Article

9min read

Heatmaps: Your Team’s Secret Weapon for Uncovering Website Gold

What are heatmaps? (and why your team needs them)

Think of heatmaps as your website’s truth-teller. They’re visual snapshots showing exactly where visitors click, scroll, and linger. No guesswork required.

Here’s how they work: Warm colors (reds, oranges) highlight the hotspots where users engage most. Cool colors (blues, greens) reveal the overlooked zones that might need attention.

The best part? Your visitors do all the heavy lifting. They show you what’s working and what’s not, so your team can make changes that actually move the needle.

Spot the signals: When to bring heatmaps into play

Heatmaps aren’t just pretty pictures—they’re your optimization toolkit’s MVP. Here’s how they deliver the biggest impact:

Measuring real engagement

Writing content that no one reads? Heatmaps show you exactly where readers drop off. If only 10% of visitors reach your CTA, it’s time to shake things up.

Tracking what matters: Actions

Are people clicking where you want them to? Heatmaps reveal if visitors complete your desired actions—or where they’re getting stuck instead.

Highlighting where attention sticks (and slips)

What grabs your attention first? What images distract from your main message? Heatmaps answer these questions so you can double down on what works.

Once you have these insights, bigger questions become easier to tackle:

  • Where should we place our most important content?
  • How can we use images and videos more effectively?
  • What’s pulling attention away from our goals?

The essential heatmap lineup every team needs

Most modern heatmap tools offer multiple views of user behavior. We partner closely with some of the major players already. Let’s break down the most common ones you’ll come across.

Click Heatmaps: The Action Tracker

These maps show every click on your page, with dense concentrations appearing as bright white areas surrounded by warm colors. Think of them as your conversion reality check.

What it tells you: Whether people click where you want them to—or if they’re trying to click non-clickable elements that look interactive.

How to use it: Look for clicks scattered around non-interactive text or images. These “frustrated clicks” signal design problems. If users are clicking on underlined text that isn’t a link, or images they expect to be clickable, you need to either make those elements functional or redesign them to look less interactive.

Pro tip: Compare click density on your primary CTA versus other page elements. If secondary elements are getting more clicks than your main conversion button, it’s time to redesign your visual hierarchy.

Scroll Heatmaps: The Attention Meter

See how far down visitors scroll and what percentage of users reach each section of your page. This is crucial for understanding whether your important content is actually being seen.

What it tells you: If users actually see your important content or bail before reaching your CTA. Most importantly, it shows you the “fold line”—where 50% of users stop scrolling.

How to use it: Identify the scroll percentage where you lose half your audience, then ensure all critical elements (value propositions, CTAs, key benefits) appear above that line. If your main CTA is only seen by 20% of visitors, move it higher or add secondary CTAs above the fold.

Pro tip: Use scroll maps to optimize content length. If 80% of users stop reading halfway through your blog post, either shorten the content or add more engaging elements (images, subheadings, interactive elements) to keep them scrolling.

Click Percentage Maps: The Element Analyzer

This view breaks down clicks by specific elements, showing exactly how many people clicked each button, image, or link as a percentage of total visitors.

What it tells you: Which elements deserve prime real estate and which ones are dead weight. You’ll see precise engagement rates for every clickable element on your page.

How to use it: Rank your page elements by click percentage to understand what’s actually driving engagement. If your newsletter signup gets 15% clicks but your main product CTA only gets 3%, you might need to redesign your primary call-to-action or reconsider your page goals.

Pro tip: Use this data to inform A/B tests. If one button consistently outperforms others, test applying its design (color, size, copy) to underperforming elements.

Confetti Maps: The Individual Click Tracker

Instead of showing click density, these maps display each individual click as a colored dot. Perfect for spotting users trying to click non-clickable areas or understanding click patterns in detail.

What it tells you: Where to add functionality or remove confusion. Each dot represents a real user’s intent to interact with something on your page.

How to use it: Look for clusters of dots over non-interactive elements—these represent frustrated users trying to click things that don’t work. Also watch for dots scattered far from any actual buttons or links, which might indicate responsive design issues or accidental clicks.

Pro tip: Filter confetti maps by traffic source or user segment. Mobile users might have different click patterns than desktop users, and organic traffic might behave differently than paid traffic.

Mobile-Specific Heatmaps: The Touch Tracker

Modern tools capture mobile-specific actions like taps, swipes, pinches, and multi-touch gestures—because mobile behavior is fundamentally different from desktop.

What it tells you: How to optimize for the majority of your traffic (since mobile often dominates). Mobile users have different interaction patterns, attention spans, and conversion behaviors.

How to use it: Create separate heatmaps for mobile and desktop traffic. Mobile users typically scroll faster, have shorter attention spans, and interact differently with buttons and forms. Use this data to optimize button sizes, reduce form fields, and adjust content layout for mobile-first experiences.

Pro tip: Pay special attention to thumb-reach zones on mobile heatmaps. Elements that are easy to tap with a thumb (bottom third of screen, right side for right-handed users) typically get higher engagement rates.

Learn more about best practices for designing for mobile experiences with our Mobile Optimization Guide.

Eyes vs. clicks: Understanding the key differences

While heatmaps track mouse movements and clicks, eye-tracking follows actual gaze patterns. Eye-tracking gives deeper insights but requires specialized equipment most teams don’t have.

The good news? AI-powered tools like Feng-Gui and EyeQuant now simulate eye-tracking through algorithms, making this technology more accessible.

Bottom line: Start with heatmaps. They’re easier to implement and give you actionable insights right away.

Features that make or break your heatmapping game

Not all heatmap tools are created equal. Here’s what your team should prioritize:

Must-have features:

  • Audience Segmentation: Create maps for specific user groups (new vs. returning visitors, mobile vs. desktop)
  • Map Comparison: Easily compare results across different segments
  • Page Templates: Aggregate data for similar page types (crucial for e-commerce sites)
  • Mobile Optimization: Track touch, scroll, and swipe behaviors
  • Export Capabilities: Share results with your team effortlessly
  • Dynamic Element Tracking: Capture interactions with dropdowns, sliders, and AJAX-loaded content
  • Historical Data: Preserve old heatmaps even after design changes

Test smarter with heatmap insights

Here’s where things get exciting. Heatmaps show you the problems, but how do you know if your fixes actually work?

Enter A/B testing.

This three-step approach turns insights into results:

  • Identify problems with heatmaps
  • Test potential solutions with A/B testing
  • Choose the highest-performing solution based on data

Real Example:

Nonprofit UNICEF France wanted to better understand how visitors perceived its homepage ahead of a major redesign.

Their move: UNICEF France combined on-site surveys with heatmapping to gather both qualitative feedback and visual behavioral data.

The result: Heatmaps showed strong engagement with the search bar, while surveys confirmed it was seen as the most useful element. Less-used features, like social share icons, were removed in the redesign—resulting in a cleaner, more user-focused homepage.

Continue reading this case study

Connect the dots and act with confidence

Ready to put heatmaps to work? Here’s your game plan:

Start small. Pick one high-traffic page and run your first heatmap analysis.

Look for patterns. Are users clicking where you expect? Scrolling to your key content? Getting stuck somewhere?

Test your hunches. Use A/B testing to validate any changes before rolling them out site-wide.

Iterate forward. Heatmaps aren’t a one-and-done tool but part of your ongoing optimization process.

Remember: every click tells a story. Every scroll reveals intent. Your visitors are already showing you how to improve—you just need to listen.


Ready to see what your visitors are really doing? Heatmaps give you the insights. A/B testing helps you act on them. Together, they’re your path to better conversions and happier users.


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Article

6min read

Unify GA4 with BigQuery to Strengthen Experiments

In today’s digital landscape, data-driven choices are essential for staying competitive, with experimentation as a critical driver of innovation. To support this, we recently hosted a webinar with experts from Google Cloud and AdSwerve, focusing on how Google Analytics 4 (GA4) and BigQuery can enhance experimentation strategies. GA4 is essential for all marketing teams, providing advanced analytics that, when combined with BigQuery’s data consolidation capabilities, enables more effective testing, personalization, and digital optimization.

Meet the panel

Taige Eoff, Cloud Data AI Lead at Google, has been at Google for twelve years, leading data and AI initiatives for cloud marketing. Taige focuses on developing scalable solutions that support partners like AB Tasty and AdSwerve in optimizing digital experiences.

Alex Smolin, Senior Optimization Manager at AdSwerve, brings extensive experience in media, data, and technology. As a certified Google Premium Partner, AdSwerve provides data-driven brands with solutions ranging from A/B testing to advanced analytics.

Mary Kate, our roundtable host and Head of Growth Marketing for North America at AB Tasty, leads efforts to help companies create impactful digital experiences through AB Tasty’s suite of experimentation, personalization, product recommendations, and site search tools.

AB Tasty’s integration with GA4 & BigQuery

Connecting AB Tasty with GA4 gives marketing teams insights into visitor behavior through advanced analytics on CPA, conversion rate, bounce rate, SEO, and traffic. This integration allows teams to use data from either tool to measure the impact of experiments pre- and post-rollout, generating data-backed hypotheses and fostering innovation.

Google BigQuery, a fully managed cloud data warehouse solution, offers rapid data storage and analysis at scale. With its serverless, cost-effective structure, BigQuery allows businesses to analyze large datasets efficiently, making it easier to make well-informed decisions.

With Google BigQuery, users can effortlessly execute complex analytical SQL queries and leverage built-in machine-learning capabilities.

Why is data from GA4 foundational to any CRO program?

In experimentation, data is the catalyst that drives actionable insights. Data flows in from multiple sources, and businesses generate detailed reports by working with partners to integrate tracking and tagging. But the question then becomes: what comes next? That’s where experimentation enters. Using data from tools like GA4, teams can transform hypotheses into tests, uncovering which changes impact user engagement or conversions most effectively.

GA4’s role extends further by providing a consistent framework for testing across platforms. When integrated with BigQuery, GA4 allows teams to cross-reference test outcomes with other data points, revealing not just what worked but why it worked. As Alex noted, “We gather good data, run good tests, and then verify results across disparate sources like BigQuery to see if what we tested had the expected downstream impact.”

Data accessibility and agility are also important. Trends evolve quickly, with viral content or market shifts requiring rapid adaptability. “Having partners like Google, with all data in one place, and a platform like AB Tasty, where experiments can be quickly set up, is essential for staying competitive” Alex emphasized.

“Having partners like Google, with all data in one place, and a platform like AB Tasty, where experiments can be quickly set up, is essential for staying competitive.”

Alex Smolin, Senior Manager Optimization at Adswerve

How BigQuery powers scalable experimentation

With the growing volume of data, businesses need a way to consolidate and interpret it to drive impactful decisions. BigQuery, as Taige explained, is a robust cloud warehouse that streamlines data for meaningful insights, making it a key player in the experimentation ecosystem.

“Think of BigQuery as a filing cabinet for your organized data,” Taige noted. By consolidating disparate data sources, teams can create a unified view that informs testing and optimization efforts. Through this approach, tools like GA4 and BigQuery enable accurate decision-making that scales with the business. With BigQuery as the backbone, AB Tasty and AdSwerve can build on this structure to optimize user experiences through precise experimentation.

Beyond just data storage, BigQuery integrates with various Google Cloud tools and supports a wide range of use cases—from standard reporting to advanced machine learning. For marketers, this means fewer technical bottlenecks and quicker access to the data needed to stay agile. As Taige explained, “You may not need deep technical skills to access BigQuery’s benefits; the right partnerships and data structure can give you a powerful, accessible foundation.”

Leveraging BigQuery’s built-in AI and machine learning models

BigQuery offers an array of AI models for specific use cases—from translation and personalization to customer segmentation. These models add value by automating processes, such as localization or customer behavior prediction, allowing for smoother, more targeted marketing.

BigQuery’s flexibility means that companies can incorporate custom or third-party models, ensuring compatibility with a variety of AI solutions. This adaptability helps organizations innovate and iterate on experimentation programs, expanding what they can achieve with data.

Simplifying data access for marketing efficiency

For marketing teams, BigQuery’s role as a centralized data hub allows seamless data consolidation from platforms like Google Ads, Salesforce, and GA4. This integration ensures that marketers aren’t slowed down by fragmented data sources, freeing them to focus on insights and execution. As Taige highlighted, “The peace of mind that BigQuery provides comes from knowing that all data is consolidated and accessible, allowing teams to be nimble and creative.”

With BigQuery, marketers can view performance metrics, analyze customer journeys, and refine strategies—all within a unified environment. This lets teams optimize campaigns in real time as new data insights emerge.

Next-Generation capabilities enabled by Google Cloud

Looking ahead, digital  is paving the way for more advanced experimentation capabilities.  The conversation shifts to AI and machine learning, bringing new opportunities for personalization and optimization. As Mary Kate pointed out, while AI-driven insights can revolutionize customer experiences, many brands are still years away from realizing the full potential of these tools.

True value will come not from adopting every new tool but from understanding the foundational data supporting AI and asking the right questions about how these technologies can serve customer needs. Taige added, “If you don’t have a data strategy, you won’t have an AI strategy.” While AI amplifies data power, it requires organized, high-quality data to work effectively.

By consolidating and centralizing data through BigQuery, teams gain real-time insights and can make informed decisions. This data foundation enables the current wave of omnichannel strategies and sets the stage for future AI applications. Businesses that adopt this holistic approach—consolidating data, optimizing channels, and preparing teams for AI—will unlock new experimentation opportunities and drive impactful customer experiences.

With GA4 and BigQuery, businesses have the tools to streamline data consolidation and power next-generation experimentation. Ready to join your data and experimentation? Discover how AB Tasty can help bring data-driven optimization to life.