{"id":227829,"date":"2025-08-25T00:55:19","date_gmt":"2025-08-25T00:55:19","guid":{"rendered":"https:\/\/userpilot.com\/blog\/product-analytics-examples\/"},"modified":"2026-03-03T12:26:08","modified_gmt":"2026-03-03T12:26:08","slug":"product-analytics-examples","status":"publish","type":"post","link":"https:\/\/userpilot.com\/blog\/product-analytics-examples\/","title":{"rendered":"\u200b7 Product Analytics Examples Every SaaS Team Should Steal"},"content":{"rendered":"<p data-block-id=\"1smek\">Most SaaS teams collect data but fail to act on it effectively. A <a href=\"https:\/\/www.salesforce.com\/resources\/research-reports\/state-of-data-analytics\/\" target=\"_blank\" rel=\"nofollow noopener\">Salesforce report<\/a> found that 94% of business leaders believe they could get more value from their data, while 78% of analytics and IT heads admit their companies struggle to turn data into action.<\/p>\n<p data-block-id=\"ev2vo\">Missing out on customer insights means lost opportunities to <a href=\"https:\/\/userpilot.com\/role\/product-management\" target=\"_blank\" rel=\"noopener noreferrer\">improve experiences<\/a> and unlock revenue growth.<\/p>\n<p data-block-id=\"fn2ef\">In this guide, I&#8217;ll share practical product analytics examples showing how real companies make smarter decisions. We&#8217;ll look at the types of analyses they run, the data they track, and action steps you can take to turn raw data into measurable growth.<\/p>\n<h2 id=\"4c9ko\" data-block-id=\"4c9ko\"><strong>Why invest in product analytics?<\/strong><\/h2>\n<p data-block-id=\"2jp91\">Product analytics provides actionable insights to help you understand <a href=\"https:\/\/userpilot.com\/blog\/customer-wants-and-needs-analysis\/\" target=\"_blank\" rel=\"noopener noreferrer\">user needs<\/a> and behaviors. Instead of guessing, you see exactly where customers drop off, which features drive stickiness, and what separates your power users from detractors.<\/p>\n<p data-block-id=\"7cg41\">In practice, this translates to:<\/p>\n<ul>\n<li><strong>Faster onboarding:<\/strong> <a href=\"https:\/\/userpilot.com\/blog\/user-friction\/\" target=\"_blank\" rel=\"noopener noreferrer\">Spot friction<\/a> early and guide new users to value sooner.<\/li>\n<li><strong>Reduced churn:<\/strong> Identify warning signals before customers leave, and fix the experience in real time.<\/li>\n<li><strong>Higher expansion revenue:<\/strong> Understand which behaviors predict upgrades, then double down on them.<\/li>\n<\/ul>\n<p data-block-id=\"3i0u5\">And there&#8217;s data to back it up. In a <a href=\"https:\/\/www.productledalliance.com\/the-state-of-product-analytics-report\/\" target=\"_blank\" rel=\"nofollow noopener\">2024 Product-Led Alliance survey<\/a>, 32.3% of respondents cited revenue growth as their primary goal with product analytics, followed by user retention (29.8%) and activation (23.4%). More than two-thirds said analytics visibly helped them achieve these outcomes.<\/p>\n<p><!-- Interactive Lead Gen Piece Container --><\/p>\n<div id=\"up-lead-gen-container\">\n<p><!-- Progress Bar --><\/p>\n<div id=\"up-progress-bar-container\">\n<div id=\"up-progress-bar\"><\/div>\n<\/div>\n<p><!-- Stage 1: Main Challenge --><\/p>\n<div id=\"up-stage-1\" class=\"up-stage active\">\n<h3>What&#8217;s your biggest challenge with product analytics right now?<\/h3>\n<div class=\"up-options\"><button class=\"up-option-btn\">Understanding user behavior<\/button><br \/>\n<button class=\"up-option-btn\">Improving user activation<\/button><br \/>\n<button class=\"up-option-btn\">Increasing feature adoption<\/button><br \/>\n<button class=\"up-option-btn\">Reducing churn<\/button><\/div>\n<\/div>\n<p><!-- Stage 2: Current Tools --><\/p>\n<div id=\"up-stage-2\" class=\"up-stage\">\n<h3>Which tools are you currently using for product analytics?<\/h3>\n<div class=\"up-options\"><button class=\"up-option-btn\">Google Analytics<\/button><br \/>\n<button class=\"up-option-btn\">A mix of different tools<\/button><br \/>\n<button class=\"up-option-btn\">A dedicated product analytics platform<\/button><br \/>\n<button class=\"up-option-btn\">We&#8217;re just getting started<\/button><\/div>\n<\/div>\n<p><!-- Stage 3: Goal --><\/p>\n<div id=\"up-stage-3\" class=\"up-stage\">\n<h3>What is your main goal with analyzing product analytics examples like these?<\/h3>\n<div class=\"up-options\"><button class=\"up-option-btn\">Build a business case for a new tool<\/button><br \/>\n<button class=\"up-option-btn\">Find actionable ideas to implement<\/button><br \/>\n<button class=\"up-option-btn\">Learn best practices<\/button><br \/>\n<button class=\"up-option-btn\">Just exploring<\/button><\/div>\n<\/div>\n<p><!-- Stage 4: Final CTA --><\/p>\n<div id=\"up-stage-4\" class=\"up-stage\">\n<h3>Ready to see actionable product analytics examples in your own product?<\/h3>\n<p>Stop guessing and start seeing. Userpilot can help you track user behavior, build beautiful in-app onboarding, and increase feature adoption. Get a personalized demo to see how.<\/p>\n<div class=\"up-options\"><button id=\"up-final-cta\">Get a Demo<\/button><\/div>\n<\/div>\n<\/div>\n<p><!-- Link to the JavaScript file you will upload to your media library --><br \/>\n<script defer src=\"https:\/\/userpilot.com\/blog\/wp-content\/uploads\/2025\/08\/product-analytics-examples.js\"><\/script><\/p>\n<h2 id=\"1hi85\" data-block-id=\"1hi85\"><strong>Who does product analytics help?<\/strong><\/h2>\n<p data-block-id=\"ddbs3\">It&#8217;s easy to think product analytics benefits only product managers. But in reality, its impact cuts across the entire SaaS organization.<\/p>\n<p data-block-id=\"2hsjf\">Take Userpilot, for example. Here&#8217;s how different teams in our company put product insights to work:<\/p>\n<ul>\n<li><strong>Product teams<\/strong> use analytics to <a href=\"https:\/\/userpilot.com\/blog\/feature-prioritization\/\" target=\"_blank\" rel=\"noopener noreferrer\">prioritize features<\/a>, track adoption, and spot drop-offs in real time. It\u2019s a faster, more reliable user feedback loop than relying solely on surveys or customer interviews.<\/li>\n<li><strong>UX designers <\/strong>analyze behavioral data to see how users interact with interfaces, where they hesitate, and which elements underperform, then refine user flows for better usability.<\/li>\n<li><strong>Growth strategists <\/strong>depend on user behavior data to build, test, and measure growth ideas. For example, they might <a href=\"https:\/\/userpilot.com\/blog\/drop-off-analysis\/\" target=\"_blank\" rel=\"noopener noreferrer\">track funnel drop-offs<\/a> in onboarding, experiment with in-app nudges to improve conversion, or analyze which campaigns lead to lasting user engagement.<\/li>\n<li><strong><a href=\"https:\/\/userpilot.com\/blog\/saas-customer-success-guide\/\">Customer success teams<\/a> <\/strong>track usage patterns and feature adoption to identify <a href=\"https:\/\/userpilot.com\/blog\/at-risk-customers\/\" target=\"_blank\" rel=\"noopener noreferrer\">at-risk accounts<\/a> early, reduce churn, and proactively offer help.<\/li>\n<li><strong>Development teams <\/strong>leverage error tracking and event data to debug issues faster, prioritize fixes that affect the most users, and improve release quality.<\/li>\n<li><strong>Marketing &amp; sales <\/strong>use data analytics to segment audiences based on actual product behavior (not just demographics). This helps them run sharper campaigns, qualify leads, and uncover <a href=\"https:\/\/userpilot.com\/blog\/upsell-opportunities-saas\/\" target=\"_blank\" rel=\"noopener noreferrer\">upsell opportunities<\/a> faster.<\/li>\n<\/ul>\n<p data-block-id=\"472t6\">From our experience, the best results come when these teams share insights rather than operate in silos. The latter keeps teams busy but blind, while the former transforms analytics into a collective growth engine.<\/p>\n<p><!--ARCADE EMBED START--><\/p>\n<div style=\"position: relative; padding-bottom: calc(56.8027% + 41px); height: 0px; width: 100%;\"><iframe style=\"position: absolute; top: 0; left: 0; width: 100%; height: 100%; color-scheme: light;\" title=\"Product Analytics\" src=\"https:\/\/sw11.userpilot.com\/2vKrdyNnsiHwTtGnBWmb?embed&amp;embed_mobile=tab&amp;embed_desktop=inline&amp;show_copy_link=true\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\"><\/iframe><\/div>\n<h2 id=\"446cv\" data-block-id=\"446cv\"><strong>7 Real-life SaaS product analytics examples<\/strong><\/h2>\n<p data-block-id=\"b2d49\">From onboarding to retention and revenue expansion, the examples I&#8217;ve handpicked show how SaaS teams use analytics to fuel success:<\/p>\n<h3 id=\"9pqki\" data-block-id=\"9pqki\"><strong>1. Cuvama: Using path analysis to resolve errors and build trust<\/strong><\/h3>\n<p data-block-id=\"dqmif\">Cuvama is a value-selling platform that helps sales teams demonstrate business impact and close deals with confidence.<\/p>\n<p data-block-id=\"col3v\">But they also knew customer success starts with something simpler: user confidence in their own platform. To strengthen this, the team used Userpilot\u2019s path analysis tool to automatically track user behavior and ensure customers were moving smoothly through key product areas.<\/p>\n<p data-block-id=\"302f4\">That&#8217;s when they spotted something unusual. A handful of users were encountering persistent error messages. Because these users never filed <a href=\"https:\/\/userpilot.com\/blog\/how-to-reduce-support-ticket-volume\/\" target=\"_blank\" rel=\"noopener noreferrer\">support tickets<\/a>, the issue remained invisible, quietly creating frustration.<\/p>\n<p data-block-id=\"ucp\">To resolve the issue, Customer Experience Lead Leyre Iniguez drilled down into the affected segment using Userpilot&#8217;s user profiles feature. This allowed her to identify exactly who had run into the error, then reach out to each user personally to explain the issue and offer a fix.<\/p>\n<figure class=\"image strchf-type-image regular strchf-size-regular strchf-align-center\"><picture><source srcset=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/10\/image-21_969c9478a4de1e993301e061ab064d11_800.jpg 1x\" media=\"(max-width: 768px)\" \/><source srcset=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/10\/image-21_969c9478a4de1e993301e061ab064d11_800.jpg 1x\" media=\"(min-width: 769px)\" \/><img decoding=\"async\" src=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/10\/image-21_969c9478a4de1e993301e061ab064d11_800.jpg\" alt=\"cuvama-product-analytics-example.png\" \/><\/picture><figcaption>Cuvama\u2019s user profile data in <a href=\"https:\/\/userpilot.com\/userpilot-demo\/\" target=\"_blank\" rel=\"noopener noreferrer\">Userpilot<\/a>.<\/figcaption><\/figure>\n<p data-block-id=\"3e9dk\">In her words,<\/p>\n<blockquote data-block-id=\"68o8m\"><p><em>&#8220;I love the user profiles feature. I can come here and directly see who is my user who is having those problems so I can directly contact the person and check out what\u2019s going on.\u201d<\/em> \u2013 Leyre Iniguez, Customer Experience Lead<\/p><\/blockquote>\n<p data-block-id=\"f4f05\">\u200bCuvama\u2019s proactive approach showed customers that the company was paying attention, and it resulted in higher customer satisfaction, stronger trust, and a smoother user experience across the board.<\/p>\n<figure class=\"embed strchf-type-embed regular strchf-size-regular strchf-align-center\">\n<div class=\"embed-container\">\n<div class=\"bookmark-container\" style=\"display: flex;\">\n<p>&nbsp;<\/p>\n<div class=\"bookmark-focusable\" style=\"user-select: none; transition: background 20ms ease-in 0s; cursor: pointer; width: 100%; display: flex; flex-wrap: wrap-reverse; align-items: stretch; text-align: left; overflow: hidden; border: 1px solid rgba(55, 53, 47, 0.16); border-radius: 3px; position: relative; color: inherit;\">\n<div style=\"flex: 4 1 180px; padding: 12px 14px 14px; overflow: hidden; text-align: left;\">\n<div class=\"bookmark-title\" style=\"font-size: 14px; line-height: 20px; color: #37352f; white-space: nowrap; overflow: hidden; text-overflow: ellipsis; min-height: 24px; margin-bottom: 2px;\">How an Ex-Pendo Customer Found Better Value for Money and Usability with Userpilot<\/div>\n<div class=\"bookmark-description\" style=\"font-size: 12px; line-height: 16px; color: rgba(55, 53, 47, 0.6); height: 32px; overflow: hidden;\">Learn how Cuvama shifted from a difficult-to-configure Pendo to a user-friendly Userpilot, using its features to improve user experiences.<\/div>\n<div class=\"bookmark-domain\" style=\"display: flex; margin-top: 6px;\">\n<div style=\"font-size: 12px; line-height: 16px; color: #37352f; white-space: nowrap; overflow: hidden; text-overflow: ellipsis;\">userpilot.com<\/div>\n<\/div>\n<\/div>\n<div class=\"bookmark-image\" style=\"flex: 1 1 180px; display: block; position: relative;\">\n<div style=\"position: absolute; top: 0; left: 0; right: 0; bottom: 0;\">\n<div style=\"width: 100%; height: 100%;\"><img decoding=\"async\" style=\"display: block; object-fit: cover; border-radius: 1px; background: white; width: 100%; height: 100%;\" role=\"presentation\" src=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2024\/05\/how-an-ex-pendo-customer-found-better-value-for-money-and-usability-with-userpilot-1_5432047bc7acbee8a24a3672a83fc933_2000.png\" \/><\/div>\n<\/div>\n<\/div>\n<\/div>\n<p>&nbsp;<\/p>\n<\/div>\n<\/div>\n<\/figure>\n<h4 id=\"7taed\" data-block-id=\"7taed\"><strong>Key takeaway<\/strong><\/h4>\n<p data-block-id=\"60lui\">Turn error analytics into a <a href=\"https:\/\/userpilot.com\/blog\/customer-success-strategy\/\" target=\"_blank\" rel=\"noopener noreferrer\">customer success<\/a> tool. Like Cuvama, that might mean reaching out directly to affected users. And if the problem is widespread, loop in your development team, ship a fix, and communicate updates clearly so users know the issue is resolved.<\/p>\n<h3 id=\"b68v5\" data-block-id=\"b68v5\"><strong>2. RecruitNow: Measuring onboarding success with behavioral surveys<\/strong><\/h3>\n<p data-block-id=\"3nr0b\">OnRamp&#8217;s <a href=\"https:\/\/get.onramp.us\/state-of-customer-onboarding\">2025 State of Customer Onboarding Report <\/a>shows 48% of customers abandon onboarding if they don&#8217;t see value quickly.<\/p>\n<p data-block-id=\"7i9pj\">Every customer success team will tell you that the number is probably even higher. Yet <a href=\"https:\/\/onramp.us\/blog\/industry-insights\" target=\"_blank\" rel=\"nofollow noopener\">62% of onboarding leaders<\/a> admit they lack real-time visibility into whether new customers are progressing toward activation, adoption, and renewal milestones. That blind spot often leads to missed engagement opportunities and preventable churn.<\/p>\n<p data-block-id=\"92lb1\">RecruitNow, a Dutch recruitment tech company, found itself in exactly this position. As the business expanded into new markets, relying on face-to-face training was no longer sustainable. They needed a scalable way to <a href=\"https:\/\/userpilot.com\/blog\/customer-onboarding\/\" target=\"_blank\" rel=\"noopener noreferrer\">onboard customers<\/a> while still understanding what was (and wasn\u2019t) working.<\/p>\n<p data-block-id=\"1p57t\">The company turned to Userpilot and built <a href=\"https:\/\/userpilot.com\/blog\/in-app-onboarding\/\">in-app onboarding flows<\/a> that guided users through core features step by step. Once live, they tracked how customers engaged with each interaction, revealing where users were dropping off or hesitating.<\/p>\n<p data-block-id=\"8vmoc\">To make these insights actionable, they paired the flows with behavioral surveys that triggered automatically based on user actions. This gave the team a clear picture of customer progress and surfaced friction points in real time.<\/p>\n<figure class=\"image strchf-type-image regular strchf-size-regular strchf-align-center\"><picture><source srcset=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/10\/image-22_49b38055786c98ce0e33a1c8a036aea2_800.jpg 1x\" media=\"(max-width: 768px)\" \/><source srcset=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/10\/image-22_49b38055786c98ce0e33a1c8a036aea2_800.jpg 1x\" media=\"(min-width: 769px)\" \/><img decoding=\"async\" src=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/10\/image-22_49b38055786c98ce0e33a1c8a036aea2_800.jpg\" alt=\"recruitnew-in-app-surveys-product-analytics-examples.png\" \/><\/picture><figcaption>RecruitNow&#8217;s localized onboarding surveys created in <a href=\"https:\/\/userpilot.com\/userpilot-demo\/\" target=\"_blank\" rel=\"noopener noreferrer\">Userpilot<\/a>.<\/figcaption><\/figure>\n<p data-block-id=\"78vrm\">The result? This data-driven approach cut onboarding time from hundreds of hours a month to just 4. RecruitNow&#8217;s user training became consistent, scalable, and measurable, without the need to expand its customer success team.<\/p>\n<figure class=\"embed strchf-type-embed regular strchf-size-regular strchf-align-center\">\n<div class=\"embed-container\">\n<div class=\"bookmark-container\" style=\"display: flex;\">\n<p>&nbsp;<\/p>\n<div class=\"bookmark-focusable\" style=\"user-select: none; transition: background 20ms ease-in 0s; cursor: pointer; width: 100%; display: flex; flex-wrap: wrap-reverse; align-items: stretch; text-align: left; overflow: hidden; border: 1px solid rgba(55, 53, 47, 0.16); border-radius: 3px; position: relative; color: inherit;\">\n<div style=\"flex: 4 1 180px; padding: 12px 14px 14px; overflow: hidden; text-align: left;\">\n<div class=\"bookmark-title\" style=\"font-size: 14px; line-height: 20px; color: #37352f; white-space: nowrap; overflow: hidden; text-overflow: ellipsis; min-height: 24px; margin-bottom: 2px;\">How RecruitNow Saved 1,000+ Customer Training Hours With Userpilot<\/div>\n<div class=\"bookmark-description\" style=\"font-size: 12px; line-height: 16px; color: rgba(55, 53, 47, 0.6); height: 32px; overflow: hidden;\">Read this case study to learn how Userpilot helped RecruitNow scale its onboarding processes and facilitate its European expansion.<\/div>\n<div class=\"bookmark-domain\" style=\"display: flex; margin-top: 6px;\">\n<div style=\"font-size: 12px; line-height: 16px; color: #37352f; white-space: nowrap; overflow: hidden; text-overflow: ellipsis;\">userpilot.com<\/div>\n<\/div>\n<\/div>\n<div class=\"bookmark-image\" style=\"flex: 1 1 180px; display: block; position: relative;\">\n<div style=\"position: absolute; top: 0; left: 0; right: 0; bottom: 0;\">\n<div style=\"width: 100%; height: 100%;\"><img decoding=\"async\" style=\"display: block; object-fit: cover; border-radius: 1px; background: white; width: 100%; height: 100%;\" role=\"presentation\" src=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2024\/06\/how-recruitnow-saved-1000-plus-customer-training-hours-with-userpilot_1cf8906a19397ed2737cdb845540e4c5_2000.png\" \/><\/div>\n<\/div>\n<\/div>\n<\/div>\n<p>&nbsp;<\/p>\n<\/div>\n<\/div>\n<\/figure>\n<h3 id=\"f0di6\" data-block-id=\"f0di6\"><strong>Key takeaway<\/strong><\/h3>\n<p data-block-id=\"8c03m\">Trigger <a href=\"https:\/\/userpilot.com\/blog\/in-app-surveys\/\" target=\"_blank\" rel=\"noopener noreferrer\">in-app surveys<\/a> immediately after users complete onboarding milestones. This helps you capture fresh, specific feedback you can act on quickly.<\/p>\n<p data-block-id=\"9s5al\">And to close the loop, use a no-code product analytics and engagement tool like Userpilot to iterate on your flows fast without waiting on engineering support.<\/p>\n<h3 id=\"cp1l1\" data-block-id=\"cp1l1\"><strong>3. ClearCalcs: Using cohort analysis to shorten time-to-value<\/strong><\/h3>\n<p data-block-id=\"f9q0p\">Remember how I mentioned that customers will abandon onboarding if they don\u2019t see value fast enough? ClearCalcs experienced this first-hand.<\/p>\n<p data-block-id=\"27f8m\">The company provides structural design calculators that help engineers work faster, but many new users dropped off within minutes if they couldn\u2019t find the exact calculator they needed.<\/p>\n<p data-block-id=\"b5cg6\">To tackle this, ClearCalcs turned to Userpilot. They created a welcome flow that asked new users about their job roles, goals, and company size. This did two things at once: it allowed ClearCalcs to deliver personalized onboarding experiences, and it gave the team rich data for running <a href=\"https:\/\/userpilot.com\/blog\/cohort-analysis\/\">cohort analysis over<\/a> time.<\/p>\n<figure class=\"image strchf-type-image regular strchf-size-regular strchf-align-center\"><picture><source srcset=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/10\/image-21_b601bdc89f1b33cc85182e61d12407fd_800.jpg 1x\" media=\"(max-width: 768px)\" \/><source srcset=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/10\/image-21_b601bdc89f1b33cc85182e61d12407fd_800.jpg 1x\" media=\"(min-width: 769px)\" \/><img decoding=\"async\" src=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/10\/image-21_b601bdc89f1b33cc85182e61d12407fd_800.jpg\" alt=\"Clearcalcs-product-analytics-examples.png\" \/><\/picture><figcaption>ClearCalcs\u2019 activation cohort analysis.<\/figcaption><\/figure>\n<p data-block-id=\"8ptls\">ClearCalcs compared engagement patterns across different cohorts, such as engineers and architects, trialists and paid accounts, or small teams and large organizations. This analysis revealed trends and friction points that weren\u2019t visible in aggregate data.<\/p>\n<p data-block-id=\"4ohds\">Armed with these valuable insights, the team ran in-app experiments that guided users to value faster and improved activation rates.<\/p>\n<blockquote data-block-id=\"f54c4\"><p><em>\u201cThe value that Userpilot creates for us is that it lets us test things that we can\u2019t necessarily allocate dev resources to\u201d &#8211; Chris Borzillo, CEO and founder of ClearCalcs. <\/em><\/p><\/blockquote>\n<figure class=\"embed strchf-type-embed regular strchf-size-regular strchf-align-center\">\n<div class=\"embed-container\">\n<div class=\"bookmark-container\" style=\"display: flex;\">\n<p>&nbsp;<\/p>\n<div class=\"bookmark-focusable\" style=\"user-select: none; transition: background 20ms ease-in 0s; cursor: pointer; width: 100%; display: flex; flex-wrap: wrap-reverse; align-items: stretch; text-align: left; overflow: hidden; border: 1px solid rgba(55, 53, 47, 0.16); border-radius: 3px; position: relative; color: inherit;\">\n<div style=\"flex: 4 1 180px; padding: 12px 14px 14px; overflow: hidden; text-align: left;\">\n<div class=\"bookmark-title\" style=\"font-size: 14px; line-height: 20px; color: #37352f; white-space: nowrap; overflow: hidden; text-overflow: ellipsis; min-height: 24px; margin-bottom: 2px;\">How ClearCalcs Improves User Activation With Cohort Analysis<\/div>\n<div class=\"bookmark-description\" style=\"font-size: 12px; line-height: 16px; color: rgba(55, 53, 47, 0.6); height: 32px; overflow: hidden;\">Learn how ClearCalcs uses Userpilot to improve its new user activation rates with cohort analysis + bespoke in-app onboarding experiences!<\/div>\n<div class=\"bookmark-domain\" style=\"display: flex; margin-top: 6px;\">\n<div style=\"font-size: 12px; line-height: 16px; color: #37352f; white-space: nowrap; overflow: hidden; text-overflow: ellipsis;\">userpilot.com<\/div>\n<\/div>\n<\/div>\n<div class=\"bookmark-image\" style=\"flex: 1 1 180px; display: block; position: relative;\">\n<div style=\"position: absolute; top: 0; left: 0; right: 0; bottom: 0;\">\n<div style=\"width: 100%; height: 100%;\"><img decoding=\"async\" style=\"display: block; object-fit: cover; border-radius: 1px; background: white; width: 100%; height: 100%;\" role=\"presentation\" src=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2023\/03\/How-ClearCalcs-Improves-User-Activation-With-Cohort-Analysis.png\" \/><\/div>\n<\/div>\n<\/div>\n<\/div>\n<p>&nbsp;<\/p>\n<\/div>\n<\/div>\n<\/figure>\n<h4 id=\"ukv\" data-block-id=\"ukv\"><strong>Key takeaway<\/strong><\/h4>\n<p data-block-id=\"fosrm\">Use <a href=\"https:\/\/userpilot.com\/blog\/cohort-analysis\/\" target=\"_blank\" rel=\"noopener noreferrer\">cohort analysis<\/a> to go beyond averages. Segment users by role, company size, or goals, and track their activation separately. The differences will highlight hidden friction points and give you the clarity to design targeted experiments that cut time-to-value.<\/p>\n<h3 id=\"263c3\" data-block-id=\"263c3\"><strong>4. Pictory: Segmenting high-LTV customers to boost conversions<\/strong><\/h3>\n<p data-block-id=\"344nf\">While ClearCalcs focused on user activation and shortening <a href=\"https:\/\/userpilot.com\/blog\/time-to-value\/\" target=\"_blank\" rel=\"noopener noreferrer\">time-to-value<\/a>, Pictory wanted to boost revenue by zeroing in on the customers most likely to convert and stick around.<\/p>\n<p data-block-id=\"fcrl1\">Pictory&#8217;s approach centered on detailed segmentation. They broke down their user base by factors such as location, industry, job title, and behavior, then tracked key product and business metrics for each segment. The result was the creation of a clear Ideal Customer Profile (ICP) worth doubling down on.<\/p>\n<p data-block-id=\"5c94d\">With that ICP in place, Pictory tailored its product development and <a href=\"https:\/\/userpilot.com\/blog\/marketing-growth-strategy\/\" target=\"_blank\" rel=\"noopener noreferrer\">marketing strategies<\/a> toward the users who mattered most.<\/p>\n<p data-block-id=\"4tgjv\">Cohort analysis then helped the team monitor engagement patterns over time, revealing which features drove stronger retention and which behaviors signaled <a href=\"https:\/\/userpilot.com\/blog\/churn-risk\/\">churn risk<\/a>. Acting on these insights led to a measurable impact: a 16% lift in conversions and churn reduced by half, from 30% to 15%.<\/p>\n<h3 id=\"9sarl\" data-block-id=\"9sarl\"><strong>Key takeaway<\/strong><\/h3>\n<p data-block-id=\"fsu94\">Your product may be attracting a diverse user group, but it can&#8217;t serve everyone satisfactorily.<\/p>\n<p data-block-id=\"e25gp\">Focus on identifying your high-LTV customers, then pay close attention to meeting their needs and optimizing their journey. This will help you increase conversions, <a href=\"https:\/\/userpilot.com\/blog\/reduce-churn-rate\/\" target=\"_blank\" rel=\"noopener noreferrer\">reduce churn<\/a>, and build a more sustainable growth engine.<\/p>\n<h3 id=\"a9qbr\" data-block-id=\"a9qbr\"><strong>5. LinkedIn: Using predictive account prioritization to increase renewals<\/strong><\/h3>\n<p data-block-id=\"32fvm\">LinkedIn has access to a vast amount of <a href=\"https:\/\/userpilot.com\/blog\/analyze-customer-data\/\" target=\"_blank\" rel=\"noopener noreferrer\">customer data<\/a>, but turning that information into actionable insights is what drives real growth. To help its teams prioritize where to focus, LinkedIn developed Account Prioritizer, a feature within its CRM designed to surface accounts with the highest upsell and renewal potential.<\/p>\n<p data-block-id=\"8amio\">The tool analyzes usage frequency, feature adoption, team size, and engagement signals to predict which customers are most likely to renew or upgrade. Instead of relying on gut feeling, sales and customer success teams get a ranked view of accounts with the greatest potential impact.<\/p>\n<p data-block-id=\"b8q70\">This predictive layer helps LinkedIn proactively engage customers before renewal dates arrive or churn risks appear. It also puts high-value accounts at the center of attention at the right time, which leads to stronger customer relationships and better revenue outcomes. In fact, LinkedIn&#8217;s internal A\/B testing revealed that Account Prioritizer drove an <a href=\"https:\/\/arxiv.org\/html\/2306.07464\" target=\"_blank\" rel=\"nofollow noopener\">+8.08% increase in renewal bookings<\/a>.<\/p>\n<h4 id=\"aenvu\" data-block-id=\"aenvu\"><strong>Key takeaway<\/strong><\/h4>\n<p data-block-id=\"7hvbe\">The true power of product analytics isn&#8217;t just explaining what happened; it&#8217;s anticipating what will happen next.<\/p>\n<p data-block-id=\"93ghk\">Use product analytics software like Userpilot to analyze customer behavior, predict actions, and set automated signals to help you act decisively. For example, you can <a href=\"https:\/\/userpilot.com\/blog\/userpilot-event-tracking\/\" target=\"_blank\" rel=\"noopener noreferrer\">set up custom events<\/a> to flag when a customer reaches the limits of their current plan or engages heavily with premium features. This creates a natural upsell opportunity. Similarly, you can detect declining activity in renewal-critical accounts and trigger in-app nudges or personalized outreach before churn risk escalates.<\/p>\n<h3 id=\"cboa0\" data-block-id=\"cboa0\"><strong>6. DocuSign: A\/B testing to boost onboarding and upgrades<\/strong><\/h3>\n<p data-block-id=\"4p19a\">DocuSign is a leading digital transaction management platform with millions of users worldwide. But that scale also meant big challenges: <a href=\"https:\/\/userpilot.com\/blog\/free-to-paid-conversion-strategy\/\" target=\"_blank\" rel=\"noopener noreferrer\">free users<\/a> weren&#8217;t always converting, and too many new signers dropped off before creating an account or sending their first document.<\/p>\n<p data-block-id=\"1tkim\">To fix that, the team turned to product analytics. They mapped the entire customer journey from initial sign-up to paid upgrade, used <a href=\"https:\/\/userpilot.com\/blog\/funnel-tracking\/\">funnel tracking<\/a> to spot key drop-off points, and then ran <a href=\"https:\/\/userpilot.com\/blog\/ab-testing-product-management\/\" target=\"_blank\" rel=\"noopener noreferrer\">A\/B tests<\/a> to experiment with different onboarding paths.<\/p>\n<p data-block-id=\"8puh3\">One experiment exposed premium features to free users, which delivered a 5% lift in upgrades. Another streamlined the account creation process, leading to a 15% increase in new signer accounts.<\/p>\n<p data-block-id=\"4gmbl\">The most impactful change came when DocuSign introduced a guided first-time experience. Instead of leaving new users to explore the app alone, they walked them through sending a document right away. This shift led to a 10% boost in sign-to-send conversions, which is one of DocuSign&#8217;s core activation points.<\/p>\n<h4 id=\"esuvu\" data-block-id=\"esuvu\"><strong>Key takeaway<\/strong><\/h4>\n<p data-block-id=\"c9iom\">A\/B testing isn&#8217;t just for landing pages. Use it inside your product to test <a href=\"https:\/\/userpilot.com\/blog\/user-onboarding-flow\/\" target=\"_blank\" rel=\"noopener noreferrer\">onboarding flows<\/a>, paywall prompts, or feature exposure. Even small improvements at these stages can compound into big gains in adoption, upgrades, and customer lifetime value.<\/p>\n<h3 id=\"8uij5\" data-block-id=\"8uij5\"><strong>7. Shopify: Using analytics to improve merchant reporting speed<\/strong><\/h3>\n<p data-block-id=\"do9an\">For a platform that powers millions of businesses worldwide, Shopify knows every second counts. Merchants depend on timely reports to decide what products to promote, when to restock inventory, or how to tweak campaigns.<\/p>\n<p data-block-id=\"apkuh\">But traditional reporting was often too slow and left teams waiting for insights instead of acting on them in real time.<\/p>\n<p data-block-id=\"8hgvf\">Shopify solved the problem by overhauling its analytics infrastructure. They enhanced real-time reporting so merchants could view up-to-the-minute sales and performance data without delays. On top of that, they introduced reusable reporting templates that let teams generate tailored reports quickly instead of rebuilding them from scratch. Customizable dashboards gave merchants an easier way to track key metrics at a glance.<\/p>\n<p data-block-id=\"dl3u3\">The result was faster decision-making across merchant teams who could now react to trends as they happened. For example, Decathlon, one of Shopify\u2019s largest customers, reported 50% faster reporting and 60% faster data analysis <a href=\"https:\/\/www.shopify.com\/nl\/case-studies\/decathlon\" target=\"_blank\" rel=\"nofollow noopener\">after adopting ShopifyQL Notebooks<\/a>.<\/p>\n<h4 id=\"ju64\" data-block-id=\"ju64\"><strong>Key takeaway<\/strong><\/h4>\n<p data-block-id=\"ampp4\">Look for ways to streamline how your customers (or teams) interact with insights. Like Shopify, you could enable real-time <a href=\"https:\/\/userpilot.com\/blog\/userpilot-custom-analytics-dashboards\/\" target=\"_blank\" rel=\"noopener noreferrer\">analytics dashboards<\/a> or create templates that cut down reporting time.<\/p>\n<p data-block-id=\"e28am\">Don\u2019t have the bandwidth to build internal solutions? Userpilot can help you perform all these functions without writing a line of code and freeing up time to focus on other activities.<\/p>\n<h2 id=\"c1f6b\" data-block-id=\"c1f6b\"><strong>How to make product analytics actionable in your SaaS<\/strong><\/h2>\n<p data-block-id=\"498pk\">Looking at product analytics examples is inspiring, but the real growth happens when you actually implement product analytics in practice.<\/p>\n<p data-block-id=\"eg82e\">In this section, I\u2019ll share practical steps drawn from our work on Userpilot and with our customers that show how to move from simply tracking metrics to driving measurable results in onboarding, retention, and revenue.<\/p>\n<h3 id=\"1jkhl\" data-block-id=\"1jkhl\"><strong>1. Identify the right metrics for your stage<\/strong><\/h3>\n<p data-block-id=\"bj31s\">From working with SaaS teams, I&#8217;ve seen that the right metrics depend on where your company is in its growth journey. Here&#8217;s how to think about metrics at different growth stages:<\/p>\n<ul>\n<li><strong>Early-stage SaaS:<\/strong> Focus on <a href=\"https:\/\/userpilot.com\/blog\/user-activation-for-saas\/\" target=\"_blank\" rel=\"noopener noreferrer\">activation rate<\/a>, time-to-value, and engagement with core features. At this stage, your biggest question is: <em>are users experiencing value quickly enough to stick around?<\/em> ClearCalcs, for example, improved activation by using cohort analysis to guide different user types to value faster.<\/li>\n<li><strong>Scaling SaaS:<\/strong> Once you have traction, you need to dig deeper into feature adoption by segment, retention cohorts, and triggers for expansion or upsells. Pictory took this approach, segmenting users by industry and behavior to zero in on high-LTV customers and <a href=\"https:\/\/userpilot.com\/blog\/customer-retention-strategies\/\" target=\"_blank\" rel=\"noopener noreferrer\">maximize retention<\/a>.<\/li>\n<li><strong>Enterprise SaaS:<\/strong> When you&#8217;re operating at scale, the focus shifts to account-level health scores, role-based <a href=\"https:\/\/userpilot.com\/blog\/product-usage\/\" target=\"_blank\" rel=\"noopener noreferrer\">usage patterns<\/a>, and product or feature adoption across entire departments. LinkedIn provides a strong example here. Remember how the company used its Account Prioritizer to spot upsell opportunities and churn risks at the account level rather than just individual users.<\/li>\n<\/ul>\n<h3 id=\"e4uav\" data-block-id=\"e4uav\"><strong>2. Choose product analytics tools that fit your workflow<\/strong><\/h3>\n<p data-block-id=\"a2khv\">After deciding on your key performance indicators, the next step is to choose a product analytics tool that will help you track and improve them.<\/p>\n<p data-block-id=\"2nn5m\">There are tons of <a href=\"https:\/\/userpilot.com\/blog\/product-analytics-tools\/\" target=\"_blank\" rel=\"noopener noreferrer\">analytics solutions<\/a>, and it&#8217;s understandably easy to get confused about what to choose.<\/p>\n<p data-block-id=\"549b3\">Here&#8217;s what I tell SaaS teams: the <a href=\"https:\/\/userpilot.com\/blog\/product-analytics-tools\/\">best product analytics tools<\/a> aren\u2019t the ones with the longest feature lists, but the ones that fit seamlessly into your workflow<\/p>\n<p data-block-id=\"fhvhv\">Some teams need lightweight solutions that complement existing reporting tools, while others need deeper behavioral tracking and in-app engagement features. The key is to match the tool with how your team actually makes decisions day-to-day.<\/p>\n<h4 id=\"54t0f\" data-block-id=\"54t0f\"><strong>Is Google Analytics enough for product analytics?<\/strong><\/h4>\n<p data-block-id=\"9d5as\">I get this question a lot. And the short answer is no.<\/p>\n<p data-block-id=\"86igi\">Google Analytics and other popular tools like Adobe Analytics and Heap are great, but they&#8217;re limited when it comes to tracking granular user behavior data.<\/p>\n<p data-block-id=\"6dlgi\">Here&#8217;s the thing about GA: it&#8217;s built for <a href=\"https:\/\/userpilot.com\/blog\/marketing-analytics\/\" target=\"_blank\" rel=\"noopener noreferrer\">marketing analytics<\/a>, not product teams. It&#8217;s fantastic for traffic sources and website conversions, but it falls short when you need deep insights into how users engage with your product. My team doesn&#8217;t rely on it for product decisions, and here&#8217;s why:<\/p>\n<ul>\n<li><strong>Limited depth on user behavior:<\/strong> GA focuses on sessions and page views, not the step-by-step breakdown of how users interact with features.<\/li>\n<li><strong>No true product analytics tracking:<\/strong> Feature usage, onboarding completion, and activation milestones require heavy custom setup and still lack rich context.<\/li>\n<li><strong>Opaque data processing:<\/strong> Google applies its own logic to group sessions and identify users, leaving little transparency or control over how data is calculated.<\/li>\n<\/ul>\n<h4 id=\"bvopo\" data-block-id=\"bvopo\"><strong>\ud83d\udca1Why Userpilot is a standout product analytics solution<\/strong><\/h4>\n<p data-block-id=\"2g2n7\">If Google Analytics gives you the \u201cwhat\u201d at a surface level, Userpilot gives you the \u201cwhy\u201d and the \u201chow\u201d right inside your product. It\u2019s built for SaaS teams that need to understand user behavior in real time <em>and<\/em> act on it without waiting on engineering.<\/p>\n<p data-block-id=\"7tioh\">Here\u2019s where Userpilot stands out:<\/p>\n<ul>\n<li><strong>Behavioral tracking without heavy engineering: <\/strong>With Userpilot\u2019s <a href=\"https:\/\/userpilot.com\/blog\/userpilot-autocapture\/\" target=\"_blank\" rel=\"noopener noreferrer\">auto-capture<\/a> and session replay, you don\u2019t need developers wiring up endless custom events. Every click, hover, and form fill is logged automatically, so you can view user interactions with each feature. For example, if you notice 60% of trial users drop off after clicking \u201cStart free trial\u201d but never complete step two, you can rewind the session to see where hesitation crept in and fix it.<\/li>\n<\/ul>\n<figure class=\"image strchf-type-image regular strchf-size-regular strchf-align-center\"><picture><source srcset=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/10\/example-of-event_6cc564888975b3bd1e1ce4244ce45919_800.jpg 1x, https:\/\/images.storychief.com\/account_6827\/example-of-event_6cc564888975b3bd1e1ce4244ce45919_1600.jpg 2x\" media=\"(max-width: 768px)\" \/><source srcset=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/10\/example-of-event_6cc564888975b3bd1e1ce4244ce45919_800.jpg 1x, https:\/\/images.storychief.com\/account_6827\/example-of-event_6cc564888975b3bd1e1ce4244ce45919_1600.jpg 2x\" media=\"(min-width: 769px)\" \/><img decoding=\"async\" src=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/10\/example-of-event_6cc564888975b3bd1e1ce4244ce45919_800.jpg\" alt=\"event-tracking-with-Userpilot.png\" \/><\/picture><figcaption>Track granular product analytics data with <a href=\"https:\/\/userpilot.com\/userpilot-demo\/\" target=\"_blank\" rel=\"noopener noreferrer\">Userpilot<\/a>.<\/figcaption><\/figure>\n<ul>\n<li><strong>Built-in segmentation and cohort analysis: <\/strong>With Userpilot, you can slice usage by plan, role, or geography, then run cohort analysis to see how behaviors evolve. This lets you uncover data insights that explain why certain users adopt faster or churn sooner. Additionally, Userpilot tracks behaviors across web and mobile apps to give you a complete picture to act on.<\/li>\n<\/ul>\n<figure class=\"image strchf-type-image regular strchf-size-regular strchf-align-center\"><picture><source srcset=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/10\/new-users-segmentpng_b1b612b10dea6f024772ac53c17b7326_800.png 1x, https:\/\/images.storychief.com\/account_6827\/new-users-segmentpng_b1b612b10dea6f024772ac53c17b7326_1600.png 2x\" media=\"(max-width: 768px)\" \/><source srcset=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/10\/new-users-segmentpng_b1b612b10dea6f024772ac53c17b7326_800.png 1x, https:\/\/images.storychief.com\/account_6827\/new-users-segmentpng_b1b612b10dea6f024772ac53c17b7326_1600.png 2x\" media=\"(min-width: 769px)\" \/><img decoding=\"async\" src=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/10\/new-users-segmentpng_b1b612b10dea6f024772ac53c17b7326_800.png\" alt=\"new-users-segment-product-analytics-examples.png\" \/><\/picture><figcaption>Create advanced user segments and study customers better with <a href=\"https:\/\/userpilot.com\/userpilot-demo\/\" target=\"_blank\" rel=\"noopener noreferrer\">Userpilot<\/a>.<\/figcaption><\/figure>\n<ul>\n<li><strong>In-app guidance and nudges from the same platform: <\/strong>Analytics alone doesn&#8217;t solve problems, action does. That&#8217;s why Userpilot lets you launch UI patterns like tooltips, modals, slideouts, and checklists code-free. Say you find that only 30% of users activate a new integration. Instead of exporting that data elsewhere, you can trigger a contextual nudge the moment they hit the relevant screen. For mobile, you can extend this reach with <a href=\"https:\/\/userpilot.com\/blog\/push-notification-best-practices\/\" target=\"_blank\" rel=\"noopener noreferrer\">push notifications<\/a> and help users stay engaged across devices. And because analytics and engagement live together, you get a unified view of the entire product experience.<\/li>\n<\/ul>\n<figure class=\"image strchf-type-image regular strchf-size-regular strchf-align-center\"><picture><source srcset=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/10\/image-21_403b36a6ee645fe12360fa326fec9169_800.jpg 1x\" media=\"(max-width: 768px)\" \/><source srcset=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/10\/image-21_403b36a6ee645fe12360fa326fec9169_800.jpg 1x\" media=\"(min-width: 769px)\" \/><img decoding=\"async\" src=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/10\/image-21_403b36a6ee645fe12360fa326fec9169_800.jpg\" alt=\"mobile-engagement-data-product-analytics-examples.png\" \/><\/picture><figcaption>Track cross-platform interactions and optimize user journeys easily with <a href=\"https:\/\/userpilot.com\/userpilot-demo\/\" target=\"_blank\" rel=\"noopener noreferrer\">Userpilot<\/a>.<\/figcaption><\/figure>\n<h3 id=\"apsjf\" data-block-id=\"apsjf\"><strong>3. Close the loop: Act on real-time data<\/strong><\/h3>\n<p data-block-id=\"433ct\">If you spot trends but wait weeks to respond, you&#8217;re most likely already losing the window to make an impact.<\/p>\n<p data-block-id=\"e6snk\">Here are some examples of actions you can take immediately after analyzing customer data:<\/p>\n<ul>\n<li><strong>Trigger onboarding nudges:<\/strong> If a <a href=\"https:\/\/userpilot.com\/blog\/new-feature-onboarding\/\" target=\"_blank\" rel=\"noopener noreferrer\">new feature<\/a> is underused, you can immediately surface a tooltip or walkthrough to guide users toward it.<\/li>\n<li><strong>Launch retention campaigns:<\/strong> When accounts show early churn signals, trigger a targeted message before they disengage completely. For example, if usage drops suddenly, you might prompt them with an in-app survey asking what&#8217;s missing or offer a quick-start guide to bring them back on track.<\/li>\n<li><strong>Personalize upsell offers:<\/strong> Instead of blanket promotions, use feature usage patterns to suggest relevant upgrades at just the right moment. For example, with Userpilot, you can set up <a href=\"https:\/\/userpilot.com\/blog\/automated-personalized-emails\/\" target=\"_blank\" rel=\"noopener noreferrer\">automated email<\/a> triggers targeting users who&#8217;ve drifted away. From one no-code workspace, you design the email, schedule delivery, localize the content, and track the email analytics alongside product usage so the upsell offer reaches the right user at the right time.<\/li>\n<\/ul>\n<figure class=\"image strchf-type-image regular strchf-size-regular strchf-align-center\"><picture><source srcset=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/10\/email-conditions-setting_0c3dced67805a060c6bd4219987be57d_800.png 1x\" media=\"(max-width: 768px)\" \/><source srcset=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/10\/email-conditions-setting_0c3dced67805a060c6bd4219987be57d_800.png 1x\" media=\"(min-width: 769px)\" \/><img decoding=\"async\" src=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/10\/email-conditions-setting_0c3dced67805a060c6bd4219987be57d_800.png\" alt=\"Email-conditions-setting-Userpilot.png\" \/><\/picture><figcaption>Setting up targeted emails in <a href=\"https:\/\/userpilot.com\/userpilot-demo\/\" target=\"_blank\" rel=\"noopener noreferrer\">Userpilot<\/a>.<\/figcaption><\/figure>\n<h2 id=\"2jkp2\" data-block-id=\"2jkp2\"><strong>Track, learn, act<\/strong><\/h2>\n<p data-block-id=\"en9cv\">From startups like ClearCalcs to giants like LinkedIn, the examples we\u2019ve looked at prove one thing: product analytics helps you understand customers better, but growth only happens when you translate those insights into action.<\/p>\n<p data-block-id=\"294ot\">That\u2019s why Userpilot provides an all-in-one solution. Our platform lets you track both quantitative and qualitative data, analyze it for actionable insights, launch in-app experiences based on your hypotheses, and then measure performance to keep improving.<\/p>\n<p data-block-id=\"a5vue\">Ready to go beyond reading product analytics examples and actually put them into practice? <a href=\"https:\/\/userpilot.com\/userpilot-demo\/\" target=\"_blank\" rel=\"noopener noreferrer\">Book a demo<\/a> with our team today.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Want to learn about product analytics from some of the best companies? Check out this article showcasing seven product analytics examples, including those of Shopify and LinkedIn.<\/p>\n","protected":false},"author":70,"featured_media":292633,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"categories":[770],"tags":[1825,7224,347,348],"class_list":["post-227829","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ux-analytics","tag-product-analysis","tag-product-analytics-examples","tag-product-analytics-software","tag-product-analytics-tools"],"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>7 Product Analytics Examples Every SaaS Team Should Steal<\/title>\n<meta name=\"description\" content=\"Learn product analytics examples from companies like Shopify and LinkedIn and see how you can get started with product analytics.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/userpilot.com\/blog\/product-analytics-examples\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"7 Product Analytics Examples Every SaaS Team Should Steal\" \/>\n<meta property=\"og:description\" content=\"Learn product analytics examples from companies like Shopify and LinkedIn and see how you can get started with product analytics.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/userpilot.com\/blog\/product-analytics-examples\/\" \/>\n<meta property=\"og:site_name\" content=\"Thoughts about Product Adoption, User Onboarding and Good UX | Userpilot Blog\" \/>\n<meta property=\"article:published_time\" content=\"2025-08-25T00:55:19+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-03-03T12:26:08+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/08\/7-product-analytics-examples-every-saas-team-should-steal_75a13d62c56fbb1f540ed9477f5c84c4_2000.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1876\" \/>\n\t<meta property=\"og:image:height\" content=\"1228\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Kevin O&#039;Sullivan\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Kevin O&#039;Sullivan\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"18 minutes\" \/>\n<script type=\"application\/ld+json\" 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