# Heap Canonical: https://slateindex.ai/products/heap By Heap. Automatic event tracking for product analytics Updated: 2026-07-15T14:50:04.485565+00:00 ## Product overview Heap is a product analytics and web analytics platform designed for teams that want reliable behavioral data without building and maintaining a heavy tracking plan. Its core appeal is automatic capture: Heap says it can collect clicks, pageviews, form fills, journeys, and other user interactions so teams can start analyzing much sooner and revisit questions later with retroactive analysis. That makes it a strong fit for product, marketing, and data teams that care about conversion, activation, retention, and user experience, especially when they need faster answers and less dependency on engineering. Beyond capture, Heap brings analysis and context into the same workflow. The product positions charts, dashboards, funnels, journeys, retention, session replay, and heatmaps as part of a broader experience intelligence stack, helping teams move from a metric to the specific user behavior behind it. For organizations that also need governance, Heap includes privacy, admin, and integration features such as SSO, compliance controls, warehouse sync, and advanced permissions on higher plans. The result is a platform aimed at teams that want more than basic traffic reporting and are looking for a complete behavioral analytics system that can scale with them. Heap is a web analytics and product analytics platform built to automatically capture user interactions across websites and apps, so teams can analyze behavior without planning every event upfront. It fits buyers who want faster access to trustworthy behavioral data, retroactive analysis, and a tool that combines autocapture, dashboards, funnels, journeys, session replay, and governance in one place. ## TL;DR - Automatically captures clicks, pageviews, form fills, sessions, and journeys, reducing manual instrumentation work. - Supports retroactive analysis so teams can answer questions after the fact without rewriting tracking plans. - Includes product analytics capabilities such as funnels, journeys, retention, dashboards, and session replay. - Offers a free tier and paid plans that scale by session volume, with enterprise features like data warehouse integration and advanced permissions. - Commonly compared with tools like Mixpanel, Amplitude, Google Analytics, and Woopra when teams want easier setup and broader behavioral context. ## Feature catalog ### Automatic capture and retroactive analysis Heap’s core value is automatic event capture combined with the ability to analyze past behavior after the data has already been collected. The platform says it automatically captures every click, pageview, formfill, session replay, and journey, which reduces the need for preplanned tracking. Buyers evaluating product analytics tools often care about whether they can move quickly without waiting on engineering, and Heap positions itself around that need. It also emphasizes lookback and retroactive analysis so teams can revisit missing behaviors and answer new questions later. - Autocapture: Heap automatically captures user interactions so teams do not need to define every event before collecting data. Its website says a single snippet automatically captures the entire digital experience of every user on every platform, and its compare page says it captures clicks, pageviews, formfills, session replay, and journeys. - Retroactive analysis: Heap is designed for lookback analysis, letting teams retrieve missing behaviors after the fact. The compare page says you do not need to pre-plan questions and can roll back time to retrieve missing behaviors retroactively, which helps teams explore new hypotheses without rebuilding instrumentation. ### Analysis, visualization, and context Heap combines behavioral analytics with visualization tools that help teams understand how users move through products and where friction occurs. Its product pages describe funnels, journeys, retention, dashboards, charts, heatmaps, session replay, and engagement analysis as part of the platform. The company also highlights data science capabilities that surface hidden opportunities and point teams toward what to fix. This makes it relevant for teams that want both quantitative analysis and visual context in the same workflow. - Funnels, journeys, and retention analysis: Heap includes funnels, journeys, retention, and influence analysis to help teams understand flow, dropoff, and correlated behaviors. The compare page says the tool lets teams set up funnels to understand user flow and dropoff, and the website describes data science that shows alternate paths and the events most correlated with conversion and retention. - Session replay and heatmaps: Heap provides integrated session replay and heatmaps for visual context around user behavior. The website says session replay helps teams get full context on user actions, while the pricing page lists Heatmaps and Session Replay as add-ons on some plans. - Dashboards and charts: Heap offers out-of-the-box charts, dashboards, and visualization tools for tracking trends over time. The compare page highlights easy-to-use, automated insights and granular out-of-box charts, and the pricing page includes analytics charts, insights dashboards, and chart customization on paid tiers. ### Governance, integrations, and enterprise controls Heap presents itself as more than a tracking layer by including governance, privacy, and administration features that matter as usage expands. The pricing page lists SSO, GDPR and CCPA compliance, SOC-2 certification, data privacy controls, custom permissions, audit logs, SCIM, and region-specific storage on higher tiers. It also includes integrations and warehouse connectivity, which are useful for teams that need to operationalize analytics across the rest of their stack. These capabilities make Heap more suitable for organizations that need cleaner data handling and stronger access controls. - Data governance and privacy: Heap includes visual event labeling, custom event properties, definition history, live event data feed, shared spaces, personal spaces, and compliance controls. The pricing page also lists GDPR compliant, CCPA compliant, SOC-2 certified, data privacy controls, and user privacy API across plans. - Integrations and warehouse sync: Heap supports APIs, enrichment sources, and integrations, and it offers Heap Connect to send data directly to a warehouse. The pricing page says warehouse sync is automatic and retroactive, and the product site says there are over 100 integrations available. - Security and administration: Heap includes SSO on all plans and adds advanced administrative controls on Premier, including unlimited projects, custom user permissions, audit logs, and SCIM. These controls are aimed at larger organizations that need to manage multiple teams, projects, and access policies more tightly. ## Target market ### Teams and use cases - Product teams that need automatic behavioral data collection and faster access to funnel, journey, and retention insights. - Marketing teams that want to understand conversion, activation, and acquisition performance. - Data teams that need governed behavioral data without extensive manual instrumentation. - Organizations comparing web analytics and product analytics platforms for broader user-interaction visibility. ### Company sizes - Free and small teams using the Free plan. - Growth-stage companies that need expanded history, exports, and support. - Large organizations that need unlimited projects, advanced permissions, and dedicated customer success. ### Industries - SaaS - Retail and eCommerce - Healthcare - Financial services ### Poor-fit caveats - Teams that only need simple traffic reporting may not need Heap’s broader product analytics feature set. - Organizations seeking the lowest-cost option may find Heap’s paid tiers or add-ons less attractive than simpler tools. - Large enterprises with highly specialized, complicated analysis needs may prefer a more full-featured enterprise platform. ## Buyer personas ### Product manager Owns feature adoption, conversion, retention, and product experimentation. **Buying triggers** - Need to reduce reliance on engineering for event instrumentation. - Need to diagnose funnel dropoff or understand user flows. - Need to measure activation and retention more quickly. ### Marketing leader Uses behavioral data to improve acquisition efficiency and conversion performance. **Buying triggers** - Need to identify which channels bring in the most visitors. - Need to understand what drives conversion or long-term retention. - Need to connect product behavior to campaign performance. ### Data or analytics lead Responsible for keeping behavioral data organized, trusted, and usable across teams. **Buying triggers** - Need governed analytics with consistent definitions and access controls. - Need to sync product data to a warehouse or other systems. - Need to support multiple stakeholders without constant manual rewiring. ## About the company Heap is a product analytics and web analytics platform that automatically captures user interactions and helps teams analyze behavior across web and mobile experiences. The company says it has joined forces with Contentsquare, and its site positions Heap as part of an experience intelligence platform focused on conversion, retention, customer delight, and faster insights. - Verified fact: The product site says Heap is used by over 10,000 companies. - Verified fact: The products navigation links to customers and stories from over 9,000 successful companies. - Verified fact: The pricing page shows a Free plan, Growth, Pro, and Premier tiers. - Limitation: The official pricing page says some enterprise capabilities, add-ons, and support options depend on tier or custom contact with sales. - Limitation: Some features such as Session Replay and Heatmaps are add-ons on certain plans. - Limitation: Public pricing is session-based, so total cost varies with usage. ## Competitive landscape Heap competes in the web analytics and product analytics market against tools such as Mixpanel, Amplitude, Google Analytics, Adobe Analytics, PostHog, Woopra, Matomo, Piwik PRO, Hotjar, and Plausible. The clearest differentiation in the supplied material is Heap’s autocapture, retroactive analysis, and integrated session replay, which it presents as reducing manual setup and helping teams get to insights faster. - Mixpanel - Amplitude - Google Analytics - Adobe Analytics - PostHog - Woopra - Matomo - Piwik PRO - Hotjar - Plausible ## AI visibility dashboard | Assistant | Visibility | |---|---| | all | 49.9 | | chatgpt | 30.9 | | claude | 73.5 | | perplexity | 42.4 | | gemini | 52.6 | ## Sources AI trusts - hubspot.com (126) - salesforce.com (81) - activecampaign.com (70) - adobe.com (58) - matomo.org (50) - pipedrive.com (39) - zoho.com (39) - piwik.pro (35) - nimble.com (34) - oracle.com (34) - microsoft.com (22) - g2.com (21) - google.com (21) - youtube.com (21) - braze.com (20) - klaviyo.com (20) - sugarcrm.com (20) - hotjar.com (19) - mixpanel.com (15) - woopra.com (15) ## Real AI answers ### perplexity Question: How does this tool integrate with Salesforce or HubSpot CRM? Answer: ActiveCampaign offers native integrations with both Salesforce and HubSpot CRM, allowing data synchronization and automated lead nurturing . For Salesforce, you install the ActiveCampaign app, add your API key, and map custom fields . For HubSpot, connect via the App Marketplace by installing the official ActiveCampaign integration and entering your API credentials . HubSpot Marketing Hub is inherently integrated with HubSpot CRM as part of the same platform, while Salesforce Marketing Cloud integrates natively with Salesforce CRM . ### perplexity Answer: ActiveCampaign offers native integrations with both Salesforce and HubSpot CRM, allowing bidirectional data sync via API keys or the App Marketplace . HubSpot Marketing Hub is inherently integrated with HubSpot CRM as part of the same platform, while also supporting Salesforce via native or third-party connectors . Mailchimp, Klaviyo, and Brevo also provide robust integrations with both CRMs through native apps or Zapier . ### chatgpt Question: Which web analytics tools are alternatives to Google Analytics? Answer: Strong Google Analytics alternatives from the roster include Matomo, Piwik PRO, Plausible, Fathom Analytics, PostHog, Mixpanel, Adobe Analytics, Microsoft Clarity, Simple Analytics, Umami, Pirsch, Heap, Amplitude, Hotjar, Clicky, and Open Web Analytics. Matomo and Piwik PRO are closest to GA-style web analytics; Plausible, Fathom, Simple Analytics, Umami, Pirsch, and Swetrix are popular privacy-focused options; Adobe Analytics, Mixpanel, Heap, Amplitude, and PostHog cover deeper product analytics; Microsoft Clarity and Hotjar add behavior analytics. Source pages from these vendors describe them as analytics tools or GA alternatives. ### claude Answer: Top alternatives to Google Analytics include Matomo and Piwik PRO for privacy-focused, self-hosted options; Adobe Analytics for enterprise-level insights; Mixpanel, Amplitude, and Heap for product analytics with event tracking; Plausible, Fathom Analytics, and Simple Analytics for lightweight, privacy-first solutions; Hotjar for behavior analytics with heatmaps; Clicky for real-time analytics; PostHog for open-source product analytics; and Microsoft Clarity as a free heatmap tool. For customer journey tracking, consider Woopra. Privacy-conscious alternatives like Umami, Pirsch, and Swetrix are gaining traction. Enterprise users may explore Adobe Analytics or Amplitude for advanced segmentation. ## AI consensus Heap’s reviews point to a clear pattern: buyers like how quickly the platform gets them from installation to usable insight, but they also call out areas where the product asks teams to do more work than they expected. In the supplied sources, Heap is repeatedly praised for automatic data capture, easy onboarding, and dashboards that let product and marketing teams explore behavior without filing every request through engineering. That makes it especially appealing for organizations that want to move fast and answer questions as they come up. The same documents also show the tradeoffs buyers should keep in mind. Reviewers mention that Heap can be hard to learn, that event discoverability and taxonomy can become frustrating, and that pricing may feel opaque or expensive as needs grow. If your team needs a tightly governed analytics stack with highly predictable cost structure, those concerns matter. If your priority is speed, flexibility, and less manual instrumentation, Heap’s reviews suggest it can be a strong fit. Across the review pages and pricing details provided here, Heap appears to be a product that wins on convenience and accessibility, especially for mid-size teams and self-serve use cases. It is not presented as friction-free, though: the more advanced the organization’s needs become, the more important setup discipline, pricing review, and event management become. In other words, Heap looks best when the buyer values fast insight more than strict upfront control. ## Pricing Heap’s pricing is built around session volume, which makes it easier to start small and scale as traffic grows. The public pricing page shows a free plan, a Growth plan with a published annual starting price, and Pro and Premier plans that require contacting sales for custom pricing. That means Heap is designed for buyers who want a low-friction entry point first, then a sales-assisted path once their usage, governance needs, or team size outgrow the self-serve tiers. The Free plan is a straightforward way to test the platform with up to 10k monthly sessions and the essentials for product analytics. Growth adds broader team usage, more history, exports, and email support, while Pro and Premier unlock more advanced analytics, governance, storage, and support options. Some capabilities are not bundled into every tier, either showing up as add-ons or appearing only in higher plans, so the actual budget can depend on whether you need session replay, connect/activate capabilities, or more environments. If your organization expects traffic growth, multiple products, or stricter administration requirements, Heap’s pricing structure suggests planning for a tier upgrade rather than assuming the base plan will hold indefinitely. Visibility score: 49.9 Mention rate: 59.4% Eligible runs: 32 ## Category rankings | Category | Rank | Visibility | |---|---|---| | Web Analytics | 9 | 49.9 | ## Citation domains - matomo.org (1) - piwik.pro (1) - plausible.io (1) - usefathom.com (1) - posthog.com (1) Enriched at: 2026-07-15T14:50:04.485565+00:00 ## Sources - Source: https://www.heap.io/compare - Source: https://www.heap.io/ - Source: https://www.heap.io/pricing - Source: https://www.heap.io/topics/what-is-product-analytics - Source: https://www.trustradius.com/products/heap/pricing - Source: https://www.trustradius.com/compare-products/heap-vs-indicative - Source: https://www.trustradius.com/compare-products/heap-vs-woopra - Source: https://www.trustradius.com/products/heap/reviews/all?industry=finance-and-insurance Use with attribution: "Source: Slate Index".