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Amplitude

What Makes a Good vs Bad North Star Metric The Role of Feature Management in Successful Product Development Cohort Retention Analysis: Reduce Churn Using Customer Data 7 Steps to Measuring the Success of a Feature 14 Best Product Management Tools for 2026 (Plus Tips from Senior PMs) Putting A Number On AI Quality Meet the Winners of the 2026 Amplitude AI Impact Awards Beyond Last-Touch Attribution: Find Out Which Interactions Really Matter Agent Connectors Are Better Together Agents That Act on What Actually Happened How Square Used Amplitude to Enhance the Seller Experience and Power Growth Migrating Analytics Platforms Without The Chaos Wanted Lab Grows Sign-Ups by 150% & Builds Experimentation Culture How to Balance Inference Cost and User Experience for Agents Five best practices for getting started with AI agents 24 Quarters at #1. Here’s What’s Next. How We Built a Product That Tells Us What To Build Next: Inside Amplitude Wave Looking Beyond Campaign Metrics: 7 Marketing Success Stories AI Evals for Product Managers: A Beginner’s Guide to Getting Started The Builder Skills Library Introducing Agent Connectors in Amplitude Understand How AI Thinks, Get Better Results How We Redesigned Amplitude Docs for Agents and Made Everyone an Author AI Broke Your Experimentation Program. Here’s How to Fix It. Every Stuck User Is a Support Ticket Waiting to Happen Tracing the Sale: Connect Behavior to Conversions with Persisted Properties Building CLI Agents: It’s What You Don’t Give Them That Counts Three Tips for Better Prompts in Amplitude Global Agent How AI Took the Data Analyst’s Job, and Created a Better One Default Prompts Are Tanking Your Agent’s Retention Optimizing Core Web Vitals with Amplitude’s Global Agent Don’t Ask Global Agent Anything, Ask These Three Things How We Built a Design Agent at Amplitude with Claude Managed Agents and Cloudflare The Problem with Chasing Churn How Hostinger Achieved a 20%+ Conversion Lift Through Experimentation How STAGE Streams Smarter by Putting Data at the Center Building the Validation Stack for AI Product Development Making AI Analytics Safe for Financial Services Teams Amplitude Heatmaps Update: More Reliable Screenshots and Accurate Placement Most Teams Ship Agent Personalities by Accident. We Didn’t. What I Learned Pointing a Ralph Loop at My Product for a Week How Mercado Libre Scales Decision Making with AI Claude Cowork for PMs: 5 Playbooks to Get Started How ACKO Drove 13% More Conversions & 50% Drop in Calls with GenAI Agents Just Made Your Feature Launch Channel Smarter Homegrown FinOps Tools: How AI “Build” Beat “Buy” for Us in <1 Year Introducing The Amplitude Quickstart Series Rebuilding Session Replay’s Delivery Layer to Be Lighter on Your Page The Eval Signal That Predicts 3x Agent Retention Agents Write Code. Fixing It Is Still On You. Amplitude and Statsig Partnership 5 Agent Skills to Automate Your Weekly Product Review Amplitude Plug and Play: New AI Plugin in Claude and Cursor Marketplaces Introducing Amplitude Wizard CLI: Set Up Amplitude from Your Codebase Making AI Search Count (and Convert) How VEED Evolved Its AI Search Strategy What’s New with Amplitude Agents Effortless Support at Scale: Making Human Support More Human AI Week 2026: Upleveling All Together Amplitude AI Builders: Paul Hultgren Chats about AI Assistant Dashboard Dread to AI-Driven Decisions: How Tira Rebuilt Its Analytics Workflow Your Product Deserves a Better Support Agent How Cisco Systems Accelerated Adoption by 20% Through Data Innovation
Introducing Zoning Insights: Web Intelligence at a Glance
Chad Swenson · 2026-06-11 · via Amplitude

Here’s a common scenario. You’re trying to optimize conversion on your website, or someone has a quick question about performance. Either way, all you need to know is what elements on the page are converting customers.

But your website has a lot going on: page layout tests, a new hero banner, an updated recommendations block, and a few different CTAs. Multiply all that by every product and landing page you have.

You open a heatmap. Then a table of URL clicks. Then a conversion funnel, a web experiment report, and another version of the reports filtered by audience. Maybe you ask an AI assistant, and it reads your reports and writes back a paragraph. Each tool shows you glimpses of something real, but none of them answer the question clearly.

One thing is for sure: A “quick question” about web performance shouldn’t take the rest of your afternoon.

Amplitude Zoning Insights is a visual website intelligence tool that overlays conversion metrics directly on your live pages, so you can see which elements drive revenue for specific audiences without switching between tools. We designed it as part of a continuous loop for website conversion rate optimization, from tracking and insights to native experimentation and taking action.

Heatmaps track engagement, zoning delivers insights

Zoning Insights elevates what heatmaps can tell you in two ways: It shows real conversion rates instead of color gradients, and it groups performance by page element so insights map directly to things you can test and change. That combination makes it easy to prioritize what to fix without reconciling click data across separate reports.

During our beta, a leading ecommerce brand used Zoning Insights on their product detail pages. They aggregated performance of product detail pages (PDPs), which includes hundreds of pages for product variants and accessories, and immediately discovered that the “product specs” section of PDPs led to much higher conversion rates than the marketing highlights above. This gave them a clear, data-backed reason to adjust their PDP layout by moving product specs up. The result is an improved customer experience that delivers the information site visitors are looking for as soon as possible.

Without Zoning Insights, they would have been stuck consolidating page reports and element clicks across their PDPs.

Web conversion rate optimization is about relevance

A new visitor and a returning customer behave differently on the same page, and one layout can’t serve both equally well. Zoning Insights goes beyond the aggregate view and lets you filter any zone view by the audience you care about, so you can compare behavior segment by segment and act on what you find, without rebuilding definitions in a separate tool.

Zoning is our starting point. It gives the right level of detail, and based on that, you can segment customers or watch session replays to get a better read on behavior.

Beta customer

When you access Zoning Insights via Amplitude, you’re also automatically tapping into the powerful behavioral tracking, user properties, and real-time cohorts. This means you can filter any zone view by the audience you care about:

  • New vs. returning visitors
  • Paid vs. organic
  • Mobile vs. desktop
  • High-intent browsers vs. VIP customers who downloaded your app

Side-by-side comparisons show you whether the differences you suspect are real and by how much. I discovered this myself while using Zoning Insights to dig into why some users were skipping the insights we deliver on our Session Replay homepage. We implemented a “recent events” module that wasn’t performing well, and a segmented report made it clear that customers who hadn’t generated new events in the last 30 days weren’t clicking it at all. Instead, they were highly engaged with the “commonly saved filters” section of the dashboard, so we’re testing a new layout to give users the information they’re looking for faster.

Turn zone insights into targeted experiences

With Zoning Insights, you can build a cohort directly from any zone interaction. For example, start with all the users who clicked through your testimonials. Now you have a high- intent audience that you know cares about third-party validation, and you can target that cohort with:

  • A web experiment that highlights case studies on your homepage
  • A guide that shows quick testimonials on product pages
  • An email that emphasizes any happy reviews or industry awards

It’s easy to understand how different audiences interact with your website and what makes them tick, and then use that targeting to take immediate action.

Everything from find to fix lives in a single place

Web optimization usually requires context-switching: one tool to find the problem, another to align the team on strategy, and one more to build the experiment. And don’t forget your write-up to explain the performance and targeting inconsistencies.

With Zoning Insights built into Amplitude, the entire optimization loop stays in one platform. The zone view where you spot an underperformer is the same place where you build a cohort, launch a test, and confirm results.

This means that you (and your AI tools) have all of the right information in one place.

Instead of taking a report and figuring out what to do next, just click AI Analysis to see a prioritized list of elements to test with suggestions tailored to your page performance. You can validate a suggestion directly in Amplitude Web Experiment, and then compare the experiment’s performance with your original page in the same Zoning Insights side-by-side view.

Tips to continuously optimize your website

Because tracking, insights, and experimentation all live in Amplitude, Zoning Insights gives you a layer of data-backed intelligence to optimize your web conversion rate. Here’s how to get started:

  1. Set up overlay reports on your highest-traffic pages and create zones to report on your primary conversion metric. Zones connect directly to Amplitude’s behavioral data, so this baseline view updates automatically as your traffic and conversion data flows in (no separate instrumentation required). Want to create zones directly on your website? Unlock our Chrome extension with an advanced Zoning Insights plan!
  2. Review AI element scoring regularly to surface underperformers before they show up in a revenue report. Amplitude scores each element against your actual conversion data, not a generic benchmark, so every recommendation is specific to your audience.
  3. Filter zone views by your Amplitude cohorts, such as returning customers, paid traffic, or high-intent visitors. Because these cohorts live in the same workspace as your zone data, you’re analyzing your actual audience without rebuilding definitions in a separate tool.
  4. Build a cohort from any zone interaction and push it directly into Amplitude Web Experimentation. The audience you identified in the previous step becomes your test segment in this one. Because you’re using the same platform, there’s no translation layer between insight and experiment.

Put together, these steps turn website optimization from a scavenger hunt across tools into a single, continuous loop. So the next time someone asks a “quick question” about website performance, you’ll actually have a quick answer.