This guide will walk you through:

• What segment overlaps really are.

• Why are they crucial for uncovering deep user behavior insights?

• How to find these overlaps using common analytics tools.

• Interpreting what these overlaps tell you about winning and losing behaviors.

• Taking action based on what you find.

Ready to move beyond surface-level data and truly understand your audience? Let's dive in.

What Exactly Are Segment Overlaps? The Power of Intersection

Imagine your website users grouped by different characteristics:

• Acquisition: How they found you (Organic Search, Paid Social, Direct, Email)

• Demographics: Age, Location, Gender

• Technology: Device (Desktop, Mobile, Tablet), Browser

• Behavior: New vs. Returning Users, Pages Visited, Time on Site, Conversions

Segment overlap occurs when you examine the users who belong to two or more of these segments simultaneously.

• Simple Example: How do users who arrived via Organic Search AND are using a Mobile Device behave?

• A more complex example is: What is the conversion rate for Returning Users who came from an email campaign and viewed Product Page X?

Instead of just knowing how "Mobile Users" perform overall, you start seeing the specific behavior of mobile users from a particular source or mobile users who performed a specific action. It adds layers and context, revealing patterns hidden within the broader averages.

Why Do Overlaps Matter? Finding Your Winners and Losers

Looking at segments in isolation gives you averages, but averages can be misleading. The real magic happens when you analyze the intersections:

1. Identify Your "Winners" (High-Value Overlaps): You might discover that users from Organic Search on Desktop have an exceptionally high conversion rate. Or perhaps Returning Users via Email spend the most time on the site. These overlaps highlight your most valuable user journeys and combinations – areas where you should potentially double down.

2. Uncover "Losers" (Friction Points & Low-Value Overlaps): Conversely, you might find that users arriving from Paid Social on Tablets have an abnormally high bounce rate. Or maybe New Users from Referrals rarely visit more than one page. These overlaps pinpoint specific areas of friction, poor user experience, or misaligned targeting that need fixing.

3. Understand Complex User Journeys: Overlaps help map how different user types navigate your site. Do mobile users from social media browse differently than desktop users from organic search? These insights inform content strategy, UX design, and personalization efforts.

4. Optimize Marketing Spend & Effort: By identifying which combinations of source/medium/device/behavior lead to conversions (winning) versus drop-offs (losing), you can allocate resources more effectively. Invest more in channels bringing engaged users and fix the channels bringing users who bounce quickly.

5. Personalization Opportunities: Knowing that "Users from X Campaign interested in Y Topic" behave differently allows for more targeted messaging and experiences.

How to Find Segment Overlaps in Your Analytics (A Practical Guide)

While specific steps vary by analytics platform (like Google Analytics, Adobe Analytics, etc.), the core concepts are similar. Let's use Google Analytics (GA4) as a common example:

• Method 1: Comparison Segments (Fundamental)

  • Go to your standard reports (e.g., Traffic Acquisition, Pages and Screens, Engagement).

  • At the top, click "Add comparison".

  • Create your first segment (e.g., Session source/medium exactly matches Google / organic).

  • Create your second segment (e.g., Device category exactly matches mobile).

  • Apply both. Now the report data is filtered to show only users who meet both conditions – the overlap! You can compare this overlap group to other segments or the overall average.

• Method 2: Using Secondary Dimensions (Quick Overlaps)

  • In many standard reports (like the Landing Page report), you can add a "Secondary dimension".

  • For example, view your Landing Pages. Add Device category as a secondary dimension. Now you see performance for each landing page, broken down by device type – a simple but effective overlap. Try adding the Session source/medium as well.

• Method 3: GA4 Explorations (More Power & Flexibility)

  • Navigate to the "Explore" section in GA4.

  • Free Form Exploration: This is highly flexible. Drag dimensions (like Session source/medium, Device category, Page path) into "Rows" and "Columns", and metrics (like Sessions, Conversions, Engagement rate, Average engagement time) into "Values". You can apply filters to narrow down specific overlaps.

  • Segment Overlap Exploration: GA4 has a dedicated exploration template for this! Choose up to 3 segments (e.g., "Mobile Traffic," "Converters," "Organic Traffic"), and it visually shows you the number and percentage of users in each segment and their overlaps. This is great for initial discovery.

  • Funnel Exploration: Analyze overlaps at different stages of a conversion funnel. See if users from specific sources/devices drop off at particular steps.

Interpreting the Overlaps: What Does the Data Tell You?

Once you've found an overlap, ask these questions:

• Volume: How many users are in this overlapping segment? Is it significant?

• Engagement: How does their behavior (bounce rate, pages/session, time on site, engagement rate) compare to the site average or other segments? Are they "winning" (highly engaged) or "losing" (disengaged)?

• Conversion: How does their conversion rate (for goals, purchases, etc.) compare? Are they high-value "winners" or low-converting "losers"?

• Content Consumption: What specific pages or content types do they interact with most/least?

• Context: Why might this overlap behave this way? (e.g., Is the landing page poorly optimized for mobile? Is the traffic source sending low-intent visitors?)

Taking Action: Turning Insights into Improvements

Your analysis isn't complete until you act on it:

• Double Down on Winners:

  • Insight: Organic Mobile users convert well.

  • Action: Ensure mobile UX is flawless; create more mobile-first content targeting relevant organic keywords; increase SEO budget for mobile-focused terms.

• Fix the Losers:

  • Insight: Paid Social Tablet users bounce immediately.

  • Action: Review ad creative/targeting for tablets; analyze the landing page experience specifically on tablets (speed, layout, forms); potentially pause tablet targeting if unprofitable.

• Optimize Specific Journeys:

  • Insight: Users arriving on Blog Post A from Email rarely click through to Product Page B.

  • Action: Improve the Call-to-Action (CTA) within Blog Post A; test different internal linking strategies; ensure relevance between the post and the product.

• Personalize:

  • Insight: Returning visitors who previously bought Product X engage highly with articles about Product Y.

  • Action: Create targeted email campaigns or onsite messages promoting Product Y specifically to buyers of Product X.

Key Takeaways

• Stop looking at user segments in isolation. The real insights often lie in the overlaps.

• Segment overlaps help you identify your most valuable user combinations (winners) and pinpoint areas of friction (losers).

• Use comparisons, secondary dimensions, and exploration reports in your analytics platform to uncover these overlaps.

• Analyze overlaps based on volume, engagement, conversion, and content consumption relative to your averages.

• Turn insights into action: optimize winning strategies, fix losing journeys, and personalize experiences.

See the Whole Picture

Analyzing segment overlaps transforms your analytics from a collection of disconnected data points into a rich tapestry of user behavior. By understanding how different user characteristics intersect and influence outcomes, you move beyond assumptions and averages.

You gain the clarity needed to make smarter decisions, optimize more effectively, and ultimately build better experiences that resonate with the specific groups driving your success. Start exploring those overlaps today – you might be surprised by the valuable winners (and fixable losers) you uncover.

Best,

Momenul Ahmad

I'm Momenul Ahmad, Digital Marketing Strategist at SEOSiri. I focus on driving top SERP performance through technical skills and smart content strategy. Currently, Interested in discussing how I can help. Let's chat on WhatsApp. You can also learn more about our work at SEOSiri.

1. Incorrect entry IDs for the Bidding Form: This is still the most likely culprit. You must ensure that the entry.NUMBER values within the auctionVars.entryIDs object in your JavaScript exactly matches the field IDs from your specific bidding form (...nwygwXuGocSTTyFGHjyQ96). If even one ID is wrong (e.g., copied from the contact form or just a typo), the pre-filled URL generated by buildGoogleFormUrl will be invalid or malformed, and the iframe might remain blank or show an error.

   • Action: Generate the pre-filled link for https://forms.gle/nwygwXuGocSTTyFGHjyQ96 again, and carefully copy the entry.NUMBER values for Target Level, Bid Increment, and Bid Type, and paste them into the correct spots in the auctionVars.entryIDs object.

2. Incorrect Google Form ID for the Bidding Form: Double-check that the googleFormId variable in auctionVars (1FAIpQLSeV4DfgHfGHfGHV_v3M4D1r809876tfghjkmn bFGHJKyrfdcvb) is definitely the correct ID associated with the ...nwygwXuGocSTTyFGHjyQ96 form link.

3. JavaScript Error Before Form Load: An error occurring before or during the bid() or handleCustomBidSubmit() functions could be preventing the loadFormInModal function from executing correctly.

   • Action: Open the Developer Console (F12). Click a bid button. Look for any red error messages in the Console tab. Fix these first.

4. Iframe Target Issue: Less likely, but check that the iframe within the modal (#bid-modal) still has the exact ID, google-form-iframe.

   • Action: Inspect the HTML of the modal section using browser developer tools to confirm the iframe ID is correct.

In summary: Focus your troubleshooting on verifying the googleFormId and especially the entryIDs within the auctionVars object against the correct bidding form (...nwygwXuGocSTTyFGHjyQ96). Also, check the browser console for JavaScript errors. Using the same form definition elsewhere on the page is almost certainly not the root cause.

 Best,

Momenul Ahmad

I'm Momenul Ahmad, Digital Marketing Strategist at SEOSiri. I focus on driving top SERP performance through technical skills and smart content strategy. Currently, Interested in discussing how I can help. Let's chat on WhatsApp. You can also learn more about our work at SEOSiri.