Definition
Zoning analysis divides a page into zones based on its underlying structure, then measures how visitors interact with each zone. In Contentsquare documentation, zones can include interactive and static elements such as banners, buttons, images, menus, and forms. The analysis is therefore about behavior tied to page elements, not just a general view of the page.
Depending on the analysis, teams can examine metrics such as click rate, exposure rate, scroll reach, attractiveness, and revenue or conversion attribution. The results can be viewed in a zone-based heatmap and compared across audiences, time periods, devices, or experiment variants where the relevant data is available.
Zoning analysis is not a replacement for qualitative research or session-level investigation. It shows patterns across visitors; teams often pair it with journey and session analysis to understand the context behind those patterns.
What does that mean
Think of a webpage as a room with different areas. Zoning analysis checks what people do in each area—such as whether they see a banner, click a button, or reach a form—and connects those actions to outcomes.
Why this matters.
Teams can replace guesses about page design with evidence about which elements people notice and use. For Marketing, Product, UX/UI, and Ecommerce, this helps prioritize changes; for Data, it adds element-level context to broader conversion and journey analysis.
Use cases
Improve landing-page and merchandising performance
When a page contains many promotional elements, teams may not know which content visitors actually notice or which elements contribute to valuable actions. Zoning analysis assigns metrics to individual zones so marketers and ecommerce teams can compare exposure, clicks, engagement, and conversion or revenue attribution. The result is a clearer basis for promoting high-performing content, repositioning useful elements, or reducing space given to content that is not helping the page’s goal.
Diagnose form and checkout friction
A form can receive traffic while still losing users at specific fields or steps. By analyzing form zones and related interaction metrics, UX/UI and Product teams can identify where visitors struggle, leave fields blank, or stop progressing, then combine that evidence with replays or funnel data. The expected benefit is a more focused improvement backlog and fewer changes based only on overall completion rates.
Evaluate experiments and interactive elements
An A/B test can show that one variant wins without explaining which interaction made the difference. Zoning analysis lets Marketing and Product teams compare page elements across variants or focus on visitors who interacted with a particular pop-up, filter, or call to action. This helps teams distinguish between people who were merely exposed to a treatment and people who actually engaged with it, improving the next iteration of the experiment.
See it in practice
In its experimentation program, ASICS used Contentsquare Heatmaps and zoning analysis to examine a homepage pop-up and segment A/B-test results around users who interacted with a product-listing filter. The connection shows how element-level behavior can add context to experiment results without relying only on the overall variant outcome.
How Contentsquare helps
Heatmaps show click, exposure, scroll, conversion, and revenue-related performance for page elements, with side-by-side comparisons that help teams evaluate different scenarios.
Session Replay lets teams inspect relevant user sessions after a zone or funnel pattern reveals possible friction, helping explain what happened in the experience.
Journeys place page interactions in the context of paths, drop-offs, loops, and successful routes through a site or app.
Funnel Analysis connect behavioral friction to progression through important flows, helping teams prioritize the page or form issues most likely to affect conversion.
FAQs on Zoning Analysis
It is an element-level analysis of how visitors interact with defined areas of a webpage or app experience. Instead of looking only at page-level totals, it connects behavior—such as seeing, scrolling, or clicking—with the specific zone where it occurred.