{"id":272,"count":0,"description":"","link":"https:\/\/tenjin.com\/tr\/glossary\/installs-per-mille-ipm\/","name":"Installs per Mille","slug":"installs-per-mille-ipm","taxonomy":"glossaries","parent":0,"meta":{"status":["1"],"order":["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<span style=\"font-weight: 400\">\r\nInstalls per mille, or IPM, is a mobile marketing metric that shows how many app installs are generated for every 1,000 ad impressions. It helps marketers evaluate how efficiently an ad, creative, or campaign turns exposure into installs.\u2028<\/span>\r\n\r\n<\/div>\r\n&nbsp;\r\n<h2><span style=\"font-weight: 400\">What are Installs per Mille?<\/span><\/h2>\r\n<span style=\"font-weight: 400\">Installs per mille measures the number of installs generated from 1,000 advertising impressions. <\/span><span style=\"font-weight: 400\">The word <\/span><b>mille<\/b><span style=\"font-weight: 400\"> means one thousand, which is why the metric is commonly abbreviated as IPM.<\/span><span style=\"font-weight: 400\">IPM combines two stages of the mobile acquisition funnel:<\/span>\r\n<pre>Ad impression \u2192 Install\r\n\r\n<\/pre>\r\n&nbsp;\r\n\r\n<span style=\"font-weight: 400\">This makes it a useful high-level measure of how efficient an advertising campaign is at converting exposure into installs. <\/span><span style=\"font-weight: 400\">A high IPM indicates the combination of creative, targeting, placement, store listing, and user intent is working well. A low IPM means fewer installs are being generated from the same number of impressions. <\/span><span style=\"font-weight: 400\">However, remember that IPM does not tell you whether those installs are profitable.<\/span>\r\n\r\n<span style=\"font-weight: 400\">A campaign can produce a very high IPM while acquiring users who never subscribe, make purchases, retain, or generate meaningful LTV. <\/span><span style=\"font-weight: 400\">This makes IPM useful when compared alongside downstream attribution and revenue metrics.<\/span>\r\n<h2><span style=\"font-weight: 400\">How Do You Calculate <\/span><span style=\"font-weight: 400\">Installs per Mille (IPM)?<\/span><\/h2>\r\n<span style=\"font-weight: 400\">The formula is simple:<\/span>\r\n<pre>IPM = Installs \u00f7 Impressions \u00d7 1,000<\/pre>\r\n&nbsp;\r\n\r\n<span style=\"font-weight: 400\">If a campaign generates <\/span><span style=\"font-weight: 400\">500,000 impression and <\/span><span style=\"font-weight: 400\">5,000 installs the the calculation would be:<\/span>\r\n\r\n&nbsp;\r\n<pre>5,000 \u00f7 500,000 \u00d7 1,000 = 10 IPM<\/pre>\r\n&nbsp;\r\n\r\n<span style=\"font-weight: 400\">The outcome is 10 installs for every 1,000 impressions. <\/span><span style=\"font-weight: 400\">Another campaign generates 500,000 impressions but only 2,500 installs.<\/span>\r\n\r\n&nbsp;\r\n<pre>2,500 \u00f7 500,000 \u00d7 1,000 = 5 IPM<\/pre>\r\n&nbsp;\r\n\r\n<span style=\"font-weight: 400\">In this example, the first campaign generates installs at twice the rate per 1,000 impressions or IPM.<\/span>\r\n<h2><span style=\"font-weight: 400\">Why Is IPM Important in Mobile User Acquisition?<\/span><\/h2>\r\n<span style=\"font-weight: 400\">IPM gives marketers a fast way to evaluate the efficiency of the top of the acquisition funnel. <\/span><span style=\"font-weight: 400\">It's particularly useful for comparing:<\/span>\r\n<ul>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Ad creatives<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Campaigns<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Ad networks<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Countries<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Audience segments<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Placements<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Ad formats<\/span><\/li>\r\n<\/ul>\r\n<span style=\"font-weight: 400\">For example, two creatives may receive the same number of impressions. <\/span>Creative A has <span style=\"font-weight: 400\">100,000 impressions and <\/span><span style=\"font-weight: 400\">2,000 installs for an <\/span><span style=\"font-weight: 400\">IPM of 20.\u00a0<\/span>Creative B has <span style=\"font-weight: 400\">100,000 impressions and <\/span><span style=\"font-weight: 400\">800 install with an IPM of 8. At first it seems that <\/span><span style=\"font-weight: 400\">Creative A is better at generating installs, but once we look at the numbers, the users from Campaign B generate twice the subscriber LTV at a later point.\u00a0<\/span>\r\n<h2><span style=\"font-weight: 400\">Installs per Mille (IPM)\u00a0<\/span><span style=\"font-weight: 400\"> vs. Click-Through Rate<\/span><\/h2>\r\n<span style=\"font-weight: 400\">Click-through rate, or CTR, measures how often users click an ad after seeing it. <\/span><span style=\"font-weight: 400\">IPM measures how often impressions ultimately lead to installs.<\/span>\r\n\r\n<span style=\"font-weight: 400\">The metrics answer different questions:<\/span>\r\n<ul>\r\n \t<li style=\"font-weight: 400\"><b>CTR:<\/b><span style=\"font-weight: 400\"> Does the ad generate clicks?<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><b>IPM:<\/b><span style=\"font-weight: 400\"> Does the ad exposure ultimately generate installs?<\/span><\/li>\r\n<\/ul>\r\n<span style=\"font-weight: 400\">A campaign can have a high CTR but a low IPM if many users click and then fail to install. <\/span><span style=\"font-weight: 400\">For example:<\/span>\r\n\r\n<b>Campaign A<\/b>\r\n<ul>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">100,000 impressions<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">5,000 clicks<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">1,000 installs<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">CTR: 5%<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">IPM: 10<\/span><\/li>\r\n<\/ul>\r\n<b>Campaign B<\/b>\r\n<ul>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">100,000 impressions<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">3,000 clicks<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">1,500 installs<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">CTR: 3%<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">IPM: 15<\/span><\/li>\r\n<\/ul>\r\n<span style=\"font-weight: 400\">Campaign A generates more clicks and C<\/span><span style=\"font-weight: 400\">ampaign B generates more installs per 1,000 impressions. This could<\/span><span style=\"font-weight: 400\">\u00a0mean Campaign B has stronger post-click conversion or attracts users with greater installation intent.<\/span>\r\n<h2><span style=\"font-weight: 400\">Installs per Mille (IPM)<\/span><span style=\"font-weight: 400\"> vs. Conversion Rate<\/span><\/h2>\r\n<span style=\"font-weight: 400\">Conversion rate usually measures the percentage of users who complete a desired action after reaching a particular step in the funnel. <\/span><span style=\"font-weight: 400\">In mobile UA, install conversion rate may compare clicks with installs. <\/span><span style=\"font-weight: 400\">IPM begins earlier because it uses impressions as the denominator. <\/span><span style=\"font-weight: 400\">A simplified acquisition funnel looks like:<\/span>\r\n<pre>Impression \u2192 Click \u2192 Install \u2192 Post-install event \u2192 Revenue\r\n\r\n<\/pre>\r\n<span style=\"font-weight: 400\">IPM compresses the first three steps into one metric, which can be quite helpful for <\/span><span style=\"font-weight: 400\"><a href=\"https:\/\/tenjin.com\/blog\/ai-creative-testing-more-ads-harder-decisions\/\">creative testing<\/a>, but it can also hide where performance changes occur. <\/span><span style=\"font-weight: 400\">A decreasing IPM could be caused by:<\/span>\r\n<ul>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Lower CTR<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Weaker click-to-install conversion<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Poor audience targeting<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Creative fatigue<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">App store listing issues<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Differences in traffic quality<\/span><\/li>\r\n<\/ul>\r\n<span style=\"font-weight: 400\">Marketers often need additional metrics to diagnose the actual cause.<\/span>\r\n<h2><span style=\"font-weight: 400\">Installs per Mille (IPM) vs. CPI<\/span><\/h2>\r\n<span style=\"font-weight: 400\">Cost per install, or CPI, measures how much advertising spend is required to generate an install, while <\/span><span style=\"font-weight: 400\">IPM focuses on how many installs are generated per 1,000 impressions. <\/span><span style=\"font-weight: 400\">A higher IPM can contribute to a lower CPI, but the relationship is not automatic because media prices also matter. For example let's look at two campaigns: Campaign A has an IPM of 20 and CPM of $10, Campaign B has an IPM of 10 and CPM of $3. From this, we can gather that <\/span><span style=\"font-weight: 400\">Campaign A generates installs better from impressions, however impressions from this campaign are more expensive.\u00a0 <\/span><span style=\"font-weight: 400\">Campaign B could still deliver a competitive CPI since the impression cost is lower, but it takes more time. These discrepancies show why <\/span><span style=\"font-weight: 400\">IPM should be interpreted alongside CPM, CPI, and downstream revenue.<\/span>\r\n<h2><span style=\"font-weight: 400\">Does a Higher IPM Mean a Better Campaign?<\/span><\/h2>\r\n<span style=\"font-weight: 400\">A higher IPM doesn't necessarily mean a better campaign. A high IPM shows how effective an ad is at generating installs from impression count, but it doesn't go further than that. It doesn't reveal whether the users are valuable after installing. <\/span>\r\n\r\n<span style=\"font-weight: 400\">Let's use two campaigns to help demonstrate. Campaign A has an IPM of 25, CPI of $1.20, and Day 30 LTV at $0.90. Campaign B has an IPM of 12, a CPI of $1.80, and Day 30 LTV at $4.00. In this example, Campaign A looks stronger at the top of the funnel and Campaign B captures users who generate more value. If your app monetizes through subscriptions, then Campaign B could produce more trials, renewals, and subscription revenue even though it has a lower IPM. Overall, the right optimization depends on your business objectives.\u00a0<\/span>\r\n<h2><span style=\"font-weight: 400\">How Does Attribution Affect IPM Measurement?<\/span><\/h2>\r\n<span style=\"font-weight: 400\">The number of installs always matters, especially for accurate IPMs. Even though ad networks report installs according to their own attribution system, independent MMPs attribute installs across a broader set of campaigns.\u00a0<\/span>\r\n\r\n<span style=\"font-weight: 400\">Tenjin distinguishes between <\/span><a href=\"https:\/\/tenjin.com\/glossary\/reported-installs\/\"><b>Reported Installs<\/b><\/a><span style=\"font-weight: 400\"> from ad network APIs and <\/span><a href=\"https:\/\/tenjin.com\/glossary\/tracked-installs\/\"><b>Tracked Installs<\/b><\/a><span style=\"font-weight: 400\"> which are attributed through Tenjin's measurement framework. <\/span><span style=\"font-weight: 400\">These install totals do not always match because attribution methodology and visibility differ. It also<\/span><span style=\"font-weight: 400\"> means that IPM calculations based on network-reported installs may not be identical to one based on independently attributed installs. If you are using more than one ad network, it would make sense to use a normalized metric compared to network-reported numbers.\u00a0<\/span>\r\n\r\n<span style=\"font-weight: 400\">Teams should know which install definition is being used when comparing performance. To learn more about the difference between reported and tracked installs in Tenjin, you can read our blog <a href=\"https:\/\/tenjin.com\/blog\/reported-installs-vs-tracked-installs\/\">here<\/a>.\u00a0<\/span>\r\n<h2><span style=\"font-weight: 400\">How Can an MMP Make Installs per Mille More Useful?<\/span><\/h2>\r\n<span style=\"font-weight: 400\">An MMP connects installs that come from ads with what happens after the install, allowing marketers to move from the top to the bottom of the funnel. This helps answer questions like: which creative produces the highest IPM? To more deep questions like: which campaign produces the strongest ROAS? Which campaigns generate more paying subscribers? Does the creative with the highest IPM also produce the best user quality?\u00a0<\/span>\r\n\r\nBeing able to move through the funnel is critical for subscription and hybrid monetization apps since most earned value comes post-install.\r\n\r\n<span style=\"font-weight: 400\">Take a productivity app that wants to test two creatives: A and B. <\/span>\r\n\r\n<b>Creative A<\/b>\r\n<ul>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Impressions: 1,000,000<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Installs: 20,000<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">IPM: 20<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Trials: 1,000<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Paid subscribers: 300<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Six-month subscription revenue: $15,000<\/span><\/li>\r\n<\/ul>\r\n<b>Creative B<\/b>\r\n\r\n&nbsp;\r\n<ul>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Impressions: 1,000,000<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Installs: 12,000<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">IPM: 12<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Trials: 1,500<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Paid subscribers: 600<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Six-month subscription revenue: $36,000<\/span><\/li>\r\n<\/ul>\r\n<span style=\"font-weight: 400\">Creative A wins on IPM, but C<\/span><span style=\"font-weight: 400\">reative B wins on trial quality, subscriber conversion, and long-term revenue. This demonstrates why <\/span><span style=\"font-weight: 400\">treating installs\u00a0 as the final measure of campaign quality isn't the right end point.\u00a0<\/span>\r\n<h2><span style=\"font-weight: 400\">What Can Cause Installs per Mille to Change?<\/span><\/h2>\r\n<span style=\"font-weight: 400\">IPM can move because of changes in:<\/span>\r\n<ul>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Creative performance<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Audience targeting<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Ad placement<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Ad format<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Geography<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Seasonality<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">App store conversion<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Brand awareness<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Creative fatigue<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Traffic quality<\/span><\/li>\r\n<\/ul>\r\n<span style=\"font-weight: 400\">A drop in IPM should therefore be investigated rather than automatically blamed on one factor. <\/span><span style=\"font-weight: 400\">If CTR falls, the creative may be losing attention. <\/span><span style=\"font-weight: 400\">If CTR remains stable but IPM falls, the issue may be happening after the click.<\/span>\r\n<h2><span style=\"font-weight: 400\">Best Practices for Measuring IPM (Installs per Mille)<\/span><\/h2>\r\n<b>Use a consistent install definition.<\/b><span style=\"font-weight: 400\">\r\nKnow whether the metric uses network-reported or independently attributed installs.<\/span>\r\n\r\n<b>Compare similar audiences and placements.<\/b><span style=\"font-weight: 400\">\r\nIPM can vary substantially by country, format, and targeting.<\/span>\r\n\r\n<b>Do not optimize on IPM alone.<\/b><span style=\"font-weight: 400\">\r\n<\/span><span style=\"font-weight: 400\">Include retention, conversion, LTV, revenue, and ROAS.<\/span>\r\n\r\n<b>Track creative changes over time.<\/b><span style=\"font-weight: 400\">\r\nDeclining IPM can be a sign of creative fatigue.<\/span>\r\n\r\n<b>Use cohort analysis for downstream quality.<\/b><span style=\"font-weight: 400\">\r\nA high-IPM campaign may still generate poor long-term value.<\/span>\r\n\r\n<b>Keep the acronym in context.<\/b><span style=\"font-weight: 400\">\r\nIPM has meanings outside mobile marketing, so consistently use \u201cinstalls per mille (IPM).<\/span>\r\n\r\n<hr \/>\r\n\r\n<h2><strong>Related Terms<\/strong><\/h2>\r\n<ul>\r\n \t<li style=\"font-weight: 400\"><a href=\"https:\/\/tenjin.com\/glossary\/ad-format\/\"><span style=\"font-weight: 400\">Ad Format<\/span><\/a><\/li>\r\n \t<li style=\"font-weight: 400\"><a href=\"https:\/\/tenjin.com\/glossary\/attribution\/\"><span style=\"font-weight: 400\">Attribution<\/span><\/a><\/li>\r\n \t<li style=\"font-weight: 400\"><a href=\"https:\/\/tenjin.com\/glossary\/click-through-rate-ctr\/\"><span style=\"font-weight: 400\">Click-Through Rate<\/span><\/a><\/li>\r\n \t<li style=\"font-weight: 400\"><a href=\"https:\/\/tenjin.com\/glossary\/conversion-rate-cvr\/\"><span style=\"font-weight: 400\">Conversion Rate<\/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<\/span><\/a><\/li>\r\n \t<li style=\"font-weight: 400\"><a href=\"https:\/\/tenjin.com\/glossary\/cost-per-mille-1000-cpm\/\"><span style=\"font-weight: 400\">Cost Per Mille<\/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<\/span><\/a><\/li>\r\n \t<li style=\"font-weight: 400\"><a href=\"https:\/\/tenjin.com\/glossary\/mobile-measurement-partner-mmp\/\"><span style=\"font-weight: 400\">Mobile Measurement Partner<\/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<\/span><\/a><\/li>\r\n<\/ul>\r\n\r\n<hr \/>\r\n\r\n<h2><span style=\"font-weight: 400\">Frequently Asked Questions<\/span><\/h2>\r\n<h4><span style=\"font-weight: 400\">What does IPM mean in mobile marketing?<\/span><\/h4>\r\n<span style=\"font-weight: 400\">IPM means installs per mille, or the number of installs generated for every 1,000 ad impressions.<\/span>\r\n<h4><span style=\"font-weight: 400\">How do you calculate installs per mille?<\/span><\/h4>\r\n<span style=\"font-weight: 400\">Divide installs by impressions and multiply the result by 1,000.<\/span>\r\n<h4><span style=\"font-weight: 400\">Is a higher IPM always better?<\/span><\/h4>\r\n<span style=\"font-weight: 400\">No. A higher IPM means more installs per 1,000 impressions, but those users may still have weak retention, LTV, or revenue performance.<\/span>\r\n<h4><span style=\"font-weight: 400\">What is the difference between IPM and CPI?<\/span><\/h4>\r\n<span style=\"font-weight: 400\">IPM measures installation efficiency relative to impressions. CPI measures the advertising cost required to generate one install.<\/span>\r\n<h4><span style=\"font-weight: 400\">Why should an MMP be used alongside IPM?<\/span><\/h4>\r\n<span style=\"font-weight: 400\">An MMP connects installs with acquisition sources and post-install outcomes, helping marketers determine whether high-IPM campaigns also generate valuable users.<\/span>"]},"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Installs per Mille | Tenjin<\/title>\n<meta name=\"description\" content=\"Learn what installs per mille (IPM) means, how to calculate it, and how mobile marketers use IPM with CPI, CTR, conversion rate, and attribution data.\" \/>\n<meta name=\"robots\" content=\"noindex, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Installs per Mille | Tenjin\" \/>\n<meta property=\"og:description\" content=\"Learn what installs per mille (IPM) means, how to calculate it, and how mobile marketers use IPM with CPI, CTR, conversion rate, and attribution data.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.tenjin.com\/glossary\/installs-per-mille-ipm\" \/>\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\\\/installs-per-mille-ipm\\\/\",\"url\":\"https:\\\/\\\/www.tenjin.com\\\/glossary\\\/installs-per-mille-ipm\",\"name\":\"Installs per Mille | Tenjin\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/tenjin.com\\\/#website\"},\"description\":\"Learn what installs per mille (IPM) means, how to calculate it, and how mobile marketers use IPM with CPI, CTR, conversion rate, and attribution data.\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/www.tenjin.com\\\/glossary\\\/installs-per-mille-ipm#breadcrumb\"},\"inLanguage\":\"tr\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/www.tenjin.com\\\/glossary\\\/installs-per-mille-ipm#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/tenjin.com\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Installs per Mille\"}]},{\"@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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It helps marketers evaluate how efficiently an ad, creative, or campaign turns exposure into installs.\u2028<\/span>\r\n\r\n<\/div>\r\n&nbsp;\r\n<h2><span style=\"font-weight: 400\">What are Installs per Mille?<\/span><\/h2>\r\n<span style=\"font-weight: 400\">Installs per mille measures the number of installs generated from 1,000 advertising impressions. <\/span><span style=\"font-weight: 400\">The word <\/span><b>mille<\/b><span style=\"font-weight: 400\"> means one thousand, which is why the metric is commonly abbreviated as IPM.<\/span><span style=\"font-weight: 400\">IPM combines two stages of the mobile acquisition funnel:<\/span>\r\n<pre>Ad impression \u2192 Install\r\n\r\n<\/pre>\r\n&nbsp;\r\n\r\n<span style=\"font-weight: 400\">This makes it a useful high-level measure of how efficient an advertising campaign is at converting exposure into installs. <\/span><span style=\"font-weight: 400\">A high IPM indicates the combination of creative, targeting, placement, store listing, and user intent is working well. A low IPM means fewer installs are being generated from the same number of impressions. <\/span><span style=\"font-weight: 400\">However, remember that IPM does not tell you whether those installs are profitable.<\/span>\r\n\r\n<span style=\"font-weight: 400\">A campaign can produce a very high IPM while acquiring users who never subscribe, make purchases, retain, or generate meaningful LTV. <\/span><span style=\"font-weight: 400\">This makes IPM useful when compared alongside downstream attribution and revenue metrics.<\/span>\r\n<h2><span style=\"font-weight: 400\">How Do You Calculate <\/span><span style=\"font-weight: 400\">Installs per Mille (IPM)?<\/span><\/h2>\r\n<span style=\"font-weight: 400\">The formula is simple:<\/span>\r\n<pre>IPM = Installs \u00f7 Impressions \u00d7 1,000<\/pre>\r\n&nbsp;\r\n\r\n<span style=\"font-weight: 400\">If a campaign generates <\/span><span style=\"font-weight: 400\">500,000 impression and <\/span><span style=\"font-weight: 400\">5,000 installs the the calculation would be:<\/span>\r\n\r\n&nbsp;\r\n<pre>5,000 \u00f7 500,000 \u00d7 1,000 = 10 IPM<\/pre>\r\n&nbsp;\r\n\r\n<span style=\"font-weight: 400\">The outcome is 10 installs for every 1,000 impressions. <\/span><span style=\"font-weight: 400\">Another campaign generates 500,000 impressions but only 2,500 installs.<\/span>\r\n\r\n&nbsp;\r\n<pre>2,500 \u00f7 500,000 \u00d7 1,000 = 5 IPM<\/pre>\r\n&nbsp;\r\n\r\n<span style=\"font-weight: 400\">In this example, the first campaign generates installs at twice the rate per 1,000 impressions or IPM.<\/span>\r\n<h2><span style=\"font-weight: 400\">Why Is IPM Important in Mobile User Acquisition?<\/span><\/h2>\r\n<span style=\"font-weight: 400\">IPM gives marketers a fast way to evaluate the efficiency of the top of the acquisition funnel. <\/span><span style=\"font-weight: 400\">It's particularly useful for comparing:<\/span>\r\n<ul>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Ad creatives<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Campaigns<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Ad networks<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Countries<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Audience segments<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Placements<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Ad formats<\/span><\/li>\r\n<\/ul>\r\n<span style=\"font-weight: 400\">For example, two creatives may receive the same number of impressions. <\/span>Creative A has <span style=\"font-weight: 400\">100,000 impressions and <\/span><span style=\"font-weight: 400\">2,000 installs for an <\/span><span style=\"font-weight: 400\">IPM of 20.\u00a0<\/span>Creative B has <span style=\"font-weight: 400\">100,000 impressions and <\/span><span style=\"font-weight: 400\">800 install with an IPM of 8. At first it seems that <\/span><span style=\"font-weight: 400\">Creative A is better at generating installs, but once we look at the numbers, the users from Campaign B generate twice the subscriber LTV at a later point.\u00a0<\/span>\r\n<h2><span style=\"font-weight: 400\">Installs per Mille (IPM)\u00a0<\/span><span style=\"font-weight: 400\"> vs. Click-Through Rate<\/span><\/h2>\r\n<span style=\"font-weight: 400\">Click-through rate, or CTR, measures how often users click an ad after seeing it. <\/span><span style=\"font-weight: 400\">IPM measures how often impressions ultimately lead to installs.<\/span>\r\n\r\n<span style=\"font-weight: 400\">The metrics answer different questions:<\/span>\r\n<ul>\r\n \t<li style=\"font-weight: 400\"><b>CTR:<\/b><span style=\"font-weight: 400\"> Does the ad generate clicks?<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><b>IPM:<\/b><span style=\"font-weight: 400\"> Does the ad exposure ultimately generate installs?<\/span><\/li>\r\n<\/ul>\r\n<span style=\"font-weight: 400\">A campaign can have a high CTR but a low IPM if many users click and then fail to install. <\/span><span style=\"font-weight: 400\">For example:<\/span>\r\n\r\n<b>Campaign A<\/b>\r\n<ul>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">100,000 impressions<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">5,000 clicks<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">1,000 installs<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">CTR: 5%<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">IPM: 10<\/span><\/li>\r\n<\/ul>\r\n<b>Campaign B<\/b>\r\n<ul>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">100,000 impressions<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">3,000 clicks<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">1,500 installs<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">CTR: 3%<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">IPM: 15<\/span><\/li>\r\n<\/ul>\r\n<span style=\"font-weight: 400\">Campaign A generates more clicks and C<\/span><span style=\"font-weight: 400\">ampaign B generates more installs per 1,000 impressions. This could<\/span><span style=\"font-weight: 400\">\u00a0mean Campaign B has stronger post-click conversion or attracts users with greater installation intent.<\/span>\r\n<h2><span style=\"font-weight: 400\">Installs per Mille (IPM)<\/span><span style=\"font-weight: 400\"> vs. Conversion Rate<\/span><\/h2>\r\n<span style=\"font-weight: 400\">Conversion rate usually measures the percentage of users who complete a desired action after reaching a particular step in the funnel. <\/span><span style=\"font-weight: 400\">In mobile UA, install conversion rate may compare clicks with installs. <\/span><span style=\"font-weight: 400\">IPM begins earlier because it uses impressions as the denominator. <\/span><span style=\"font-weight: 400\">A simplified acquisition funnel looks like:<\/span>\r\n<pre>Impression \u2192 Click \u2192 Install \u2192 Post-install event \u2192 Revenue\r\n\r\n<\/pre>\r\n<span style=\"font-weight: 400\">IPM compresses the first three steps into one metric, which can be quite helpful for <\/span><span style=\"font-weight: 400\"><a href=\"https:\/\/tenjin.com\/blog\/ai-creative-testing-more-ads-harder-decisions\/\">creative testing<\/a>, but it can also hide where performance changes occur. <\/span><span style=\"font-weight: 400\">A decreasing IPM could be caused by:<\/span>\r\n<ul>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Lower CTR<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Weaker click-to-install conversion<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Poor audience targeting<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Creative fatigue<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">App store listing issues<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Differences in traffic quality<\/span><\/li>\r\n<\/ul>\r\n<span style=\"font-weight: 400\">Marketers often need additional metrics to diagnose the actual cause.<\/span>\r\n<h2><span style=\"font-weight: 400\">Installs per Mille (IPM) vs. CPI<\/span><\/h2>\r\n<span style=\"font-weight: 400\">Cost per install, or CPI, measures how much advertising spend is required to generate an install, while <\/span><span style=\"font-weight: 400\">IPM focuses on how many installs are generated per 1,000 impressions. <\/span><span style=\"font-weight: 400\">A higher IPM can contribute to a lower CPI, but the relationship is not automatic because media prices also matter. For example let's look at two campaigns: Campaign A has an IPM of 20 and CPM of $10, Campaign B has an IPM of 10 and CPM of $3. From this, we can gather that <\/span><span style=\"font-weight: 400\">Campaign A generates installs better from impressions, however impressions from this campaign are more expensive.\u00a0 <\/span><span style=\"font-weight: 400\">Campaign B could still deliver a competitive CPI since the impression cost is lower, but it takes more time. These discrepancies show why <\/span><span style=\"font-weight: 400\">IPM should be interpreted alongside CPM, CPI, and downstream revenue.<\/span>\r\n<h2><span style=\"font-weight: 400\">Does a Higher IPM Mean a Better Campaign?<\/span><\/h2>\r\n<span style=\"font-weight: 400\">A higher IPM doesn't necessarily mean a better campaign. A high IPM shows how effective an ad is at generating installs from impression count, but it doesn't go further than that. It doesn't reveal whether the users are valuable after installing. <\/span>\r\n\r\n<span style=\"font-weight: 400\">Let's use two campaigns to help demonstrate. Campaign A has an IPM of 25, CPI of $1.20, and Day 30 LTV at $0.90. Campaign B has an IPM of 12, a CPI of $1.80, and Day 30 LTV at $4.00. In this example, Campaign A looks stronger at the top of the funnel and Campaign B captures users who generate more value. If your app monetizes through subscriptions, then Campaign B could produce more trials, renewals, and subscription revenue even though it has a lower IPM. Overall, the right optimization depends on your business objectives.\u00a0<\/span>\r\n<h2><span style=\"font-weight: 400\">How Does Attribution Affect IPM Measurement?<\/span><\/h2>\r\n<span style=\"font-weight: 400\">The number of installs always matters, especially for accurate IPMs. Even though ad networks report installs according to their own attribution system, independent MMPs attribute installs across a broader set of campaigns.\u00a0<\/span>\r\n\r\n<span style=\"font-weight: 400\">Tenjin distinguishes between <\/span><a href=\"https:\/\/tenjin.com\/glossary\/reported-installs\/\"><b>Reported Installs<\/b><\/a><span style=\"font-weight: 400\"> from ad network APIs and <\/span><a href=\"https:\/\/tenjin.com\/glossary\/tracked-installs\/\"><b>Tracked Installs<\/b><\/a><span style=\"font-weight: 400\"> which are attributed through Tenjin's measurement framework. <\/span><span style=\"font-weight: 400\">These install totals do not always match because attribution methodology and visibility differ. It also<\/span><span style=\"font-weight: 400\"> means that IPM calculations based on network-reported installs may not be identical to one based on independently attributed installs. If you are using more than one ad network, it would make sense to use a normalized metric compared to network-reported numbers.\u00a0<\/span>\r\n\r\n<span style=\"font-weight: 400\">Teams should know which install definition is being used when comparing performance. To learn more about the difference between reported and tracked installs in Tenjin, you can read our blog <a href=\"https:\/\/tenjin.com\/blog\/reported-installs-vs-tracked-installs\/\">here<\/a>.\u00a0<\/span>\r\n<h2><span style=\"font-weight: 400\">How Can an MMP Make Installs per Mille More Useful?<\/span><\/h2>\r\n<span style=\"font-weight: 400\">An MMP connects installs that come from ads with what happens after the install, allowing marketers to move from the top to the bottom of the funnel. This helps answer questions like: which creative produces the highest IPM? To more deep questions like: which campaign produces the strongest ROAS? Which campaigns generate more paying subscribers? Does the creative with the highest IPM also produce the best user quality?\u00a0<\/span>\r\n\r\nBeing able to move through the funnel is critical for subscription and hybrid monetization apps since most earned value comes post-install.\r\n\r\n<span style=\"font-weight: 400\">Take a productivity app that wants to test two creatives: A and B. <\/span>\r\n\r\n<b>Creative A<\/b>\r\n<ul>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Impressions: 1,000,000<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Installs: 20,000<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">IPM: 20<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Trials: 1,000<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Paid subscribers: 300<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Six-month subscription revenue: $15,000<\/span><\/li>\r\n<\/ul>\r\n<b>Creative B<\/b>\r\n\r\n&nbsp;\r\n<ul>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Impressions: 1,000,000<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Installs: 12,000<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">IPM: 12<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Trials: 1,500<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Paid subscribers: 600<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Six-month subscription revenue: $36,000<\/span><\/li>\r\n<\/ul>\r\n<span style=\"font-weight: 400\">Creative A wins on IPM, but C<\/span><span style=\"font-weight: 400\">reative B wins on trial quality, subscriber conversion, and long-term revenue. This demonstrates why <\/span><span style=\"font-weight: 400\">treating installs\u00a0 as the final measure of campaign quality isn't the right end point.\u00a0<\/span>\r\n<h2><span style=\"font-weight: 400\">What Can Cause Installs per Mille to Change?<\/span><\/h2>\r\n<span style=\"font-weight: 400\">IPM can move because of changes in:<\/span>\r\n<ul>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Creative performance<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Audience targeting<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Ad placement<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Ad format<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Geography<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Seasonality<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">App store conversion<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Brand awareness<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Creative fatigue<\/span><\/li>\r\n \t<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Traffic quality<\/span><\/li>\r\n<\/ul>\r\n<span style=\"font-weight: 400\">A drop in IPM should therefore be investigated rather than automatically blamed on one factor. <\/span><span style=\"font-weight: 400\">If CTR falls, the creative may be losing attention. <\/span><span style=\"font-weight: 400\">If CTR remains stable but IPM falls, the issue may be happening after the click.<\/span>\r\n<h2><span style=\"font-weight: 400\">Best Practices for Measuring IPM (Installs per Mille)<\/span><\/h2>\r\n<b>Use a consistent install definition.<\/b><span style=\"font-weight: 400\">\r\nKnow whether the metric uses network-reported or independently attributed installs.<\/span>\r\n\r\n<b>Compare similar audiences and placements.<\/b><span style=\"font-weight: 400\">\r\nIPM can vary substantially by country, format, and targeting.<\/span>\r\n\r\n<b>Do not optimize on IPM alone.<\/b><span style=\"font-weight: 400\">\r\n<\/span><span style=\"font-weight: 400\">Include retention, conversion, LTV, revenue, and ROAS.<\/span>\r\n\r\n<b>Track creative changes over time.<\/b><span style=\"font-weight: 400\">\r\nDeclining IPM can be a sign of creative fatigue.<\/span>\r\n\r\n<b>Use cohort analysis for downstream quality.<\/b><span style=\"font-weight: 400\">\r\nA high-IPM campaign may still generate poor long-term value.<\/span>\r\n\r\n<b>Keep the acronym in context.<\/b><span style=\"font-weight: 400\">\r\nIPM has meanings outside mobile marketing, so consistently use \u201cinstalls per mille (IPM).<\/span>\r\n\r\n<hr \/>\r\n\r\n<h2><strong>Related Terms<\/strong><\/h2>\r\n<ul>\r\n \t<li style=\"font-weight: 400\"><a href=\"https:\/\/tenjin.com\/glossary\/ad-format\/\"><span style=\"font-weight: 400\">Ad Format<\/span><\/a><\/li>\r\n \t<li style=\"font-weight: 400\"><a href=\"https:\/\/tenjin.com\/glossary\/attribution\/\"><span style=\"font-weight: 400\">Attribution<\/span><\/a><\/li>\r\n \t<li style=\"font-weight: 400\"><a href=\"https:\/\/tenjin.com\/glossary\/click-through-rate-ctr\/\"><span style=\"font-weight: 400\">Click-Through Rate<\/span><\/a><\/li>\r\n \t<li style=\"font-weight: 400\"><a href=\"https:\/\/tenjin.com\/glossary\/conversion-rate-cvr\/\"><span style=\"font-weight: 400\">Conversion Rate<\/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<\/span><\/a><\/li>\r\n \t<li style=\"font-weight: 400\"><a href=\"https:\/\/tenjin.com\/glossary\/cost-per-mille-1000-cpm\/\"><span style=\"font-weight: 400\">Cost Per Mille<\/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<\/span><\/a><\/li>\r\n \t<li style=\"font-weight: 400\"><a href=\"https:\/\/tenjin.com\/glossary\/mobile-measurement-partner-mmp\/\"><span style=\"font-weight: 400\">Mobile Measurement Partner<\/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<\/span><\/a><\/li>\r\n<\/ul>\r\n\r\n<hr \/>\r\n\r\n<h2><span style=\"font-weight: 400\">Frequently Asked Questions<\/span><\/h2>\r\n<h4><span style=\"font-weight: 400\">What does IPM mean in mobile marketing?<\/span><\/h4>\r\n<span style=\"font-weight: 400\">IPM means installs per mille, or the number of installs generated for every 1,000 ad impressions.<\/span>\r\n<h4><span style=\"font-weight: 400\">How do you calculate installs per mille?<\/span><\/h4>\r\n<span style=\"font-weight: 400\">Divide installs by impressions and multiply the result by 1,000.<\/span>\r\n<h4><span style=\"font-weight: 400\">Is a higher IPM always better?<\/span><\/h4>\r\n<span style=\"font-weight: 400\">No. A higher IPM means more installs per 1,000 impressions, but those users may still have weak retention, LTV, or revenue performance.<\/span>\r\n<h4><span style=\"font-weight: 400\">What is the difference between IPM and CPI?<\/span><\/h4>\r\n<span style=\"font-weight: 400\">IPM measures installation efficiency relative to impressions. CPI measures the advertising cost required to generate one install.<\/span>\r\n<h4><span style=\"font-weight: 400\">Why should an MMP be used alongside IPM?<\/span><\/h4>\r\n<span style=\"font-weight: 400\">An MMP connects installs with acquisition sources and post-install outcomes, helping marketers determine whether high-IPM campaigns also generate valuable users.<\/span>","_links":{"self":[{"href":"https:\/\/tenjin.com\/tr\/wp-json\/wp\/v2\/glossaries\/272","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/tenjin.com\/tr\/wp-json\/wp\/v2\/glossaries"}],"about":[{"href":"https:\/\/tenjin.com\/tr\/wp-json\/wp\/v2\/taxonomies\/glossaries"}],"wp:post_type":[{"href":"https:\/\/tenjin.com\/tr\/wp-json\/wp\/v2\/docs?glossaries=272"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}