{"id":173072,"date":"2025-01-25T14:57:07","date_gmt":"2025-01-25T14:57:07","guid":{"rendered":"https:\/\/userpilot.com\/blog\/feature-usage-rate\/"},"modified":"2026-04-13T18:55:32","modified_gmt":"2026-04-13T18:55:32","slug":"feature-usage-rate","status":"publish","type":"post","link":"https:\/\/userpilot.com\/blog\/feature-usage-rate\/","title":{"rendered":"What Is Feature Usage Rate and How to Measure It"},"content":{"rendered":"<p>It&#8217;s no no-brainer that <a href=\"https:\/\/userpilot.com\/product\/product-analytics\/\">tracking product analytics<\/a> is a key part of identifying improvement opportunities and shaping a successful product. But uncovering valuable insights is about more than just measuring random metrics, it&#8217;s vital to be strategic about what you choose to track.<\/p>\n<p>For example, tracking vanity metrics like page views and the number of sessions in isolation doesn&#8217;t give you any meaningful data to act on. In this regard, one actionable metric to track is feature usage rate, a metric that leading companies like Hubspot and Salesforce are prioritizing.<\/p>\n<p>In this article, we&#8217;ll have a deeper look at feature usage, help you calculate it, and interpret it meaningfully to drive real change.<\/p>\n<h2 id=\"244dq\">What is feature usage?<\/h2>\n<p>The feature usage rate measures how many users have engaged with and adopted specific features in your product.<\/p>\n<p>While the two may seem interchangeable, keep in mind that feature usage is not the same as product usage. <a href=\"https:\/\/userpilot.com\/blog\/product-usage-metrics\/\" target=\"_blank\" rel=\"noopener noreferrer\">Product usage<\/a> focuses on the user&#8217;s behavior toward the overall product, whereas feature usage only focuses on a particular feature.<\/p>\n<h2 id=\"4taj7\">Why should you track feature usage?<\/h2>\n<p>Tracking the feature usage rate helps you assess the impact and relevance of different product features to users. This helps you to:<\/p>\n<ul>\n<li><strong>Prioritize product development<\/strong>: Identify your product&#8217;s most important features and prioritize your future development efforts on features your users need.<\/li>\n<li><strong><a href=\"https:\/\/userpilot.com\/blog\/increase-user-engagement\/\">Improve user engagement<\/a><\/strong>: Identify the features driving value in your product and help users engage more with them. You can also tailor the <a href=\"https:\/\/userpilot.com\/blog\/user-experience-analytics\/\" target=\"_blank\" rel=\"noopener noreferrer\">user experience<\/a> to encourage their adoption.<\/li>\n<li><strong><a href=\"https:\/\/userpilot.com\/blog\/drive-retention\/\">Drive user retention<\/a><\/strong>: Identify difficult-to-use or irrelevant features and address existing <a href=\"https:\/\/userpilot.com\/blog\/customer-pain-points\/\" target=\"_blank\" rel=\"noopener noreferrer\">pain points<\/a> to improve satisfaction and boost user retention.<\/li>\n<\/ul>\n<h2 id=\"3o7pl\">When should you track the feature usage rate?<\/h2>\n<p>It is good practice to regularly measure this metric to keep a pulse on\u00a0<a href=\"https:\/\/userpilot.com\/blog\/increase-user-engagement\/\" target=\"_blank\" rel=\"noopener noreferrer\">user engagement<\/a>, however, there are certain instances across the <a href=\"https:\/\/userpilot.com\/blog\/user-journey-analytics\/\" target=\"_blank\" rel=\"noopener noreferrer\">user journey<\/a> where tracking feature usage becomes an absolute necessity. Some of these instances include:<\/p>\n<ul>\n<li><strong>After <a href=\"https:\/\/userpilot.com\/blog\/user-onboarding-process\/\" target=\"_blank\" rel=\"noopener noreferrer\">user onboarding<\/a><\/strong>: Track feature usage among new users to gauge the impact of onboarding guidance in driving <a href=\"https:\/\/userpilot.com\/blog\/feature-adoption\/\" target=\"_blank\" rel=\"noopener noreferrer\">feature adoption<\/a>.<\/li>\n<li><strong>New <a href=\"https:\/\/userpilot.com\/blog\/feature-release\/\" target=\"_blank\" rel=\"noopener noreferrer\">feature launch<\/a> or product update<\/strong>: Check the performance of new features or updates to see if they&#8217;re beneficial in improving the user experience or not.<\/li>\n<li><strong>A sudden drop in user activity<\/strong>: Measuring feature usage at these points helps determine adoption <a href=\"https:\/\/userpilot.com\/blog\/drop-off-analysis\/\" target=\"_blank\" rel=\"noopener noreferrer\">drop-off points<\/a>, thereby narrowing down improvement areas.<\/li>\n<\/ul>\n<h2 id=\"dqf87\">How to measure feature usage rate in 5 steps<\/h2>\n<h3 id=\"el1s9\">1. Determine the key metrics for tracking feature usage<\/h3>\n<p>To correctly calculate the feature usage rate, you must first determine several key metrics that make up the rate, such as:<\/p>\n<ul>\n<li><strong>Active users<\/strong>: How many <a href=\"https:\/\/userpilot.com\/blog\/active-user\/\" target=\"_blank\" rel=\"noopener noreferrer\">unique users<\/a> interacted with your product?<\/li>\n<li><strong>Feature users<\/strong>: How many users are using the feature?<\/li>\n<li><strong>Usage frequency<\/strong>: How often do they use the feature?<\/li>\n<li><strong>Usage length<\/strong>: How much time do they spend on the feature?<\/li>\n<li><strong>Time frame<\/strong>: What is the length of time for which feature usage is being measured?<\/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\/2026\/04\/feature-usage-metrics_e41ce4fe4034aeb458489b3000d360dd_800.png 1x, https:\/\/images.storychief.com\/account_6827\/feature-usage-metrics_e41ce4fe4034aeb458489b3000d360dd_1600.png 2x\" media=\"(max-width: 768px)\" \/><source srcset=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2026\/04\/feature-usage-metrics_e41ce4fe4034aeb458489b3000d360dd_800.png 1x, https:\/\/images.storychief.com\/account_6827\/feature-usage-metrics_e41ce4fe4034aeb458489b3000d360dd_1600.png 2x\" media=\"(min-width: 769px)\" \/><img decoding=\"async\" src=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2026\/04\/feature-usage-metrics_e41ce4fe4034aeb458489b3000d360dd_800.png\" alt=\"Example of engagement metrics\" \/><\/picture><figcaption>Various engagement metrics to measure feature usage.<\/figcaption><\/figure>\n<h3 id=\"6gjk8\">2. Set up a product analytics tool to collect feature usage data<\/h3>\n<p>Tracking metrics manually is a lengthy process. You have to collect data, compile and compare it, and repeat the process regularly for meaningful results. In short &#8211; it burdens your <a href=\"https:\/\/userpilot.com\/blog\/product-team-structure\/\" target=\"_blank\" rel=\"noopener noreferrer\">product team<\/a>.<\/p>\n<p>Instead, try tracking tools that enable you to seamlessly automate and scale your data collection efforts. For instance, a good tool has an auto-capture feature, which by default records all user actions users perform inside the app such as clicks, infills and form submissions.<br \/>\n<img decoding=\"async\" src=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2024\/09\/raw-data-settings-1.png\" \/><\/p>\n<p>You also can create <a href=\"https:\/\/userpilot.com\/blog\/event-data\/\" target=\"_blank\" rel=\"noopener noreferrer\">custom events<\/a> if you want to track multiple events as a group in instances where using a feature may involve multiple actions.<\/p>\n<p>For example, let&#8217;s say you have a billing app with an auto-billing feature. To utilize the specific feature, users have to click on it, fill in auto-billing details, click set up, etc. All these count as multiple events, all within the same process.<\/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\/2026\/04\/feature-and-event-tracking-in-userpilot_1c1f31a9e4bd33b04445dd1eab6b866d_800.png 1x\" media=\"(max-width: 768px)\" \/><source srcset=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2026\/04\/feature-and-event-tracking-in-userpilot_1c1f31a9e4bd33b04445dd1eab6b866d_800.png 1x\" media=\"(min-width: 769px)\" \/><img decoding=\"async\" src=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2026\/04\/feature-and-event-tracking-in-userpilot_1c1f31a9e4bd33b04445dd1eab6b866d_800.png\" alt=\"Collect feature and event data\" \/><\/picture><figcaption>Collect feature usage data<\/figcaption><\/figure>\n<h3 id=\"2ul3i\">3. Dig deeper into user behavior data to identify trends<\/h3>\n<p>By this point, you&#8217;ve done enough to collect all necessary data. Now it&#8217;s time to dig into the numbers.<\/p>\n<p>Many <a href=\"https:\/\/userpilot.com\/blog\/product-analytics-tools-guide\/\" target=\"_blank\" rel=\"noopener noreferrer\">analytics tools<\/a> provide simple dashboards for tracking user <a href=\"https:\/\/userpilot.com\/blog\/user-behavior-trends\/\" target=\"_blank\" rel=\"noopener noreferrer\">behavior trends <\/a>and patterns. You can view all-time trends or track interactions for a specific period.<\/p>\n<p>Dig deep into the data to easily identify your most used features, see how feature usage has evolved, and more. You can dig even deeper to see what users were doing before getting to a feature.<\/p>\n<p>For example, you can see when users are most active when using a <a href=\"https:\/\/userpilot.com\/blog\/new-feature-announcement-guide\/\" target=\"_blank\" rel=\"noopener noreferrer\">new feature<\/a>, or just compare various features&#8217; usage rates for the same segment.<\/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\/2026\/04\/feature-usage-trends_c26d2b09e2e0f23d6d6a20dbc0b5b99a_800.png 1x, https:\/\/images.storychief.com\/account_6827\/feature-usage-trends_c26d2b09e2e0f23d6d6a20dbc0b5b99a_1600.png 2x\" media=\"(max-width: 768px)\" \/><source srcset=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2026\/04\/feature-usage-trends_c26d2b09e2e0f23d6d6a20dbc0b5b99a_800.png 1x, https:\/\/images.storychief.com\/account_6827\/feature-usage-trends_c26d2b09e2e0f23d6d6a20dbc0b5b99a_1600.png 2x\" media=\"(min-width: 769px)\" \/><img decoding=\"async\" src=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2026\/04\/feature-usage-trends_c26d2b09e2e0f23d6d6a20dbc0b5b99a_800.png\" alt=\"Visualization of feature usage rates\" \/><\/picture><figcaption>Perform feature usage analysis<\/figcaption><\/figure>\n<p>Here are 2 additional ways of analyzing trends:<\/p>\n<h4 id=\"ctdo\"><strong>Look at feature usage for different user segments<\/strong><\/h4>\n<p>To better understand <a href=\"https:\/\/userpilot.com\/blog\/user-behaviour-analytics\/\" target=\"_blank\" rel=\"noopener noreferrer\">user behavior<\/a>, have a look at how different users interact with each feature. This is because <a href=\"https:\/\/userpilot.com\/blog\/user-engagement\/\" target=\"_blank\" rel=\"noopener noreferrer\">user engagement<\/a> often varies according to each user&#8217;s needs.<\/p>\n<p>By tracking feature usage by user segment you can identify patterns and trends that are specific to particular groups and see how each group interacts with a feature.<\/p>\n<p>For example, you can identify the top features for each <a href=\"https:\/\/userpilot.com\/blog\/types-of-user-segmentation\/\" target=\"_blank\" rel=\"noopener noreferrer\">user segment<\/a>, determine which features <a href=\"https:\/\/userpilot.com\/blog\/power-users\/\" target=\"_blank\" rel=\"noopener noreferrer\">power users<\/a> use, compare feature usage between old and new customers, etc.<picture><source srcset=\"https:\/\/images.storychief.com\/account_6827\/userpilot-user-segmentation_e492334d4b9865769958f5c3ea30c609_800.png 1x, https:\/\/images.storychief.com\/account_6827\/userpilot-user-segmentation_e492334d4b9865769958f5c3ea30c609_1600.png 2x\" media=\"(max-width: 768px)\" \/><source srcset=\"https:\/\/images.storychief.com\/account_6827\/userpilot-user-segmentation_e492334d4b9865769958f5c3ea30c609_800.png 1x, https:\/\/images.storychief.com\/account_6827\/userpilot-user-segmentation_e492334d4b9865769958f5c3ea30c609_1600.png 2x\" media=\"(min-width: 769px)\" \/><\/picture>\n<h4 id=\"d9i05\">Analyze the impact of a particular feature on retention<\/h4>\n<p><a href=\"https:\/\/userpilot.com\/blog\/user-retention\/\" target=\"_blank\" rel=\"noopener noreferrer\">User retention<\/a> is key to the success of any SaaS business. Your goal, therefore, with feature usage analysis is to build up <a href=\"https:\/\/userpilot.com\/blog\/feature-adoption\/\" target=\"_blank\" rel=\"noopener noreferrer\">feature engagement<\/a>, making your product more valuable to users.<\/p>\n<p>To measure the impact of feature usage on retention, you can create <a href=\"https:\/\/userpilot.com\/blog\/cohort-analysis\/\" target=\"_blank\" rel=\"noopener noreferrer\">cohort tables<\/a> to:<\/p>\n<ul>\n<li>Compare the usage rate of retained versus <a href=\"https:\/\/userpilot.com\/blog\/churned-user\/\" target=\"_blank\" rel=\"noopener noreferrer\">churned users<\/a>.<\/li>\n<li>Identify which features are most used by retained users.<\/li>\n<li>Determine which features are most used during the periods with the highest retention rates.<\/li>\n<li>Learn how each feature correlates with retention.<\/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\/2026\/04\/cohort-table-feature-tagging_e36aa6e5a0b145f0b4d97a02ae3ec5be_800.png 1x, https:\/\/images.storychief.com\/account_6827\/cohort-table-feature-tagging_e36aa6e5a0b145f0b4d97a02ae3ec5be_1600.png 2x\" media=\"(max-width: 768px)\" \/><source srcset=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2026\/04\/cohort-table-feature-tagging_e36aa6e5a0b145f0b4d97a02ae3ec5be_800.png 1x, https:\/\/images.storychief.com\/account_6827\/cohort-table-feature-tagging_e36aa6e5a0b145f0b4d97a02ae3ec5be_1600.png 2x\" media=\"(min-width: 769px)\" \/><img decoding=\"async\" src=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2026\/04\/cohort-table-feature-tagging_e36aa6e5a0b145f0b4d97a02ae3ec5be_800.png\" alt=\"Create cohort retention tables with Userpilot. \" \/><\/picture><figcaption>Create cohort retention tables<\/figcaption><\/figure>\n<h2 id=\"3ncdu\">Ready to get started with feature usage tracking?<\/h2>\n<p>Feature usage analysis can help you unlock valuable insights into your product and how it is used. From understanding users&#8217; needs to identifying friction in the user journey, it&#8217;ll pave the path for product growth.<\/p>\n<p>To successfully conduct feature usage analysis, you need the right tools. <a href=\"https:\/\/userpilot.com\/\">Userpilot<\/a> equips you to collect, analyze, and act on relevant feature usage data points. <a href=\"https:\/\/userpilot.com\/userpilot-demo\" target=\"_blank\" rel=\"noopener noreferrer\">Book a Userpilot demo<\/a> today to see how its powerful insights can help you improve your user experience.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tracking product analytics, such as feature usage, is useful for understanding feature adoption and user engagement. Plus, it also helps gain valuable insights on how to enhance the customer experience and improve user retention. But what exactly is the usage rate and how is it calculated? We answer all these questions and more down below, so let&#8217;s dive in!<\/p>\n","protected":false},"author":55,"featured_media":258976,"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":[332,86,127,346,5998,428,316,391,880],"class_list":["post-173072","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ux-analytics","tag-customer-engagement","tag-customer-satisfaction","tag-feature-adoption","tag-product-analytics","tag-usage-rate","tag-user-analytics","tag-user-engagement","tag-user-engagement-metrics","tag-user-satisfaction"],"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>What Is Feature Usage Rate and How to Measure It<\/title>\n<meta name=\"description\" content=\"No matter what you do, are users just not engaging with your features? It&#039;s time to focus on improving your feature usage rate. Find out how!\" \/>\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\/feature-usage-rate\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"What Is Feature Usage Rate and How to Measure It\" \/>\n<meta property=\"og:description\" content=\"No matter what you do, are users just not engaging with your features? It&#039;s time to focus on improving your feature usage rate. Find out how!\" \/>\n<meta property=\"og:url\" content=\"https:\/\/userpilot.com\/blog\/feature-usage-rate\/\" \/>\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=\"2025-01-25T14:57:07+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-04-13T18:55:32+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/12\/12-Key-Quantitative-Metrics-For-Tracking-SaaS-Growth-5.png\" \/>\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\/png\" \/>\n<meta name=\"author\" content=\"Linh Khanh\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Linh Khanh\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"6 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/userpilot.com\/blog\/feature-usage-rate\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/userpilot.com\/blog\/feature-usage-rate\/\"},\"author\":{\"name\":\"Linh Khanh\",\"@id\":\"https:\/\/userpilot.com\/blog\/#\/schema\/person\/837ad6c051bf4373e42a8e0091d3d691\"},\"headline\":\"What Is Feature Usage Rate and How to Measure It\",\"datePublished\":\"2025-01-25T14:57:07+00:00\",\"dateModified\":\"2026-04-13T18:55:32+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/userpilot.com\/blog\/feature-usage-rate\/\"},\"wordCount\":1066,\"commentCount\":0,\"image\":{\"@id\":\"https:\/\/userpilot.com\/blog\/feature-usage-rate\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/12\/12-Key-Quantitative-Metrics-For-Tracking-SaaS-Growth-5.png\",\"keywords\":[\"customer engagement\",\"Customer Satisfaction\",\"feature adoption\",\"product analytics\",\"usage rate\",\"user analytics\",\"user engagement\",\"user engagement metrics\",\"user satisfaction\"],\"articleSection\":[\"UX Analytics\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/userpilot.com\/blog\/feature-usage-rate\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/userpilot.com\/blog\/feature-usage-rate\/\",\"url\":\"https:\/\/userpilot.com\/blog\/feature-usage-rate\/\",\"name\":\"What Is Feature Usage Rate and How to Measure It\",\"isPartOf\":{\"@id\":\"https:\/\/userpilot.com\/blog\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/userpilot.com\/blog\/feature-usage-rate\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/userpilot.com\/blog\/feature-usage-rate\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/12\/12-Key-Quantitative-Metrics-For-Tracking-SaaS-Growth-5.png\",\"datePublished\":\"2025-01-25T14:57:07+00:00\",\"dateModified\":\"2026-04-13T18:55:32+00:00\",\"author\":{\"@id\":\"https:\/\/userpilot.com\/blog\/#\/schema\/person\/837ad6c051bf4373e42a8e0091d3d691\"},\"description\":\"No matter what you do, are users just not engaging with your features? 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