{"id":116549,"date":"2025-12-01T04:54:08","date_gmt":"2025-12-01T04:54:08","guid":{"rendered":"https:\/\/userpilot.com\/blog\/heap-analytics\/"},"modified":"2026-03-19T14:44:10","modified_gmt":"2026-03-19T14:44:10","slug":"heap-analytics","status":"publish","type":"post","link":"https:\/\/userpilot.com\/blog\/heap-analytics\/","title":{"rendered":"Understanding Heap Analytics: Where It Excels &#038; Where It Falls Short"},"content":{"rendered":"<p data-pm-slice=\"1 1 []\"><span data-color=\"transparent\">Product teams looking for <\/span><a href=\"https:\/\/userpilot.com\/product\/product-analytics\/\" target=\"_blank\" rel=\"noopener noreferrer\"><span data-color=\"transparent\">analytics software<\/span><\/a><span data-color=\"transparent\"> often encounter Heap analytics and its promise of automatic data capture. The model eliminates traditional tracking hurdles, but it also changes how teams handle data, maintain event clarity, and collaborate across functions.<\/span><\/p>\n<p><span data-color=\"transparent\">I\u2019ll break down how Heap works, the benefits and limitations of its features, and the scenarios where they fit well. I\u2019ll also explain where alternative tools will serve you better.<\/span><\/p>\n<h2 data-pm-slice=\"1 1 []\"><span data-color=\"transparent\">What is Heap analytics?\u00a0<\/span><\/h2>\n<p><span data-color=\"transparent\">Heap analytics is a digital insights platform that collects and <\/span><a href=\"https:\/\/userpilot.com\/blog\/user-behavior-tracking\/\" target=\"_blank\" rel=\"noopener noreferrer\"><span data-color=\"transparent\">analyzes user behavior<\/span><\/a><span data-color=\"transparent\"> across web and mobile applications.\u00a0<\/span><\/p>\n<figure id=\"attachment_515828\" aria-describedby=\"caption-attachment-515828\" style=\"width: 1100px\" class=\"wp-caption alignnone\"><a href=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2023\/11\/Heap-product-analytics-dashboard.gif\"><img decoding=\"async\" class=\"size-full wp-image-515828\" src=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2023\/11\/Heap-product-analytics-dashboard.gif\" alt=\"Heap's product analytics dashboard. \u00a0\" width=\"1100\" height=\"604\" \/><\/a><figcaption id=\"caption-attachment-515828\" class=\"wp-caption-text\">Heap&#8217;s product analytics dashboard.<\/figcaption><\/figure>\n<p data-pm-slice=\"1 3 []\"><span data-color=\"transparent\">Teams turn to it because it positions itself as the only digital insights platform focused on giving <\/span><a href=\"https:\/\/userpilot.com\/blog\/what-is-a-product-manager\/\" target=\"_blank\" rel=\"noopener noreferrer\"><span data-color=\"transparent\">product managers<\/span><\/a><span data-color=\"transparent\"> a complete picture of how users move through each stage of the customer journey. <\/span><\/p>\n<p>So, how does Heap work?<\/p>\n<p><span data-color=\"transparent\">Most <\/span><a href=\"https:\/\/userpilot.com\/blog\/user-analytics-tools\/\" target=\"_blank\" rel=\"noopener noreferrer\"><span data-color=\"transparent\">analytics tools<\/span><\/a><span data-color=\"transparent\"> rely on a precision tracking model: teams decide in advance which events matter, then ask a developer to place tracking code on each element. <\/span><\/p>\n<p><span data-color=\"transparent\">Heap follows a different method. After you add the installation code, a single snippet automatically captures clicks, form inputs, taps, swipes, pageviews, and other user interactions to form one of the most complete datasets available for product behavior analysis.<\/span><\/p>\n<p><span data-color=\"transparent\">You can later define events on top of this historical data and run <a href=\"https:\/\/userpilot.com\/blog\/retroactive-analysis\/\">retroactive analysis<\/a> through funnels, cohorts, or <\/span><a href=\"https:\/\/userpilot.com\/blog\/how-to-analyze-the-customer-journey\/\" target=\"_blank\" rel=\"noopener noreferrer\"><span data-color=\"transparent\">user journey<\/span><\/a><span data-color=\"transparent\"> reports without having predicted every question ahead of time.<\/span><\/p>\n<h2><span data-color=\"transparent\">Key features of Heap analytics\u00a0<\/span><\/h2>\n<p>The platform offers a suite of tools and advanced capabilities that help teams move from surface-level metrics<span data-color=\"transparent\"> to a clearer picture of how people actually use a product. Let&#8217;s discuss some of them.\u00a0<\/span><\/p>\n<ul>\n<li><strong><span data-color=\"transparent\">No-code event tagging:<\/span><\/strong><span data-color=\"transparent\"> Heap&#8217;s visual labeler gives non-technical teams a direct way to create structured <\/span><a href=\"https:\/\/userpilot.com\/blog\/in-app-events\/\" target=\"_blank\" rel=\"noopener noreferrer\"><span data-color=\"transparent\">in-app events<\/span><\/a><span data-color=\"transparent\">. <\/span>This reduces engineering dependence, minimizes the engineering needed for routine instrumentation, and helps your team adjust tracking with less friction.<\/li>\n<li><strong><span data-color=\"transparent\">User <a href=\"https:\/\/userpilot.com\/blog\/journey-mapping\/\">journey mapping<\/a>:<\/span><\/strong><span data-color=\"transparent\"> Many analytics tools I\u2019ve used stop at <\/span><a href=\"https:\/\/userpilot.com\/blog\/funnel-tracking\/\" target=\"_blank\" rel=\"noopener noreferrer\"><span data-color=\"transparent\">funnel tracking<\/span><\/a><span data-color=\"transparent\">, showing how users move from point A to point B. However, Heap takes it a step further by analyzing entire journeys. Instead of viewing behavior as a single path, you see the full sequence of actions that lead users through your product, revealing side routes and unexpected patterns that influence conversion rates <\/span>and shape the broader sales funnel<span data-color=\"transparent\">.\u00a0\u00a0\u00a0\u00a0<\/span><\/li>\n<\/ul>\n<figure id=\"attachment_515846\" aria-describedby=\"caption-attachment-515846\" style=\"width: 980px\" class=\"wp-caption alignnone\"><a href=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2023\/11\/session-limited-journeys-heap-analytics_9f4ade8805966a1eb70c4147f98de455_2000.png\"><img decoding=\"async\" class=\"size-full wp-image-515846\" src=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2023\/11\/session-limited-journeys-heap-analytics_9f4ade8805966a1eb70c4147f98de455_2000.png\" alt=\"Tracking customers' digital journeys in Heap.\" width=\"980\" height=\"761\" srcset=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2023\/11\/session-limited-journeys-heap-analytics_9f4ade8805966a1eb70c4147f98de455_2000.png 980w, https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2023\/11\/session-limited-journeys-heap-analytics_9f4ade8805966a1eb70c4147f98de455_2000-450x349.png 450w, https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2023\/11\/session-limited-journeys-heap-analytics_9f4ade8805966a1eb70c4147f98de455_2000-768x596.png 768w\" sizes=\"(max-width: 980px) 100vw, 980px\" \/><\/a><figcaption id=\"caption-attachment-515846\" class=\"wp-caption-text\">Tracking customers&#8217; digital journeys in Heap.<\/figcaption><\/figure>\n<ul>\n<li data-pm-slice=\"1 1 [&quot;bulletList&quot;,{&quot;id&quot;:&quot;13ff0089-001f-40b8-95f8-3c6370400996&quot;},&quot;listItem&quot;,{}]\"><strong><span data-color=\"transparent\">Integrated session replay: <\/span><\/strong><span data-color=\"transparent\">Heap provides <\/span><a href=\"https:\/\/userpilot.com\/blog\/what-is-session-replay\/\" target=\"_blank\" rel=\"noopener noreferrer\"><span data-color=\"transparent\">session replay<\/span><\/a><span data-color=\"transparent\"> to help you verify user behavior directly. If you notice a drop-off in a funnel, you can watch a recreation of the session to check for rage-clicks, interface friction, or moments when users hesitate. This provides a clearer understanding of why the numbers behave the way they do and offers helpful, real-time data that supports quicker investigation.\u00a0<\/span><\/li>\n<\/ul>\n<figure id=\"attachment_515863\" aria-describedby=\"caption-attachment-515863\" style=\"width: 650px\" class=\"wp-caption alignnone\"><a href=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2023\/11\/heap-session-replay.gif\"><img decoding=\"async\" class=\"size-full wp-image-515863\" src=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2023\/11\/heap-session-replay.gif\" alt=\"Heap's session replays offer valuable insights to understand user behavior.\" width=\"650\" height=\"365\" \/><\/a><figcaption id=\"caption-attachment-515863\" class=\"wp-caption-text\">Heap&#8217;s session replays offer valuable insights to understand user behavior.<\/figcaption><\/figure>\n<ul>\n<li data-pm-slice=\"1 1 [&quot;bulletList&quot;,{&quot;id&quot;:&quot;81c9c60e-46f7-4c3c-84a8-2ad47afc277a&quot;},&quot;listItem&quot;,{}]\"><strong><span data-color=\"transparent\">Heap illuminate:<\/span><\/strong><span data-color=\"transparent\"> This is the platform\u2019s automated insight engine. It scans your <\/span><a href=\"https:\/\/userpilot.com\/blog\/behavioral-data-types\/\" target=\"_blank\" rel=\"noopener noreferrer\"><span data-color=\"transparent\">behavioral data<\/span><\/a><span data-color=\"transparent\"> and highlights patterns that deserve attention, such as moments of unusual drop-off, actions that strongly predict activation, or paths that differ between successful and unsuccessful users. For example, it can show that users who engage with a specific feature are 3x more likely to retain.\u00a0<\/span><\/li>\n<\/ul>\n<figure id=\"attachment_515882\" aria-describedby=\"caption-attachment-515882\" style=\"width: 2473px\" class=\"wp-caption alignnone\"><a href=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2023\/11\/heap-effort-analysis.gif\"><img decoding=\"async\" class=\"size-full wp-image-515882\" src=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2023\/11\/heap-effort-analysis.gif\" alt=\"Automated insights in Heap illuminate. \" width=\"2473\" height=\"1288\" \/><\/a><figcaption id=\"caption-attachment-515882\" class=\"wp-caption-text\">Automated insights in Heap illuminate.<\/figcaption><\/figure>\n<h2 data-pm-slice=\"1 3 []\"><span data-color=\"transparent\">Heap pricing<\/span><\/h2>\n<p><span data-color=\"transparent\">Heap offers custom pricing tailored to your needs, but the platform still publishes clear tiers so you can understand what each plan includes before requesting a quote:\u00a0<\/span><\/p>\n<ul>\n<li><span data-color=\"transparent\"><strong>Free:<\/strong> This plan comes with core analytics charts, unlimited enrichment sources, six months of data history, and SSO. It supports up to 10k monthly sessions, which makes it suitable for early-stage teams with a handful of users.<\/span><\/li>\n<li><span data-color=\"transparent\"><strong>Growth:<\/strong> Ideal for growing companies, this plan offers AI-powered assistance, unlimited users and reports, chart customization, CSV exports, and a 12-month data history. G2 data indicates that pricing starts at approximately <\/span><a href=\"https:\/\/www.g2.com\/products\/heap\/reviews?source=search\" target=\"_blank\" rel=\"noopener noreferrer\"><span data-color=\"transparent\">$3,600 per year<\/span><\/a><span data-color=\"transparent\">, although final costs vary depending on usage.<\/span><\/li>\n<li><span data-color=\"transparent\"><strong>Pro:<\/strong> Heap&#8217;s pro plan adds more advanced features, such as account analytics, report alerts, and access to session replay (as an add-on). Pricing follows a custom session-based model.<\/span><\/li>\n<li><span data-color=\"transparent\"><strong>Premier:<\/strong> This is designed for larger organizations. It provides enterprise-grade features like data warehouse integration, <\/span><a href=\"https:\/\/userpilot.com\/blog\/behavioral-targeting\/\" target=\"_blank\" rel=\"noopener noreferrer\"><span data-color=\"transparent\">behavioral targeting<\/span><\/a><span data-color=\"transparent\">, unlimited projects, advanced permissions, dedicated CSM support, and region-specific storage. As with the other paid plans, pricing for this tier is based on organizational needs.<\/span><\/li>\n<\/ul>\n<figure id=\"attachment_515899\" aria-describedby=\"caption-attachment-515899\" style=\"width: 1807px\" class=\"wp-caption alignnone\"><a href=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2023\/11\/Heap-pricing.png\"><img decoding=\"async\" class=\"size-full wp-image-515899\" src=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2023\/11\/Heap-pricing.png\" alt=\"Heap pricing.\" width=\"1807\" height=\"868\" srcset=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2023\/11\/Heap-pricing.png 1807w, https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2023\/11\/Heap-pricing-450x216.png 450w, https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2023\/11\/Heap-pricing-1024x492.png 1024w, https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2023\/11\/Heap-pricing-768x369.png 768w, https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2023\/11\/Heap-pricing-1536x738.png 1536w\" sizes=\"(max-width: 1807px) 100vw, 1807px\" \/><\/a><figcaption id=\"caption-attachment-515899\" class=\"wp-caption-text\">Heap pricing.<\/figcaption><\/figure>\n<h2 data-pm-slice=\"1 1 []\"><span data-color=\"transparent\">3 Heap analytics use cases to improve product understanding<\/span><\/h2>\n<p><span data-color=\"transparent\">You&#8217;ve seen how Heap works and where its limits appear, so it helps to shift into practical examples of how the platform supports product growth. Here are three of my favorite use cases:\u00a0\u00a0<\/span><\/p>\n<h3><span data-color=\"transparent\">1. Onboarding analysis for a complete understanding of early user behavior<\/span><\/h3>\n<p><span data-color=\"transparent\">During onboarding, small points of friction have a disproportionately large impact on activation and ongoing engagement. A <\/span><a href=\"https:\/\/userpilot.com\/blog\/how-to-onboard-new-users\/\" target=\"_blank\" rel=\"noopener noreferrer\"><span data-color=\"transparent\">new user<\/span><\/a><span data-color=\"transparent\"> might open your product, reach a form with unclear field labels, try twice to complete it, and then exit without returning. Another might click a primary call-to-action, wait for the next screen to load, and abandon the flow after a few seconds of delay. These are simple moments, but they often explain why users drop off well before they see the value of your product\u2014and the situation becomes even more frustrating when you can&#8217;t find the exact point or key moments where the flow breaks.\u00a0<\/span><\/p>\n<p><span data-color=\"transparent\">Heap&#8217;s journey maps, funnels, and session replay feature make those issues easier to identify. You can track how first-time users engage with key steps, compare successful and unsuccessful user flows, and identify the moments where users pause or abandon important processes.\u00a0\u00a0 <\/span><\/p>\n<figure id=\"attachment_515917\" aria-describedby=\"caption-attachment-515917\" style=\"width: 1024px\" class=\"wp-caption alignnone\"><a href=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2023\/11\/journeys-chart-signup-flow-Heap.png\"><img decoding=\"async\" class=\"size-full wp-image-515917\" src=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2023\/11\/journeys-chart-signup-flow-Heap.png\" alt=\"Setting up onboarding analytics in Heap.\" width=\"1024\" height=\"1004\" srcset=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2023\/11\/journeys-chart-signup-flow-Heap.png 1024w, https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2023\/11\/journeys-chart-signup-flow-Heap-450x441.png 450w, https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2023\/11\/journeys-chart-signup-flow-Heap-768x753.png 768w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/a><figcaption id=\"caption-attachment-515917\" class=\"wp-caption-text\">Setting up onboarding analytics in Heap.<\/figcaption><\/figure>\n<h3 data-pm-slice=\"1 1 []\"><span data-color=\"transparent\">2. Feature adoption insights for data-driven decisions<\/span><\/h3>\n<p><span data-color=\"transparent\">Heap helps you understand adoption gaps by showing the paths users take before and after they encounter a feature.\u00a0<\/span><\/p>\n<p><span data-color=\"transparent\">Journey maps highlight how people arrive at it, while funnels reveal where they <\/span><a href=\"https:\/\/userpilot.com\/blog\/drop-off-analysis\/\" target=\"_blank\" rel=\"noopener noreferrer\"><span data-color=\"transparent\">drop off<\/span><\/a><span data-color=\"transparent\"> or stop engaging. You can compare the behavior of users who return to the feature with those who ignore it, identify which actions correlate with maximum usage, and check session replays to understand why some users back out the moment they reach the new screen.<\/span><\/p>\n<p><span data-color=\"transparent\">Heap also lets you track adoption trends over weeks and months. With this data, you can support stronger data-driven decision-making, monitor key metrics over time, identify the effects of product changes, and uncover granular patterns, such as whether <\/span><a href=\"https:\/\/userpilot.com\/blog\/customer-acquisition\/\" target=\"_blank\" rel=\"noopener noreferrer\"><span data-color=\"transparent\">user acquisition<\/span><\/a><span data-color=\"transparent\"> sources affect the adoption curve.\u00a0 <\/span><\/p>\n<figure id=\"attachment_515934\" aria-describedby=\"caption-attachment-515934\" style=\"width: 1024px\" class=\"wp-caption alignnone\"><a href=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2023\/11\/chart-1-feature-usage-Heap.png\"><img decoding=\"async\" class=\"size-full wp-image-515934\" src=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2023\/11\/chart-1-feature-usage-Heap.png\" alt=\"Tracking feature usage in Heap.\" width=\"1024\" height=\"582\" srcset=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2023\/11\/chart-1-feature-usage-Heap.png 1024w, https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2023\/11\/chart-1-feature-usage-Heap-450x256.png 450w, https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2023\/11\/chart-1-feature-usage-Heap-768x437.png 768w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/a><figcaption id=\"caption-attachment-515934\" class=\"wp-caption-text\">Tracking feature usage in Heap.<\/figcaption><\/figure>\n<h3 data-pm-slice=\"1 1 []\"><span data-color=\"transparent\">3. Retention analysis that reveals deeper insights across user cohorts\u00a0<\/span><\/h3>\n<p><span data-color=\"transparent\">Beyond tracking <\/span><a href=\"https:\/\/userpilot.com\/blog\/adoption-rate\/\" target=\"_blank\" rel=\"noopener noreferrer\"><span data-color=\"transparent\">adoption rates<\/span><\/a><span data-color=\"transparent\">, Heap lets you dive into long-term user behavior and understand what keeps people engaged over time. Retention is rarely tied to a single action, so the ability to group users by their actions within the product provides a clearer view of the habits that matter. You can create cohorts based on onboarding success, feature usage, or key activation steps, then compare how each group behaves over weeks, months, or even years.<\/span><\/p>\n<p><span data-color=\"transparent\">Heap&#8217;s retention curves and cohort tools make it easier to see which behaviors correlate with lasting customer engagement and which customer groups drop off after initial excitement fades. When you pair this with journey insights, you can trace how <\/span><a href=\"https:\/\/userpilot.com\/blog\/customer-loyalty\/\" target=\"_blank\" rel=\"noopener noreferrer\"><span data-color=\"transparent\">loyal users<\/span><\/a><span data-color=\"transparent\"> navigate the product compared to users who churn. This helps you identify the actions that predict renewal, the parts of the experience that lose people, and the opportunities to reinforce value before they disengage.\u00a0 <\/span><\/p>\n<figure id=\"attachment_515952\" aria-describedby=\"caption-attachment-515952\" style=\"width: 1024px\" class=\"wp-caption alignnone\"><a href=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2023\/11\/retention-analysis-heap.png\"><img decoding=\"async\" class=\"size-full wp-image-515952\" src=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2023\/11\/retention-analysis-heap.png\" alt=\"Retention analysis in Heap.\" width=\"1024\" height=\"589\" srcset=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2023\/11\/retention-analysis-heap.png 1024w, https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2023\/11\/retention-analysis-heap-450x259.png 450w, https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2023\/11\/retention-analysis-heap-768x442.png 768w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/a><figcaption id=\"caption-attachment-515952\" class=\"wp-caption-text\">Retention analysis in Heap.<\/figcaption><\/figure>\n<h2 data-pm-slice=\"1 1 []\"><span data-color=\"transparent\">Pros and cons of Heap\u00a0<\/span><\/h2>\n<p><span data-color=\"transparent\">Many of heap\u2019s advantages stem from the way it captures and organizes data. At the same time, the platform has limitations that become more noticeable as your team grows or your dataset scales. Let\u2019s explore both sides of the coin.\u00a0\u00a0<\/span><\/p>\n<h3><span data-color=\"transparent\">Pros of Heap<\/span><\/h3>\n<ul>\n<li><span data-color=\"transparent\"><strong>Comprehensive behavioral coverage:<\/strong> Heap provides teams with a near-complete record of user actions across the entire digital experience, reducing blind spots when analyzing how people navigate a product. This level of visibility enables teams to identify issues that would otherwise go unnoticed in tools with partial or selective tracking.<\/span><\/li>\n<\/ul>\n<p>Mark puts it perfectly:<\/p>\n<figure id=\"attachment_515969\" aria-describedby=\"caption-attachment-515969\" style=\"width: 1302px\" class=\"wp-caption alignnone\"><a href=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2023\/11\/Heap-G2-review.png\"><img decoding=\"async\" class=\"size-full wp-image-515969\" src=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2023\/11\/Heap-G2-review.png\" alt=\"Heap review on G2.\" width=\"1302\" height=\"657\" srcset=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2023\/11\/Heap-G2-review.png 1302w, https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2023\/11\/Heap-G2-review-450x227.png 450w, https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2023\/11\/Heap-G2-review-1024x517.png 1024w, https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2023\/11\/Heap-G2-review-768x388.png 768w\" sizes=\"(max-width: 1302px) 100vw, 1302px\" \/><\/a><figcaption id=\"caption-attachment-515969\" class=\"wp-caption-text\"><a href=\"https:\/\/www.g2.com\/products\/heap\/reviews\/heap-review-9874230\" target=\"_blank\" rel=\"noopener\">Mark&#8217;s review on G2<\/a>.<\/figcaption><\/figure>\n<ul data-pm-slice=\"3 3 []\">\n<li><span data-color=\"transparent\"><strong>Strong support for exploratory analysis:<\/strong> Heap suits teams that ask <\/span><a href=\"https:\/\/userpilot.com\/blog\/open-ended-questions\/\" target=\"_blank\" rel=\"noopener noreferrer\"><span data-color=\"transparent\">open-ended questions<\/span><\/a><span data-color=\"transparent\">. When you\u2019re not sure which user actions to focus on, the platform makes it easier to explore patterns, trace unexpected paths, and test assumptions without reworking your tracking plan each time.\u00a0<\/span><\/li>\n<li><span data-color=\"transparent\"><strong>Consistent insight across web and mobile:<\/strong> Heap works across both web and mobile applications, which helps teams analyze behavior without stitching together separate tools or dealing with gaps between platforms. This gives a clearer view of how users move between devices and how <\/span><a href=\"https:\/\/userpilot.com\/blog\/product-changes\/\" target=\"_blank\" rel=\"noopener noreferrer\"><span data-color=\"transparent\">product changes<\/span><\/a><span data-color=\"transparent\"> affect the experience as a whole.\u00a0<\/span><\/li>\n<\/ul>\n<figure id=\"attachment_515987\" aria-describedby=\"caption-attachment-515987\" style=\"width: 1309px\" class=\"wp-caption alignnone\"><a href=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2023\/11\/G2-review-heap.png\"><img decoding=\"async\" class=\"size-full wp-image-515987\" src=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2023\/11\/G2-review-heap.png\" alt=\"G2-review-heap\" width=\"1309\" height=\"414\" srcset=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2023\/11\/G2-review-heap.png 1309w, https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2023\/11\/G2-review-heap-450x142.png 450w, https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2023\/11\/G2-review-heap-1024x324.png 1024w, https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2023\/11\/G2-review-heap-768x243.png 768w\" sizes=\"(max-width: 1309px) 100vw, 1309px\" \/><\/a><figcaption id=\"caption-attachment-515987\" class=\"wp-caption-text\"><a href=\"https:\/\/www.g2.com\/products\/heap\/reviews\/heap-review-7746723\" target=\"_blank\" rel=\"noopener\">Tal&#8217;s G2 review<\/a>.<\/figcaption><\/figure>\n<ul data-pm-slice=\"3 3 []\">\n<li><span data-color=\"transparent\"><strong>Flexible for cross-functional teams:<\/strong> Different roles can work within the same platform without relying on separate dashboards or other tools. Designers can validate UI behavior, product and marketing teams can evaluate <\/span><a href=\"https:\/\/userpilot.com\/blog\/saas-user-flow-optimization\/\" target=\"_blank\" rel=\"noopener noreferrer\"><span data-color=\"transparent\">product flows<\/span><\/a><span data-color=\"transparent\">, and analysts can dig deeper into patterns. <\/span>Working in a single system helps align teams around the same data and encourages shared ownership of insights rather than isolated reporting<span data-color=\"transparent\">.<\/span><\/li>\n<\/ul>\n<h3><span data-color=\"transparent\">Cons of Heap<\/span><\/h3>\n<ul>\n<li><span data-color=\"transparent\"><strong>Escalating costs:<\/strong> Heap prices its plans based on sessions rather than <\/span><a href=\"https:\/\/userpilot.com\/blog\/what-is-a-mau\/\" target=\"_blank\" rel=\"noopener noreferrer\"><span data-color=\"transparent\">monthly active users<\/span><\/a><span data-color=\"transparent\">. A product with strong engagement creates more sessions, so you pay more even when your customer count stays the same. High-frequency usage becomes a cost driver, which can make the platform expensive if your users log in often or complete many actions in short intervals.\u00a0\u00a0<\/span><\/li>\n<\/ul>\n<figure id=\"attachment_516005\" aria-describedby=\"caption-attachment-516005\" style=\"width: 1300px\" class=\"wp-caption alignnone\"><a href=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2023\/11\/Heap-review-G2.png\"><img decoding=\"async\" class=\"size-full wp-image-516005\" src=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2023\/11\/Heap-review-G2.png\" alt=\"G2 review heap.\" width=\"1300\" height=\"573\" srcset=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2023\/11\/Heap-review-G2.png 1300w, https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2023\/11\/Heap-review-G2-450x198.png 450w, https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2023\/11\/Heap-review-G2-1024x451.png 1024w, https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2023\/11\/Heap-review-G2-768x339.png 768w\" sizes=\"(max-width: 1300px) 100vw, 1300px\" \/><\/a><figcaption id=\"caption-attachment-516005\" class=\"wp-caption-text\"><a href=\"https:\/\/www.g2.com\/products\/heap\/reviews\/heap-review-8379010\" target=\"_blank\" rel=\"noopener\">Rory&#8217;s G2 review<\/a>.<\/figcaption><\/figure>\n<ul>\n<li data-pm-slice=\"1 1 [&quot;bulletList&quot;,{&quot;id&quot;:&quot;76143563-51af-4ba0-a2c2-9e707aad9e09&quot;},&quot;listItem&quot;,{}]\"><span data-color=\"transparent\"><strong>Performance issues:<\/strong> Heap\u2019s script listens for every interaction on the client side, which is heavier than triggering a small set of predefined events. In complex or highly interactive web applications, this can contribute to slower load times or a longer Time to Interactive (TTI), especially on lower-powered devices or older browsers.\u00a0<\/span><\/li>\n<\/ul>\n<figure id=\"attachment_516023\" aria-describedby=\"caption-attachment-516023\" style=\"width: 1306px\" class=\"wp-caption alignnone\"><a href=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2023\/11\/Heap-review-G2-William.png\"><img decoding=\"async\" class=\"size-full wp-image-516023\" src=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2023\/11\/Heap-review-G2-William.png\" alt=\"Heap G2 review\" width=\"1306\" height=\"762\" srcset=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2023\/11\/Heap-review-G2-William.png 1306w, https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2023\/11\/Heap-review-G2-William-450x263.png 450w, https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2023\/11\/Heap-review-G2-William-1024x597.png 1024w, https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2023\/11\/Heap-review-G2-William-768x448.png 768w\" sizes=\"(max-width: 1306px) 100vw, 1306px\" \/><\/a><figcaption id=\"caption-attachment-516023\" class=\"wp-caption-text\"><a href=\"https:\/\/www.g2.com\/products\/heap\/reviews\/heap-review-7742642\" target=\"_blank\" rel=\"noopener\">William&#8217;s G2 review<\/a>.<\/figcaption><\/figure>\n<ul data-pm-slice=\"3 1 []\">\n<li><span data-color=\"transparent\"><strong>Event definitions require governance:<\/strong> Even with the visual labeler, maintaining a clean and reliable event taxonomy takes discipline. Without clear ownership, teams can end up with overlapping definitions, inconsistencies, or outdated labels that make analysis harder.\u00a0\u00a0<\/span><\/li>\n<li><span data-color=\"transparent\"><strong>Learning curve:<\/strong> The interface comes with a steep learning curve for users who are new to behavioral analytics or working with large event datasets.\u00a0<\/span><\/li>\n<\/ul>\n<h2><span data-color=\"transparent\">Best Heap analytics alternatives\u00a0<\/span><\/h2>\n<p><span data-color=\"transparent\">Heap offers powerful analytics, yet it falls short in certain contexts. Session-based costs rise quickly, and the platform leaves gaps in areas outside of analytics, which can contribute to data silos when teams need both engagement and analytics within the same workflow.\u00a0<\/span><\/p>\n<p><span data-color=\"transparent\">To help you evaluate your options, I\u2019ve compiled a comparison table with alternatives that may be a better match.\u00a0<\/span><\/p>\n<table data-pm-slice=\"1 1 []\">\n<colgroup>\n<col \/>\n<col \/>\n<col \/>\n<col \/><\/colgroup>\n<tbody>\n<tr>\n<th colspan=\"1\" rowspan=\"1\">Tool<\/th>\n<th colspan=\"1\" rowspan=\"1\">Key features<\/th>\n<th colspan=\"1\" rowspan=\"1\">Why it\u2019s a better alternative<\/th>\n<th colspan=\"1\" rowspan=\"1\">Price<\/th>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\"><strong><a href=\"https:\/\/userpilot.com\/\">Userpilot<\/a><\/strong><\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<ul>\n<li>In-app onboarding<\/li>\n<li>Product analytics<\/li>\n<li>Surveys<\/li>\n<li>Checklists<\/li>\n<li>Product experiments<\/li>\n<li>Automatic event tracking<\/li>\n<li>Web &amp; mobile support<\/li>\n<\/ul>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">Userpilot is an all-in-one product analytics platform that pairs insights with in-app engagement, helps you act on data without relying on other tools, and provides predictable pricing for SaaS teams.<\/td>\n<td colspan=\"1\" rowspan=\"1\">Starts at $299\/month.<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\"><strong>Mixpanel<\/strong><\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<ul>\n<li><a href=\"https:\/\/userpilot.com\/blog\/event-analytics\/\">Event analytics<\/a><\/li>\n<li>Funnels<\/li>\n<li>Retention<\/li>\n<li>Dashboards<\/li>\n<li>Behavior alerts<\/li>\n<\/ul>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">Mixpanel is a strong fit for teams that need flexible plans and complete data without the session-based pricing model.<\/td>\n<td colspan=\"1\" rowspan=\"1\">Free tier; paid plans start at $0.28 per 1K events.<\/p>\n<p>&nbsp;<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\"><strong>Amplitude<\/strong><\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<ul>\n<li>Behavioral analytics<\/li>\n<li>Journey analysis<\/li>\n<li>Product experimentation<\/li>\n<li>Advanced data science capabilities<\/li>\n<\/ul>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">Amplitude is better suited for organizations that need enterprise-level modeling, forecasting, and deep pattern discovery.<\/td>\n<td colspan=\"1\" rowspan=\"1\">Free tier; paid plans are custom-priced<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\"><strong>Simple Analytics<\/strong><\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<ul>\n<li>Lightweight dashboards<\/li>\n<li>Privacy-friendly analytics<\/li>\n<li>Simple web analytics<\/li>\n<\/ul>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">Simple Analytics is good for teams that want clarity without the complexity or cost of running a larger analytics software.<\/td>\n<td colspan=\"1\" rowspan=\"1\">Free plan available. Paid tiers start at $20\/month for 20K events.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2 data-pm-slice=\"1 1 []\"><span data-color=\"transparent\">Combine analytics with in-app engagement<\/span><\/h2>\n<p><span data-color=\"transparent\">Heap provides product teams with a detailed view of how users move through an application. Its depth makes it a solid choice for teams that need to study user behavior and uncover friction in their onboarding or adoption flows.\u00a0<\/span><\/p>\n<p><span data-color=\"transparent\">Analytics alone, however, can only take you so far. Data shows you what users do, but it doesn\u2019t turn those patterns into actionable insights or help you guide users through the next step. For SaaS teams that need to move quickly, relying on analytics without built-in engagement tools creates friction. With Heap, you often need third-party platforms to act on the insights you uncover.<\/span><\/p>\n<p><span data-color=\"transparent\">Userpilot brings both sides together by pairing analytics with in-app engagement features such as modals, tooltips, onboarding checklists, and user feedback surveys. These capabilities help teams respond to what the data reveals, improve the experience without waiting on engineering resources, and create moments that contribute to real customer delight.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Heap is a product analytics platform, which allows customer success teams, marketers, and product managers to track user interactions with the product across all touchpoints in the user journeys. If you want to see how Userpilot can help you achieve the same goals as Heap, read on!<\/p>\n","protected":false},"author":71,"featured_media":516042,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"categories":[1075],"tags":[1470,941,5122,5121,5124,614,761,817,1065,429,1604,5123],"class_list":["post-116549","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tools","tag-actionable-insights","tag-collect-feedback","tag-heap-analytics","tag-heap-vs-userpilot","tag-improve-adoption","tag-improve-retention","tag-in-app-surveys","tag-product-teams","tag-segment-users","tag-user-behavior","tag-user-insights","tag-user-segementation"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.2 (Yoast SEO v27.2) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Heap Analytics: In-Depth Review (+Better Alternative)<\/title>\n<meta name=\"description\" content=\"How can you use Heap analytics to make better-informed product decisions? 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