Click to Install Time, often abbreviated as CTIT, measures the amount of time between when a user clicks on an advertisement and when they open the app for the first time after installation.
CTIT is a crucial metric in mobile marketing and ad fraud detection. It helps marketers and analysts understand how long it typically takes for a genuine user to act on an ad and complete an install. When CTIT data shows unusual patterns, it can be a strong signal of fraudulent activity, such as click flooding or click injection.
Because attribution in mobile advertising often relies on identifying which click led to an install, monitoring CTIT helps verify whether those installs are genuine or manipulated.
CTIT plays a key role in identifying fraud and ensuring the accuracy of attribution data. In mobile app marketing, advertisers often pay for installs based on a last-click attribution model, which rewards the source of the final click before an app is installed.
Fraudsters exploit this system by sending fake clicks at just the right moment to claim credit for real installs. Tracking CTIT allows marketers to spot when these fake interactions occur.
A normal CTIT distribution usually shows most installs happening within a reasonable window of time after a click. If the data shows unusually short or long CTITs, it often means something suspicious is happening.
CTIT is particularly effective in detecting two major types of ad fraud: click flooding and click injection.
1. Detecting Click Flooding
Click flooding, also called click spamming, happens when fraudsters send large numbers of fake clicks hoping one of them matches a real user’s install. This often results in very long CTIT patterns because the fake click and the real install are unrelated.
If you notice a large volume of installs with delayed CTITs — hours or even days after the click — it’s a strong indicator that click flooding may be taking place.
2. Detecting Click Injection
Click injection involves fraudulent apps that detect when another app is about to be installed and send a fake click at that exact moment to steal credit. In these cases, CTIT values appear unusually short — often just a few seconds.
A high number of near-instant installs after a click usually points to click injection. This manipulation can make it seem like a partner drove the install when, in reality, it was already in progress.
When evaluating CTIT distributions, consider the following guidelines:
Comparing CTIT patterns across publishers, networks, or campaigns helps identify outliers that deserve further investigation.
CTIT stands for Click to Install Time, the time between a user clicking on an ad and opening the installed app.
CTIT helps detect fraudulent activity like click spamming or click injection by revealing unnatural timing patterns between clicks and installs.
Most genuine installs occur within one hour after a click, and almost all within 24 hours. Anything far outside that range may need review.
Click flooding causes long CTIT values because the fraudulent click happens long before a legitimate user installs the app.
An extremely short CTIT — only a few seconds — may suggest click injection, where fraudsters send fake clicks just before an install.
By analyzing CTIT distributions across campaigns, marketers can spot anomalies, block fraudulent traffic sources, and improve attribution accuracy.