{"id":107772,"date":"2026-01-21T11:42:25","date_gmt":"2026-01-21T19:42:25","guid":{"rendered":"https:\/\/www.crazyegg.com\/blog\/?p=107772"},"modified":"2026-01-21T11:43:25","modified_gmt":"2026-01-21T19:43:25","slug":"amplitude-vs-posthog","status":"publish","type":"post","link":"https:\/\/www.crazyegg.com\/blog\/amplitude-vs-posthog\/","title":{"rendered":"Amplitude vs PostHog: Each Product\u2019s True Strengths"},"content":{"rendered":"\n<p>Need an analytics tool for your website or app? Amplitude is best for web-based and ecommerce teams, but PostHog is ideal for app developers and product engineers.<\/p>\n\n\n\n<p>Let\u2019s explore the pros and cons of both of these behavior analytics tools.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Amplitude vs. PostHog: A Quick Snapshot<\/h2>\n\n\n\n<p>TL;DR? Here are the highs and lows of both tools in a nutshell.&nbsp;<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th><strong>Feature<\/strong><\/th><th><strong><strong>Amplitude<\/strong><\/strong><\/th><th><strong>PostHog<\/strong><\/th><\/tr><\/thead><tbody><tr><td><strong>Product Analytics<\/strong><\/td><td>\u2705 Strong behavioral analysis<br>\u26a0\ufe0f Insight-focused rather than app-building focus<\/td><td>\u2705 Analytics tied to shipping new features and products<br>\u26a0\ufe0f More technical than Amplitude<\/td><\/tr><tr><td><strong>Funnels<\/strong><\/td><td>\u2705 Clear, visual funnels<br>\u26a0\ufe0f Analysis-first<\/td><td>\u2705 Flexible funnel logic<br>\u26a0\ufe0f Less polished UI<\/td><\/tr><tr><td><strong>User Journeys \/ Paths<\/strong><\/td><td>\u2705 Journeys for real user paths<br>\u2705 Visually pleasing charts\/dashboards<\/td><td>\u2705 User paths inform iteration<br>\u26a0\ufe0f Less visual\/easy to digest<\/td><\/tr><tr><td><strong>Retention<\/strong><\/td><td>\u2705 Long-term engagement focus<\/td><td>\u2705 Post-release impact focus<\/td><\/tr><tr><td><strong>Cohorts<\/strong><\/td><td>\u2705 Segmentation &amp; analysis<\/td><td>\u2705 Reused across flags &amp; tests<\/td><\/tr><tr><td><strong>Feature Flags<\/strong><\/td><td>\u26a0\ufe0f Via Experiments only<\/td><td>\u2705 Core dev workflow<\/td><\/tr><tr><td><strong>A\/B Testing<\/strong><\/td><td>\u2705 Structured experiments<\/td><td>\u2705 Flag-based, high control<\/td><\/tr><tr><td><strong>Best For<\/strong><\/td><td>Marketing &amp; growth teams<\/td><td>Product &amp; dev teams<\/td><\/tr><tr><td><strong>Pricing<\/strong><\/td><td>MTU-based, predictable<\/td><td>Usage-based, flexible<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Feature Breakdown: Amplitude vs. PostHog<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">1. Product Analytics&nbsp;<\/h3>\n\n\n\n<h4 class=\"wp-block-heading\">Amplitude<\/h4>\n\n\n\n<p>Amplitude\u2019s product analysis features focus on helping teams gain a deep understanding of user behavior. Amplitude tracks exact user behaviors, like signing up for a newsletter or using a feature. It measures how often these events happen and in what order the users perform these key actions.&nbsp;<\/p>\n\n\n\n<p>Instead of presenting these in a dense table packed with numbers, Amplitude showcases the insights visually in formats like funnels, graphs, and charts, color-coding and all.<\/p>\n\n\n\n<p>Here\u2019s a quick summary of what product analytics metrics Amplitude tracks:&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Events:<\/strong> user actions like clicks, views, and feature use<\/li>\n\n\n\n<li><strong>Active users:<\/strong> daily, weekly, and monthly active users<\/li>\n\n\n\n<li><strong>Conversion rates:<\/strong> percentage of users who move from one step to the next in a funnel<\/li>\n\n\n\n<li><strong>Drop-off rates:<\/strong> where users abandon specific customer flows<\/li>\n\n\n\n<li><strong>Retention: <\/strong>how often users come back over time<\/li>\n\n\n\n<li><strong>Engagement frequency:<\/strong> how often key actions are taken<\/li>\n\n\n\n<li><strong>Stickiness:<\/strong> how regularly users are active<\/li>\n<\/ul>\n\n\n\n<p>These metrics help brands understand what users are doing on their website and app\u2014and help them pinpoint problem areas that need work.&nbsp;<\/p>\n\n\n\n<p>Unlike PostHog with its product-dev heavy focus, Amplitude primarily uses the metrics above for insight and analysis. There\u2019s less of a focus on iterating a software product and more of a focus on understanding user behavior and trying to optimize a website for that behavior.&nbsp;<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">PostHog<\/h4>\n\n\n\n<p>PostHog\u2019s product analytics features are focused on helping teams\u2014especially teams made up of <em>engineers<\/em>, specifically\u2014track and decode user behavior. It brings user data, product-improving tools, and analysis together in one place.&nbsp;<\/p>\n\n\n\n<p>Teams don\u2019t have to leave the platform in order to roll out changes because they can analyze behavior and ship updates from one place: PostHog.<\/p>\n\n\n\n<p>Like Amplitude, PostHog measures events, active users, <a href=\"https:\/\/www.crazyegg.com\/blog\/cro-statistics\/\" target=\"_blank\" rel=\"noreferrer noopener\">conversion rates<\/a>, drop-off rates, retention, feature usage, and stickiness. But PostHog focuses on tying these metrics to experimentation, feature flags, and fast iteration\u2014all of which are crucial when you\u2019re building and maintaining a SaaS product.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">2. Funnels and User Journey Mapping<\/h3>\n\n\n\n<h4 class=\"wp-block-heading\">Amplitude&nbsp;<\/h4>\n\n\n\n<p>Amplitude\u2019s funnel analysis tool helps you see how users move through a series of steps, which you must pre-define.&nbsp;<\/p>\n\n\n\n<p>This could be the process of landing on your site for the first time, clicking a CTA, and signing up for a free trial. Or it could be visiting a product page, adding an item to the cart, and checking out.&nbsp;<\/p>\n\n\n\n<p>All you have to do is define the sequence of events that you want to measure and tell Amplitude what order the steps should be completed in to count as a conversion. Amplitude will then count all the users who move through the funnel in the right order.<\/p>\n\n\n\n<p>Or, you can track any steps they take toward conversion.&nbsp;<\/p>\n\n\n\n<p>Either way, you\u2019ll be able to see how many users complete each step and where folks drop off. And if people aren\u2019t following your ideal funnel sequence, you might have some tweaking to do on your site.&nbsp;<\/p>\n\n\n\n<p>With Funnels on Amplitude, you can gain a deeper understanding of whether your ideal flows are actually working. If they aren\u2019t, you\u2019ll know\u2014and you can fix them.&nbsp;<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"1350\" height=\"800\" src=\"https:\/\/ceblog.s3.amazonaws.com\/wp-content\/uploads\/2026\/01\/21113554\/Amplitude-vs-PostHog-Behavior-Funnel.png\" alt=\"Amplitude's User Behavior Funnel Chart template page showing a funnel visualization with blue and pink colored stages flowing from Starting Point to Ending Point.\" class=\"wp-image-107779\" srcset=\"https:\/\/ceblog.s3.amazonaws.com\/wp-content\/uploads\/2026\/01\/21113554\/Amplitude-vs-PostHog-Behavior-Funnel.png 1350w, https:\/\/ceblog.s3.amazonaws.com\/wp-content\/uploads\/2026\/01\/21113554\/Amplitude-vs-PostHog-Behavior-Funnel-300x178.png 300w, https:\/\/ceblog.s3.amazonaws.com\/wp-content\/uploads\/2026\/01\/21113554\/Amplitude-vs-PostHog-Behavior-Funnel-1024x607.png 1024w, https:\/\/ceblog.s3.amazonaws.com\/wp-content\/uploads\/2026\/01\/21113554\/Amplitude-vs-PostHog-Behavior-Funnel-768x455.png 768w\" sizes=\"(max-width: 1350px) 100vw, 1350px\" \/><\/figure>\n\n\n\n<p>Plus, Amplitude offers a tool called Journeys, which lets you see the <em>actual <\/em>path users take on the <a href=\"https:\/\/www.crazyegg.com\/blog\/customer-journey\/\" target=\"_blank\" rel=\"noreferrer noopener\">customer journey<\/a>\u2014not just the predefined one you laid out for a Funnels chart. This can help you adjust your conversion funnels to reflect reality.&nbsp;<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">PostHog<\/h4>\n\n\n\n<p>PostHog\u2019s Funnels feature measures how your users move through a sequence of events\u2014much like Amplitude\u2019s does. You can set PostHog to track funnels in a strict, sequential, or random step order.<\/p>\n\n\n\n<p>You\u2019ll also get the following:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Analysis <\/strong>of how long users take to convert<\/li>\n\n\n\n<li><strong>Summary<\/strong> of the user actions and attributes most closely tied to conversion and drop-off<\/li>\n\n\n\n<li><strong>Breakdown <\/strong>of results according to user or event characteristics.&nbsp;<\/li>\n<\/ul>\n\n\n\n<p>This information is crucial when you\u2019re trying to problem-solve your app and make continuous improvements.&nbsp;<\/p>\n\n\n\n<p>PostHog also offers a separate User Paths tool that shows you the different journeys users take on your product. Unlike in the Funnels feature, you\u2019re not tracking progress toward a conversion with User Paths.&nbsp;<\/p>\n\n\n\n<p>You\u2019re just studying the different sequences users take\u2014which can then inform your funnels. The charts PostHog generates are fine, but they aren\u2019t quite as visually appealing and accessible to non-engineering brains as they could be.&nbsp;<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"1350\" height=\"800\" src=\"https:\/\/ceblog.s3.amazonaws.com\/wp-content\/uploads\/2026\/01\/21113636\/Amplitude-vs-PostHog-User-Paths.png\" alt=\"User path visualization showing a Sankey diagram with salmon-colored flow paths connecting multiple stages from left to right.\" class=\"wp-image-107780\" srcset=\"https:\/\/ceblog.s3.amazonaws.com\/wp-content\/uploads\/2026\/01\/21113636\/Amplitude-vs-PostHog-User-Paths.png 1350w, https:\/\/ceblog.s3.amazonaws.com\/wp-content\/uploads\/2026\/01\/21113636\/Amplitude-vs-PostHog-User-Paths-300x178.png 300w, https:\/\/ceblog.s3.amazonaws.com\/wp-content\/uploads\/2026\/01\/21113636\/Amplitude-vs-PostHog-User-Paths-1024x607.png 1024w, https:\/\/ceblog.s3.amazonaws.com\/wp-content\/uploads\/2026\/01\/21113636\/Amplitude-vs-PostHog-User-Paths-768x455.png 768w\" sizes=\"(max-width: 1350px) 100vw, 1350px\" \/><\/figure>\n\n\n\n<p>PostHog\u2019s funnels are closely tied to its feature flag and experimentation tools, which makes it ideal for continuously updating, testing, and improving a product.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">3. Retention and Cohort Analysis&nbsp;<\/h3>\n\n\n\n<h4 class=\"wp-block-heading\">Amplitude&nbsp;<\/h4>\n\n\n\n<p>Amplitude\u2019s retention analysis helps teams understand how often users come back after performing a specific action.&nbsp;<\/p>\n\n\n\n<p>You can define a starting event\u2014like signing up for a free trial or using a feature for the first time\u2014and then define a return event, like using another feature or progressing from a free trial to a paid plan.<\/p>\n\n\n\n<p>Amplitude will show you how many users come back over time\u2014daily, weekly, and monthly. There\u2019s some flexibility here, too.&nbsp;<\/p>\n\n\n\n<p>Cohort analysis builds on retention analysis by grouping users who share common characteristics or behaviors.&nbsp;<\/p>\n\n\n\n<p>So if you have a group of people that comes back and uses your features regularly after that first use, you can organize them into a cohort. If you have a group that drops off after the free trial, you can organize <em>them <\/em>into a cohort and strategize ways to win them back.&nbsp;<\/p>\n\n\n\n<p>Together, these Amplitude tools help you analyze engagement, segment users in ways that are helpful for your product dev and marketing efforts, and strengthen long-term <a href=\"https:\/\/www.crazyegg.com\/blog\/customer-acquisition-vs-retention\/\" target=\"_blank\" rel=\"noreferrer noopener\">customer acquisition and retention<\/a>.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">PostHog<\/h4>\n\n\n\n<p>In PostHog, you can group users by specific actions or characteristics that they share. What\u2019s neat about PostHog is that you can use and reuse them across all of PostHog\u2019s features, including things like feature flags and A\/B tests.&nbsp;<\/p>\n\n\n\n<p>This is less central in Amplitude, where cohorts and retention are geared more toward helping you improve long-term engagement patterns. PostHog\u2019s focus is heavily bent toward helping your team carry out tightly controlled experiments and feature roll-outs.<\/p>\n\n\n\n<p>In other words, PostHog\u2019s retention and cohorts tools are made to help teams see how their changes affect actual usage right after release. That way, you can see if Update 4.9.2.0, or what have you, is positively or negatively affecting user behavior.&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">4. Feature Flags&nbsp;&nbsp;<\/h3>\n\n\n\n<h4 class=\"wp-block-heading\">Amplitude&nbsp;<\/h4>\n\n\n\n<p>Amplitude does support feature flags and controlled product and web rollouts through its Experiment tool. Feature flags are tools that control who gets access to new functions in your app or website so you can test and iterate before putting it out to everyone.&nbsp;<\/p>\n\n\n\n<p>Your team can focus on specific flags and experiments and study how these changes affect the behavior of different user groups (segments).<\/p>\n\n\n\n<p>In short, Amplitude\u2019s feature flags are ideal for measuring conversion, drop-off rates, and long-term user engagement. I\u2019d use Amplitude if I were a marketer at an ecommerce brand working to improve my company\u2019s pricing strategy, checkout flows, onboarding, and messaging.&nbsp;<\/p>\n\n\n\n<p>PostHog, on the other hand, is usually a better fit for app development teams. Instead of only offering feature flags <em>through <\/em>another tool, which is what Amplitude does, they\u2019re offered as a core feature.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">PostHog<\/h4>\n\n\n\n<p>If you\u2019re in a field where the app is the product, instead of a vehicle to <em>drive <\/em>users to the product, PostHog is probably a better fit. It just has an overall more developer and engineer-focused interface.&nbsp;<\/p>\n\n\n\n<p>Feature flags are a core feature that\u2019s also baked into the product development workflow on PostHog. Because they work in tight connection to PostHog\u2019s other analytics features, including cohorts and experiments, they\u2019re easier to use frequently as part of your team\u2019s everyday development.<\/p>\n\n\n\n<p>And most product development teams use feature flags <em>all <\/em>the time.&nbsp;<\/p>\n\n\n\n<p>Want to update your internal app\u2019s messaging functionality? Test changes with a feature flag.&nbsp;<\/p>\n\n\n\n<p>Want to add a new tool to your SaaS product? Beta test it with a feature flag.&nbsp;<\/p>\n\n\n\n<p>Want to see if a change actually improves usage? Roll it out with a cohort of users and measure how well it works with a feature flag and A\/B test.&nbsp;&nbsp;<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"1350\" height=\"800\" src=\"https:\/\/ceblog.s3.amazonaws.com\/wp-content\/uploads\/2026\/01\/21113710\/Amplitude-vs-PostHog-Feature-Flags.png\" alt=\"PostHog documentation page displaying Boolean and multivariate feature flags configuration table with variant keys, rollout percentages, and descriptions.\" class=\"wp-image-107781\" srcset=\"https:\/\/ceblog.s3.amazonaws.com\/wp-content\/uploads\/2026\/01\/21113710\/Amplitude-vs-PostHog-Feature-Flags.png 1350w, https:\/\/ceblog.s3.amazonaws.com\/wp-content\/uploads\/2026\/01\/21113710\/Amplitude-vs-PostHog-Feature-Flags-300x178.png 300w, https:\/\/ceblog.s3.amazonaws.com\/wp-content\/uploads\/2026\/01\/21113710\/Amplitude-vs-PostHog-Feature-Flags-1024x607.png 1024w, https:\/\/ceblog.s3.amazonaws.com\/wp-content\/uploads\/2026\/01\/21113710\/Amplitude-vs-PostHog-Feature-Flags-768x455.png 768w\" sizes=\"(max-width: 1350px) 100vw, 1350px\" \/><\/figure>\n\n\n\n<p>Feature flags also make it easy to roll a change back quickly if everyone hates it or if it doesn\u2019t work the way you expected.&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">5. A\/B Testing and Experimentation<\/h3>\n\n\n\n<h4 class=\"wp-block-heading\">Amplitude&nbsp;<\/h4>\n\n\n\n<p>You can run A\/B tests and other split tests using Amplitude\u2019s Experiment tool. I like that you can create experiments in two main ways:&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Feature Experiments. <\/strong>Use Amplitude\u2019s feature flags tool to show users different variants of a product experience on your app or web-based software.&nbsp;&nbsp;<\/li>\n\n\n\n<li><strong>Web Experiments.<\/strong> Use Amplitude\u2019s visual web editor to create variations of your website content without changing the code to see which changes perform better.&nbsp;<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"1350\" height=\"800\" src=\"https:\/\/ceblog.s3.amazonaws.com\/wp-content\/uploads\/2026\/01\/21113736\/Amplitude-vs-PostHog-Quickstart-Experiment.png\" alt=\"PostHog's Quickstart Experiment dashboard showing a bar chart comparing user experience metrics with blue and purple bars representing different variants.\" class=\"wp-image-107782\" srcset=\"https:\/\/ceblog.s3.amazonaws.com\/wp-content\/uploads\/2026\/01\/21113736\/Amplitude-vs-PostHog-Quickstart-Experiment.png 1350w, https:\/\/ceblog.s3.amazonaws.com\/wp-content\/uploads\/2026\/01\/21113736\/Amplitude-vs-PostHog-Quickstart-Experiment-300x178.png 300w, https:\/\/ceblog.s3.amazonaws.com\/wp-content\/uploads\/2026\/01\/21113736\/Amplitude-vs-PostHog-Quickstart-Experiment-1024x607.png 1024w, https:\/\/ceblog.s3.amazonaws.com\/wp-content\/uploads\/2026\/01\/21113736\/Amplitude-vs-PostHog-Quickstart-Experiment-768x455.png 768w\" sizes=\"(max-width: 1350px) 100vw, 1350px\" \/><\/figure>\n\n\n\n<p>In both cases, the idea is to help you test whether the changes you make actually improve onboarding, conversion, and engagement among users. I appreciate that even though Amplitude is not as engineering-focused as PostHog, the brand is clearly working to stay competitive with offerings that target both websites and apps.&nbsp;<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">PostHog<\/h4>\n\n\n\n<p>PostHog\u2019s experimentation tools let teams run A\/B tests and other experiments to measure how changes impact user behavior.&nbsp;<\/p>\n\n\n\n<p>The basic workflow goes like this:&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>You create an experiment <\/strong>and give it a name and a feature flag key. The flag is used to assign the app users to different variants\u2014usually a control and one or more test variants.&nbsp;<\/li>\n\n\n\n<li><strong>Each experiment is backed<\/strong> by a feature flag. PostHog automatically splits participants across different variants, unless you define custom conditions to override this.<\/li>\n\n\n\n<li><strong>After creating an experiment,<\/strong> you can add logic to serve users different experiences based on the assigned variant.&nbsp;<\/li>\n\n\n\n<li><strong>PostHog captures events (actions) from users<\/strong> in each variant so it can calculate the results and help teams compare the outcomes\u2014aka, how the variants affected conversion and engagement.&nbsp;<\/li>\n<\/ul>\n\n\n\n<p>PostHog also supports <a href=\"https:\/\/www.crazyegg.com\/blog\/multivariate-testing\/\" target=\"_blank\" rel=\"noreferrer noopener\">multivariate testing<\/a> by letting you add more than one variant to a feature flag.&nbsp;<\/p>\n\n\n\n<p>As you can probably tell just from the rundown of how A\/B testing works on PostHog, it takes more upfront work than Amplitude\u2019s experimentation features do. But this also means teams get more control in how their experiments run\u2014especially when it comes to testing complicated or foundational changes.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Pricing Breakdown: Which Has the Best Value?<\/h2>\n\n\n\n<p>Ready to see how Amplitude and PostHog compare as far as pricing goes?<\/p>\n\n\n\n<p>Here\u2019s a table with the key details.&nbsp;<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th><strong>Amplitude<\/strong><\/th><th><strong>PostHog<\/strong><\/th><\/tr><\/thead><tbody><tr><td><strong>Free plan <\/strong>with core product analytics, event tracking, and some (limited) experimentation features.<\/td><td><strong>Free plan<\/strong> with generous event limits, analytics, feature flags, and experiments included.<\/td><\/tr><tr><td><strong>Paid plans scale<\/strong> by monthly tracked users (MTUs). Costs grow as user counts do.<\/td><td><strong>Paid plans scale<\/strong> by usage (events, replays, flags). You pay for what you use.<\/td><\/tr><tr><td><strong>Pricing is predictable<\/strong> if your user growth is steady. Enterprise plans are custom-priced.<\/td><td><strong>Pricing is flexible<\/strong> but can fluctuate with your traffic and feature usage.<\/td><\/tr><tr><td><strong>Best value for <\/strong>structured analytics and experimentation, especially for e-commerce brands.&nbsp;<\/td><td><strong>Best for hands-on <\/strong>product development, frequent releases, and constant\/fast iteration.<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>Amplitude\u2019s pricing is a little more predictable, and if you want a tool that\u2019s easier to use for marketing teams, rather than product dev teams, it\u2019s a good deal.&nbsp;<\/p>\n\n\n\n<p>PostHog is better if you\u2019re building and shipping a product all the time and want analytics, feature flags, and experiments that recognize and make room for your team\u2019s engineering prowess.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Final Verdict: Is Amplitude or PostHog Right for You?<\/h2>\n\n\n\n<p>If you\u2019re a marketing, growth, or product team that wants a structured, predictable platform that\u2019s easy to use without heavy engineering involvement, Amplitude is probably a better fit.&nbsp;<\/p>\n\n\n\n<p>For product dev or engineering teams that need to build and ship software all the time, PostHog is the ideal choice.&nbsp;<\/p>\n\n\n\n<p>Looking for other options? You might also want to explore tools that focus more heavily on session replay, <a href=\"https:\/\/www.crazyegg.com\/blog\/web-analytics-tools\/\" target=\"_blank\" rel=\"noreferrer noopener\">web analytics<\/a>, and surveying, like Crazy Egg. See how Crazy Egg stacks up to other <a href=\"https:\/\/www.crazyegg.com\/blog\/posthog-alternatives\/\" target=\"_blank\" rel=\"noreferrer noopener\">PostHog alternatives<\/a> or <a href=\"https:\/\/www.crazyegg.com\/blog\/amplitude-alternatives\/\" target=\"_blank\" rel=\"noreferrer noopener\">Amplitude alternatives<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Need an analytics tool for your website or app? 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