{"id":223,"count":0,"description":"","link":"https:\/\/tenjin.com\/zh\/glossary\/churn-rate\/","name":"\u6d41\u5931\u7387","slug":"churn-rate","taxonomy":"glossaries","parent":0,"meta":{"status":["1","1"],"order":["0","0"],"glossary_term_description":["<div style=\"border: 1px solid #e5e5e5;padding: 16px;border-radius: 8px;background: #fafafa\">\r\n\r\n<b>Definition:<\/b>\r\n\r\nChurn rate is the percentage of users who stop using a mobile app over a defined period of time. It is one of the most important indicators of app health, user retention, and long-term revenue potential. For mobile marketers, tracking churn rate at the cohort level reveals not just how many users are leaving, but which campaigns, channels, and creatives are responsible for acquiring users who stay.\r\n\r\n<strong>Formula:<\/strong>\r\n<pre>Churn Rate = (Users lost during period \/ Users at start of period) x 100<\/pre>\r\n<\/div>\r\n<!-- wp:heading -->\r\n<h2><\/h2>\r\n<h2 class=\"wp-block-heading\">What is Churn Rate?<\/h2>\r\n<!-- \/wp:heading -->\r\n\r\n<!-- wp:paragraph -->\r\n\r\n<b>Churn rate<\/b><span style=\"font-weight: 400\"> measures attrition. It tells you what proportion of your user base stopped engaging with your app within a given time window. A high churn rate means users are leaving faster than you can replace or retain them. A low churn rate means your app is delivering enough value to keep people coming back.<\/span>\r\n\r\n<span style=\"font-weight: 400\">In mobile marketing, churn rate is rarely useful as a single aggregate number. The true value of this insight comes from breakdowns by cohort, channel, campaign, and time period. This level of granularity is what separates a surface-level metric from an actionable one.<\/span>\r\n\r\n<span style=\"font-weight: 400\">Churn rate is closely tied to another metric: lifetime value (LTV). This is because the longer users stay, the more revenue they generate. Every percentage point of churn you reduce creates a compounding effect on the long-term value of your user base.<\/span>\r\n<h2><b>Churn Rate Meaning: What Does It Actually Tell You?<\/b><\/h2>\r\n<span style=\"font-weight: 400\">In the most basic sense, the churn rate answers the question: how many of the users I had at the start of this period are no longer active by the end of it?<\/span>\r\n\r\n<span style=\"font-weight: 400\">But in the context of a mobile app, churn rate meaning goes further than that. It can signal:<\/span>\r\n<ul>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Friction in your onboarding flow that causes users to drop off before they see value<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">A mismatch between the audience your campaigns are targeting and the users your app is built for<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">A product or feature issue that is driving disengagement at a specific point in the user journey<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Seasonal patterns in usage that are normal for your app category<\/span><\/li>\r\n<\/ul>\r\n<span style=\"font-weight: 400\">Churn rate is most valuable when you use it as a diagnostic tool rather than just a performance indicator. The number itself tells you something is wrong. Cohort-level analysis tells you where and why.<\/span>\r\n<h2><b>Churn Rate Formula: How to Calculate Churn Rate<\/b><\/h2>\r\n<span style=\"font-weight: 400\">The basic churn rate formula is straightforward:<\/span>\r\n<pre><span style=\"font-weight: 400\">Churn Rate = (Users lost during period \/ Users at start of period) x 100\r\n\r\n<\/span><\/pre>\r\n<span style=\"font-weight: 400\">So if you started the month with 10,000 active users and 1,500 of them stopped using the app by the end of the month, your monthly churn rate is 15%.<\/span>\r\n\r\n<span style=\"font-weight: 400\">For subscription-based apps, the formula is a little bit different. This is because it\u2019s applied to paying customers rather than active users:<\/span>\r\n<pre><span style=\"font-weight: 400\">Subscription Churn Rate = (Customers who cancelled during period \/ Customers at start of period) x 100\r\n\r\n<\/span><\/pre>\r\n<strong>There are a few things to keep in mind when calculating churn rate:<\/strong>\r\n<ul>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Define your time window clearly and apply it consistently. Monthly churn and annual churn will produce very different numbers.<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Decide how you define a churned user. Is it someone who has not opened the app in 7 days? 30 days? The threshold should reflect normal usage patterns for your app category.<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Use cohort-based churn calculations wherever possible. Aggregate churn can hide significant variation across user groups.<\/span><\/li>\r\n<\/ul>\r\n<h2><strong>Churn Rate vs. Retention Rate<\/strong><\/h2>\r\n<span style=\"font-weight: 400\">Churn rate and retention rate measure the same dynamic from opposite directions. Understanding both gives you a more complete picture of user behavior.<\/span>\r\n<table>\r\n<tbody>\r\n<tr>\r\n<td><\/td>\r\n<td><b>Churn Rate<\/b><\/td>\r\n<td><a href=\"https:\/\/tenjin.com\/glossary\/retention-rate-rr\/\"><b>Retention Rate<\/b><\/a><\/td>\r\n<\/tr>\r\n<tr>\r\n<td><b>What it measures<\/b><\/td>\r\n<td><span style=\"font-weight: 400\">The proportion of users who left<\/span><\/td>\r\n<td><span style=\"font-weight: 400\">The proportion of users who stayed<\/span><\/td>\r\n<\/tr>\r\n<tr>\r\n<td><b>Formula<\/b><\/td>\r\n<td><span style=\"font-weight: 400\">(Lost users \/ Starting users) x 100<\/span><\/td>\r\n<td><span style=\"font-weight: 400\">(Retained users \/ Starting users) x 100<\/span><\/td>\r\n<\/tr>\r\n<tr>\r\n<td><b>Relationship<\/b><\/td>\r\n<td><span style=\"font-weight: 400\">Retention Rate = 100% minus Churn Rate<\/span><\/td>\r\n<td><span style=\"font-weight: 400\">Churn Rate = 100% minus Retention Rate<\/span><\/td>\r\n<\/tr>\r\n<tr>\r\n<td><b>Best used for<\/b><\/td>\r\n<td><span style=\"font-weight: 400\">Identifying attrition problems<\/span><\/td>\r\n<td><span style=\"font-weight: 400\">Measuring engagement and stickiness<\/span><\/td>\r\n<\/tr>\r\n<tr>\r\n<td><b>Common time windows<\/b><\/td>\r\n<td><span style=\"font-weight: 400\">Monthly, quarterly, annually<\/span><\/td>\r\n<td><span style=\"font-weight: 400\">Day 1, Day 7, Day 30<\/span><\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<span style=\"font-weight: 400\">In practice, you will use both measurements. Essentially, they are measuring different things: those who stayed versus those who left. In addition, retention rate is more commonly used for short-term engagement analysis, particularly in gaming apps where Day 1, Day 7, and Day 30 retention are standard benchmarks. Churn rate is more commonly used for subscription apps and long-term revenue forecasting.<\/span>\r\n<h2><strong>Average Churn Rate for Mobile Apps<\/strong><\/h2>\r\n<span style=\"font-weight: 400\">Churn rate benchmarks vary significantly by app category, monetization model, and platform. There is no single universal benchmark, but some general reference points are useful for context:<\/span>\r\n<ul>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Mobile apps across all categories see average monthly churn rates of between 3% and 8%<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Gaming apps tend to experience higher churn in the first 30 days, with Day 1 churn often exceeding 60% for casual games<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Subscription apps typically target monthly churn rates below 5%, with best-in-class apps achieving rates closer to 2% to 3%<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">The average churn rate for subscription services across industries sits around 5% to 7% monthly<\/span><\/li>\r\n<\/ul>\r\n<span style=\"font-weight: 400\">These figures are starting points, not targets. Your benchmark should be defined by your own historical data and app category norms. A churn rate that is acceptable for a casual game may be catastrophic for a subscription fitness app.<\/span>\r\n<h2><b>Churn Rate Analysis: How to Use It Effectively<\/b><\/h2>\r\n<b>Churn rate analysis<\/b><span style=\"font-weight: 400\"> is the process of breaking down churn data to understand who is leaving, when they are leaving, and why. For mobile marketers using an MMP, this means going beyond aggregate churn figures and analyzing churn at the cohort level.<\/span>\r\n\r\n<span style=\"font-weight: 400\">Effective churn rate analysis involves:<\/span>\r\n<h4><strong>Cohort-Level Churn Tracking\u00a0<\/strong><\/h4>\r\n<span style=\"font-weight: 400\">Group users by acquisition date, channel, campaign, or creative and track churn separately for each group. This reveals whether certain campaigns are systematically acquiring low-quality users who churn quickly, which has a direct impact on your ROAS calculations.<\/span>\r\n<h4><strong>Time-Based Churn Analysis<\/strong><\/h4>\r\n<span style=\"font-weight: 400\">\u00a0Look at when users are churning within their lifecycle. If a large proportion of users churn within the first 3 days, the problem is likely in onboarding. If churn spikes at day 14 or day 30, it may indicate a paywall friction point or a drop in content freshness.<\/span>\r\n<h4><strong>Churn By Channel And Campaign\u00a0<\/strong><\/h4>\r\n<span style=\"font-weight: 400\">Comparing churn rates across acquisition sources is one of the most valuable exercises an MMP enables. A channel with a low CPI but high churn rate is delivering low-value users. A channel with a higher CPI but low churn rate and strong LTV may be significantly more cost-efficient in the long run.<\/span>\r\n<h4><strong>Connecting Churn To Revenue\u00a0<\/strong><\/h4>\r\n<span style=\"font-weight: 400\">Churn rate feeds directly into LTV calculations. An MMP like Tenjin connects churn data to revenue metrics, giving you a complete picture of how attrition is affecting the long-term value of each acquisition cohort.<\/span>\r\n\r\n<b>How to Reduce Churn Rate in Mobile Apps<\/b>\r\n\r\n<span style=\"font-weight: 400\">Reducing churn starts with understanding it. Once your churn rate analysis points to where and why users are leaving, you can take targeted action:<\/span>\r\n<h4><strong>Improve Onboarding\u00a0<\/strong><\/h4>\r\n<span style=\"font-weight: 400\">The first session is critical. Users who do not reach a meaningful moment of value within their first few minutes are far more likely to churn. Streamlining onboarding and reducing friction at the start of the user journey has an outsized impact on early churn.<\/span>\r\n<h4><strong>Optimize For User Quality At Acquisition\u00a0<\/strong><\/h4>\r\n<span style=\"font-weight: 400\">Not all installs are equal. If your campaigns are driving users who churn within 24 hours, the problem starts before the user even opens the app. Using cohort-level LTV and churn data to evaluate campaign quality helps you shift spend toward sources that deliver users who actually stick.<\/span>\r\n<h4><strong>Use Re-Engagement Campaigns Strategically\u00a0<\/strong><\/h4>\r\n<span style=\"font-weight: 400\">Users who have churned are not necessarily lost permanently. Re-engagement campaigns can bring lapsed users back, particularly if they are targeted around a new feature release or a personalized incentive.<\/span>\r\n<h4><strong>Iterate On Product Based On Churn Signals\u00a0<\/strong><\/h4>\r\n<span style=\"font-weight: 400\">Churn data is product feedback. If a specific cohort churns significantly faster than others, investigate what was different about their experience. Was it a specific campaign creative that set incorrect expectations? A feature they never reached? A difficulty spike in a specific level?<\/span>\r\n<h2><b>How Tenjin Supports Churn Rate Analysis<\/b><\/h2>\r\n<span style=\"font-weight: 400\">For mobile marketers, understanding churn at a meaningful level requires connecting attribution data to post-install behavior. That is exactly what an MMP is built to do.<\/span>\r\n\r\n<span style=\"font-weight: 400\">Tenjin gives you the infrastructure to track churn at the cohort level, connecting each user back to the campaign, network, and creative that acquired them. This means you can see not just how many users churned, but which acquisition sources produced the users who churned fastest, and which produced users who stayed and generated revenue.<\/span>\r\n\r\n<span style=\"font-weight: 400\">With Tenjin, you can:<\/span>\r\n<ul>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Track retention and churn by acquisition date, channel, campaign, country, and creative<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Compare churn rates across cohorts side by side in one dashboard<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Connect churn data to LTV and ROAS calculations for a complete picture of acquisition quality<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Export raw cohort and churn data via DataVault or Raw Data Exporter for deeper analysis<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Feed churn and retention data into pLTV models to forecast the long-term value of current campaigns<\/span><\/li>\r\n<\/ul>\r\n<span style=\"font-weight: 400\">Having attribution and churn data in the same place removes the need to manually reconcile data from multiple sources, which is where errors and blind spots typically occur.<\/span>\r\n\r\n<hr \/>\r\n\r\n<h2><b>Related Terms<\/b><\/h2>\r\n<ul>\r\n \t<li style=\"font-weight: 400\"><a href=\"https:\/\/tenjin.com\/glossary\/retention-rate-rr\/\"><span style=\"font-weight: 400\">Retention Rate<\/span><\/a><\/li>\r\n \t<li style=\"font-weight: 400\"><a href=\"https:\/\/tenjin.com\/glossary\/lifetime-value-ltv\/\"><span style=\"font-weight: 400\">Lifetime Value (LTV)<\/span><\/a><\/li>\r\n \t<li style=\"font-weight: 400\"><a href=\"https:\/\/tenjin.com\/glossary\/cohort-analysis\/\"><span style=\"font-weight: 400\">Cohort Analysis<\/span><\/a><\/li>\r\n \t<li style=\"font-weight: 400\"><a href=\"https:\/\/tenjin.com\/glossary\/average-revenue-per-user-arpu\/\"><span style=\"font-weight: 400\">ARPU<\/span><\/a><\/li>\r\n \t<li style=\"font-weight: 400\"><a href=\"https:\/\/tenjin.com\/glossary\/cost-per-install-cpi\/\"><span style=\"font-weight: 400\">Cost Per Install (CPI)<\/span><\/a><\/li>\r\n \t<li style=\"font-weight: 400\"><a href=\"https:\/\/tenjin.com\/glossary\/return-on-ad-spend-roas\/\"><span style=\"font-weight: 400\">Return on Ad Spend (ROAS)<\/span><\/a><\/li>\r\n \t<li style=\"font-weight: 400\"><a href=\"https:\/\/tenjin.com\/glossary\/re-engagement\/\"><span style=\"font-weight: 400\">Re-engagement<\/span><\/a><\/li>\r\n<\/ul>\r\n\r\n<hr \/>\r\n\r\n<h2><b>Frequently Asked Questions<\/b><\/h2>\r\n<h4><span style=\"font-weight: 400\">What is the churn rate?<\/span><\/h4>\r\n<span style=\"font-weight: 400\">Churn rate is the percentage of users who stop using a mobile app over a defined period. It is calculated by dividing the number of users lost during a period by the number of users at the start of that period.<\/span>\r\n<h4><span style=\"font-weight: 400\">What is the churn rate formula?<\/span><\/h4>\r\n<span style=\"font-weight: 400\">The standard churn rate formula is: Churn Rate = (Users lost during period \/ Users at start of period) x 100. For subscription apps, the same formula is applied to paying customers rather than active users.<\/span>\r\n<h4><span style=\"font-weight: 400\">What is a good churn rate for mobile apps?<\/span><\/h4>\r\n<span style=\"font-weight: 400\">Churn rate benchmarks vary by app category. Gaming apps often see high early churn, with Day 1 churn rates exceeding 60% for casual titles. Subscription apps typically target monthly churn rates below 5%. The most useful benchmark is your own historical data compared over time.<\/span>\r\n<h4><span style=\"font-weight: 400\">What is the difference between churn rate and retention rate?<\/span><\/h4>\r\n<span style=\"font-weight: 400\">Churn rate measures the proportion of users who left during a period. Retention rate measures the proportion who stayed. The two are directly related: retention rate equals 100% minus churn rate. Both metrics are useful, but retention rate is more common for short-term engagement analysis while churn rate is more commonly used for subscription revenue forecasting.<\/span>\r\n<h4><span style=\"font-weight: 400\">How does an MMP help with churn rate analysis?<\/span><\/h4>\r\n<span style=\"font-weight: 400\">An MMP connects post-install behavior, including churn, back to the original acquisition source. This means you can compare churn rates across campaigns, channels, and creatives to understand which sources are delivering users who stay and which are not. Tenjin does this at the cohort level, giving you a granular and actionable view of churn across your entire user acquisition operation.<\/span>\r\n\r\n<!-- \/wp:paragraph -->\r\n\r\n<!-- wp:paragraph -->\r\n\r\n<!-- \/wp:paragraph -->"]},"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Mobile App Churn Rate Analysis | Tenjin Glossary<\/title>\n<meta name=\"description\" content=\"Understand what churn rate measures, why it matters for retention, and track how many users drop off to improve your app&#039;s long-term growth in Tenjin.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/tenjin.com\/zh\/glossary\/churn-rate\/\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Mobile App Churn Rate Analysis | Tenjin Glossary\" \/>\n<meta property=\"og:description\" content=\"Understand what churn rate measures, why it matters for retention, and track how many users drop off to improve your app&#039;s long-term growth in Tenjin.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/tenjin.com\/zh\/glossary\/churn-rate\/\" \/>\n<meta property=\"og:site_name\" content=\"Tenjin\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:site\" content=\"@TenjinMMP\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"CollectionPage\",\"@id\":\"https:\\\/\\\/tenjin.com\\\/glossary\\\/churn-rate\\\/\",\"url\":\"https:\\\/\\\/tenjin.com\\\/glossary\\\/churn-rate\\\/\",\"name\":\"Mobile App Churn Rate Analysis | Tenjin Glossary\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/tenjin.com\\\/#website\"},\"description\":\"Understand what churn rate measures, why it matters for retention, and track how many users drop off to improve your app's long-term growth in Tenjin.\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/tenjin.com\\\/glossary\\\/churn-rate\\\/#breadcrumb\"},\"inLanguage\":\"zh-Hans\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/tenjin.com\\\/glossary\\\/churn-rate\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/tenjin.com\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Churn Rate\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/tenjin.com\\\/#website\",\"url\":\"https:\\\/\\\/tenjin.com\\\/\",\"name\":\"Tenjin\",\"description\":\"Growth Made Simple\",\"publisher\":{\"@id\":\"https:\\\/\\\/tenjin.com\\\/#organization\"},\"alternateName\":\"Tenjin - 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Mobile Measurement Partner","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/tenjin.com\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"zh-Hans"},{"@type":"Organization","@id":"https:\/\/tenjin.com\/#organization","name":"Tenjin","url":"https:\/\/tenjin.com\/","logo":{"@type":"ImageObject","inLanguage":"zh-Hans","@id":"https:\/\/tenjin.com\/#\/schema\/logo\/image\/","url":"https:\/\/tenjin.com\/wp-content\/uploads\/2026\/04\/images.webp","contentUrl":"https:\/\/tenjin.com\/wp-content\/uploads\/2026\/04\/images.webp","width":429,"height":117,"caption":"Tenjin"},"image":{"@id":"https:\/\/tenjin.com\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/x.com\/TenjinMMP","https:\/\/www.youtube.com\/@TenjinMMP","https:\/\/www.linkedin.com\/company\/tenjin"]}]}},"glossary_term_description":"<div style=\"border: 1px solid #e5e5e5;padding: 16px;border-radius: 8px;background: #fafafa\">\r\n\r\n<b>Definition:<\/b>\r\n\r\nChurn rate is the percentage of users who stop using a mobile app over a defined period of time. It is one of the most important indicators of app health, user retention, and long-term revenue potential. For mobile marketers, tracking churn rate at the cohort level reveals not just how many users are leaving, but which campaigns, channels, and creatives are responsible for acquiring users who stay.\r\n\r\n<strong>Formula:<\/strong>\r\n<pre>Churn Rate = (Users lost during period \/ Users at start of period) x 100<\/pre>\r\n<\/div>\r\n<!-- wp:heading -->\r\n<h2><\/h2>\r\n<h2 class=\"wp-block-heading\">What is Churn Rate?<\/h2>\r\n<!-- \/wp:heading -->\r\n\r\n<!-- wp:paragraph -->\r\n\r\n<b>Churn rate<\/b><span style=\"font-weight: 400\"> measures attrition. It tells you what proportion of your user base stopped engaging with your app within a given time window. A high churn rate means users are leaving faster than you can replace or retain them. A low churn rate means your app is delivering enough value to keep people coming back.<\/span>\r\n\r\n<span style=\"font-weight: 400\">In mobile marketing, churn rate is rarely useful as a single aggregate number. The true value of this insight comes from breakdowns by cohort, channel, campaign, and time period. This level of granularity is what separates a surface-level metric from an actionable one.<\/span>\r\n\r\n<span style=\"font-weight: 400\">Churn rate is closely tied to another metric: lifetime value (LTV). This is because the longer users stay, the more revenue they generate. Every percentage point of churn you reduce creates a compounding effect on the long-term value of your user base.<\/span>\r\n<h2><b>Churn Rate Meaning: What Does It Actually Tell You?<\/b><\/h2>\r\n<span style=\"font-weight: 400\">In the most basic sense, the churn rate answers the question: how many of the users I had at the start of this period are no longer active by the end of it?<\/span>\r\n\r\n<span style=\"font-weight: 400\">But in the context of a mobile app, churn rate meaning goes further than that. It can signal:<\/span>\r\n<ul>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Friction in your onboarding flow that causes users to drop off before they see value<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">A mismatch between the audience your campaigns are targeting and the users your app is built for<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">A product or feature issue that is driving disengagement at a specific point in the user journey<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Seasonal patterns in usage that are normal for your app category<\/span><\/li>\r\n<\/ul>\r\n<span style=\"font-weight: 400\">Churn rate is most valuable when you use it as a diagnostic tool rather than just a performance indicator. The number itself tells you something is wrong. Cohort-level analysis tells you where and why.<\/span>\r\n<h2><b>Churn Rate Formula: How to Calculate Churn Rate<\/b><\/h2>\r\n<span style=\"font-weight: 400\">The basic churn rate formula is straightforward:<\/span>\r\n<pre><span style=\"font-weight: 400\">Churn Rate = (Users lost during period \/ Users at start of period) x 100\r\n\r\n<\/span><\/pre>\r\n<span style=\"font-weight: 400\">So if you started the month with 10,000 active users and 1,500 of them stopped using the app by the end of the month, your monthly churn rate is 15%.<\/span>\r\n\r\n<span style=\"font-weight: 400\">For subscription-based apps, the formula is a little bit different. This is because it\u2019s applied to paying customers rather than active users:<\/span>\r\n<pre><span style=\"font-weight: 400\">Subscription Churn Rate = (Customers who cancelled during period \/ Customers at start of period) x 100\r\n\r\n<\/span><\/pre>\r\n<strong>There are a few things to keep in mind when calculating churn rate:<\/strong>\r\n<ul>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Define your time window clearly and apply it consistently. Monthly churn and annual churn will produce very different numbers.<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Decide how you define a churned user. Is it someone who has not opened the app in 7 days? 30 days? The threshold should reflect normal usage patterns for your app category.<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Use cohort-based churn calculations wherever possible. Aggregate churn can hide significant variation across user groups.<\/span><\/li>\r\n<\/ul>\r\n<h2><strong>Churn Rate vs. Retention Rate<\/strong><\/h2>\r\n<span style=\"font-weight: 400\">Churn rate and retention rate measure the same dynamic from opposite directions. Understanding both gives you a more complete picture of user behavior.<\/span>\r\n<table>\r\n<tbody>\r\n<tr>\r\n<td><\/td>\r\n<td><b>Churn Rate<\/b><\/td>\r\n<td><a href=\"https:\/\/tenjin.com\/glossary\/retention-rate-rr\/\"><b>Retention Rate<\/b><\/a><\/td>\r\n<\/tr>\r\n<tr>\r\n<td><b>What it measures<\/b><\/td>\r\n<td><span style=\"font-weight: 400\">The proportion of users who left<\/span><\/td>\r\n<td><span style=\"font-weight: 400\">The proportion of users who stayed<\/span><\/td>\r\n<\/tr>\r\n<tr>\r\n<td><b>Formula<\/b><\/td>\r\n<td><span style=\"font-weight: 400\">(Lost users \/ Starting users) x 100<\/span><\/td>\r\n<td><span style=\"font-weight: 400\">(Retained users \/ Starting users) x 100<\/span><\/td>\r\n<\/tr>\r\n<tr>\r\n<td><b>Relationship<\/b><\/td>\r\n<td><span style=\"font-weight: 400\">Retention Rate = 100% minus Churn Rate<\/span><\/td>\r\n<td><span style=\"font-weight: 400\">Churn Rate = 100% minus Retention Rate<\/span><\/td>\r\n<\/tr>\r\n<tr>\r\n<td><b>Best used for<\/b><\/td>\r\n<td><span style=\"font-weight: 400\">Identifying attrition problems<\/span><\/td>\r\n<td><span style=\"font-weight: 400\">Measuring engagement and stickiness<\/span><\/td>\r\n<\/tr>\r\n<tr>\r\n<td><b>Common time windows<\/b><\/td>\r\n<td><span style=\"font-weight: 400\">Monthly, quarterly, annually<\/span><\/td>\r\n<td><span style=\"font-weight: 400\">Day 1, Day 7, Day 30<\/span><\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<span style=\"font-weight: 400\">In practice, you will use both measurements. Essentially, they are measuring different things: those who stayed versus those who left. In addition, retention rate is more commonly used for short-term engagement analysis, particularly in gaming apps where Day 1, Day 7, and Day 30 retention are standard benchmarks. Churn rate is more commonly used for subscription apps and long-term revenue forecasting.<\/span>\r\n<h2><strong>Average Churn Rate for Mobile Apps<\/strong><\/h2>\r\n<span style=\"font-weight: 400\">Churn rate benchmarks vary significantly by app category, monetization model, and platform. There is no single universal benchmark, but some general reference points are useful for context:<\/span>\r\n<ul>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Mobile apps across all categories see average monthly churn rates of between 3% and 8%<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Gaming apps tend to experience higher churn in the first 30 days, with Day 1 churn often exceeding 60% for casual games<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Subscription apps typically target monthly churn rates below 5%, with best-in-class apps achieving rates closer to 2% to 3%<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">The average churn rate for subscription services across industries sits around 5% to 7% monthly<\/span><\/li>\r\n<\/ul>\r\n<span style=\"font-weight: 400\">These figures are starting points, not targets. Your benchmark should be defined by your own historical data and app category norms. A churn rate that is acceptable for a casual game may be catastrophic for a subscription fitness app.<\/span>\r\n<h2><b>Churn Rate Analysis: How to Use It Effectively<\/b><\/h2>\r\n<b>Churn rate analysis<\/b><span style=\"font-weight: 400\"> is the process of breaking down churn data to understand who is leaving, when they are leaving, and why. For mobile marketers using an MMP, this means going beyond aggregate churn figures and analyzing churn at the cohort level.<\/span>\r\n\r\n<span style=\"font-weight: 400\">Effective churn rate analysis involves:<\/span>\r\n<h4><strong>Cohort-Level Churn Tracking\u00a0<\/strong><\/h4>\r\n<span style=\"font-weight: 400\">Group users by acquisition date, channel, campaign, or creative and track churn separately for each group. This reveals whether certain campaigns are systematically acquiring low-quality users who churn quickly, which has a direct impact on your ROAS calculations.<\/span>\r\n<h4><strong>Time-Based Churn Analysis<\/strong><\/h4>\r\n<span style=\"font-weight: 400\">\u00a0Look at when users are churning within their lifecycle. If a large proportion of users churn within the first 3 days, the problem is likely in onboarding. If churn spikes at day 14 or day 30, it may indicate a paywall friction point or a drop in content freshness.<\/span>\r\n<h4><strong>Churn By Channel And Campaign\u00a0<\/strong><\/h4>\r\n<span style=\"font-weight: 400\">Comparing churn rates across acquisition sources is one of the most valuable exercises an MMP enables. A channel with a low CPI but high churn rate is delivering low-value users. A channel with a higher CPI but low churn rate and strong LTV may be significantly more cost-efficient in the long run.<\/span>\r\n<h4><strong>Connecting Churn To Revenue\u00a0<\/strong><\/h4>\r\n<span style=\"font-weight: 400\">Churn rate feeds directly into LTV calculations. An MMP like Tenjin connects churn data to revenue metrics, giving you a complete picture of how attrition is affecting the long-term value of each acquisition cohort.<\/span>\r\n\r\n<b>How to Reduce Churn Rate in Mobile Apps<\/b>\r\n\r\n<span style=\"font-weight: 400\">Reducing churn starts with understanding it. Once your churn rate analysis points to where and why users are leaving, you can take targeted action:<\/span>\r\n<h4><strong>Improve Onboarding\u00a0<\/strong><\/h4>\r\n<span style=\"font-weight: 400\">The first session is critical. Users who do not reach a meaningful moment of value within their first few minutes are far more likely to churn. Streamlining onboarding and reducing friction at the start of the user journey has an outsized impact on early churn.<\/span>\r\n<h4><strong>Optimize For User Quality At Acquisition\u00a0<\/strong><\/h4>\r\n<span style=\"font-weight: 400\">Not all installs are equal. If your campaigns are driving users who churn within 24 hours, the problem starts before the user even opens the app. Using cohort-level LTV and churn data to evaluate campaign quality helps you shift spend toward sources that deliver users who actually stick.<\/span>\r\n<h4><strong>Use Re-Engagement Campaigns Strategically\u00a0<\/strong><\/h4>\r\n<span style=\"font-weight: 400\">Users who have churned are not necessarily lost permanently. Re-engagement campaigns can bring lapsed users back, particularly if they are targeted around a new feature release or a personalized incentive.<\/span>\r\n<h4><strong>Iterate On Product Based On Churn Signals\u00a0<\/strong><\/h4>\r\n<span style=\"font-weight: 400\">Churn data is product feedback. If a specific cohort churns significantly faster than others, investigate what was different about their experience. Was it a specific campaign creative that set incorrect expectations? A feature they never reached? A difficulty spike in a specific level?<\/span>\r\n<h2><b>How Tenjin Supports Churn Rate Analysis<\/b><\/h2>\r\n<span style=\"font-weight: 400\">For mobile marketers, understanding churn at a meaningful level requires connecting attribution data to post-install behavior. That is exactly what an MMP is built to do.<\/span>\r\n\r\n<span style=\"font-weight: 400\">Tenjin gives you the infrastructure to track churn at the cohort level, connecting each user back to the campaign, network, and creative that acquired them. This means you can see not just how many users churned, but which acquisition sources produced the users who churned fastest, and which produced users who stayed and generated revenue.<\/span>\r\n\r\n<span style=\"font-weight: 400\">With Tenjin, you can:<\/span>\r\n<ul>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Track retention and churn by acquisition date, channel, campaign, country, and creative<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Compare churn rates across cohorts side by side in one dashboard<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Connect churn data to LTV and ROAS calculations for a complete picture of acquisition quality<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Export raw cohort and churn data via DataVault or Raw Data Exporter for deeper analysis<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Feed churn and retention data into pLTV models to forecast the long-term value of current campaigns<\/span><\/li>\r\n<\/ul>\r\n<span style=\"font-weight: 400\">Having attribution and churn data in the same place removes the need to manually reconcile data from multiple sources, which is where errors and blind spots typically occur.<\/span>\r\n\r\n<hr \/>\r\n\r\n<h2><b>Related Terms<\/b><\/h2>\r\n<ul>\r\n \t<li style=\"font-weight: 400\"><a href=\"https:\/\/tenjin.com\/glossary\/retention-rate-rr\/\"><span style=\"font-weight: 400\">Retention Rate<\/span><\/a><\/li>\r\n \t<li style=\"font-weight: 400\"><a href=\"https:\/\/tenjin.com\/glossary\/lifetime-value-ltv\/\"><span style=\"font-weight: 400\">Lifetime Value (LTV)<\/span><\/a><\/li>\r\n \t<li style=\"font-weight: 400\"><a href=\"https:\/\/tenjin.com\/glossary\/cohort-analysis\/\"><span style=\"font-weight: 400\">Cohort Analysis<\/span><\/a><\/li>\r\n \t<li style=\"font-weight: 400\"><a href=\"https:\/\/tenjin.com\/glossary\/average-revenue-per-user-arpu\/\"><span style=\"font-weight: 400\">ARPU<\/span><\/a><\/li>\r\n \t<li style=\"font-weight: 400\"><a href=\"https:\/\/tenjin.com\/glossary\/cost-per-install-cpi\/\"><span style=\"font-weight: 400\">Cost Per Install (CPI)<\/span><\/a><\/li>\r\n \t<li style=\"font-weight: 400\"><a href=\"https:\/\/tenjin.com\/glossary\/return-on-ad-spend-roas\/\"><span style=\"font-weight: 400\">Return on Ad Spend (ROAS)<\/span><\/a><\/li>\r\n \t<li style=\"font-weight: 400\"><a href=\"https:\/\/tenjin.com\/glossary\/re-engagement\/\"><span style=\"font-weight: 400\">Re-engagement<\/span><\/a><\/li>\r\n<\/ul>\r\n\r\n<hr \/>\r\n\r\n<h2><b>Frequently Asked Questions<\/b><\/h2>\r\n<h4><span style=\"font-weight: 400\">What is the churn rate?<\/span><\/h4>\r\n<span style=\"font-weight: 400\">Churn rate is the percentage of users who stop using a mobile app over a defined period. It is calculated by dividing the number of users lost during a period by the number of users at the start of that period.<\/span>\r\n<h4><span style=\"font-weight: 400\">What is the churn rate formula?<\/span><\/h4>\r\n<span style=\"font-weight: 400\">The standard churn rate formula is: Churn Rate = (Users lost during period \/ Users at start of period) x 100. For subscription apps, the same formula is applied to paying customers rather than active users.<\/span>\r\n<h4><span style=\"font-weight: 400\">What is a good churn rate for mobile apps?<\/span><\/h4>\r\n<span style=\"font-weight: 400\">Churn rate benchmarks vary by app category. Gaming apps often see high early churn, with Day 1 churn rates exceeding 60% for casual titles. Subscription apps typically target monthly churn rates below 5%. The most useful benchmark is your own historical data compared over time.<\/span>\r\n<h4><span style=\"font-weight: 400\">What is the difference between churn rate and retention rate?<\/span><\/h4>\r\n<span style=\"font-weight: 400\">Churn rate measures the proportion of users who left during a period. Retention rate measures the proportion who stayed. The two are directly related: retention rate equals 100% minus churn rate. Both metrics are useful, but retention rate is more common for short-term engagement analysis while churn rate is more commonly used for subscription revenue forecasting.<\/span>\r\n<h4><span style=\"font-weight: 400\">How does an MMP help with churn rate analysis?<\/span><\/h4>\r\n<span style=\"font-weight: 400\">An MMP connects post-install behavior, including churn, back to the original acquisition source. This means you can compare churn rates across campaigns, channels, and creatives to understand which sources are delivering users who stay and which are not. Tenjin does this at the cohort level, giving you a granular and actionable view of churn across your entire user acquisition operation.<\/span>\r\n\r\n<!-- \/wp:paragraph -->\r\n\r\n<!-- wp:paragraph -->\r\n\r\n<!-- \/wp:paragraph -->","_links":{"self":[{"href":"https:\/\/tenjin.com\/zh\/wp-json\/wp\/v2\/glossaries\/223","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/tenjin.com\/zh\/wp-json\/wp\/v2\/glossaries"}],"about":[{"href":"https:\/\/tenjin.com\/zh\/wp-json\/wp\/v2\/taxonomies\/glossaries"}],"wp:post_type":[{"href":"https:\/\/tenjin.com\/zh\/wp-json\/wp\/v2\/docs?glossaries=223"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}