{"id":58485,"date":"2026-05-21T20:11:21","date_gmt":"2026-05-21T17:11:21","guid":{"rendered":"https:\/\/affisemmp.com\/?post_type=glossary-term&#038;p=58485"},"modified":"2026-09-09T11:32:53","modified_gmt":"2026-09-09T08:32:53","slug":"contextual-targeting","status":"publish","type":"glossary-term","link":"https:\/\/affisemmp.com\/ru\/glossary-term\/contextual-targeting\/","title":{"rendered":"Contextual Targeting"},"content":{"rendered":"<h2 data-path-to-node=\"3\">What is Click-to-Install Time (CTIT)?<\/h2>\n<p data-path-to-node=\"4\"><b data-path-to-node=\"4\" data-index-in-node=\"0\">Click-to-Install Time (CTIT)<\/b>, also known as Time-to-Install (TTI), is a crucial mobile attribution metric that measures the amount of time that passes between a user clicking on a mobile advertisement and the moment they open the app for the very first time.<\/p>\n<p data-path-to-node=\"5\">In the mobile marketing ecosystem, an &#171;install&#187; is officially recorded not when the app finishes downloading from the app store, but when the user launches the app and the Mobile Measurement Partner (MMP) SDK is initialized. Therefore, CTIT tracks the entire journey from the initial ad click, through the app store redirection, the download process, and the first app open.<\/p>\n<h2 data-path-to-node=\"6\">Why is CTIT Crucial for Mobile Marketers?<\/h2>\n<p data-path-to-node=\"7\">While CTIT can provide insights into user behavior and app size (larger apps take longer to download), its primary use in mobile marketing is <b data-path-to-node=\"7\" data-index-in-node=\"142\">fraud detection and prevention<\/b>.<\/p>\n<p data-path-to-node=\"8\">By analyzing the distribution of Click-to-Install Times across different campaigns and publishing partners, User Acquisition (UA) managers can identify highly suspicious patterns that indicate mobile ad fraud. Fraudsters manipulate attribution windows to steal organic installs, and CTIT is the primary metric used to catch them.<\/p>\n<h3 data-path-to-node=\"9\">1. Detecting Click Injection (Abnormally Short CTIT)<\/h3>\n<p data-path-to-node=\"10\">Click injection occurs when a fraudster publishes a malicious &#171;junk&#187; app that runs in the background of a user&#8217;s device. When the user downloads a legitimate app, the malicious app detects the install broadcast and generates a fake ad click just seconds before the legitimate app is opened.<\/p>\n<ul data-path-to-node=\"11\">\n<li>\n<p data-path-to-node=\"11,0,0\"><b data-path-to-node=\"11,0,0\" data-index-in-node=\"0\">The CTIT Pattern:<\/b> A massive spike in installs with a CTIT of under 10 seconds. Since it is physically impossible for a human to click an ad, download an app, and open it in under 10 seconds, these installs are immediately flagged as fraudulent.<\/p>\n<\/li>\n<\/ul>\n<h3 data-path-to-node=\"12\">2. Detecting Click Spamming (Abnormally Long CTIT)<\/h3>\n<p data-path-to-node=\"13\">Click spamming (or click flooding) happens when fraudsters send millions of fake clicks to an MMP on behalf of users who haven&#8217;t actually viewed or clicked an ad. The goal is to capture the attribution by coincidence if the user organically downloads the app later.<\/p>\n<ul data-path-to-node=\"14\">\n<li>\n<p data-path-to-node=\"14,0,0\"><b data-path-to-node=\"14,0,0\" data-index-in-node=\"0\">The CTIT Pattern:<\/b> A perfectly flat distribution of installs spread evenly over a 24-hour to 7-day period. Legitimate ad campaigns see a natural curve where most users install within the first hour of clicking. A flat, drawn-out CTIT distribution is a strong indicator of click spamming.<\/p>\n<\/li>\n<\/ul>\n<h2 data-path-to-node=\"15\">What is a Normal Click-to-Install Time?<\/h2>\n<p data-path-to-node=\"16\">While &#171;normal&#187; can vary based on the app&#8217;s file size, the user&#8217;s internet connection speed (WiFi vs. Cellular), and the app store ecosystem, a healthy CTIT distribution typically follows a steep, natural curve:<\/p>\n<ul data-path-to-node=\"17\">\n<li>\n<p data-path-to-node=\"17,0,0\"><b data-path-to-node=\"17,0,0\" data-index-in-node=\"0\">0 &#8212; 10 Seconds:<\/b> Highly suspicious (Potential Click Injection).<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"17,1,0\"><b data-path-to-node=\"17,1,0\" data-index-in-node=\"0\">30 Seconds &#8212; 60 Minutes:<\/b> The &#171;Healthy Zone.&#187; The vast majority of legitimate users will download and open the app within this timeframe.<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"17,2,0\"><b data-path-to-node=\"17,2,0\" data-index-in-node=\"0\">1 Hour &#8212; 24 Hours:<\/b> A steep drop-off. Some users may click an ad, download the app, but wait until later in the day to open it.<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"17,3,0\"><b data-path-to-node=\"17,3,0\" data-index-in-node=\"0\">24+ Hours:<\/b> Minimal installs. If a high percentage of installs occur days after the click, it strongly suggests Click Spamming.<\/p>\n<\/li>\n<\/ul>\n<h2 data-path-to-node=\"18\">How Affise MMP Uses CTIT to Protect Your Ad Spend<\/h2>\n<p data-path-to-node=\"19\">As a powerful Mobile Measurement Partner, <a href=\"https:\/\/affisemmp.com\/\"><b data-path-to-node=\"19\" data-index-in-node=\"42\">Affise MMP<\/b><\/a> utilizes advanced CTIT analysis to protect your marketing budget from attribution fraud.<\/p>\n<ul data-path-to-node=\"20\">\n<li>\n<p data-path-to-node=\"20,0,0\"><b data-path-to-node=\"20,0,0\" data-index-in-node=\"0\">Real-Time Fraud Prevention:<\/b> Affise MMP actively monitors the time elapsed between clicks and installs. Traffic sources exhibiting biologically impossible CTITs (like click injection) are automatically flagged and rejected before they drain your budget.<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"20,1,0\"><b data-path-to-node=\"20,1,0\" data-index-in-node=\"0\">Custom Validation Rules:<\/b> Affise allows advertisers to set specific CTIT thresholds based on their unique app size and target market. Installs falling outside these custom parameters can be denied attribution, ensuring you only pay for legitimate user acquisition.<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"20,2,0\"><b data-path-to-node=\"20,2,0\" data-index-in-node=\"0\">Transparent Reporting:<\/b> Affise provides highly granular, visual reports on CTIT distribution, allowing UA teams to audit partner traffic quality, identify suspicious networks, and optimize their Return on Ad Spend (ROAS) with confidence.<\/p>\n<\/li>\n<\/ul>\n","protected":false},"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false},"class_list":["post-58485","glossary-term","type-glossary-term","status-publish","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Contextual Targeting Definition: Marketing Glossary | Affise<\/title>\n<meta name=\"description\" content=\"What is Contextual Targeting? 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