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Heap Analytics AI

Retroactive product analytics platform that automatically captures all user interactions. Pricing: Freemium (Free plan available; Growth and Pro plans available). See pros, cons, alternatives, and com

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What is Heap Analytics AI?

Heap Analytics AI is a product analytics platform that automatically records all user interactions on your website or app without requiring manual event configuration. Instead of setting up tracking for specific actions upfront, Heap captures everything and lets you analyse user behaviour retroactively. This approach means you can investigate how users behaved weeks or months ago, even if you didn't think to track those particular actions when you first launched. The platform is designed for product teams, designers, and analysts who want to understand user behaviour quickly without waiting for developers to add tracking code. It works by installing a single tracking snippet, then Heap handles the rest.

Key features

Automatic event capture

Records all clicks, form submissions, page views, and interactions without manual setup

Retroactive analysis

Query and analyse user behaviour from the past, even before you set up specific tracking

Session recording

Watch replays of individual user sessions to see exactly how people interact with your product

Funnel analysis

Visualise drop-off points in user workflows and identify where people abandon processes

Segmentation and cohorts

Group users by behaviour, demographics, or custom properties to compare different audiences

AI-assisted insights

Uses machine learning to surface patterns and anomalies in user behaviour

Pros & cons

Advantages

  • No event instrumentation required; captures data immediately after installation without developer work
  • Retroactive querying means you can answer questions about past user behaviour without waiting for future data collection
  • Session replays provide qualitative insight alongside quantitative metrics
  • Relatively quick implementation compared to traditional analytics platforms

Limitations

  • Automatic capture can create large datasets and higher costs at scale, especially for high-traffic sites
  • Privacy and compliance considerations when capturing all interactions; requires careful configuration to avoid collecting sensitive data

Use cases

Understanding why users drop off during checkout or signup processes

Analysing how changes to a feature affected user behaviour over time

Investigating unexpected patterns in user engagement after an issue is reported

Building product roadmaps based on which features users actually interact with versus which they ignore

Comparing behaviour between different user segments or cohorts

Ready to try Heap Analytics AI?

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Pricing

Free

Free

Up to 1 million tracked events per month; basic analysis and session recording; limited data retention

Growth

Contact for pricing

Higher event limits; advanced segmentation and funnel analysis; extended data retention; AI-powered insights

Pro

Contact for pricing

Enterprise-level event allowances; custom integrations; dedicated support; advanced privacy controls

Get started with Heap Analytics AI

Click through to Heap Analytics AI and start using it now.

Try Heap Analytics AI free
  • Free plan available
  • No credit card