Heap made its name with autocapture – install a snippet, start collecting everything, define events later. It's a powerful approach, especially for teams without dedicated data engineering resources.
But autocapture alone doesn't help you ship better products. Heap doesn't include feature flags, A/B testing, or error tracking, for example; its session replay lacks developer debugging tools, and key features like group analytics require a sales conversation.
If you've outgrown Heap or need more from your analytics stack, this guide compares the best alternatives – whether you want a similar tool or a full platform for building better products.
PostHog (that's us 👋) is an all-in-one platform combining product analytics, error tracking, session replays, web analytics, A/B testing, feature flags, user surveys, LLM observability,logs, and more into one product. This means it's not just an alternative to Heap, but also tools like LaunchDarkly and LogRocket.
Typical PostHog users are engineers and product managers at startups and mid-size companies, particularly B2B companies. Customers include Supabase, Lovable, ElevenLabs, and see all customers.
Product analytics: Funnels, user paths, retention analysis, custom trends, and dynamic user cohorts. Also supports SQL insights for power users.
Session replays: Including event timelines, console logs, and network activity, and 90-day data retention.
Feature flags: Release features to specific users safely with local evaluation (for faster performance) and JSON payloads.
A/B tests: Up to 9 test variations, primary and secondary metrics. Automatically calculate test duration, sample size, and statistical significance.
Surveys: Target surveys by event or person properties. Templates for Net Promoter Score (NPS), product-market fit (PMF) surveys, and more.
Error tracking: Monitor exceptions, stack traces, and crashes – connected directly to session replays, user behavior, and feature flag changes.
Data warehouse to import and query data from external sources like Stripe, Zendesk, Hubspot, or your existing warehouse – analyze business and product data together.
PostHog is the most direct like-for-like alternative to Heap.
Unlike Mixpanel and Amplitude, PostHog supports event autocapture, which means it starts capturing data from the moment you deploy PostHog's code.
You can also create and label events using the PostHog toolbar. This is similar to Heap's visual labeling feature, though it's only supported on web apps.
According to reviews on G2, companies use PostHog because:
It replaces multiple tools: PostHog can replace Heap (product analytics), LaunchDarkly (feature flags and A/B testing), and Hotjar (session replay and surveys). This simplifies workflows and ensures all their data is in one place.
Pricing is transparent and scalable: Reviewers appreciate how PostHog's pricing scales as they grow. There's a generous free tier. Companies eligible for PostHog for Startups also get $50k in additional free credits.
They need a complete picture of users: PostHog includes every tool necessary to understand users and improve products. This means creating funnels to track conversion, watching replays to see where users get stuck, testing solutions with A/B tests, and gathering feedback with user surveys.
Bottom line
PostHog offers product analytics with autocapture, session replay, and a visual labeling tool for creating events. This, combined with additional features like feature flags, A/B testing, and surveys, makes it an excellent like-for-like replacement for Heap.
FullStory describes itself as Digital Experience Intelligence, which is code for session replay and mobile app analytics, with a side of product analytics. Like Heap and PostHog, it supports event autocapture, so you don't have to manually code every event you want to capture.
Session replay: Watch and analyze real user sessions on web and mobile apps.
Product analytics: Understand user paths and struggle points.
Event autocapture: Tagless event capture that ensures all events are tracked.
Heatmaps: Find out where users click and frustration points.
Mobile app analytics: Crash analytics and users path analysis.
FullStory and Heap share a similar feature set – autocapture, product analytics, session replay, and heatmaps – but FullStory leans more toward session replay and user experience debugging, while Heap is stronger on the analytics side with its visual event editor and retroactive event definition.
According to reviews on G2, companies use FullStory for:
Easier collaboration: As an accessible tool for non-technical users, FullStory facilitates collaboration between product, UX, and engineering teams by allowing all teams to access useful, reliable data.
Viewing user issues: Support teams use FullStory to replay sessions to understand user hard to replicate problems, and identify bugs that need fixing.
Improving conversion: FullStory users like to combine funnel insights with replays of user sessions to understand pain points and improve conversion.
Bottom line
FullStory is a good Heap alternative for non-technical teams, particularly customer success and support teams who need to diagnose user problems. It has superior session replay features, though arguably is less focused on analytics use cases than Heap or PostHog.
Glassbox is a session replay and analytics platform with a particular focus on mobile apps and e-commerce use cases. Customers include UK retailer Sainsbury's, Marriott, and Experian.
Unlike Heap, which is mainly used by product managers, G2 suggests Glassbox is predominantly used by business analysts and support teams.
Session replay: Watch and analyze real user sessions on web and mobile apps.
Product analytics: Understand user paths and struggle points.
Performance analytics: Track app performance and their impact on conversion rates.
Click, scroll and heatmaps: Understand where users interact with your app.
User feedback: Gather satisfaction and user feedback on app experience.
Glassbox offers similar core features to Heap, including product analytics with autocapture – Glassbox calls it tagless tracking. It doesn't offer visual labeling tool, however.
According to G2 reviews, customers use Glassbox for:
Session replay and error analysis: Glassbox is best-known for its session replay features, so this is the most popular use case. Customers use Glassbox to analyze user journeys and identify app-breaking bugs.
Heatmap and funnel analysis: Users like the heatmaps feature, which enables them to see user preferences on key pages and use this to visualize user funnels.
Fixing low conversion and abandonment: Glassbox is popular among online retailers, who use it to solve issues around conversion and basket abandonment.
Bottom line
Glassbox is a good Heap alternative for online retailers mostly interested in mobile app analytics and session replay, but SaaS companies should look elsewhere.
Pendo describes itself as a product experience platform. In addition to product analytics, it offers session replay, in-app guides, user feedback, and product validation tools.
Product analytics: Funnels, trends, and retention analysis with event autocapture.
In-app guides: Deliver personalized guidance to customers, directly inside your app.
User feedback: Capture and analyze customer feedback at scale.
Product validation and roadmaps: Plan your product improvements and roadmap using data from Pendo.
Pendo offers similar features to Heap, including event autocapture and session replay. It lacks a visual labeling tool for events, however.
According to G2 reviews, customers use Pendo for:
Customer support and feedback: Users value Pendo as a useful tool for customer support and feedback collection. They use Pendo's feedback features to gather qualitative data, and feed that into Pendo's validation and roadmap features.
Improving onboarding: Combining Pendo's in-app guides and analytics features makes it easy for non-technical users to experiment with new onboarding flows, improving user adoption.
Product planning: Customers to use Pendo's data tools, product validation, and roadmap features to align internal teams and stakeholders on product development.
Bottom line
Pendo is similar to Heap in many ways. It's primarily designed for non-technical users, and supports event autocapture, making it viable alternative for product teams.
Mixpanel is one of the most popular product analytics tools on the market. Founded in 2009, it previously narrowed its focus to analytics alone, but has since expanded again – adding session replay, heatmaps, A/B testing (Enterprise), and feature flags in recent years.
Product analytics: Track user behavior, trends, and retention
Collaborative notebooks: Create analysis in notebooks and collaborate with colleagues
Anomaly detection: Get automated alerts when metrics fall outside a positive or negative range
Filtered data views: Hide and filter data on a per-team basis to reduce noise
Mixpanel and Heap are similar in many ways. They're both used mainly by product managers and offer product analytics. Mixpanel has closed the gap in recent years by adding session replay, heatmaps, A/B testing, and feature flags.
The key remaining difference is autocapture: Heap records everything from day one and lets you define events retroactively, while Mixpanel supports autocapture but relies more on manual event instrumentation for deeper tracking.
Eliminate need for data analysts: Reviewers on G2 note Mixpanel helps them structure large volumes of data, and make data-driven decisions, reducing their reliance on dedicated data analysts to produce insights.
Campaign targeting and tracking: Marketing users appreciate the ability to create user segments and target specific users, enabling more personalized campaigns and improved user engagement.
Understanding user behavior: In common with most analytics tools, Mixpanel's users mostly want to understand user behavior, identify bottlenecks, and monitor core metrics like conversion rates, activation, and retention.
Bottom line
Mixpanel is a strong Heap alternative with a mature analytics feature set and recent additions like session replay, heatmaps, and A/B testing. The main trade-off is autocapture depth – if your team relies on retroactive event definition without engineering support, Heap still has the edge.
Amplitude is an analytics and testing tool with a particular focus on large enterprise customers, like Ford, NBCUniversal, and Walmart.
Product analytics: Funnel and retention analysis, user paths, behavioral cohorts, custom dashboards, and more.
A/B testing: Support for JSON payloads, primary, secondary, and counter metrics.
Customer data platform: Combine analytics data with third-party tools for data governance, identity resolution, and data federation.
AI insight builder: Generate insights based on natural language requests, like "What is my purchase conversion rate?".
Amplitude and Heap are both mature product analytics platforms, but they've evolved in different directions.
While they overlap on core analytics, session replay, and heatmaps, Amplitude skews enterprise with warehouse-native analytics, built-in experimentation, and a CDP. Heap's edge is autocapture depth: it records everything from day one and lets you define events retroactively without code. Amplitude is better for large teams with data engineers; Heap is more accessible to self-serve product managers.
Reducing load on data teams: Amplitude is designed to enable non-technical users to self-serve analytics. Amplitude cites NBCUniversal as a company that's benefited from its data team spending less time responding to requests for analysis.
Large-scale experimentation: Unlike Mixpanel, Amplitude offers built-in experimentation features. This enables companies to run experiments on users using existing cohorts created in Amplitude.
Resolving data quality problems: Companies that use Amplitude, particularly large ones, often migrate from outdated, self-built, tools that generate poor quality data. Amplitude helps them fix that while making analytics more accessible.
Bottom line
Amplitude is a strong Heap alternative for enterprise teams, especially those wanting warehouse-native analytics, mature experimentation, and a built-in CDP. The main trade-off is autocapture – if your team relies on retroactive event definition without engineering effort, Heap is the better choice.
Google Analytics 4 (GA4) is a marketing and product analytics tool that's tightly integrated with other Google products, such as Ads, BigQuery, Looker Studio, and Firebase.
Unlike its predecessor, Universal Analytics (GA3), it's event-based. It also introduces new report types, such as conversion funnels and retention tables. This makes it more useful to product teams than before.
Predictive insights alert you to trends you're not aware of, like an increase in traffic to a specific landing page, or an anomalous decline in conversion from one period to another.
Integration with Google tools means it's easy to analyze your GA4 data elsewhere, such as Google's dashboarding tool, Looker Studio.
Natural language search means you can ask specific questions, like "MoM growth in users on iOS", rather searching existing reports.
GA4 supports event autocapture (calling it "enhanced measurement"), but it' less comprehensive than Heap's – covering scrolls, outbound clicks, and file downloads rather than every interaction. The bigger difference is focus: GA4 is a marketing and web analytics tool built around the Google ecosystem, while Heap is a product analytics tool built for understanding in-product user behavior.
Because it's Google: It's not an original reason, but it holds true. Using Google Analytics makes a lot of sense for teams who rely on other Google platforms, like Google Ads and BigQuery.
It's powerful and free: Likewise, Google's scale means GA4 is completely free to most small and medium-sized businesses. This, combined with strong analytical tools and the large ecosystem of GA experts to call upon, makes it a safe choice.
To track marketing ROI: GA4 is predominantly used by marketing and e-commerce teams to track campaign ROI. It's also popular among large content publishers for its scalability.
Bottom line
Until recently, Google Analytics wasn't a viable Heap alternative. The launch of GA4 changed this, but switching from Heap to Google only makes sense if you're keen to integrate deeper into Google's ecosystem of data tools, like BigQuery and Looker Studio.
Here's the (short) sales pitch.
We're biased, obviously, but we think PostHog is the perfect Heap replacement if:
It's completely free to get started – no credit card required. Our setup wizard handles configuration in minutes, or you can check out our docs to do it yourself.
Heap is a product analytics platform known for comprehensive autocapture. It automatically records clicks, pageviews, form submissions, and other user interactions from the moment you install it, letting you define and analyze events retroactively without engineering support. It also includes session replay and heatmaps, and is now part of Contentsquare.
Common reasons include: needing feature flags, A/B testing, or error tracking that Heap doesn't offer natively; wanting developer debugging tools like console logs and DOM inspection in session replay; needing transparent, self-serve pricing (Heap's higher tiers require sales conversations); wanting EU data residency (Heap doesn't currently offer this); or looking for an open-source platform with SQL access.
For most teams, PostHog is the best alternative. It's the only tool on this list that matches Heap's autocapture while also including feature flags, A/B testing, surveys, error tracking, LLM observability, and a built-in data warehouse – all with a generous free tier.
PostHog, FullStory, Glassbox, Pendo, and GA4 all support some form of autocapture. PostHog and FullStory are the closest to Heap's approach – both start recording interactions immediately. GA4's "enhanced measurement" is more limited, covering basic interactions like scrolls and outbound clicks. Mixpanel and Amplitude support autocapture but rely more on manual instrumentation for deeper tracking.
PostHog is the only open-source Heap alternative on this list; its code is publicly available on GitHub. All other tools listed – FullStory, Glassbox, Pendo, Mixpanel, Amplitude, and GA4 – are closed-source. See our guide to the best open-source analytics tools for more options.
PostHog offers the most generous free tier: 1 million events, 5,000 session replays, and 1 million feature flag requests per month – with no credit card required. GA4 is free for up to 10 million events but has limited product analytics. FullStory's free plan includes 30,000 sessions with 12 months of retention. Mixpanel offers 1 million events free. Heap's free tier is limited to 10,000 sessions.
No. Heap doesn't offer native feature flags or experimentation. You'd need a separate tool like LaunchDarkly, Optimizely, or PostHog. PostHog includes both feature flags and A/B testing natively, tightly integrated with analytics so you can measure experiment impact on funnels, retention, and revenue.
No. Heap doesn't offer error tracking or crash monitoring. If you need to monitor exceptions alongside your analytics, you'd need a separate tool like Sentry or Bugsnag. PostHog includes native error tracking that connects exceptions and stack traces directly to session replays, user behavior, and feature flag changes.
Contentsquare completed its acquisition of Heap in December 2023. Heap's product analytics features have been integrated into Contentsquare's broader experience intelligence platform, alongside Hotjar. Heap continues to operate as a product, but its roadmap is now shaped by Contentsquare's enterprise and ecommerce focus.
Yes. See the Heap to PostHog migration guide for step-by-step instructions on exporting your Heap data and importing it into PostHog, including historical events and user properties.
Yes. PostHog includes web analytics for tracking pageviews, bounce rate, traffic sources, and UTM campaigns. You can integrate it using Google Tag Manager. See the PostHog vs GA4 comparison and intro for Google Analytics users for more.
Yes. PostHog offers EU-hosted cloud with data stored exclusively in the EU. PostHog is also SOC 2 certified, GDPR-ready, and HIPAA-ready.
Amplitude and Mixpanel offer similar product analytics features to Heap but take different approaches. Amplitude skews enterprise with warehouse-native analytics, a built-in CDP, and mature experimentation. Mixpanel is more self-serve with polished analytics and recent additions like session replay and heatmaps. PostHog goes further with feature flags, error tracking, LLM observability, and surveys in one platform. Read the PostHog vs Mixpanel and PostHog vs Amplitude comparisons for details.
The top product analytics tools in 2026 include:
For detailed comparisons, see our guides to Mixpanel alternatives, Amplitude alternatives, and Plausible alternatives.
Subscribe to our newsletter
Read by 100,000+ founders and builders
We'll share your email with Substack
此内容由惯性聚合(RSS阅读器)自动聚合整理，仅供阅读参考。 原文来自 — 版权归原作者所有。
