Unlock 2025 Benchmark data → Access insights to stay ahead in the digital experience race.

Get the Report
skip to content
Loading...
    • Why Product Analytics And what can it do for you?
    • How Heap Works A video guide
    • How Heap Compares Heap vs. competitors
    • Product Analytics + Digital Experience Analytics A deeper dive
    • The Future of Insights A comic book guide
    Watch a Demo
  • Data Insights

    • Journeys Visual maps of all user flows
    • Sense AI Analytics for everyone
    • Web Analytics Integrate key web metrics
    • Session Replay Complete context with a single click
    • Heatmaps Visualize user behavior instantly
    • Heap Illuminate Data science that pinpoints unknown friction

    Data Analysis

    • Segments User cohorts for actionable insights
    • Dashboards Share insights on critical metrics
    • Charts Analyze everything about your users
    • Playbooks Plug-and-play templates and analyses

    Data Foundation

    • Capture Automatic event tracking and apis
    • Mobile Track and analyze your users across devices
    • Enrichment Add context to your data
    • Integrations Connect bi-directionally to other tools

    Data Management

    • Governance Keep data clean and trusted
    • Security & Privacy Security and compliance made simple
    • Infrastructure How we build for scale
    • Heap Connect Send Heap data directly to your warehouse
  • Solutions

    • Funnel Optimization Improve conversion in user flows
    • Product Adoption Maximize adoption across your site
    • User Behavior Understand what your users do
    • Product Led Growth Manage PLG with data

    Industries

    • SaaS Easily improve acquisition, retention, and expansion
    • Retail and eComm Increase purchases and order value
    • Healthcare Build better digital patient experiences
    • Financial Services Raise share of wallet and LTV

    Heap For Teams

    • Product Teams Optimize product activation, conversion and retention
    • Marketing Teams Optimize acquisition performance and costs
    • Data Teams Optimize behavioral data without code
  • Pricing
  • Support

    • Heap University Video Tutorials
    • Help Center How to use Heap
    • Heap Plays Tactical how-to guides
    • Professional Services

    Resources

    • Down the Funnel Our complete blog and content library
    • Webinars & Events Events and webinar recordings
    • Press News from and about Heap
    • Careers Join us

    Ecosystem

    • Customer Community Join the conversation
    • Partners Technology and Solutions Partners
    • Developers
    • Customers Stories from over 9,000 successful companies
  • Free TrialRequest Demo
  • Log In
  • Free Trial
  • Request Demo
  • Log In

All Blogs

Introducing Heap's engagement analysis: the easiest way to decipher patterns in user behavior

August 8, 20233 min read
  • Facebook
  • Twitter
  • LinkedIn

As a Product Manager or Analyst, you're on a perpetual quest to understand the usage of features in your product or service. Your mission is as critical as it is challenging - to gauge the success of new features or changes and their impact on the user experience.

By understanding how different users engage with various features in your product, you can make smarter product decisions that resonate with your users and propel your business. 

You need to be able to answer questions like:

  • How successful was the rollout of our latest feature?

  • Are there any underutilized features that we should consider sunsetting?

  • Which features are most used by our premium user segment?

But doing that is easier said than done. Typically you have to juggle multiple tools and dig through a bunch of ad hoc queries. At that point, you can only guess how your features are performing against each other. 

Shouldn’t there be a more straightforward solution?

Now there is. 

With Heap’s new engagement analysis, you get a new streamlined approach to feature analysis. Easily map how often users interact with different parts of your product. In just a few clicks, get a clear picture of which features are popular and patterns in usage.

What can you do with engagement analysis?

Engagement analysis gives Product Managers, Analysts, and anyone else running queries a fresh way to look at feature use. It doesn't just simplify the process; it upgrades how you approach feature analysis. 

Let’s take a closer look at how you can use engagement analysis.

Compare engagement across features

Engagement Analysis Screenshot 3

Heap's feature engagement analysis works like a custom dashboard for understanding engagement. It allows you to assess new features or changes using detailed metrics and compare them easily to other features. The module simplifies comparison, giving you data-driven insights to plan future releases. No more writing multiple queries to see how different features perform.

Dive deep into segment exploration

Using the feature engagement analysis, you can compare usage across different groups or properties. It's like having a magnifying glass to study your target customers' behavior.

Asses product health holistically

Engagement Analysis Screenshot 2

With the overview feature of Heap's engagement analysis module, you can see the health of your entire product portfolio in one place, visualized as a scatter plot. This equips you to compare features and understand where your events sit relative to all events on a more comprehensive scale.

Analyze feature performance effectively

Engagement Analysis Screenshot

With our simple-to-use scatter plot, the engagement analysis module's 'Low Users, Low Event Count' section makes it easy to spot underperforming or outdated features. This makes it easy to decide on which features to remove. 

Conversely, the 'High Users, High Event Count' section gives instant insight into what's successful so anyone can understand what’s working. With that knowledge, you can prioritize the most critical optimizations for your product.

Share insights with ease

If you want to build a data-driven culture in your org, you have to be able to share insights easily. That’s why Heap’s engagement analysis makes it easy to save charts to dashboards or export them to CSVs. Collaborate with others in your analysis or share high-level learnings with your leadership team seamlessly.

Interpret data efficiently with table view

Engagement Analysis Screenshot: Table View

Beyond just powerful data visuals, Heap's engagement analysis module offers a clear table view. This lets you quickly compare events, showing how many users complete each event and how often they do it. The table view keeps things simple by showing raw numbers, demonstrating how users engage with different features.

Putting the engagement analysis module to work

The engagement analysis module empowers you to unpack crucial details about how users interact with your product. 

You can answer questions like:

  • How does feature engagement differ between our new and returning users?

  • Can I get an overview of the health of all features across our product portfolio in a single view?

  • Are there any noticeable behavior patterns tied to certain features?

  • What's the ratio of active users to the frequency of feature usage?

  • What's the best way to share these insights with the rest of my team?

With Heap's engagement analysis module, you can answer these questions and get deeper insights that help shape your product plans.

The takeaway

You don’t have to struggle to understand how your users engage with your features. With engagement analysis, Product Managers, Analysts, and anyone else running queries get a fresh way to look at feature usage. It doesn't just simplify the process; it upgrades how you approach feature analysis. 

It's time to tap into your data's potential with engagement analysis. The power is in your hands – seize it now so you can invest smarter and build a product that your users truly love.

Was this helpful?
PreviousNext

See engagement analysis in action

Start a free trial today to see exactly how your users are engaging with your features or contact our sales team for a personalized demo.

Free TrialContact Sales

Related Stories

See All

  • Creative visualization of AI CoPilot capability
    article

    Heap announces new generative AI CoPilot

    Heap, the leader in product analytics, unveils AI CoPilot’s open beta today.

  • Heap.io
    article

    What’s Next in Experience Analytics?

    What does the future of analytics hold, and what does it mean for you?

  • Heap.io
    article

    Building a Retention Strategy, Part 2: Connecting Activities to Revenue with a Metrics Tree

    If you read one post from this series, it should be this one.

Better insights. Faster.

Request Demo
  • Platform
  • Capture
  • Enrichment
  • Integrations
  • Governance
  • Security & Privacy
  • Infrastructure
  • Heap Illuminate
  • Segments
  • Charts
  • Dashboards
  • Playbooks
  • Use Cases
  • Funnel Optimization
  • Product Adoption
  • User Behavior
  • Product Led Growth
  • Customer 360
  • SaaS
  • Retail and eComm
  • Financial Services
  • Why Heap
  • Why Product Analytics
  • How Heap Works
  • How Heap Compares
  • ROI Calculator
  • The Future of Insights
  • Resources
  • Blog
  • Content Library
  • Events
  • Topics
  • Heap University
  • Community
  • Professional Services
  • Company
  • About
  • Partners
  • Press
  • Careers
  • Customers
  • DEI
  • Support
  • Request Demo
  • Help Center
  • Contact Us
  • Pricing
  • Social
    • Twitter
    • Facebook
    • LinkedIn
    • YouTube

© 2025 Heap Inc. All Rights Reserved.

  • Legal
  • Privacy Policy
  • Status
  • Trust