Analytics - Dancing Badger

Executive summary The more marketing platforms automate, the more valuable your own customer data becomes.

Advertising, email and analytics platforms are increasingly using AI to decide who to reach, what to prioritise and how to optimise performance. Those systems can process huge amounts of information, but they still need businesses to define what a valuable customer, conversion or outcome actually looks like.

First-party data — information collected through your own customer relationships and digital touchpoints — gives automation context that is specific to your business. Purchases, qualified leads, lifecycle stage, repeat orders, product interest and customer value can all help turn generic automation into more commercially useful marketing.

Takeaway: automation makes execution easier to scale, but your competitive advantage increasingly comes from the quality of the signals you can give it.

Marketing technology is becoming very good at making decisions quickly.

Google can automate bidding, audience expansion, search matching and parts of creative delivery. Paid social platforms use machine learning to find people who are more likely to act. Email platforms can trigger journeys, personalise content and segment customers from their behaviour.

It is tempting to look at that progress and conclude that businesses need to provide less input.

In reality, the opposite is happening.

On 10 September 2026, Google described “a strong data foundation to fuel AI” as one of the three elements behind its latest measurement strategy. That is a useful summary of where modern marketing is heading.

As platforms take on more of the execution, the information used to guide those systems becomes more important.

An algorithm can optimise towards a conversion. But can it tell whether that conversion became a profitable customer? It can find more people who behave like previous buyers. But does it know which buyers stayed, reordered, bought higher-margin products or turned into long-term accounts?

Often, that knowledge sits inside the business rather than inside the advertising platform.

That is why first-party data is becoming more valuable.

01 What first-party data actually means

Your most useful marketing data is often the data your business already owns

First-party data is information a business collects directly through its own relationships, systems and customer touchpoints.

It can include obvious information such as an order, enquiry or email address. But the more commercially useful picture is usually broader than that.

A website can tell you which services or products someone explored. An ecommerce platform can show what they bought and whether they returned. A CRM can show whether an enquiry became a qualified opportunity. Email data can reveal engagement and lifecycle stage. Sales records can show revenue, margin or repeat purchase.

None of those signals is especially powerful in isolation.

The value appears when they begin to describe the relationship between customer behaviour and business outcome.

Website On-site behaviour

Pages viewed, content explored, products considered and meaningful actions taken on digital properties you control.

Lead generation Forms & enquiries

What someone asked for, which service they need, where they are based and how they chose to contact you.

CRM Sales outcomes

Lead status, qualification, opportunity value, closed business and the reasons different enquiries progress or stall.

Ecommerce Orders & products

Products bought, basket value, first purchase, repeat purchase, returns and customer buying patterns.

Retention Email engagement

Subscriptions, campaign activity, automated journeys, preferences and the stages customers move through over time.

Commercial Customer value

Revenue, margin, repeat behaviour, account value, retention and the customer groups that matter most to the business.

Your first-party data advantage

Platforms can understand general behaviour at enormous scale. Your business is the source of truth for which customers and outcomes are commercially valuable to you.

This is where Data Analysis and Audience & Segmentation start to overlap.

Analysis helps identify the behaviour and outcomes that matter. Segmentation turns those differences into useful customer groups. The result can then influence advertising, email, website journeys and wider Growth Strategy.

The important point is that first-party data is not valuable simply because it is “your data”.

It becomes valuable when it helps the business make a better decision.

02 Why automation changes the value of data

Automation can optimise faster — but it still needs to know what good looks like

Traditional digital marketing involved more manual decision-making.

A marketer selected keywords, built audiences, set bids, wrote variations, chose segments and adjusted activity after reviewing performance.

Those jobs have not disappeared, but platforms increasingly make more of the individual delivery decisions themselves.

In paid search, for example, automated bidding and AI-led campaign features can use large numbers of signals to decide how aggressively to enter an auction. In paid social, automated delivery can explore audiences beyond narrow manual targeting. In email, behavioural data can trigger personalised journeys without someone manually deciding who should receive each message.

This changes the marketer’s job from controlling every individual action to improving the inputs, objectives, guardrails and feedback around the system.

Business input First-party signals

Customer type, purchase behaviour, qualified leads, revenue, product interest, lifecycle stage and other meaningful outcomes.

Platform execution Automation & AI

Bidding, matching, delivery, audience expansion, personalisation, journey triggers and other decisions can happen at scale.

Commercial result What happened next?

Did the customer buy, qualify, return, spend more, remain profitable or move into a more valuable relationship?

Feed meaningful outcomes back into planning → improve the signals → make the next round of automation more commercially informed.

This is closely related to the shift explored in Google Ads Is Becoming More Automated: What AI Max Means for Your Marketing Strategy.

The more Google makes decisions across query matching, creative, landing pages and bidding, the more important it becomes to provide a reliable conversion signal and a clear commercial objective.

But the principle is bigger than Google Ads.

Every marketing system that learns from behaviour benefits from better information about what the business actually values.

Automation makes execution easier to scale. First-party data makes that automation more specific to your business.

03 The quality of the signal matters

A conversion is useful. A commercial outcome is more useful.

Many marketing platforms are asked to optimise around the easiest event to measure.

For an ecommerce business, that might be a purchase. For a service business, it might be a completed enquiry form. Those are useful signals, but they are not always the final business outcome.

Two purchases can have different margins. Two customers can have very different repeat behaviour. Two enquiries can look identical in analytics while one becomes a valuable long-term account and the other was never suitable in the first place.

First-party data gives the business an opportunity to add that missing context.

Engagement

A customer viewed a page, watched content, clicked an advert or interacted with a campaign.

Useful context

Conversion

An enquiry, sign-up, call, booking or transaction took place.

Stronger signal

Qualified outcome

The lead was commercially relevant, the order met the right criteria or the customer matched the intended audience.

Business context

Revenue & margin

The business can compare marketing activity with the financial value it actually created.

Commercial signal

Customer value

Repeat purchase, retention, lifetime value, account growth or customer type reveals which acquisitions proved most valuable over time.

Strategic insight

For lead-generation businesses, this may mean connecting marketing data with CRM outcomes rather than stopping at form submissions.

For ecommerce, it may mean distinguishing first-time buyers from returning customers, understanding which products lead to repeat purchases, or identifying customer groups with higher long-term value.

For retention marketing, it may mean using purchase history and engagement to shape more relevant Email Marketing journeys rather than sending the same campaign to everyone.

The objective is not to upload every internal business field into an advertising platform.

It is to understand which information meaningfully improves targeting, measurement, personalisation or commercial decision-making — and connect that information responsibly.

04 One customer, several marketing systems

The real opportunity appears when first-party data stops living in silos

Many businesses already collect useful data.

The problem is that it often sits in separate systems.

Website analytics knows what happened on the site. The CRM knows whether a lead became an opportunity. The ecommerce platform knows what was purchased. The email platform knows whether the customer is active, lapsing or highly engaged. Google and Meta know how their campaigns performed inside their own environments.

Each system can be useful on its own.

But when the data can be connected appropriately, one part of the marketing system can start learning from another.

01 PPC

Use stronger conversion and customer-value signals to judge and optimise paid search against outcomes that matter.

02 Paid Social

Support audience creation, retargeting, exclusions and campaign learning with relevant first-party customer information.

03 Email

Build lifecycle journeys around purchase history, engagement, interests and customer stage instead of broad mailing lists.

04 Segmentation

Group customers by behaviour, value, need, geography, product interest or lifecycle stage to make messaging more relevant.

05 Analytics

Compare campaign activity with website behaviour, customer outcomes and commercial performance rather than channel metrics alone.

06 CRO & website

Use real audience and conversion insight to prioritise journeys, propositions, content and tests around the customers you want more of.

One source of customer truth, several useful applications

Connected data can help acquisition, retention, conversion and reporting reinforce one another rather than learning in separate channel silos.

This is why Third-party Integrations can be a marketing issue as much as a development issue.

If the website, CRM, ecommerce platform, email system and advertising tools cannot exchange the information needed for measurement or activation, the business may have valuable data without being able to use it effectively.

The same principle applies to Paid Social, PPC and CRO.

Better customer understanding should travel between channels rather than being trapped inside the platform that happened to collect it.

That is also the wider argument behind Why More Marketing Activity Doesn’t Always Mean More Growth: the channels become more useful when they stop learning in isolation.

05 Why this matters right now

Google is making first-party data a bigger part of its AI and measurement infrastructure

The direction is particularly visible in Google’s advertising and measurement products.

On 10 September 2026, Google announced a set of changes designed to make first-party data easier to connect, manage and evaluate across its marketing tools.

Google said Data Manager is being integrated directly into Google Analytics and Display & Video 360, alongside its existing role in Google Ads. It also announced that the Data Manager API is now universal and introduced a new Data Strength Uplift Metric designed to estimate the additional conversions recovered through a first-party data setup.

The announcement is important less because of any one feature and more because of what the collection of changes says about the direction of travel.

Google is not treating first-party data as a niche CRM exercise. It is positioning the data foundation as part of how AI-powered advertising is measured and improved.

September 2026 · Google measurement update

Three changes that show where first-party data is heading.

Data Manager expands

Google is integrating Data Manager into Google Analytics and DV360 to make first-party data connections easier to manage across more of its ecosystem.

One API direction

The Data Manager API is now positioned as a universal route for connecting, managing and activating data across supported advertising use cases.

Data strength becomes measurable

A new uplift metric is intended to show the additional conversions associated with stronger first-party data foundations.

Google also reports performance improvements from several of these data connections.

In its September announcement, Google said advertisers connecting offline and app data through Data Manager saw an average 26% increase in incremental ROAS, while advertisers using enhanced conversions saw an average 11% increase in Search conversions compared with standard conversion imports.

Those are Google’s own aggregated results, not a guarantee for an individual advertiser. But they reinforce a useful principle: improving the information available to the measurement and optimisation system can change what the system is able to see and learn from.

Google’s September 2026 data and measurement update

Google published its latest measurement changes on 10 September 2026, including Data Manager integrations, the universal Data Manager API and the Data Strength Uplift Metric. Read Google’s data and measurement announcement, Data Manager guidance and enhanced conversions guidance for current platform detail.

06 More data is not automatically better data

The goal is a stronger data foundation — not collecting everything you possibly can

The growing value of first-party data can easily be misunderstood as an instruction to collect more information about everyone.

It is not.

Poor-quality, duplicated, outdated or irrelevant data can make automation less useful. A CRM full of unqualified contacts does not become strategically valuable just because it is large. An email list does not become better because more addresses have been added to it. A conversion event does not become useful if it is firing incorrectly or measuring an action with little commercial meaning.

Data quality and data governance therefore become part of marketing performance.

Businesses need to know where information came from, why it is being collected, whether it is accurate, how long it should be retained and what it can legitimately be used for.

For UK organisations, first-party data does not sit outside data-protection and direct-marketing rules simply because it was collected directly.

The ICO continues to emphasise principles including lawfulness, fairness and transparency, purpose limitation, data minimisation, accuracy and storage limitation. Its direct-marketing guidance also makes clear that organisations should plan how customer information will be used and respect people’s marketing preferences.

In practical terms, that means the better marketing-data strategy is usually collect what has a clear purpose, keep it accurate, connect it carefully and use it transparently.

First-party data still needs responsible governance

The ICO’s current guidance covers the UK data-protection principles and responsible use of personal information for direct marketing. See its data protection principles and direct marketing guidance. The ICO notes that some guidance is being reviewed following the Data (Use and Access) Act, so implementation should always be checked against current requirements.

Consent and tracking configuration are also part of the same foundation.

Tools such as Cookiebot can help businesses manage consent choices, while analytics and advertising configurations still need to be designed around the organisation’s actual data requirements and responsibilities.

First-party data is valuable because it can be relevant and specific — not because it gives a business unrestricted permission to use personal information however it wants.

07 From collection to activation

Most businesses do not need more tools. They need a clearer data flow.

The technology stack can become complicated very quickly.

CRM. Ecommerce. Analytics. Consent management. Email. Advertising platforms. Customer service. Data warehouses. Reporting dashboards. Integrations.

Adding another platform does not automatically solve the problem.

The more useful question is whether the information needed to make a decision can move from the place it is created to the place it can create value.

Stage 01 Collected

Useful information exists across website forms, ecommerce, CRM, email and analytics, but each system is mostly viewed separately.

Stage 02 Connected

Key systems exchange the information needed to understand the customer journey and relate marketing activity to business outcomes.

Stage 03 Activated

Relevant customer data informs segmentation, advertising, retention, personalisation, conversion journeys and commercial reporting.

Stage 04 Improved

Performance feeds back into the system so the business can refine audiences, measurement, journeys and strategy over time.

This is where DB Analytics can play a different role from an advertising dashboard.

A platform is naturally strongest at explaining what happened inside its own environment. A wider analytics view can compare channels with website behaviour, customer outcomes and other commercial information.

That is also why the earlier question — what data should we track? — needs to come before the question of how much data can be collected.

The right data foundation starts with the decisions the business needs to make.

08 What businesses should do now

Start with customer value, then work backwards into the data

A first-party data strategy does not need to begin with a large technology project.

In many businesses, the first useful step is simply to map what information already exists, where it sits and which decisions would improve if that information was better connected.

A practical first-party data review

1 Define what a valuable customer looks like Revenue matters, but so can margin, lead quality, repeat purchase, service fit, geography, retention or long-term account value.

2 Map the data you already collect Identify useful information across the website, CRM, ecommerce, email, sales, customer service and analytics before buying another tool.

3 Separate activity from outcome Know the difference between a click, a conversion, a qualified lead, a sale and a genuinely valuable customer.

4 Find the disconnected systems Look for places where useful information stops: CRM outcomes that never reach marketing, purchases that never shape email, or website behaviour that never informs segmentation.

5 Choose the activation use case Decide whether the data should improve measurement, advertising, retention, personalisation, CRO, reporting or another specific business decision.

6 Check consent, purpose and data quality Make sure the information is collected and used appropriately, remains accurate and is not retained or activated simply because it might be useful one day.

7 Feed commercial learning back into marketing Use real customer outcomes to refine campaigns, segments, website journeys, content and budget decisions.

8 Measure whether the connection improved anything Better data architecture is only valuable if it leads to better decisions, stronger measurement, improved customer journeys or more profitable growth.

The most important step is the first one.

If a business has not agreed what a high-quality lead, profitable customer or valuable repeat buyer looks like, connecting more data will only automate an unclear objective.

Once the commercial outcome is defined, the technology becomes much easier to judge.

Does this integration give the campaign a better outcome signal? Does this customer field create a useful segment? Does this email behaviour tell us something actionable? Does this dashboard connect activity with revenue? Does this automation reflect how customers actually buy?

Those are better questions than simply asking whether the business is “using AI”.

09 The competitive advantage

When everyone has access to similar automation, your customer intelligence becomes more distinctive

Marketing platforms are becoming easier to automate.

That means many businesses can access similar bidding systems, campaign types, AI tools, personalisation features and reporting interfaces.

The technology itself is therefore less likely to be the whole competitive advantage.

What remains specific to each organisation is its customer relationship.

Your history of enquiries. Your purchase behaviour. Your repeat customers. Your sales outcomes. Your product mix. Your margins. Your audience knowledge. Your understanding of which customers are genuinely a good fit.

That information cannot be copied from a competitor’s campaign account.

As automation becomes more capable, businesses that understand and responsibly activate those signals have a better chance of directing the technology towards the outcomes they actually care about.

The automation advantage

AI can make more marketing decisions. Your first-party data helps make those decisions more relevant to your business.

The next phase of digital marketing is not about choosing between automation and human strategy. It is about combining automated execution with better customer intelligence, clearer commercial objectives and reliable measurement.

At Dancing Badger, that means treating data as part of the wider growth system rather than a reporting layer added at the end.

Growth Strategy defines the commercial objective. Data Analysis identifies the signals that matter. Audience & Segmentation turns customer differences into usable groups. Integrations help the information move between systems. PPC, Paid Social and Email Marketing can then activate those insights in different parts of the customer journey.

The more marketing becomes automated, the more important it is to make sure the automation is learning from the right things.

Your first-party data is one of the clearest ways to tell it what matters.

Service Data Analysis

Connect marketing performance with customer behaviour and commercial outcomes so decisions are based on evidence rather than platform metrics alone.

Service Audience & Segmentation

Turn customer behaviour, value and lifecycle information into sharper groups for targeting, messaging and reporting.

Service Email Marketing

Use customer and purchase behaviour to create more relevant campaigns, lifecycle automation and retention journeys.

Partner Google

Advertising and measurement tools where conversion quality, customer data and automation increasingly work together.

Partner Klaviyo

Customer marketing built around ecommerce data, segmentation, automation and stronger repeat-customer journeys.

Service Third-party Integrations

Connect websites, ecommerce, CRM, analytics and marketing tools so useful information can move between the systems that need it.

Is your customer data helping your marketing learn — or just sitting in separate systems?

We can review how customer, website, advertising, ecommerce and CRM data currently flows through your marketing setup, identify the signals that are commercially useful, and prioritise the integrations, measurement and segmentation opportunities most likely to improve decision-making.

Growth Strategy Data Analysis DB Analytics Audience & Segmentation PPC Paid Social Email Marketing Third-party Integrations CRO AI Marketing Google Klaviyo

Operating within the luxury home and interiors sector requires more than simply attracting traffic. Success depends on reaching the right customers, showcasing products effectively and creating a seamless path to purchase.

Dancing Badger worked with Brights of Nettlebed to improve visibility, strengthen customer acquisition and maximise the return from digital marketing activity. Through a combination of SEO, PPC optimisation, audience targeting and data analysis, we developed a strategy focused on delivering measurable commercial growth.

The result was improved engagement, stronger conversion performance and increased visibility across multiple acquisition channels.

+364%

Year On Year Ad Conversions

View the Brights of Nettlebed project

Key Results

+321%

Increase in Direct Traffic

Brand awareness and customer engagement increased significantly, resulting in more than three times as many direct sessions year on year.

+78%

Increase in Organic Search Conversions

SEO-led improvements helped organic search generate substantially more conversion events, demonstrating improved visibility and stronger user engagement.

+53%

Increase in Paid Search Traffic

Targeted paid search activity increased traffic volumes while maintaining strong engagement and conversion quality.

+58.9%

Increase in Paid Search Conversions

Campaign optimisation and improved targeting delivered significant growth in key conversion actions from paid search users.

+52%

Improvement in Paid Search Conversion Rate

Paid Search session conversion rates increased substantially year on year, demonstrating more effective traffic acquisition and optimisation.

The Client

Brights of Nettlebed is a well-established luxury retailer offering premium furniture, interiors and lifestyle products.

The business serves customers seeking quality craftsmanship, timeless design and exceptional products for the home. As competition within ecommerce continues to increase, maintaining visibility across organic and paid channels is essential for attracting new customers and driving online sales.

The Challenge

While Brights of Nettlebed already had a strong reputation, opportunities existed to improve digital acquisition performance and maximise marketing efficiency.

Our objectives included:

Increasing high-quality website traffic
Expanding organic search visibility
Improving paid advertising performance
Strengthening conversion rates
Improving audience targeting
Enhancing customer journeys
Increasing acquisition across multiple channels
Supporting long-term ecommerce growth

The goal was to create a joined-up digital strategy capable of delivering sustainable commercial improvements.

Our Role

Data Analysis & Growth Strategy

The project began with a comprehensive review of website and campaign performance data.

Our data analysis focused on:

Acquisition channels
User behaviour
Conversion performance
Campaign effectiveness
Audience segmentation
Product engagement
Growth opportunities

These insights allowed us to prioritise activity and focus investment on the channels delivering the strongest returns.

SEO Strategy

SEO activity focused on improving visibility and helping customers discover products through organic search.

This included:

Keyword research
Technical SEO improvements
Metadata optimisation
Content recommendations
Internal linking enhancements
Search intent analysis
Ongoing performance monitoring

These improvements helped maintain strong organic visibility while increasing conversion opportunities from search traffic.

PPC Management

Paid media activity was continually refined to improve performance and efficiency.

Our PPC work included:

Campaign optimisation
Audience targeting
Search term analysis
Bid management
Budget allocation
Ad testing
Landing page recommendations

These refinements generated stronger engagement and increased conversion performance from paid channels.

Audience Segmentation & CRO

Understanding customer behaviour played an important role throughout the project.

Through audience analysis and conversion rate optimisation recommendations, we identified opportunities to:

Improve user journeys
Enhance product discovery
Reduce friction during the buying process
Increase conversion rates
Improve marketing effectiveness

This helped maximise the value of incoming traffic.

AI Recommendations & Copywriting

Alongside manual analysis, AI-assisted recommendations were used to identify growth opportunities, enhance content and support optimisation efforts across the website.

This ensured ongoing improvements were informed by both data and user intent.

The Approach

The strategy was built around a simple principle: use data to identify where the greatest opportunities existed and focus resources accordingly.

Rather than treating SEO and PPC as separate disciplines, performance insights were shared across channels.

Search behaviour informed content planning.
Campaign performance informed acquisition strategy.
User engagement informed CRO recommendations.
Audience data informed targeting and segmentation.

This integrated approach created a more efficient and effective growth programme.

Results

Key Outcomes

321% increase in Direct traffic
78% increase in Organic Search conversions
53% increase in Paid Search traffic
58.9% increase in Paid Search conversions
52% improvement in Paid Search conversion rate
Improved engagement across paid and organic channels
Stronger customer acquisition performance
Enhanced audience targeting and segmentation
More effective conversion pathwaysIncreased visibility across key acquisition channels

Strengthening Acquisition Across Organic & Paid Channels

A key success of the project was creating stronger alignment between acquisition channels.

SEO activity helped attract highly engaged visitors through organic search, while PPC campaigns captured high-intent customers actively researching products and ready to purchase.

Together, these channels generated stronger customer acquisition opportunities and increased conversion performance across the website.

Turning Data Into Commercial Growth

Performance data sat at the centre of every recommendation made throughout the project.

By continually analysing customer behaviour, campaign results and engagement metrics, we were able to identify new opportunities, refine existing activity and ensure marketing investment remained focused on delivering measurable outcomes.

This approach allowed Brights of Nettlebed to make informed decisions and continually improve performance across digital channels.

Combining SEO, PPC & CRO for Sustainable Growth

The success of the project came from integrating multiple marketing disciplines into a single strategy.

SEO improved long-term visibility.
PPC generated targeted traffic.
Audience segmentation improved targeting accuracy.
CRO enhancements improved conversion performance.

Together, these activities delivered stronger acquisition performance and helped build a sustainable foundation for future ecommerce growth.

Conclusion

The Brights of Nettlebed project demonstrates the value of combining SEO, PPC, audience insight and conversion optimisation within a unified growth strategy.

Through ongoing analysis, campaign optimisation and customer-focused improvements, Dancing Badger helped Brights of Nettlebed increase traffic, improve conversion performance and strengthen marketing efficiency.

The result was a 321% increase in Direct traffic, a 53% increase in Paid Search traffic, a 58.9% increase in Paid Search conversions and a 78% increase in Organic Search conversions, creating a stronger platform for long-term ecommerce growth.

National Family Mediation operates within a highly sensitive and competitive sector where individuals often require support during significant life events. Ensuring that users can quickly find trusted information and access appropriate mediation services is essential.

Dancing Badger worked closely with National Family Mediation to improve online visibility, increase enquiry volumes and maximise the performance of digital marketing activity. By combining SEO, paid advertising, audience analysis and ongoing optimisation, we created a strategy focused on reaching users at the point they were actively seeking support.

The result was stronger campaign performance, increased lead generation and a more effective digital acquisition strategy.

+43.9%

Increase in PPC Conversions Year on Year

View the National Family Mediation project

Key Results

+43.9%

Increase in PPC Conversions Year on Year

Targeted campaign improvements and ongoing optimisation generated significantly more enquiries and conversion opportunities from paid media.

+47.4%

Increase in PPC Clicks Year on Year

Improved visibility and audience targeting helped National Family Mediation reach substantially more prospective service users.

+268%

Improvement in Paid Search Conversion Rate

Campaign refinements dramatically increased the proportion of users completing key actions after arriving via paid search.

+150%

Increase in Paid Search Key Events

Paid Search generated significantly stronger lead-generation performance compared with the previous year.

The Client

National Family Mediation is a leading, non-profit provider of family mediation services, helping families find constructive solutions to challenges involving separation, finances and child arrangements.

As more people turn to search engines when seeking information about mediation services, maintaining strong visibility across both organic and paid channels is vital for connecting individuals with appropriate support.

The Challenge

National Family Mediation already had a well-established service offering, but opportunities existed to strengthen digital performance and improve lead generation.

Key objectives included:

Increasing qualified enquiry volumes
Improving PPC efficiency
Strengthening visibility for mediation-related searches
Improving audience targeting
Enhancing user journeys
Increasing conversion rates
Expanding reach across key acquisition channels
Using data more effectively to support decision-making

The goal was to ensure marketing investment generated the greatest possible impact while helping more people access mediation services.

Our Role

Data Analysis & Strategic Planning

The project began with a detailed review of performance data across Google Analytics 4, Google Ads and website engagement metrics.

Our analysis focused on:

User acquisition channels
Conversion performance
Audience behaviour
Search demand
Campaign efficiency
User journeys
Engagement metrics

This insight allowed us to identify opportunities for growth and prioritise optimisation activity around channels with the highest potential.

SEO Strategy

Alongside paid advertising improvements, we delivered ongoing SEO support designed to strengthen organic visibility and improve website relevance.

Activities included:

Keyword research
Search intent analysis
Content recommendations
Metadata optimisation
Internal linking recommendations
Technical SEO improvements
Page-level optimisation

This ensured National Family Mediation continued to maintain a strong presence in organic search whilst supporting long-term visibility growth.

PPC Management & Optimisation

A significant focus of the project was improving the performance of paid search campaigns.

Our work included:

Campaign restructuring
Audience segmentation
Bid optimisation
Search term analysis
Budget management
Ad copy testing
Landing page recommendations
Ongoing performance reviews

These refinements helped improve campaign quality, attract more relevant traffic and increase conversion volumes.

Audience & Segmentation

Understanding audience behaviour was central to the strategy.

Through segmentation analysis, we were able to better understand how different users searched for and engaged with mediation services. This enabled more targeted campaign delivery and improved advertising efficiency.

AI Recommendations & Copywriting

Using a combination of expert analysis and AI-assisted recommendations, we identified opportunities to improve messaging, strengthen content and enhance user engagement throughout the website.

This supported both SEO performance and conversion optimisation efforts.

The Approach

The strategy focused on creating a joined-up digital marketing programme where every channel contributed towards the same objective: generating more qualified enquiries.

Rather than treating SEO and PPC as separate activities, insights were shared across channels to create a more cohesive acquisition strategy.

Search behaviour informed content improvements.
Campaign data informed audience targeting.
User behaviour informed conversion recommendations.
Performance analysis informed future optimisation priorities.

This integrated approach ensured activities remained aligned with measurable business outcomes.

Results

Key Outcomes

43.9% increase in PPC conversions year on year
47.4% increase in PPC clicks year on year
268% improvement in Paid Search conversion rate
150% increase in Paid Search key events
Improved lead generation performance
Greater efficiency from marketing spend
Enhanced audience targeting
Strong organic search visibility maintained
Increased acquisition opportunities across multiple channels
More users successfully engaging with mediation services

Improving the Quality of Enquiries

One of the project’s primary objectives was not simply to attract more traffic but to improve the quality of traffic reaching the website.

By refining audience targeting, improving campaign relevance and enhancing user journeys, National Family Mediation was able to connect with more individuals actively seeking mediation support and increase the likelihood of meaningful engagement.

This improvement in traffic quality contributed directly to stronger conversion performance across digital channels.

Using Data to Drive Better Decisions

Data analysis remained at the centre of every recommendation throughout the project.

Regular performance reviews allowed us to identify trends, uncover new opportunities and continually refine campaign activity.

This ensured optimisation decisions were driven by real user behaviour rather than assumptions, helping National Family Mediation maximise the effectiveness of its digital marketing investment.

Combining SEO, PPC & Audience Insight

The success of the project came from integrating multiple disciplines into a single growth strategy.

SEO supported long-term visibility.
PPC generated immediate demand.
Audience segmentation improved targeting.
Data analysis informed optimisation.

Together, these activities created a stronger and more sustainable digital acquisition framework capable of delivering measurable results.

Conclusion

The National Family Mediation project demonstrates the value of combining SEO, PPC, audience insight and data analysis to drive meaningful lead-generation growth.

Through ongoing optimisation, campaign refinement and a data-led approach to decision-making, Dancing Badger helped National Family Mediation increase visibility, improve conversion performance and generate substantially more enquiries.

The result was a 47.4% increase in PPC clicks, a 43.9% increase in PPC conversions and a 268% improvement in Paid Search conversion rate, creating a stronger platform for long-term growth and helping more individuals access the support they need.

English Roses operates within a highly competitive ecommerce market where customers are often purchasing for significant life events, celebrations and milestones.

Success depends on reaching customers at the right moment with the right message, whether they are searching for anniversary gifts, named roses, birthday presents or commemorative products.

Dancing Badger worked closely with English Roses to create a marketing strategy that combined organic search growth with more efficient paid advertising and conversion improvements. The objective was not simply to generate more traffic, but to increase the quality of visitors arriving on the site and improve overall return on investment.

+312%

ROI Increase Year On Year

View the English Roses project

Key Results

+312%

Increase in ROI Year on Year

A combination of SEO, PPC optimisation, audience targeting and conversion improvements delivered substantially stronger marketing efficiency and commercial return.

+544%

Growth in Traffic from Key Anniversary Search Themes

Improved rankings and visibility helped English Roses capture significantly more users searching for milestone anniversary gifts.

+208%

Growth in Ruby Wedding Anniversary Search Visibility

Targeted optimisation and improved content helped strengthen performance for one of the site’s most commercially valuable anniversary categories.

+530%

Increase in Referral Traffic

Broader brand visibility and improved digital performance contributed to substantial growth from referral channels.

The Client

English Roses specialises in named roses, anniversary roses and commemorative gift products designed to celebrate life’s most important moments.

The brand has built a strong reputation for quality and personalisation, making it a popular choice for customers searching for meaningful gifts to mark birthdays, anniversaries and special milestones.

As search behaviour continues to evolve, maintaining visibility across both transactional and informational searches became increasingly important for continued growth.

The Challenge

Although English Roses already had a strong foundation, several opportunities existed to improve performance.

These included:

Increasing visibility beyond brand searches
Growing market share across anniversary gifting categories
Improving PPC efficiency and return on ad spend
Identifying new customer acquisition opportunities
Strengthening rankings for commercial gifting searches
Improving conversion performance
Expanding visibility for rose-related informational searches
Creating a more data-driven growth strategy

The challenge was to develop a scalable approach capable of delivering sustainable growth across multiple marketing channels.

Our Role

Data Analysis & Strategic Planning

Every recommendation was informed by data.

Using Google Analytics 4, Google Search Console and advertising platform insights, we analysed:

Customer acquisition channels
Seasonal purchasing trends
Product performance
Search demand
Audience behaviour
Conversion opportunities
Campaign effectiveness

This analysis formed the foundation for both SEO and paid marketing strategies.

SEO Strategy

Our SEO programme focused on increasing visibility across commercially valuable search themes.

This included:

Keyword research
Search intent analysis
Metadata optimisation
Technical SEO improvements
Internal linking enhancements
Category page optimisation
Content development
Ongoing performance monitoring

Particular focus was placed on high-converting anniversary-related searches where demand and purchase intent were strongest.

PPC Optimisation

Paid advertising campaigns were continually refined through:

Audience segmentation
Search term analysis
Bid adjustments
Budget optimisation
Campaign restructuring
Ad copy testing
Landing page recommendations

This helped deliver greater efficiency from advertising spend while improving overall return on investment.

CRO & User Experience Improvements

Alongside acquisition activity, we identified opportunities to improve conversion performance throughout the customer journey.

Recommendations focused on:

User experience improvements
Customer journey optimisation
Landing page enhancements
Product discovery
Purchase decision support

These improvements ensured more traffic translated into commercial results.

Content Strategy

Search data revealed significant opportunities across content themes including:

Wedding anniversaries
Milestone birthdays
Named roses
Rose varieties
Gift inspiration
Rose meanings
Seasonal gifting occasions

Strategic content development helped English Roses capture additional search demand whilst strengthening topical authority across key product categories.

The Approach

The project was built around a unified growth strategy where SEO, PPC, content and conversion optimisation worked together.

Rather than treating channels independently, insights were shared across every aspect of the marketing programme.

Search data informed content creation.
PPC data informed SEO priorities.
Customer behaviour informed conversion improvements.
Seasonality data informed promotional planning.

This integrated approach ensured resources were focused on areas with the greatest commercial potential.

Results

Key Outcomes

312% increase in ROI year on year
544% growth across key anniversary search themes
208% increase in Ruby Wedding Anniversary search performance
530% increase in referral traffic
Increased visibility across gifting-related search queries
Improved rankings for milestone anniversary keywords
Enhanced PPC efficiency and campaign performance
Stronger audience targeting and segmentation
Greater reach beyond existing brand demand
Improved customer acquisition opportunities
Increased visibility throughout the customer buying journey

Strengthening Visibility for Anniversary Gifting

One of the most successful areas of the project was expanding visibility across anniversary-related searches.

Search data highlighted growing demand around milestone anniversaries, with particularly strong opportunities in categories such as Ruby, Golden, Diamond and other commemorative gifting occasions.

By improving category optimisation, refining keyword targeting and creating supporting content, English Roses strengthened its visibility across some of its most commercially valuable search themes.

This not only generated additional traffic but also introduced the brand to a wider audience actively researching meaningful anniversary gifts.

Building Demand Beyond Brand Searches

A key objective was reducing reliance on existing brand awareness by increasing visibility among new customers.

Through category optimisation, content development and strategic campaign management, English Roses expanded its reach across broader gifting and rose-related searches.

This allowed the business to appear earlier in the customer journey, creating more opportunities to influence purchasing decisions before competitors.

Combining SEO, PPC & Data for Long-Term Growth

The project demonstrates the power of integrating multiple channels under a single growth strategy.

Rather than focusing on individual tactics, every recommendation was driven by customer behaviour, search demand and commercial performance.

The combination of SEO, PPC, content, conversion optimisation and strategic analysis enabled English Roses to improve visibility, attract more qualified visitors and increase marketing efficiency across the business.

Conclusion

The English Roses project demonstrates how a data-led marketing strategy can unlock substantial ecommerce growth.

Through a combination of SEO, PPC optimisation, audience segmentation, conversion improvements and content development, Dancing Badger helped English Roses strengthen its online presence, increase customer acquisition opportunities and achieve a 312% increase in ROI year on year.

Most importantly, the project established a scalable framework for continued growth, enabling English Roses to expand visibility beyond existing brand demand and reach more customers at every stage of their buying journey.

LHP Medical Aesthetics operates within a highly competitive market where patients increasingly conduct extensive online research before booking a consultation.

The objective was to increase the clinic’s visibility across organic search, improve how users discovered treatments and create a website structure that better aligned patient concerns with available solutions.

Dancing Badger delivered a comprehensive SEO strategy combining technical optimisation, content development, keyword research and website improvements. The project was designed not only to increase traffic but to improve the quality of traffic arriving on the website and make it easier for users to find relevant treatment information.

+75.07%

Increse in Organic Traffic Year On Year

View the LHP Medical Aesthetics project

Key Results

+75.07%

Increase in Organic Traffic Year on Year

A strategic SEO and content programme delivered substantial year-on-year organic growth and established organic search as the clinic’s strongest acquisition channel.

+73.35%

Growth in Organic Search Sessions

Organic search sessions increased by more than 73%, demonstrating significantly improved visibility across treatment and condition-related searches.

+530.77%

Increase in Referral Traffic

Enhanced visibility and a stronger online presence contributed to a substantial increase in referral traffic year on year.

The Client

LHP Medical Aesthetics offers advanced non-surgical aesthetic treatments designed to address a range of skin, facial and ageing concerns.

The clinic’s focus on professional treatments and patient care meant there was a strong opportunity to attract more qualified traffic through organic search, provided the website could effectively match patient intent and answer key pre-treatment questions.

The Challenge

The website contained valuable treatment information, but several challenges were limiting its ability to maximise organic performance:

Opportunities to improve visibility for treatment-related keywords
Limited coverage of condition-based searches
Scope to strengthen internal linking between treatments
Opportunities to expand topical authority through supporting content
Potential to improve technical and on-page SEO signals
Need for a clearer patient journey between concerns and treatments

The challenge was to create a structure that worked for both users and search engines while supporting future growth.

Our Role

Data Analysis & Insights

The project began with a comprehensive review of performance data using Google Search Console and Google Analytics 4.

This analysis helped identify:

Treatment pages with the greatest growth potential
Search behaviour trends
User engagement patterns
Content gaps
High-value keyword opportunities
Areas requiring optimisation

By understanding how users interacted with the website, we could make more informed strategic recommendations.

SEO Strategy

A full SEO optimisation programme was implemented across the website, including:

Keyword research
Page title optimisation
Meta description updates
Heading structure optimisation
Content improvements
Internal linking enhancements
Technical SEO recommendations

Each key page was reviewed and optimised to improve relevance, search visibility and user experience.

Conditions Section Development

One of the most significant improvements was the introduction of a dedicated Conditions section.

Rather than focusing exclusively on treatment names, the new structure addressed the concerns patients were actively searching for, including issues such as skin ageing, pigmentation, acne and rosacea.

Each condition page was linked to the most appropriate treatment options, creating a more intuitive user journey while helping search engines better understand the relationship between concerns and solutions.

Content Cluster Strategy

To strengthen topical authority, we analysed search behaviour and developed supporting content clusters around key treatment areas.

This content strategy focused on building relevance around themes including:

Skin rejuvenation
Anti-ageing treatments
Acne and acne scarring
Pigmentation concerns
Facial aesthetics
Preventative treatments
Skin health and maintenance

The resulting content ecosystem helped support both category-level visibility and treatment page performance.

AI Recommendations & Copywriting

Alongside manual SEO analysis, AI-assisted recommendations were used to identify content opportunities, strengthen internal linking and enhance topical coverage across the website.

This allowed content improvements to be implemented strategically and at scale.

The Approach

The project focused on aligning the website more closely with real-world patient behaviour.

Rather than simply promoting treatments, the strategy was built around understanding:

What prospective patients were searching for
Which concerns generated the highest demand
How users moved through the website
Which content gaps existed within the patient journey

From this analysis, we implemented a joined-up strategy consisting of:

Technical SEO improvements
Enhanced site architecture
Conditions-based content
Treatment page optimisation
Strategic internal linking
Blog content cluster development

Together, these improvements created a website that was more visible, more useful and better positioned to attract qualified traffic.

Results

Key Outcomes

75.07% increase in organic traffic year on year
73.35% increase in organic search sessions
More than 530% increase in referral traffic
Organic search became the clinic’s primary acquisition channel
Improved visibility across treatment and condition-related searches
Enhanced internal linking structure
Creation of a dedicated Conditions hub
Stronger content relevance and topical authority
Increased engagement from organic search users
More opportunities for consultation enquiries and lead generation

Creating Condition-Led Patient Journeys

A significant factor in the project’s success was understanding how patients search.

Many prospective clients search for concerns such as acne, rosacea, pigmentation or ageing skin before they search for a specific treatment.

The dedicated Conditions section allowed LHP Medical Aesthetics to address this behaviour directly, helping users find relevant information faster and creating stronger pathways towards appropriate treatments.

Building Authority Through Content

The content cluster strategy enabled LHP Medical Aesthetics to grow beyond individual treatment pages.

By creating supporting content around key aesthetic themes and patient concerns, the website was able to address a wider range of search intents while strengthening the authority of core treatment pages through strategic internal linking.

This approach laid the foundations for continued long-term organic growth.

Conclusion

The LHP Medical Aesthetics project demonstrates the value of combining data analysis, SEO expertise and content strategy to drive sustainable growth.

Through a comprehensive programme of keyword research, website optimisation, condition-led content development and topical authority building, Dancing Badger helped transform organic search into the clinic’s leading digital acquisition channel.

The result was a 75.07% increase in organic traffic, a 73.35% increase in organic search sessions and significantly greater visibility across both treatment and condition-focused searches, helping more prospective patients discover the right solutions at the right stage of their journey.

Executive summary Google AI Max gives Google more freedom to decide which searches to target, what ad message to show and which page on your website to send people to.

For businesses, that could mean reaching relevant customers with less manual campaign building — but it also makes your website, conversion tracking and commercial goals more important. AI Max is not a “set and forget” tool: the better the inputs and guardrails, the more useful the automation is likely to be.

Takeaway: The more Google automates your ads, the more important it is to give it the right business goals, data and website experience.

Google Ads is becoming more automated. That does not mean marketing strategy is becoming less important.

In fact, the opposite is happening.

With AI Max for Search campaigns, Google can use a wider range of signals to match searches, create or adapt ad copy and, where enabled, decide which page on a website is the most relevant destination for a particular query.

At the same time, Google is beginning to move existing Search features into AI Max. Campaigns using text customisation — previously known as automatically created assets — and the campaign-level broad match setting are being upgraded from September 2026. Google has also confirmed that automatic upgrades from Dynamic Search Ads are now scheduled to begin in February 2027.

For businesses already investing in PPC, this is more than another interface update. It changes where some of the day-to-day decisions inside paid search are made.

As Google takes on more of the execution, the quality of the inputs becomes more important: your commercial objective, website, proposition, conversion tracking and understanding of what a valuable customer actually looks like.

That is the part businesses should pay attention to.

AI can help decide which query to match, which headline to assemble and which page to send a visitor to. It cannot decide what your business should be trying to achieve, whether a lead was commercially valuable or whether the campaign is creating the kind of customers you actually want.

Automation changes the work. It does not remove the need for strategy.

01 What is changing

Google Search advertising is becoming less manual

Traditional paid search has often been built around direct advertiser decisions: choose the keywords, group them into campaigns, write the ads, choose the landing pages and adjust targeting as the data comes in.

Those principles have already been changing for years through Smart Bidding, broad match, responsive search ads and automated assets.

AI Max moves that direction further.

Google describes AI Max as a suite of features for Search campaigns that can extend reach beyond the exact keywords already in an account, use information from ads and website pages to customise messaging and, where Final URL expansion is enabled, select another relevant page on the advertiser’s domain.

In simple terms, an advertiser provides more of the framework and Google’s systems can make more of the individual execution decisions within it.

Business inputs

Keywords & search themes

Existing ad assets

Landing-page content

Brand & URL controls

Conversion signals

AI Max

Search-term matching, text customisation and landing-page selection work together within the controls set by the advertiser.

Customer experience

Search query matched

Relevant creative served

Landing page selected

Customer converts — or doesn’t

This does not mean keywords have disappeared, nor does it mean advertisers have lost all control.

Google still provides brand settings, URL inclusions and exclusions, negative keywords, ad-group controls and reporting. But it does mean that the boundary between the keyword list, the advert and the website is becoming less rigid.

That makes the wider marketing system more important.

02 What AI Max actually does

AI Max connects more parts of the Search campaign

The easiest way to understand AI Max is not as one single AI feature, but as a group of capabilities that work across targeting, creative, landing pages, controls and reporting.

Search-term matching

Google can use broad-match, asset-based and landing-page-based technology to reach relevant searches beyond the exact keywords already in the account.

Text customisation

Google can generate additional headlines and descriptions using context from existing ads, keywords, assets, landing pages and the wider domain.

Final URL expansion

When enabled, Google can select another query-relevant page on the website rather than always sending traffic to the original final URL.

Brand controls

Brand inclusions and exclusions help define which brands a campaign should be associated with or avoid.

URL controls

Advertisers can guide or restrict the pages available to AI Max through URL inclusions and exclusions.

Expanded reporting

Search-term, keyword, asset and landing-page reports provide more detail about how AI Max contributed to campaign delivery.

Google’s current reporting already includes views designed to show AI Max traffic, generated or customised assets and landing pages selected through Final URL expansion.

On 23 September 2026, Google also announced a new unified reporting feature designed to show the journey from the search term, through the creative shown, to the page the user landed on. Google says additional details and availability will follow later in 2026.

That additional visibility matters because greater automation only becomes useful when advertisers can understand what the automation is actually doing.

The more Google automates the execution, the more important it becomes to be precise about the outcome you are asking it to optimise towards.

03 Automation versus strategy

Automation is not the same thing as strategy

AI Max can make a large number of decisions very quickly.

It can help identify additional searches. It can adapt text to a query. It can choose a more relevant page. It can use performance signals to inform delivery.

But those are still execution decisions.

The bigger business questions sit above them.

Which services or products are most commercially important? Which customers are most valuable? What margin can the business afford to acquire them at? Is the campaign supposed to generate volume, profit, first-time customers, repeat purchases or market share in a particular territory?

Those questions are the foundation of a Growth Strategy. They should influence what the advertising platform is asked to optimise.

Google can automate

Query matching

Find additional relevant searches beyond the advertiser’s exact keyword set.

Creative combinations

Select and customise assets based on the context of an individual search.

Landing-page selection

Route a user to a relevant page when Final URL expansion is enabled.

Bid optimisation

Use conversion and value signals to make auction-level decisions.

The business must decide

Commercial objective

What meaningful business outcome should the campaign ultimately create?

Customer value

Which leads, orders or customer groups are actually worth acquiring?

Proposition & positioning

Why should a customer choose this business rather than the alternatives?

Guardrails & validation

Which brands, searches, pages, territories and outcomes are acceptable?

This distinction matters because an advertising platform can only learn from the signals it receives.

If every form submission is treated as equally valuable, the system is being told that a poor-quality enquiry and a high-value opportunity are the same outcome.

If a sale is recorded without any understanding of margin, new versus returning customer status or longer-term value, the platform may improve the metric it can see while the commercial result remains unchanged.

This is the same principle we explored in Why More Marketing Activity Doesn’t Always Mean More Growth: channel performance becomes much more useful when it sits underneath a shared commercial objective.

04 The website becomes an input

Your website is becoming part of the advertising system

Final URL expansion is one of the most strategically important parts of AI Max.

When it is enabled, Google can send someone to a different page on the same domain if its systems believe that page is more relevant to the search and more likely to perform.

That means the quality of the website does not only affect what happens after the click.

The website can also help shape which searches a campaign reaches, what messaging Google has available as context and where the visitor is sent.

In other words, paid search optimisation is becoming harder to separate from website design, information architecture, content quality and Conversion Rate Optimisation.

01 Clear page purpose

Each important service or product page clearly explains what it is and who it is for.

02 Relevant content

Headings, copy, products and supporting information reflect genuine customer intent.

03 AI Max selection

Google has stronger contextual information when matching searches, assets and pages.

04 Better message match

The visitor arrives somewhere that more closely reflects what they were trying to find.

Outcome Commercial result

The page still has to build confidence, reduce friction and turn intent into action.

This is why a business considering AI Max should review its website at the same time.

Are there old pages that should never receive paid traffic? Are service pages too broad to give Google or the customer a clear signal? Are products out of stock? Are there editorial pages that are useful for research but inappropriate as conversion destinations?

URL exclusions and inclusions can provide campaign guardrails, but they do not replace good website structure.

The stronger the site, the better the raw material available to both the platform and the visitor.

05 The measurement question

The conversion signal matters more when the platform is learning from it

Automation becomes powerful when the system is learning towards a useful outcome.

It becomes dangerous when the system is learning towards the wrong one.

That is why conversion tracking should not stop at “someone completed the form” or “someone bought something”.

For many businesses, the real commercial question is what happened next.

Signal 01 Click

Someone responded to the advert.

Signal 02 Conversion

A form, call, purchase or other tracked action occurred.

Signal 03 Qualified outcome

The lead was relevant or the order met the business’s commercial criteria.

Signal 04 Revenue

The activity resulted in actual income rather than only a platform event.

Signal 05 Customer value

Margin, repeat purchase, lifetime value, territory or customer type reveals what the acquisition was really worth.

The goal is not necessarily to feed every business metric into an advertising platform. It is to make sure campaign decisions are checked against the commercial outcome — not just the easiest conversion to count.

That requires reliable tracking and a broader view of performance.

Our Data Analysis work and DB Analytics are designed around that principle: advertising data is useful, but it is more useful when it can be compared with website behaviour, customer data and real commercial outcomes.

Consent and data quality also matter. If the measurement foundation is incomplete or incorrectly configured, the automation is working with a less reliable picture. That is one reason technologies such as Cookiebot can form part of the wider measurement setup rather than sitting separately from marketing performance.

For a deeper look at choosing the right metrics, see Knowing What Data Analytics to Track Based on Your Marketing Goals.

06 Control is changing, not disappearing

More automation still needs active management

One of the understandable concerns around AI-led advertising is loss of control.

AI Max certainly moves some decisions away from the traditional keyword-and-ad model, but advertisers still have important controls available.

These include negative keywords, brand inclusions and exclusions, URL inclusions and exclusions, feature-level settings and reporting that can be used to review what Google is matching, generating and selecting.

Google’s own guidance also recommends allowing an AI Max campaign time to learn before making rapid changes. In its current reporting documentation, Google suggests waiting at least two weeks after enabling AI Max on a new or existing Search campaign before making changes such as adding negative keywords.

That does not mean leaving a campaign unattended for two weeks. It means separating genuine problems from normal learning and judging performance with enough data.

From September 2026 Existing features move into AI Max

Campaigns using text customisation and the campaign-level broad match setting are being automatically upgraded to AI Max.

23 September 2026 New unified reporting announced

Google announced a view connecting search terms, creative assets and landing pages. Further availability details are due later in 2026.

From February 2027 Dynamic Search Ads transition

Google says automatic upgrades from Dynamic Search Ads to AI Max will begin in February 2027 after extending the original transition timetable.

Google’s current AI Max documentation

For the latest platform-specific detail, see Google’s official How AI Max for Search campaigns works, AI Max reporting guide and Dynamic Search Ads transition announcement. Google Ads features and rollout dates can change, so campaign settings should always be checked against the live account before implementation.

07 What businesses should do now

Don’t switch on more automation until you know what you want it to improve

AI Max should not be approached as a simple “on or off” question.

The better question is whether the account, website and measurement setup are ready for a system that can make more decisions on the advertiser’s behalf.

For some campaigns, that may create useful additional reach and reduce the need to build every possible query manually.

For others, poor conversion data, weak landing pages or unclear commercial priorities may simply allow the platform to automate the wrong things faster.

An AI Max readiness review

1 Define the commercial outcome Be clear about whether success means qualified leads, sales, revenue, margin, first-time customers, repeat purchase or another measurable business result.

2 Audit conversion tracking Check that the actions being used for optimisation are real indicators of value and that duplicate, weak or misleading conversions are not distorting the signal.

3 Review landing pages Identify which pages are strong enough for paid traffic, which need improving and which should be excluded from automated routing.

4 Set the guardrails Review negative keywords, brand settings, URL rules, geographic intent and messaging restrictions before increasing automation.

5 Test rather than assume Compare performance against a meaningful baseline and judge the result using customer quality and commercial outcomes as well as platform metrics.

6 Review what Google actually did Use search-term, asset and landing-page reporting to understand where the additional reach came from and whether the customer journey remained relevant.

This is where experienced PPC management changes rather than disappears.

Less time may eventually be spent building exhaustive keyword structures or manually writing variations for every possible query. More time can be spent on strategy, exclusions, creative quality, landing pages, measurement, customer value and deciding where automation should — and should not — be trusted.

The skill becomes managing the system rather than manually controlling every individual action inside it.

08 The wider direction

Paid search is becoming part of a bigger growth system

AI Max also reinforces a wider change happening across digital marketing.

Platforms are becoming better at connecting intent, audiences, content, creative and conversion signals. The traditional boundaries between SEO, PPC, website content, CRO and analytics are becoming less useful when the same information can influence several parts of the customer journey.

That does not make specialist expertise less important.

It makes collaboration between specialists more important.

A PPC team needs to understand the website. A website team needs to understand search intent. A data team needs to understand which conversions matter commercially. A growth strategist needs to understand how the channels influence one another.

This is also why businesses should avoid judging paid search only by what appears inside the Google Ads dashboard.

Google Ads is one part of the commercial system. The real result happens when the right customer finds the business, lands in the right place, understands the proposition and takes an action that creates value.

AI Max & paid search

Google can automate more of the campaign. It cannot automate your commercial strategy.

The businesses most likely to benefit from greater automation will be the ones that give it better inputs: clearer objectives, stronger websites, cleaner data, useful guardrails and a better understanding of which customers actually create growth.

At Dancing Badger, we see AI Max as part of the continued evolution of paid search rather than a reason to hand control over to the platform and stop asking questions.

Google remains one of the strongest channels for capturing active demand, which is why it forms an important part of our Google advertising and analytics work.

But strong performance still depends on what surrounds the campaign: strategy, targeting, tracking, landing-page quality and the commercial decisions made from the data.

The technology is changing quickly. The principle is not.

Know what growth means for the business, give the platform good information, measure the outcome and keep humans responsible for the decisions that matter.

Service PPC Management

Paid media strategy, targeting, campaign management, conversion tracking and ongoing optimisation.

Partner Google

How Dancing Badger uses Google Search, advertising and analytics to capture high-intent demand.

Service Growth Strategy

Connect channel decisions to the commercial outcome the business is actually trying to improve.

Not sure whether your Google Ads account is ready for more automation?

We can review the campaign structure, AI Max settings, conversion tracking, landing pages and commercial objectives together — then identify where automation can help and where tighter control is still needed.

PPC Google Growth Strategy Data Analysis DB Analytics Website Design CRO Copywriting Cookiebot

One of the most important pieces of infrastructure behind online advertising has just been ordered to become more open.

On 16 September 2026, the full remedies in the US Department of Justice’s ad-tech case against Google were made public. The US District Court for the Eastern District of Virginia stopped short of breaking Google’s advertising technology business apart, but imposed a six-year package of interoperability, data-sharing and anti-discrimination requirements across key parts of its open-web advertising stack.

This is not another Google Ads interface update. It reaches much further into the machinery that sits between advertisers, ad exchanges and the publishers selling advertising space across the open web.

Google keeps its ad exchange and publisher ad server. What changes is how tightly those products can be connected to each other — and how easily rival technology can compete around them.

16 Sep 2026 The court’s remedies were unsealed after its April 2025 liability decision found that Google had unlawfully monopolised open-web publisher ad-server and ad-exchange markets and unlawfully tied DFP to AdX. The new judgment focuses on changing that conduct rather than forcing a divestiture.

01 Why this matters

This is about the infrastructure behind digital advertising

When most businesses think about Google advertising, they think about search campaigns, Shopping, YouTube or Performance Max. The case is different.

It centres on open-web display advertising: the automated systems publishers use to sell advertising space and advertisers use to bid for it, often in the fraction of a second between somebody opening a webpage and the page finishing loading.

Google operates technology at several points in that process. Its publisher ad server, historically known as DoubleClick for Publishers or DFP, helps publishers manage and sell inventory. Its AdX exchange connects advertising demand with that inventory. Google also supplies advertiser demand through its advertising products.

In April 2025, the court found that Google had unlawfully monopolised the publisher ad-server and ad-exchange markets for open-web display advertising and that the tie between DFP and AdX had harmed competition.

Buy side Advertiser demand

Brands and agencies use buying tools to bid for audiences and advertising opportunities.

Marketplace Ad exchange

Real-time auctions match advertiser demand with available publisher inventory.

Sell side Publisher ad server

The publisher decides which advertising opportunity wins and which advert is ultimately served.

The competition issue was not simply that Google participated in this chain. The court found that Google’s control of multiple layers, combined with the way DFP and AdX were tied together, restricted competition from rival ad-tech products.

That distinction is important for advertisers. The ruling is not a ban on Google advertising, and it does not mean businesses running PPC campaigns suddenly need to rebuild them.

What it does challenge is the structure underneath parts of programmatic display advertising — specifically whether publishers can access important Google demand while using competing technology elsewhere in their stack.

The ruling does not break up Google’s ad-tech business. It tries to create competition by forcing the existing stack to become more interoperable.

02 What the court ordered

Google now has to open connections that were previously far more restricted

The remedies focus on behaviour and technical access rather than ownership.

Google is not being forced to sell AdX or DFP. Instead, it must create and support integrations that allow rival publisher technology to compete more effectively for the same advertising opportunities.

One of the biggest changes involves Prebid, the open-source technology widely used by publishers for header bidding. The court has ordered Google to support integrations between AdX and Prebid, and between DFP and Prebid. AdX must also be able to submit real-time bids into competing publisher ad servers.

Previously

Google advertiser demand Highly valuable demand flowing through Google’s ecosystem.

Tighter link through Google’s own exchange and publisher technology

AdX + DFP The court found the tie between the two products had anticompetitive effects.

Rival publisher technology Could face disadvantages when trying to access the same demand on equivalent terms.

Publishers could have a commercial incentive to remain inside more of Google’s stack in order to retain effective access to Google demand.

Court-ordered direction

Google advertiser demand Still commercially important, but subject to non-discrimination requirements.

Required interoperability + non-discriminatory access

AdX + DFP Remain owned by Google, but must support specified integrations with rival systems.

Prebid + competing ad servers Gain routes to participate more directly without publishers having to use Google’s complete stack.

The objective is to make the choice of publisher technology less dependent on whether that publisher also wants access to Google’s advertising demand.

The court also ordered Google to make publisher data more portable. Publishers must be able to access and export their own data from DFP and AdX, reducing one of the practical barriers involved in changing technology providers.

Google’s advertiser network must also bid on a non-discriminatory basis rather than receiving preferential treatment because Google owns other parts of the transaction. The Department of Justice’s summary uses the historic name AdWords when describing this advertiser demand; marketers will know the current platform as Google Ads.

Compliance will be overseen by a monitor and technical committee for six years.

03 What changes — and what does not

The judgment is significant, but it is not a breakup of Google

Much of the discussion around the case had focused on whether Google might be forced to divest part of its ad-tech operation. That did not happen.

The court concluded that behavioural remedies could be used instead. That means the impact will depend heavily on implementation: the quality of the integrations, the way auction data is shared, how non-discrimination is monitored and whether publishers find it commercially realistic to switch or diversify their technology.

Ownership No forced sale

Google keeps AdX and DFP / Google Ad Manager rather than divesting them.

Access More interoperability

Google must support integrations with Prebid and competing publisher ad servers.

Data Greater portability

Publishers must be able to access and export their data from key Google ad-tech products.

Oversight Six-year regime

A monitor and technical committee will oversee compliance with the final judgment.

Google has consistently argued that forcing structural separation would disrupt publishers and advertisers and that its products compete in a market with many alternatives. It has also said it disagrees with the court’s underlying liability ruling and intends to appeal.

The Department of Justice takes the opposite view: that interoperability, data access and restrictions on self-preferencing are required to restore competition after the conduct identified by the court.

Those positions matter because this is not simply a technical disagreement. It is a debate about how much control one company should be able to exercise when it operates technology for buyers, sellers and the marketplace connecting them.

04 Who feels it first

Publishers and independent ad-tech platforms are closest to the immediate impact

The most direct beneficiaries — if the remedies work as intended — are likely to be publishers and independent ad-tech providers.

Publishers could gain more freedom to choose how they manage advertising inventory without giving up effective access to important Google demand. Rival ad servers, exchanges and header-bidding technologies could gain a better opportunity to compete on the quality of their technology rather than on whether they are connected to Google’s wider ecosystem.

For agencies and advertisers, the effect is less immediate. Most businesses will not see a dramatic change inside their Google advertising account simply because the judgment has been published.

Direct impact

Publishers

More choice around ad-serving technology, better access to their own data and potentially less dependence on one integrated stack.

Direct impact

Independent ad tech

Greater opportunity for exchanges, publisher ad servers and Prebid-based technology to compete for inventory and demand.

Indirect impact

Advertisers

Potential longer-term changes to auction competition, inventory access, transparency and pricing — but no guaranteed immediate reduction in media costs.

More competition in the infrastructure could influence advertiser outcomes, but the ruling itself does not guarantee cheaper advertising, better performance or lower platform fees.

That last point is important. Greater competition can create pressure for better products, clearer reporting and more efficient pricing, but it would be premature to claim that advertiser costs will automatically fall.

Programmatic advertising remains a complex market. Auction mechanics, publisher supply, audience data, platform fees, inventory quality and buyer demand all influence what advertisers ultimately pay and what publishers ultimately receive.

05 Why marketers should still care

The bigger issue is how much of digital advertising happens inside black boxes

Even businesses that never buy open-web display advertising directly should pay attention to the principles behind the case.

Modern advertising has become increasingly automated. Campaign types such as Performance Max deliberately make more decisions on behalf of advertisers: audience selection, bidding, placements and creative combinations are increasingly handled by machine-learning systems rather than manually controlled line by line.

That automation can be extremely useful. It also makes transparency, independent data analysis and commercial measurement more important, because the platform optimising a campaign is often also the platform reporting whether that optimisation worked.

The ad-tech judgment addresses a different part of the market, but it reflects the same broader industry tension: how much control and visibility should sit with the platform, and how much should remain with its customers and competitors?

As advertising becomes more automated, access to data and independent measurement becomes more valuable — not less.

For advertisers, that makes it increasingly important to compare platform reporting with real commercial outcomes: qualified enquiries, orders, customer value, margin, geography and repeat business.

It is also why changes to the underlying advertising ecosystem matter even when they are invisible in the campaign interface. The rules governing access to inventory, demand and auction data shape the market in which those campaigns ultimately operate.

06 What happens next

The implementation will matter more than the headline

The remedies are now public, but that does not mean the market changes overnight.

Google will need to build and support the required technical integrations. Publishers and independent platforms will need to test whether those connections work at commercial scale. The monitor and technical committee will need to assess whether Google is complying with the judgment in practice, not simply on paper.

There is also the appeals process. Google has said it disagrees with the court’s liability ruling, so the legal story is not necessarily finished.

And the market itself is moving. Retail media networks, connected TV, commerce media and AI-led advertising products are all changing where digital budgets are spent. By the time the six-year remedy period ends, the advertising ecosystem may look substantially different again.

That does not make the ruling irrelevant. It makes the underlying principle more important: competition increasingly depends on whether large platforms allow data, demand and technology to move between systems rather than remaining locked inside vertically integrated ecosystems.

The wider industry shift

Google keeps the stack. The court is trying to change the rules around how that stack connects to the rest of the market.

The next test is not whether the ruling sounds significant. It is whether publishers can genuinely use alternative technology, whether rivals can compete on more equal terms and whether that competition eventually produces a healthier advertising market for publishers and advertisers alike.

Primary sources and further reading

The key facts in this article are based on the court record and the published positions of the parties. For readers who want to go deeper, the principal source material is available below.

DOJ: September 2026 remedies summary ↗ DOJ: Google ad-tech case documents ↗ DOJ: April 2025 liability decision ↗ Google: its position on remedies ↗

Over more than a decade of working with businesses on websites, digital marketing, ecommerce and analytics, one thing has become increasingly clear to us.

Most businesses do not have a shortage of data.

They have Google Analytics, Search Console, advertising platforms, ecommerce reports, CRM systems, SEO tools, spreadsheets, monthly dashboards and increasingly sophisticated technology telling them what is happening across their digital operation.

What they don’t always have is a clear answer to a much more important question.

What should we do next?

We didn’t build Growth Intelligence because businesses needed another dashboard. We built it because having more information doesn’t automatically make the next decision any clearer.

That problem has shaped a lot of the thinking behind Growth Strategy at Dancing Badger.

A client might know that organic traffic has fallen, paid search is becoming more expensive or conversion rates could be better.

They may also have opportunities in email, content, ecommerce, social advertising, website improvements and new markets.

All of those things can be true at the same time.

But budgets, internal resources and management attention are finite.

So the challenge isn’t simply identifying more things that could be done.

It’s deciding which things are most worth doing.

A long list of recommendations isn’t a growth strategy. The difficult part is deciding what deserves to happen first.

Reporting was only answering half the question

Digital reporting has become remarkably good at explaining what has already happened.

We can see which search terms generated clicks, which adverts produced conversions, which landing pages people visited, which products sold and where customers dropped out of a journey.

Through data analysis and our own DB Analytics platform, we have invested heavily in making that information easier for clients to understand.

But understanding yesterday doesn’t automatically tell you how to invest tomorrow.

A report can tell you that PPC produced 60 enquiries.

It doesn’t necessarily tell you whether increasing the budget is a better decision than improving the landing page, investing in SEO, fixing an ecommerce problem or developing a stronger retention programme.

That requires another layer.

Interpretation.

Commercial context.

Prioritisation.

And ultimately, a decision.

Stage 01 Data

Bring together the signals already available across marketing, website, customer and commercial activity.

Stage 02 Insight

Understand what the numbers are actually saying about performance, behaviour and opportunity.

Stage 03 Priority

Compare opportunities and identify where time, budget and attention could have the greatest impact.

Stage 04 Action

Turn priorities into a practical roadmap across the appropriate channels and disciplines.

Stage 05 Measure

Compare the outcome with the original objective, learn from the result and inform the next decision.

The problem was never a lack of marketing opportunities

One of the things we see regularly is that growing businesses have far more potential marketing activity than they could realistically undertake.

Should they invest more in SEO?

Increase paid search?

Launch more paid social campaigns?

Improve the website?

Work on conversion rate optimisation?

Develop better email journeys?

Expand the ecommerce proposition?

Introduce new technology or AI?

There is rarely a shortage of sensible ideas.

The problem is that every idea competes with every other idea for the same money, people and time.

That is why we started thinking less about simply generating recommendations and more about creating a consistent way to compare them.

Search & demand What people are searching for, where visibility exists and where unmet demand may be available.

Paid media Where spend is generating demand efficiently and where acquisition costs or audience quality are changing.

Website behaviour How people move through the site, where friction occurs and which journeys lead to meaningful action.

Customer data Which customers buy, return, enquire, spend more or create the greatest long-term value.

Commercial context Margin, capacity, seasonality, product priorities, markets and the realities behind the marketing numbers.

Strategic direction What the business is actually trying to achieve and which opportunities matter most over the coming months.

This broader view matters because channels can look successful when considered individually while still creating the wrong overall outcome.

A Google campaign can generate a high volume of conversions, but those conversions still need to become valuable customers.

A new WordPress or WooCommerce platform can create a much stronger digital foundation, but only if the business knows what that foundation needs to achieve.

An ecommerce business built around Shopify might have strong acquisition but an opportunity to improve repeat purchase or average order value.

A successful Meta campaign might reveal an audience or message that should influence other parts of the customer journey.

The technologies matter.

But understanding how they fit together matters more.

Prioritisation became the missing piece

This was the point where the idea for Growth Intelligence really started to take shape.

We wanted a clearer way to distinguish between something that is simply a good idea and something that deserves genuine priority.

Because those are not the same thing.

A technically valid SEO opportunity may have limited commercial value.

A website improvement might deliver a relatively small percentage increase in conversion but affect every marketing channel sending traffic to the site.

A paid media opportunity may be capable of delivering results almost immediately, while a larger organic opportunity could require a much longer investment horizon.

None of those makes one channel inherently better than another.

They simply need to be assessed in context.

Opportunity

Could this create meaningful growth?

Size of the potential audience
Commercial value of the outcome
Impact across the wider customer journey
Fit with current business priorities

Priority

Is this where we should act next?

The strongest recommendation sits where commercial opportunity, available evidence and practical delivery come together.

What happens if we do it now?
What happens if we delay it?
What else competes for the same investment?
What dependency needs solving first?

Practicality

Can the business realistically deliver it?

Budget and available resources
Internal capacity
Technical dependencies
Expected time to impact

This is also why Growth Intelligence isn’t intended to produce a giant checklist of everything that could theoretically be improved.

Most businesses already have enough lists.

What is more useful is a shorter number of clearly prioritised actions, accompanied by an explanation of why they matter and how they fit into the wider plan.

The goal isn’t to identify everything a business could do. It’s to make the next decision easier to defend.

We wanted strategy to become something practical

Strategy can easily become abstract.

A report identifies an opportunity. A presentation describes the direction. Everyone agrees with it.

Then Monday morning arrives.

What actually happens?

One of the principles behind Growth Intelligence is that strategic thinking should eventually become a clear sequence of work.

Some improvements should happen immediately.

Others need to be tested.

Some require technical development.

And some opportunities may be commercially attractive but only make sense after something else has been fixed first.

Now · 0–90 days

Remove friction

Address obvious blockers, improve measurement and act on opportunities capable of influencing performance quickly.

Tracking and attribution fixes
Paid media optimisation
Landing page improvements
Conversion issues

Next · 3–6 months

Build momentum

Develop the assets, journeys and channel improvements needed to create a stronger growth engine.

New landing pages
Email and retention journeys
Content development
Ecommerce improvements

Longer term · 6–12+ months

Compound advantage

Invest in areas where value builds over time and supports the wider direction of the business.

Organic search authority
AI and GEO visibility
Platform development
New markets and propositions

The result is intended to be more than a strategy document that gets presented once and then disappears into a folder.

It becomes a roadmap that can be revisited as performance changes, new information becomes available and the priorities of the business evolve.

Forecasting should improve the conversation, not pretend to predict the future

There was another recurring problem we wanted Growth Intelligence to address.

Marketing recommendations often arrive without enough commercial context.

“Increase PPC spend.”

“Invest in SEO.”

“Improve conversion.”

All reasonable statements.

But a business making an investment decision needs to ask what sits behind them.

What are we assuming?

How much investment is involved?

What would need to change for that investment to make sense?

And how will we know afterwards whether the original assumption was right?

Forecasting cannot remove uncertainty.

Nor should it be presented as a guarantee of what will happen.

But making assumptions explicit creates a much better basis for a commercial decision than leaving them hidden.

01 Define

Agree the commercial objective and what improvement would actually matter.

02 Forecast

Set out the assumptions behind the proposed investment and expected change.

03 Act

Implement the agreed activity with a clear understanding of what it is intended to influence.

04 Learn

Compare forecast with reality, understand the difference and improve the next decision.

Growth Intelligence is also changing how we work as an agency

The development of Growth Intelligence reflects a broader change in the role Dancing Badger increasingly plays with clients.

We still design and develop websites.

We still run SEO, PPC, paid social, email and digital campaigns.

We still build ecommerce stores, integrate platforms and analyse performance.

Those specialist capabilities remain fundamental.

What is changing is the conversation that happens before them.

Rather than starting with:

“Which service do you need?”

We increasingly want to start with:

“What are you trying to achieve, and what is most likely to get you there?”

Sometimes the answer will be a new website.

Sometimes it will be paid media.

Sometimes it will be organic visibility, improved conversion, better customer retention or stronger data.

Sometimes the recommendation may involve several of those things working together.

And occasionally, the evidence may tell us that the right thing to do is not to invest in something new at all.

Growth Intelligence gives us a framework for making that conversation more structured and more transparent.

Start with the business

Marketing performance only makes sense when it is viewed alongside commercial goals, customers, margins, capacity and business direction.

Connect the channels

SEO, paid media, websites, ecommerce, email and customer data should inform one another rather than being managed as isolated disciplines.

Prioritise relentlessly

The output should not be the longest possible list of recommendations. It should make the most important actions easier to identify.

Keep learning

Every action creates new information. Strategy should change when the evidence changes rather than remaining fixed because it appeared in the original plan.

Built from the way our clients actually make decisions

Growth Intelligence hasn’t come from sitting in a room and imagining what a marketing strategy platform ought to look like.

It has grown out of the conversations we have with businesses every week.

Businesses trying to decide whether the next £10,000 belongs in advertising, development or organic growth.

Ecommerce teams trying to understand why traffic is increasing faster than revenue.

Marketing managers with reports from six different systems but no single view of what should take priority.

Management teams who need to understand the commercial case behind a marketing recommendation before approving investment.

And businesses that have reached a point where doing more activity is no longer enough.

They need to make better choices about the activity they already have.

Connected technology

Growth Intelligence sits above the platforms, not in place of them.

Our technology partnerships give clients access to specialist platforms across websites, ecommerce, advertising, data and customer engagement. Growth Intelligence is intended to help us interpret those different signals together and decide where they fit within the wider growth plan.

Google Meta Automattic Shopify Klaviyo Microsoft Clerk

What we’re building towards

Growth Intelligence is still evolving.

And we expect it to continue evolving as we use it across more businesses, more sectors and more complicated growth challenges.

The ambition, however, is straightforward.

We want to make it easier to move from information to insight.

From insight to priority.

From priority to a practical plan.

And from that plan to measurable outcomes that improve the next decision.

In other words, Growth Intelligence isn’t about creating more marketing activity.

It’s about creating greater confidence in why that activity deserves to happen.

Why we built Growth Intelligence

If businesses already have all this data, deciding what to do next shouldn’t still be the hardest part.

Growth Intelligence is our attempt to close that gap — combining data, commercial context and human expertise to help turn complex digital opportunities into clearer priorities.

It also represents where Dancing Badger is heading as an agency.

Not away from delivery, but towards a stronger strategic layer around it.

Because a technically brilliant website, well-managed advertising campaign or ambitious SEO programme is only valuable if it is solving the right problem.

Our role is increasingly to help establish what that problem is, where the opportunity sits and which combination of expertise is most capable of changing the outcome.

That’s the thinking behind our Growth Strategy work.

And it’s why we’re building Growth Intelligence.

Looking for a clearer view of where your next growth opportunity sits?

Our Growth Strategy work looks across your business, marketing, customer journey and performance data to identify priorities before deciding where time and investment should go next.

Growth Strategy Data Analysis DB Analytics SEO PPC CRO Website Design Ecommerce

Digital marketing growth rarely comes from simply adding more activity. Most businesses already have more channels, platforms and tactics available to them than they could realistically use.

They can invest in SEO, Google Ads, paid social, email marketing, content, social media, ecommerce, website improvements and a growing number of AI and automation tools.

The natural response when growth slows is often to add something else.

Another campaign. Another channel. Another platform. Another budget line.

But more activity does not automatically create more growth.

The problem is often not how much marketing a business is doing. It is whether the different parts are working together towards the same commercial outcome.

This is one of the patterns we have seen repeatedly while working across websites, search, paid media, ecommerce, email and analytics.

A business can have a strong SEO programme, well-managed paid campaigns, regular email activity and an attractive website — yet still struggle to generate the level of enquiries, sales or customer value it expects.

Individually, every channel may appear busy. Some may even appear successful.

The problem begins when each channel is planned, measured and optimised as if the others do not exist.

01 The first problem

More marketing doesn’t automatically create more growth

Digital platforms encourage us to think vertically.

Google Ads reports on Google Ads. Meta reports on Meta. Search tools report on rankings and visibility. Email platforms report on opens, clicks and attributed revenue. Analytics platforms try to bring the journey together, but even they are working with incomplete signals.

This makes it very easy for each discipline to become its own mini business case.

SEO wants more organic visibility. PPC wants a stronger return on ad spend. Social wants more reach or engagement. Email wants more revenue from the database. The website team wants better conversion. Ecommerce wants more sales.

None of those goals is wrong.

But they become much more useful when they sit underneath a shared commercial objective.

Siloed activity

SEO Optimises rankings and organic traffic.

PPC Optimises clicks, leads and reported ROAS.

Social Optimises audiences, reach and campaign response.

Email Optimises campaigns, automation and retention.

Each channel can improve its own dashboard while the customer journey between them remains unchanged.

Connected growth

Search intent Shapes content, ads and landing-page messaging.

Audience data Improves targeting, segmentation and creative.

Shared commercial objective + shared measurement

Website behaviour Shows where customers hesitate or leave.

Customer value Feeds back into acquisition and retention decisions.

The channels still have specialist roles, but decisions are made using information from the wider system.

This is why our approach to Growth Strategy starts above the individual channel.

Before deciding whether the answer is more SEO, more paid media, a new website or a different customer journey, the first question should be what the business is actually trying to change.

More qualified enquiries? More first-time customers? Higher repeat purchase? Better margin? Greater share in a particular market? More revenue from existing traffic?

Once that is clear, each channel can be given a role rather than simply a budget.

Your customer does not know which marketing budget introduced them to your business. They experience one brand, one journey and one decision.

02 The customer view

Your customers don’t experience your marketing in channels

A real customer journey is rarely as simple as “clicked an advert, bought a product”.

Someone might discover a business through an unbranded Google search, visit the website, leave, see a Meta advert a few days later, return directly, read a case study, join an email list and eventually convert after searching for the brand by name.

Which channel created the customer?

The useful answer is often not one channel. It is the combination.

That becomes especially important for businesses with longer consideration periods, higher-value purchases or repeat customer relationships.

Touchpoint 01 Search

An unbranded query introduces the customer to the business.

Touchpoint 02 Website

The visitor explores services, products, proof and expertise.

Touchpoint 03 Paid social

A later campaign keeps the brand visible and reinforces relevance.

Touchpoint 04 Content

A case study, guide or insight answers a question and builds confidence.

Touchpoint 05 Email

Follow-up content or automation moves the relationship forward.

Outcome Conversion

The customer enquires, buys, books or returns to purchase again.

If every channel is optimised only for the conversion it can claim directly, the activity that assists the decision can easily be undervalued.

This does not mean attribution is useless. It means attribution needs context.

It is one reason our Data Analysis work and DB Analytics focus on giving businesses a broader commercial view rather than relying on one advertising platform’s version of success.

It also changes how channels should be managed.

Search terms from PPC can help shape SEO and website copy. High-performing organic content can become paid creative. Ecommerce purchase behaviour can improve audience targeting. Email engagement can reveal which products or messages deserve more attention elsewhere.

The more information moves between disciplines, the less each channel has to learn in isolation.

03 The point of convergence

Your website is where your marketing channels meet

Businesses often try to solve an acquisition problem by buying more acquisition.

More impressions. More clicks. More traffic.

But if the website is unclear, slow, difficult to use or poorly matched to the intent of the visitor, every additional click arrives at the same problem.

That makes the website one of the most important shared assets in a joined-up marketing system.

SEO sends people there. PPC sends people there. Social campaigns send people there. Email sends people back there. Brand activity changes what people expect when they arrive there.

SEO Organic discovery and high-intent search demand.

PPC Paid search, shopping and performance campaigns.

Paid Social Prospecting, awareness, remarketing and demand creation.

Email Retention, automation, nurture and repeat purchase.

Brand & Content Trust, relevance, expertise and reasons to choose.

↓

Website + customer experience

Message match, usability, trust, product or service clarity, landing pages, forms, checkout, speed and conversion.

Sometimes the most effective way to improve a paid campaign is therefore not to change the campaign at all.

It may be to improve the landing page through Conversion Rate Optimisation, strengthen the proposition, reduce friction in a form, simplify a checkout journey or make the information people need easier to find.

For an ecommerce business, that might mean improving product discovery, navigation and merchandising through a better ecommerce experience.

For a service business, it might mean changing the structure and messaging of a website so that traffic arriving from different campaigns has a clearer route to enquiry.

A website improvement can therefore be a marketing improvement even though it does not sit inside an advertising platform.

04 The measurement problem

Marketing platforms only show part of the picture

Advertising and marketing platforms are built to show the value they create.

That is understandable. It is also why businesses can end up with several dashboards apparently claiming credit for the same commercial outcome.

Google may attribute a conversion to paid search. Meta may report that the customer converted after seeing or clicking an advert. An email platform may assign revenue to a campaign. Analytics may record the final session as direct or organic.

None of those views is automatically false. They are simply answering slightly different questions using different attribution rules, tracking methods and available signals.

Platform view

Google

Search and advertising data can show demand, intent, clicks and attributed conversions inside Google’s measurement model.

Platform view

Commercial reality

Orders, qualified leads, margin, repeat customers, territory performance and total revenue show what actually happened to the business.

The strongest decisions come from comparing these views rather than choosing one dashboard and treating it as absolute truth.

This is where joined-up reporting becomes as important as joined-up delivery.

A business needs to understand not only which channel appears to be performing, but how total marketing activity is changing the number and quality of customers it acquires.

That may mean looking at new versus returning visitors, new versus returning customers, assisted journeys, geographic performance, lead quality, lifetime value or revenue by customer group.

Better measurement does not eliminate uncertainty.

It gives the business enough evidence to make the next decision with more confidence.

05 How channels should work together

What connected digital marketing growth looks like

The biggest benefit of integrated digital marketing is not simply consistency.

It is learning speed.

When teams and channels share information, one activity can make another smarter.

Search data reveals what people want. Paid media can test which messages create response quickly. Website analytics shows what people do after the click. Audience and segmentation work identifies important differences between customer groups. Email reveals what keeps people engaged after the first conversion.

Those findings should then feed back into the next round of decisions.

01 Understand demand

Use search, market, customer and competitor signals to identify where real opportunity exists.

02 Attract the right audience

Use SEO, PPC, social, content and targeting according to the role each channel should play.

03 Improve the experience

Make the website, landing page, product journey or enquiry path match the visitor’s intent.

04 Measure outcomes

Track meaningful actions, customer quality, revenue and behaviour rather than stopping at clicks.

05 Segment and retain

Use customer behaviour to create more relevant email, remarketing and retention journeys.

06 Feed the learning back

Use what worked — and what did not — to change budgets, messaging, targeting and priorities.

This is also why a full-service digital marketing approach should not mean automatically using every available service.

It means having enough visibility across the system to identify where the next improvement should happen.

Sometimes that is search visibility. Sometimes it is paid acquisition. Sometimes it is conversion. Sometimes it is retention. Sometimes the most useful step is simply fixing the measurement before changing anything else.

06 The technology layer

The technology behind connected digital marketing

Modern digital marketing depends on a growing technology stack.

Advertising platforms manage targeting and media. Ecommerce platforms handle buying journeys. Email tools manage automation and retention. Analytics and market-intelligence tools help explain what is happening. Consent technology affects what can be measured in the first place.

The value is not in collecting as many platforms as possible.

It is in choosing the right ones and making sure information can move between them.

Search & advertising Google

Search demand, paid acquisition, shopping, analytics and measurement.

Paid social Meta

Audience-led advertising, prospecting, remarketing and social commerce.

Ecommerce Shopify

Storefront, checkout, product data and connected ecommerce journeys.

Retention & automation Klaviyo

Behaviour-led email, segmentation, automation and repeat-purchase journeys.

Consent & measurement Cookiebot

Consent management that supports compliant, more reliable measurement.

Market intelligence Similarweb

Market, competitor and audience signals used to add context to performance data.

Search intelligence SE Ranking

Search visibility, competitor monitoring and SEO performance insight.

Local search BrightLocal

Local visibility, listings and location-level search performance.

The important word here is connected.

A sophisticated technology stack with no shared strategy can create more dashboards without creating better decisions.

A simpler stack, properly integrated around the commercial objective, is often much more valuable.

This is also where third-party integrations can become important: not because integration is technically impressive, but because the right data moving between the right systems can improve customer experience, targeting and reporting at the same time.

07 A practical way to start

Start with the commercial objective, not the marketing channel

A joined-up strategy does not have to begin with a huge transformation project.

In many cases, the first step is simply changing the order of the questions.

Instead of asking, “Should we spend more on Google Ads?” start with, “What commercial result are we trying to improve?”

Instead of asking, “Do we need more traffic?” ask, “Do we have enough of the right traffic, and what happens after it arrives?”

Instead of asking, “Which channel has the best ROAS?” ask, “Which combination of activity is creating the customers we most want?”

How to identify where your marketing is holding growth back

Once the commercial objective is clear, the next job is to identify the part of the journey that is restricting progress. The weakest point may be visibility, targeting, proposition, website experience, conversion, retention or measurement.

This is where a connected view becomes useful: rather than asking every channel to work harder, you can focus attention on the constraint most likely to change the outcome.

A simple connected-growth review

1 Define the commercial outcome Be specific about the change the business needs: enquiries, revenue, new customers, retention, margin, territory growth or another measurable outcome.

2 Map the customer journey Identify how people discover, research, compare, convert and return — including the channels that assist rather than close the sale.

3 Find the biggest constraint Decide whether the limiting factor is demand, targeting, website experience, conversion, retention, measurement or something outside marketing altogether.

4 Give each channel a job Acquisition, demand creation, proof, conversion, retention and measurement are different roles. Not every channel needs to do all of them.

5 Measure the business result Use platform metrics as evidence, but keep customer and commercial outcomes at the centre of the decision.

That approach often leads to a different marketing plan.

The answer might still be to invest more.

But it might be to redirect existing spend, improve a landing page, change the audience, build a better email journey, fix tracking, sharpen the proposition or stop an activity that no longer has a strong commercial case.

Doing more is only valuable when more is the thing the business actually needs.

Sometimes growth comes from doing less, not more

A stronger strategy does not always add another campaign, platform or piece of technology. Sometimes the better decision is to concentrate budget on the activity producing the strongest customers, simplify an overcomplicated journey or stop work that no longer has a convincing commercial case.

Reducing activity can improve focus, make measurement clearer and give the parts that are working enough budget and attention to perform properly.

Build your marketing around growth, not activity

The goal is not to make every marketing channel busier. It is to create a system in which strategy, acquisition, website experience, conversion, retention and measurement all support the same commercial objective.

That is the real distinction between doing more digital marketing and creating sustainable digital marketing growth.

Joined-up digital growth

Growth does not come from the number of channels you use. It comes from how well the right ones work together.

Start with the commercial outcome, understand the customer journey, connect the data and focus investment on the part of the system most capable of changing the result.

At Dancing Badger, that is increasingly how we think about digital growth.

SEO, PPC, social media, email, websites, ecommerce and analytics remain specialist disciplines. Each requires its own expertise.

But the commercial value increases when those specialists can see beyond their own channel.

A search insight should be able to improve a landing page. A customer segment should be able to change an advertising strategy. A conversion problem should influence media spend. A successful campaign should teach the wider business something about what its customers actually value.

That is the difference between a collection of marketing activities and a growth system.

Is your marketing busy, but the commercial result still unclear?

Our Growth Strategy work looks across channels, websites, customer behaviour and performance data to identify where the biggest opportunity — or constraint — actually sits.

Growth Strategy Data Analysis DB Analytics SEO & GEO PPC Paid Social Website Design Ecommerce CRO Email Marketing Audience & Segmentation

Dancing Badger has now supported more than 300 businesses across websites, digital marketing, ecommerce, analytics, design and wider growth strategy.

They have ranged from businesses building their first serious digital presence to established organisations entering new markets, investing substantial budgets in customer acquisition or trying to understand why growth has started to slow.

No two businesses have been exactly the same.

But after enough projects, campaigns, websites and long-term client relationships, patterns start to emerge.

Experience doesn’t give you a formula for growth. It teaches you how to ask better questions.

One of the most useful things we have learned is that the problem a business initially asks us to solve is not always the problem that needs solving.

“We need a new website” might actually mean the existing website isn’t attracting enough of the right visitors.

“We need more Google Ads” might turn out to be a conversion problem rather than a traffic problem.

Falling sales might have very little to do with marketing activity and much more to do with product mix, customer retention, seasonality or what happens after an enquiry reaches the sales team.

That distinction has shaped the way Dancing Badger works today.

We still build websites, manage campaigns, improve search visibility, create brands and develop ecommerce stores.

But before deciding what to do, we increasingly start somewhere else.

We try to understand what is actually getting in the way.

01 Lesson one

The brief is the starting point, not the diagnosis

Clients understandably come to an agency with an idea of what they need.

Sometimes they are absolutely right.

Sometimes the first conversation uncovers something more important.

A business considering a new website might already have a perfectly capable platform but very little meaningful search visibility.

In that situation, investment in SEO and GEO or paid search may create a much greater immediate opportunity.

Alternatively, a business might already have plenty of visitors.

If those visitors aren’t becoming enquiries or customers, buying more traffic simply makes an inefficient customer journey more expensive.

That is where Conversion Rate Optimisation, user experience, messaging and stronger measurement become more important.

The solution depends on where growth is getting stuck.

BE FOUND

Are enough of the right people discovering the business?

SEO & GEO →
PPC →

BE RELEVANT

Does the proposition connect with the people being attracted?

Branding →

BE EASY

Can visitors quickly understand what to do and complete the journey?

Website Design →
Ecommerce →

CONVERT

Are enough of those visitors becoming enquiries or customers?

CRO →

RETAIN & LEARN

Are customers returning, and is performance data influencing the next decision?

Email Marketing →
Data Analysis →

The most valuable activity is usually the one that removes the biggest constraint — not simply the next item on a marketing checklist.

This sounds obvious, but it is remarkably easy for digital activity to begin with the solution rather than the problem.

A particular channel becomes fashionable. A competitor launches a new website. A platform introduces a new advertising format. A new piece of technology promises to transform performance.

None of those things automatically means a business needs it.

One of the reasons Growth Strategy has become a more important part of our work is that it creates space to diagnose before prescribing.

The most useful question is rarely “what marketing should we do?” It’s “what is stopping the business from growing?”

02 Lesson two

More traffic is not the same as more growth

Digital marketing gives us access to a huge number of measurements.

Impressions. Clicks. Sessions. Engagement rates. Rankings. Cost per click. Video views. Followers. Reach.

All of them can be useful.

But they are not the same thing as commercial performance.

One of the recurring lessons from working with different businesses is that it is entirely possible for a marketing report to look healthier while the result that actually matters gets worse.

Traffic can increase while enquiries fall.

Cost per lead can improve while lead quality deteriorates.

Ecommerce conversion can rise while average order value falls.

Advertising platforms can each report successful conversions while the business itself sees little overall growth.

The closer reporting gets to the actual commercial outcome, the more useful it becomes.

Stage 01 Audience

Search visibility, reach, impressions and demand.

Stage 02 Visitors

Sessions, clicks, engagement and website behaviour.

Stage 03 Actions

Enquiries, purchases, calls, bookings and meaningful conversions.

Stage 04 Customers

New customers, returning customers, lead quality and retention.

Stage 05 Commercial value

Revenue, margin, lifetime value and sustainable business growth.

Optimising only the first two stages can make a marketing report look better without necessarily making the business more successful.

That is why we have continued to invest in better measurement and data analysis, alongside our own DB Analytics platform.

The objective isn’t to produce more numbers.

It is to make those numbers more useful.

Better reporting should help answer:

Which channels are actually generating customers? Which visitors are most likely to convert? Which activity is creating profitable growth? Where are potential customers being lost? What should we change next?

03 Lesson three

A channel can look successful in isolation while the business result gets worse

One of the advantages of working across multiple digital disciplines is seeing what happens when information moves between them.

Search data from a PPC campaign can reveal the language customers actually use, helping shape SEO and website content.

Conversion data can reveal that a successful advertising campaign is sending people to the wrong landing page.

Ecommerce data can show that the products attracting the greatest volume of traffic are not necessarily the products creating the greatest customer value.

Customer behaviour can identify groups that should receive different email journeys rather than one generic message.

And website behaviour can reveal that the next improvement should be made to the customer experience before another pound is added to an advertising budget.

The point isn’t that every business needs every service.

It is that decisions become stronger when they are made with visibility of what is happening elsewhere.

Channels should share information, even when they don’t share the same budget.

04 Lesson four

Sometimes the right recommendation is to do less

There is always another digital platform, campaign type, piece of software or marketing opportunity competing for attention.

Agencies can fall into the trap of assuming that growth means adding more.

More campaigns.

More channels.

SCALE

Increase investment when the commercial evidence supports it.

The right audience is being reached
Customers are converting efficiently
Lead or customer quality is strong
The business has capacity to fulfil more demand
Measurement gives confidence in the result

Decision 02

IMPROVE

Keep the opportunity, but fix the part of the journey holding it back.

Traffic is strong but conversion is weak
The channel works but efficiency can improve
The landing page is creating friction
Messaging needs to better match intent
Tracking needs to become clearer

Decision 03

STOP

Pause activity when the commercial case no longer makes sense.

The wrong audience is being attracted
Another channel is producing stronger returns
Activity duplicates something already working
The opportunity is too small to justify the cost
The original business need has changed

Being a full-service agency shouldn’t mean recommending every service.

Quite the opposite.

Having specialists across digital marketing, web, data and design should make it easier to assess a problem objectively and identify the smallest combination of activity capable of delivering the required result.

05 Lesson five

The longer the relationship, the more important the business becomes

Some of our most valuable client conversations no longer start with marketing at all.

They start with the business.

Which products create the best margins?

Which services does the business want to sell more of?

Is there enough capacity to handle additional enquiries?

Which customers are most valuable over time?

Are particular geographic markets more important than others?

What happens after a lead reaches the sales team?

Is the priority new customer acquisition, retention, increased order value or entering a new market?

Without that context, digital marketing risks becoming a collection of activities with no clear commercial hierarchy.

With it, decisions become much easier.

Margin Which products, services and customers create the greatest commercial value?

Capacity Can the business actually fulfil the additional demand marketing is expected to create?

Seasonality When does demand naturally rise and fall, and how should investment respond?

Customer value Is the priority a single transaction or a customer relationship that grows over time?

Sales process What happens after a form submission, phone call, quote request or first purchase?

Business direction Which markets, products or opportunities matter most over the next 12 to 24 months?

This is also why long-term client relationships tend to become broader rather than simply busier.

A relationship may begin with a website, an ecommerce project or a paid advertising campaign.

Over time, the conversation naturally moves towards what should happen next, where the biggest opportunity sits and how different parts of the digital operation can support the wider business.

That is a much more valuable conversation than simply asking what needs adding to next month’s marketing plan.

06 Perhaps the biggest lesson

Experience should create curiosity, not certainty

After working with hundreds of businesses, it would be tempting to believe there is a repeatable formula for digital growth.

There isn’t.

What works brilliantly for one business can be completely wrong for another.

The right advertising budget depends on margins, market size, customer value and competitive pressure.

The right website depends on what customers need to do.

The right search strategy depends on demand, competition, authority and commercial intent.

The right technology depends on the problem it is being asked to solve.

Experience helps because it allows you to recognise patterns faster.

But it should also make you more willing to question assumptions.

That is particularly important now.

Search behaviour is changing. AI is altering how people discover and compare businesses. Advertising platforms are becoming increasingly automated. Ecommerce expectations continue to rise. Measurement is becoming more complex as customer journeys stretch across more platforms and devices.

The specific tools will continue to change.

The fundamental questions are much more consistent.

More than 300 client relationships later

The value of experience isn’t having 300 answers. It’s knowing which questions to ask first.

Understand the business. Understand the customer. Understand the data. Then focus time and investment on the part most capable of changing the outcome.

That is probably the clearest lesson we have taken from more than a decade of working with clients.

Sustainable digital growth rarely comes from simply doing more marketing.

It comes from understanding the real opportunity, identifying what is preventing progress and bringing the right expertise to that problem.

Sometimes that means attracting more people through search or paid advertising.

Sometimes it means creating a better website or ecommerce experience.

Sometimes it means improving conversion, strengthening the brand, developing better customer journeys or making more sense of the data.

And sometimes the most valuable thing we can do is tell a client that they don’t need to do anything new at all.

They just need to make what they already have work harder.

Not sure where your biggest digital growth opportunity sits?

Our Growth Strategy work is designed to look across the business, customer journey, marketing activity and data before deciding where investment should go next.

Growth Strategy Data Analysis SEO & GEO PPC Website Design Ecommerce CRO Email Marketing Branding

Your most useful marketing data is often the data your business already owns

The strongest signals can come from several parts of the business.

Automation can optimise faster — but it still needs to know what good looks like

The platform can optimise the route. Your data helps define the destination.

A conversion is useful. A commercial outcome is more useful.

The closer your data gets to the real outcome, the more useful it can become.

The real opportunity appears when first-party data stops living in silos

The same customer intelligence can support several different marketing jobs.

Google is making first-party data a bigger part of its AI and measurement infrastructure

Three changes that show where first-party data is heading.

The goal is a stronger data foundation — not collecting everything you possibly can

Most businesses do not need more tools. They need a clearer data flow.

The advantage comes from activation, not accumulation.

Start with customer value, then work backwards into the data

When everyone has access to similar automation, your customer intelligence becomes more distinctive

AI can make more marketing decisions. Your first-party data helps make those decisions more relevant to your business.

Related Dancing Badger services, partners and insights.

Key Results

+321%

Increase in Direct Traffic

+78%

Increase in Organic Search Conversions

+53%

Increase in Paid Search Traffic

+58.9%

Increase in Paid Search Conversions

+52%

Improvement in Paid Search Conversion Rate

The Client

The Challenge

Our Role

Data Analysis & Growth Strategy

SEO Strategy

PPC Management

Audience Segmentation & CRO

AI Recommendations & Copywriting

The Approach

Results

Key Outcomes

Strengthening Acquisition Across Organic & Paid Channels

Turning Data Into Commercial Growth

Combining SEO, PPC & CRO for Sustainable Growth

Conclusion

Key Results

+43.9%

Increase in PPC Conversions Year on Year

+47.4%

Increase in PPC Clicks Year on Year

+268%

Improvement in Paid Search Conversion Rate

+150%

Increase in Paid Search Key Events

The Client

The Challenge

Our Role

Data Analysis & Strategic Planning

SEO Strategy

PPC Management & Optimisation

Audience & Segmentation

AI Recommendations & Copywriting

The Approach

Results

Key Outcomes

Improving the Quality of Enquiries

Using Data to Drive Better Decisions

Combining SEO, PPC & Audience Insight

Conclusion

Key Results

+312%

Increase in ROI Year on Year

+544%

Growth in Traffic from Key Anniversary Search Themes

+208%

Growth in Ruby Wedding Anniversary Search Visibility

+530%

Increase in Referral Traffic

The Client

The Challenge

Our Role

Data Analysis & Strategic Planning