How to Build GA4 Content Groups: Analyze Topics, Formats, and Conversion Performance Step by Step

Content marketing becomes difficult to manage when every article is measured as an isolated URL. You may know that traffic is rising, yet still be unable to explain which topics, formats, or content clusters are generating qualified leads and sales. At the same time, keyword cannibalisation can quietly spread your performance across several similar pages, making the reporting look healthier than the underlying strategy really is.

GA4 content groups give you a practical way to organise this data. You can group pages by topic, format, funnel stage, audience, product category, or campaign, then compare performance at a level that supports actual decisions.

This matters because a content programme is rarely judged on page views alone. You need to understand:

• Which topics attract organic users who convert.
• Which formats assist or generate key events.
• Whether commercial pages outperform informational content after adjusting for traffic.
• Which content clusters contain overlapping pages.
• Where users enter, engage, and leave the customer journey.
• Whether a large traffic increase is creating business value or simply inflating sessions.

The process below explains how to build GA4 content groups, implement them correctly, analyse conversion performance, and use the findings to identify keyword cannibalisation. It also shows where an automated content workflow such as SEO Letters, the AI blog writing and publishing engine, can help you create a more controlled content structure before the data reaches GA4.

What Are GA4 Content Groups?

A GA4 content group is a classification that allows you to analyse several pages as one content category. Instead of reviewing individual URLs separately, you can assess a wider set of pages under a shared label such as:

• Topic: Technical SEO
• Format: How-to guide
• Funnel stage: Bottom of funnel
• Business area: E-commerce
• Product category: SEO software
• Audience: Agency owners
• Content status: Evergreen
• Campaign type: Content refresh

GA4 uses the content_group parameter to store this classification. Once the parameter is sent with a page view or event, you can use the resulting content group dimension in reports, explorations, and connected tools.

The main benefit is aggregation with context. A single article may have volatile results due to seasonality or a small sample size. A group of 20 related pages can reveal a more dependable pattern.

GA4 content groups compared with Universal Analytics

Universal Analytics included a dedicated Content Grouping feature inside the property settings. GA4 takes a more flexible event-based approach. You typically send a content_group parameter with the page_view event, then use the resulting dimension in analysis.

Measurement requirement	GA4 approach
Group pages by topic	Send a topic value as content_group
Compare article formats	Use a custom content format parameter or separate content group
Track funnel stage	Send a funnel stage classification
Analyse conversions	Compare key events by content group
Review groups against landing pages	Use landing page plus query string and content group
Detect overlapping SEO pages	Compare search queries, landing pages, and topic groups

GA4 does not automatically understand whether a page is a guide, comparison, glossary entry, product page, or case study. You need to define the classification and implement it consistently. That is where many content teams lose control of the whole thing.

Why Content Groups Matter for Keyword Cannibalisation

Keyword cannibalisation happens when multiple pages on the same site target closely related search intent, causing them to compete for visibility or split relevance signals. It does not always create a direct penalty. The more common issue is that Google receives unclear signals about which page should rank.

GA4 cannot prove cannibalisation on its own because GA4 does not contain complete Google Search Console query and ranking data. It can, though, show what happens after users land on competing pages.

Suppose three articles sit in the same GA4 reporting topic group:

Page	Primary intent	Organic sessions	Key event rate
/ga4-content-reporting/	Informational	4,800	1.9%
/ga4-content-groups/	Implementation	3,900	4.8%
/ga4-content-performance/	Measurement	2,700	2.1%

The second page might be the strongest commercial asset, but if all three pages rank for similar phrases, the site could be distributing impressions across them. If the pages also have similar titles, overlapping headings, and near-identical internal links, the problem becomes more plausible.

Use GA4 content groups to identify:

• Topic groups with unusually high traffic but weak conversion rates.
• Multiple pages receiving similar landing-page traffic.
• Formats that attract users but fail to move them forward.
• Content clusters where engagement differs sharply between URLs.
• Pages that attract organic users but contribute few assisted conversions.
• Groups where traffic increases while key event volume stays flat.

Key takeaway

GA4 content groups provide behavioural evidence around possible cannibalisation. Combine them with Google Search Console, rank tracking, crawl data, and page-level content analysis before consolidating or redirecting URLs.

Plan Your GA4 Content Group Taxonomy First

Do not begin by adding random labels to pages. Start with a taxonomy that matches the questions your marketing team needs to answer.

A useful taxonomy usually has two layers:

1. Primary content group: the main topic or business category.
2. Supporting dimensions: format, funnel stage, audience, and commercial intent.

For example:

Page	Primary topic	Format	Funnel stage	Intent
How to audit internal links	Technical SEO	How-to guide	Top of funnel	Informational
Best internal linking tools	Technical SEO	Comparison	Middle of funnel	Commercial investigation
Internal linking software	Technical SEO	Product page	Bottom of funnel	Transactional
Internal linking case study	Technical SEO	Case study	Middle of funnel	Proof-focused

This structure helps you distinguish several questions that would otherwise blur together:

• Is the topic performing?
• Is the format performing?
• Is the funnel stage attracting qualified users?
• Is the page designed to answer the search intent?
• Are several pages competing for the same query set?

Choose a primary grouping method

You can build content groups around different business needs.

Topic-based groups

Topic groups are usually the most useful starting point for SEO teams. Examples include:

• Keyword research
• Technical SEO
• Link building
• GA4 analytics
• Content strategy
• E-commerce SEO
• Local SEO

Use topic groups when you want to measure topical authority, content clusters, or organic visibility by subject.

Format-based groups

Format groups help you compare the performance of editorial approaches:

• Long-form guide
• Checklist
• Template
• Case study
• Comparison
• Product review
• Glossary page
• Landing page

This can reveal that, for instance, comparison pages generate fewer sessions but significantly more demo requests.

Funnel-stage groups

Funnel groups classify content according to its role in the buying process:

• Awareness
• Problem-aware
• Solution-aware
• Commercial investigation
• Decision
• Retention

This is useful when a content programme is being judged on pipeline contribution rather than traffic volume alone.

Campaign-based groups

Campaign groups are suitable for scheduled publishing and content refresh work. You may track:

• New editorial campaign
• Product launch campaign
• Seasonal campaign
• Content refresh campaign
• Competitor-gap campaign

If you are producing content on a regular schedule, SEO Letters can support this workflow by researching keywords, mapping topic clusters, drafting structured articles, and publishing them to WordPress, Shopify, or a webhook destination.

Build a Content Group Naming Convention

A naming convention prevents reporting chaos later. Keep values consistent, readable, and stable over time.

A practical format might look like this:

topic:ga4
format:how-to
stage:commercial
audience:seo-manager

However, GA4 reports are easier to scan when the primary content group contains a simple value such as GA4. Store other classifications in additional parameters or custom dimensions.

Recommended rules:

• Use one spelling for each category.
• Avoid unnecessary capitalisation differences.
• Do not change historical labels without documenting the change.
• Keep topic names broad enough to contain several pages.
• Avoid creating a new group for every narrow keyword.
• Keep retired groups in a mapping document.
• Record the owner and definition of every category.

A content governance sheet should include:

Field	Example
Group name	GA4
Definition	Pages primarily about Google Analytics 4 implementation or reporting
Inclusion rule	Main topic relates to GA4 measurement
Exclusion rule	General analytics pages without GA4-specific intent
Owner	Content and analytics team
Review frequency	Quarterly
Related groups	Content marketing, conversion tracking

This might feel bureaucratic at first. It saves time when three teams are adding content classifications in different ways.

Step-by-Step: Implement GA4 Content Groups

Step 1: Audit your existing page inventory

Export your pages and create a working dataset that includes:

• URL
• Page title
• H1
• Organic sessions
• Users
• Key events
• Revenue, where applicable
• Average engagement time
• Search clicks
• Impressions
• Average position
• Primary keyword
• Assigned topic
• Assigned format
• Funnel stage

You can obtain behavioural data from GA4, query data from Search Console, and technical information from your crawler. The important point is to review the pages together rather than in separate dashboards.

Step 2: Map pages to clear groups

Assign every important URL to one primary topic. Do not assign a page to several primary topics simply because it mentions related concepts.

For example, an article titled “How to Build GA4 Content Groups” might mention keyword cannibalisation, content clusters, and conversion tracking. Its primary topic remains GA4. The other terms can be recorded as secondary themes.

A useful decision rule is:

Assign the group according to the page’s main search intent, core heading structure, and conversion purpose.

If you cannot assign a page confidently, the page may have an unclear brief. That is a content quality signal in its own right.

Step 3: Decide how the value will be sent

There are three common implementation routes:

• Google Tag Manager.
• Direct gtag.js implementation.
• A CMS or server-side template that outputs the value.

For most marketing teams, Google Tag Manager offers a manageable balance between flexibility and governance. Developers may prefer a data layer value generated by the CMS.

Step 4: Send the content_group parameter

A basic gtag.js implementation can look like this:

<script>
gtag('config', 'G-XXXXXXXXXX', {
  'content_group': 'GA4'
});
</script>

For pages where the group changes dynamically, your CMS can populate the value:

<script>
gtag('config', 'G-XXXXXXXXXX', {
  'content_group': '{{ content_topic }}'
});
</script>

The exact syntax depends on your analytics setup and consent configuration. Do not copy a tracking snippet into production without testing it in your own environment.

With Google Tag Manager, you can create:

1. A data layer variable such as content_group.
2. A GA4 configuration or Google tag field.
3. A value populated from the page template.
4. A trigger that fires on the relevant page views.
5. A preview test before publishing.

Step 5: Add supporting content dimensions

If you want to compare topic, format, and funnel stage separately, do not force all of them into one long content group value. Send separate parameters instead:

gtag('event', 'page_view', {
  content_group: 'GA4',
  content_format: 'How-to guide',
  funnel_stage: 'Commercial investigation',
  content_intent: 'Informational'
});

Register any non-standard parameters as custom dimensions in GA4 so they become available in reporting. You should keep the number of dimensions controlled because uncontrolled tagging produces inconsistent data and makes analysis harder.

Step 6: Validate in DebugView

Open GA4 DebugView and confirm that:

• The page view is arriving.
• The content_group value is present.
• The value matches your taxonomy.
• The parameter is not blank.
• Internal testing traffic is excluded from business reporting.
• The correct value appears on different templates.

Test at least one page from each major category. A single successful test on the homepage proves very little.

Step 7: Publish and document the change

Record:

• Implementation date.
• Technical owner.
• Taxonomy version.
• Included page templates.
• Known exclusions.
• Validation screenshots.
• Expected reporting delay.

GA4 data is not retroactive. New content group values will generally apply to data collected after implementation, so retain your historical page mapping separately if you need year-on-year comparisons.

Create GA4 Explorations for Topic and Format Analysis

The standard reports are useful for monitoring, but Explorations give you more control. Start with a free-form exploration containing:

• Content group.
• Landing page plus query string.
• Sessions.
• Engaged sessions.
• Average engagement time.
• Key events.
• Session key event rate.
• User key event rate.
• Revenue.
• Organic users, if available through your selected dimensions.

A basic content group report might look like this:

Content group	Sessions	Engaged sessions	Key events	Session key event rate	Revenue
GA4	18,400	13,900	622	3.38%	£21,700
Technical SEO	26,200	18,100	488	1.86%	£15,400
Link building	14,900	10,300	711	4.77%	£32,600
Content strategy	21,600	15,100	390	1.81%	£9,200

Traffic alone would make Technical SEO appear strongest. Key event rate and revenue suggest a different prioritisation.

Use landing pages within each group

Add the landing page dimension beneath the content group. This lets you identify whether one page is carrying the group or whether results are distributed across a healthy cluster.

Look for:

• One page receiving most organic sessions.
• Several pages with similar query intent.
• Pages with strong engagement but weak next-step activity.
• Pages with high traffic and low conversion value.
• Pages that rank but do not satisfy visitors.

A group with 20 pages and 80% of traffic coming from one URL is not necessarily a strong topical cluster. It may be a single successful page surrounded by weak or overlapping content.

Measure Conversion Performance Properly

GA4 key events are the centre of performance analysis. Decide which actions matter before judging any content group.

Potential key events include:

• generate_lead
• form_submit
• demo_request
• sign_up
• purchase
• add_to_cart
• newsletter_signup
• contact_request
• affiliate_click

Avoid treating every interaction as equal. A scroll event and a sales-qualified demo request belong in different measurement categories.

Use a conversion hierarchy

A practical hierarchy might include:

Conversion level	Example	Reporting purpose
Primary key event	Purchase or qualified lead	Revenue and pipeline
Secondary key event	Demo request or account creation	Intent measurement
Micro-conversion	Download, email sign-up, tool use	Engagement progression
Diagnostic event	Scroll, video play, outbound click	Behaviour analysis

This helps you avoid a familiar reporting trap. A content group may generate thousands of newsletter sign-ups while contributing very little revenue, whereas a smaller group may produce fewer events with much higher commercial value.

Calculate useful content group metrics

Use these formulas when analysing groups:

Session key event rate

Key events ÷ sessions × 100

Revenue per session

Attributed revenue ÷ sessions

Lead rate

Qualified leads ÷ organic sessions × 100

Content efficiency

Conversion value ÷ content production cost

Assisted conversion ratio

Assisted conversions ÷ total conversions

GA4 attribution models can change how credit is distributed, so do not treat one attribution view as absolute truth. Compare first user, session, and data-driven perspectives where the available data supports it.

Analyse Topics, Formats, and Funnel Stages Together

The strongest insight often appears when you cross two or three dimensions.

For example:

Topic	Format	Sessions	Session key event rate
GA4	How-to guide	8,900	2.1%
GA4	Comparison	3,100	5.8%
GA4	Template	2,400	4.4%
Link building	How-to guide	9,700	3.6%
Link building	Case study	1,800	8.2%

This suggests that GA4 comparison and template content may be more commercially efficient than broad instructional guides. It does not mean you should stop publishing guides. Guides may be feeding the earlier stages of the journey.

A better decision might be:

1. Keep high-performing guides that attract qualified organic traffic.
2. Improve internal links from those guides to comparison and product pages.
3. Refresh weak guides where search intent has shifted.
4. Consolidate pages that overlap without adding distinct value.
5. Build more conversion-oriented formats around proven topics.

This is where an organised content engine becomes useful. SEO Letters can map keyword clusters and content gaps, then generate structured articles with headings, internal links, schema, and product-aware sections. The aim is not to publish more pages blindly. It is to build a repeatable system that respects the role of each URL.

Use GA4 to Investigate Keyword Cannibalisation

A possible cannibalisation pattern usually contains several signals rather than one dramatic metric.

Signal 1: Similar landing-page performance

Filter organic traffic by a topic group, then compare pages with related titles and URLs. If several pages attract similar traffic volumes from closely related searches, investigate whether they answer separate intents.

Signal 2: Unstable organic entry pages

Use Search Console or a rank tracker to review which URL ranks for the same query across different dates. If the ranking URL changes frequently, Google may be uncertain about the preferred page.

GA4 can then show whether those competing URLs have different engagement and conversion outcomes.

Signal 3: High impressions with distributed clicks

A topic group may receive strong impressions while no single page gains a clear share of clicks. This may imply:

• Intent overlap.
• Weak title differentiation.
• Thin topical coverage.
• Poor internal linking.
• Several pages competing for the same SERP position.

Signal 4: Similar pages with conflicting conversion roles

Two pages can target related terms but have different business purposes. That is not automatically a problem. It becomes risky when the pages have the same intent and the same call to action, yet neither establishes clear priority.

Signal 5: Traffic without progression

If a group attracts organic users but produces low engagement and few key events, inspect the search intent match. Cannibalisation sometimes creates traffic fragmentation, but poor conversion performance can also point to weak content quality or an unsuitable offer.

A practical cannibalisation scoring model

Score each page pair from 0 to 2 across these criteria:

Criterion	0	1	2
Keyword overlap	Minimal	Moderate	High
Search intent overlap	Different	Partly similar	Almost identical
SERP competition	Separate	Occasional overlap	Same queries
Content similarity	Low	Moderate	High
Conversion role	Different	Related	Identical
Organic URL volatility	Stable	Some changes	Frequent changes

Interpretation:

• 0 to 3: Low concern.
• 4 to 7: Review positioning and internal links.
• 8 to 12: Strong candidate for consolidation, restructuring, or clearer differentiation.

This is a prioritisation model, not a Google rule. Use it to decide which pages deserve a deeper audit.

Decide Whether to Consolidate or Differentiate Pages

Do not merge pages simply because they share a keyword. Ask what each page is supposed to do.

Differentiate pages when:

• They target clearly different search intents.
• One is informational and another is transactional.
• They serve different audiences.
• They address different stages of the buying process.
• Each page has distinct conversion behaviour.
• Search Console shows separate query patterns.

Consolidate pages when:

• Both pages answer the same question.
• One page has substantially stronger links and engagement.
• The weaker page has little unique traffic or conversion value.
• The pages contain repeated sections and similar titles.
• Internal links point inconsistently to both URLs.
• Search visibility is split without a clear business benefit.

A consolidation workflow should include:

1. Select the primary URL using relevance, links, traffic quality, and conversion data.
2. Combine unique, useful sections from the secondary page.
3. Rewrite the destination so it satisfies the complete intent.
4. Add a relevant 301 redirect.
5. Update internal links, canonical tags, XML sitemaps, and structured data.
6. Annotate the change in your reporting.
7. Monitor rankings, organic landing sessions, key events, and crawl status.

Key caution

A page with low traffic is not always disposable. It may rank for valuable long-tail queries, attract assisted conversions, or support a particular audience segment. Review Search Console and backlink data before making a permanent change.

Build a Content Performance Dashboard

A useful dashboard should support decisions, not merely display numbers. Include filters for:

• Date range.
• Default channel group.
• Country.
• Device category.
• Content topic.
• Content format.
• Funnel stage.
• Landing page.
• New versus returning users.

Recommended dashboard views include:

Executive view

Show:

• Organic users.
• Key events.
• Revenue or pipeline value.
• Session key event rate.
• Top-performing topic groups.
• Content production and refresh volume.

SEO manager view

Show:

• Landing pages by content group.
• Organic engagement rate.
• Search clicks and impressions.
• Pages with declining key event rates.
• Group-level conversion trends.
• Suspected cannibalisation candidates.

Editorial view

Show:

• Articles published by topic.
• Format performance.
• Content refresh results.
• Internal-link coverage.
• Pages awaiting optimisation.
• Groups with insufficient commercial coverage.

Example decision matrix

Finding	Likely interpretation	Recommended action
High traffic, low key event rate	Weak intent match or offer	Improve CTA and content alignment
Low traffic, high key event rate	Valuable but underexposed page	Build links and improve distribution
High traffic across many similar URLs	Possible cannibalisation	Compare queries and consolidate where justified
Strong guide performance, weak product page	Internal journey problem	Add contextual internal links
Falling engagement after traffic growth	Query expansion without relevance	Review titles, headings, and intent
High assisted conversions	Early-stage influence	Preserve and support the group

Improve Internal Linking Based on Group Data

GA4 group analysis becomes more useful when it leads to changes on the site. Internal links should reflect topic relationships and funnel progression.

For each high-performing informational page, identify:

• The next logical question.
• The relevant commercial page.
• A supporting case study.
• A template or tool.
• A deeper guide within the same topic cluster.

Use descriptive anchor text that helps users and search engines understand the relationship. Avoid forcing exact-match anchors into every paragraph. That can make the page read badly and may reinforce a narrow, repetitive targeting pattern.

A simple internal-linking framework is:

1. Link broad awareness content to problem-focused guides.
2. Link problem-focused guides to solution comparisons.
3. Link comparison pages to product or service pages.
4. Link commercial pages to proof assets such as case studies.
5. Link older relevant pages to newly updated resources.
6. Audit whether overlapping pages are linking to different preferred URLs.

The right internal-link structure can reduce cannibalisation risk by showing which page is the main resource for a topic and which pages support it.

Use Content Groups to Guide Future Publishing

Once your taxonomy and dashboard are working, use the findings to plan the next content cycle.

Prioritise topics using a combined score:

Factor	Suggested weighting
Organic demand	25%
Commercial intent	25%
Existing conversion performance	20%
Competitive gap	15%
Cannibalisation risk	15%

A topic with high demand but severe overlap may need consolidation before new pages are published. A topic with modest demand but strong conversion rates could deserve expansion.

Before commissioning or generating a new article, check:

• Does a relevant URL already exist?
• Is the new page targeting a genuinely different intent?
• Which content group will it join?
• What format is needed?
• What conversion action should it support?
• Which existing pages should link to it?
• Could an existing page be refreshed instead?

SEO Letters is designed for this type of structured publishing workflow. It supports keyword research with difficulty ratings, topical authority clusters, competitor gap analysis, scheduled campaigns, content refresh campaigns, and direct publishing. You still decide the strategy and approve the taxonomy. The software handles much of the work between the brief and the live page.

Common GA4 Content Grouping Mistakes

Creating too many groups

If every article has its own group, you have simply renamed the URL report. Groups should reveal patterns across related pages.

Mixing topics and formats in one value

Values such as GA4-how-to-commercial become difficult to filter and compare. Use separate parameters when the reporting question requires separate dimensions.

Changing labels without documentation

Renaming Analytics to GA4 Analytics can split historical reporting into two categories. Maintain a mapping table and annotate major changes.

Measuring only traffic

Traffic is useful for reach. It does not show whether the content is producing leads, sales, assisted conversions, or meaningful user progression.

Ignoring attribution limitations

GA4 is not a complete SEO attribution system. Organic search data, conversion paths, CRM outcomes, and revenue often sit across several platforms.

Treating cannibalisation as a penalty

Keyword cannibalisation is usually an issue of relevance, prioritisation, and signal distribution. Some overlapping pages can rank successfully, especially when they serve different intents.

Failing to exclude unsuitable pages

Login pages, search results, tag archives, internal tools, and utility pages can distort topic analysis. Define exclusions before building executive reports.

A 30-Day GA4 Content Group Implementation Plan

Days 1 to 5: Audit and taxonomy

• Export key URLs and performance data.
• Identify major topics, formats, and funnel stages.
• Document inclusion and exclusion rules.
• Highlight pages with overlapping keyword themes.
• Agree on the primary reporting questions.

Days 6 to 10: Technical implementation

• Add the content_group value to relevant templates.
• Configure supporting parameters where needed.
• Test data in Tag Manager and GA4 DebugView.
• Confirm consent and internal traffic settings.
• Document the deployment.

Days 11 to 15: Reporting setup

• Create a content group Exploration.
• Add landing-page breakdowns.
• Add key event and revenue metrics.
• Connect Search Console or another SEO data source.
• Build audience and device filters.

Days 16 to 22: Cannibalisation review

• Identify groups with overlapping pages.
• Compare queries, rankings, titles, and intent.
• Apply a cannibalisation scoring model.
• Select pages for differentiation, consolidation, or monitoring.
• Review internal links and canonical signals.

Days 23 to 30: Optimisation and publishing

• Improve calls to action on high-traffic pages.
• Link informational pages to commercial assets.
• Refresh declining content.
• Create only the missing pages that have a defined role.
• Schedule the next content review.

A scheduled system can make this process more consistent. With SEO Letters, teams can plan topic clusters, generate articles in a brand-aware voice, publish to supported platforms, and run content-refresh campaigns rather than continually adding pages to an already crowded site.

Expert Interpretation: What Good Performance Looks Like

There is no universal GA4 content group benchmark. Conversion rates vary by business model, traffic source, price point, device mix, and buying cycle.

Still, strong analysis tends to show a few characteristics:

• High-intent groups generate a higher share of key events than broad awareness groups.
• Informational groups assist conversions through internal navigation.
• Each important topic has a clear primary resource.
• Formats are matched to search intent rather than used as editorial decoration.
• Content refreshes improve engagement or conversion quality.
• Traffic growth is reviewed alongside qualified actions.
• Topic groups are large enough to show patterns but specific enough to guide decisions.

A healthy content operation also recognises that some pages play an early-stage role. An introductory guide may rarely generate a direct purchase, yet it could introduce the brand, earn links, and support later conversion paths. Removing it because the last-click number is low would be an incomplete decision.

Final Checklist for GA4 Content Groups

Before relying on your reporting, confirm that:

• Every key page has a defined primary content group.
• The content_group parameter is being sent correctly.
• Supporting dimensions have clear definitions.
• GA4 DebugView tests have been completed.
• Historical taxonomy changes are documented.
• Key events represent meaningful business outcomes.
• Organic performance is reviewed with Search Console data.
• Landing-page analysis is available inside each group.
• Cannibalisation candidates are assessed by intent and query overlap.
• Internal links support a clear topic hierarchy.
• Content refreshes are measured separately from new articles.
• Reporting includes conversion quality, not just sessions.

Conclusion: Turn GA4 Content Groups Into an SEO Decision System

GA4 content groups help you move from URL-level reporting to a structured view of your content operation. You can compare topics, formats, funnel stages, landing pages, and conversion outcomes in a way that points towards specific action.

The keyword cannibalisation connection is especially important. When several pages sit within the same topic group, GA4 can show whether users behave differently on each URL, whether conversion value is being fragmented, and whether a page deserves consolidation, differentiation, stronger internal links, or a content refresh.

The next step is to make the system repeatable. Define the taxonomy, implement the tracking, validate the data, review the groups monthly, and connect each insight to a publishing or optimisation decision.

If you’re trying to scale organic publishing without creating overlapping pages and inconsistent reporting, open SEO Letters and build a more disciplined workflow from keyword research through to published, measurable content.