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ChatGPT Ads Attribution: Measure What Happens After the Ad

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As new advertising channels become part of the mobile acquisition mix, marketers need more than clicks and impressions to understand whether their campaigns are actually driving app growth. ChatGPT Ads introduces a new acquisition surface, but measuring its impact requires visibility beyond the initial ad interaction. With Apptrove , marketers can now bring ChatGPT Ads into their attribution workflow and connect advertising activity with the app outcomes that matter — from installs and in-app events to revenue and post-install behaviour. This gives marketing teams a clearer way to understand where users come from, what they do after installation, and how ChatGPT Ads contributes to overall app performance. What Is ChatGPT Ads Attribution? ChatGPT Ads Attribution connects advertising activity on ChatGPT with measurable app outcomes. Instead of stopping at impressions or clicks, marketers can follow the user journey further — from an ad interaction to an app install a...
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Personally Identifiable Information Examples: Types, Digital PII and Global Privacy Rules

Personally identifiable information (PII) is information that can identify a person, either on its own or when combined with other information that can be linked to them. A name, phone number, email address, and government ID are obvious examples. But PII can also include information that looks purely technical, such as an IP address, advertising identifier , device identifier, or precise location, depending on the context and the rules that apply. That distinction matters more than ever. A modern business may never store a customer’s passport number, yet still handle large amounts of information that can be connected to a real person through an app account, device, location history, or online activity. For mobile businesses in particular, understanding what counts as personal data means looking beyond the obvious fields. It means examining how data is collected, combined, shared, and used across the entire customer journey. What Is Personally Identifiable Inf...
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The Growth Shift That Took Pi42 From Installs to Trades with Apptrove

For Pi42, an increase in the number of installations on its app didn’t always translate to business success. In an industry characterized by fast-paced innovations and regulations, the main issue has become understanding which users would go beyond signing up for the service and completing the KYC process to deposit funds, trade, and create real value. As the company’s network of affiliates expanded, Pi42 faced another complicated question: which traffic can be considered reliable? The answer was not to focus on the amount of traffic but to get deeper into understanding user behavior, traffic sources, and partners. Using Apptrove, Pi42 was able to implement attribution, deep links, event tracking, and layered traffic verification into the company’s system. This shift of focus made it possible for Pi42 to go beyond measuring the results of installations and start understanding what happened after the installations. Affiliate contribution grew from 0% to 20% of overall vo...
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How to Track App Uninstalls Using Silent Push Notifications in Apptrove?

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Apptrove utilizes a method known as silent push notifications to determine when a user uninstalls an app from their device, since this mechanism operates in the background and does not show a notification to the user; thus, it is possible to monitor the uninstall process without interfering with the user’s app experience. When sending silent push notifications , Apptrove expects the SDK of the app to acknowledge receipt of the notification. If the app fails to respond in the defined period, the platform determines that the user uninstalled the app. Subsequently, the uninstall is registered in Apptrove and assigned to a specific source or campaign. How Silent Push Notifications-Based Uninstall Tracking Works The process of uninstalling an app via silent push notifications can be explained in a few steps: 1. Apptrove sends a silent push notifications to the user’s device. 2. The app’s SDK receives the silent push notification. 3. If the app does not acknowledge ...
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Cracking the Code: How to Benchmark and Boost App Opt-In Rates

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Opt-in rate tells you how many users agreed to a permission request. That’s useful. But it doesn’t tell you why they agreed, whether they’ll ever engage with what they consented to, or whether that consent contributes anything meaningful to your growth metrics. Those questions matter considerably more than the percentage itself. For mobile apps, push notification opt-in and ATT opt-in are the two consent metrics that come up most often. They’re different, they behave differently across platforms, and they require different measurement approaches. Getting them confused, or conflating them into one “consent number,” leads to decisions built on incomplete information. This page covers what opt-in rates actually measure, how to calculate them correctly, what the 2026 benchmarks look like by industry and platform, and what actually moves the needle when you want to improve them. What Is an Opt-In Rate? An opt-in rate is the percentage ...
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What 2.55 Billion Attribution Events Reveal About Mobile Ad Fraud in 2026

Fraud doesn’t always look fraudulent. A suspiciously fast install could be fraudulent traffic. It could also be a legitimate user completing a well-optimised journey. A low rejection rate could indicate better traffic — or simply reflect a different way of measuring it. So, how do you know what the data is really telling you? The answer lies in context. Apptrove analysed 2.55 billion attribution events across a three-month observation period to understand how rejected traffic behaves, where mobile ad fraud in 2026 concentrates, and what marketers should look for when evaluating traffic quality. 7.48% of installs were rejected 7.5× more Android SDK spoofing volume than iOS 47.71% rejection rate for sub-10-second installs 59.5% blended rejection rate across six high-rejection partners What Does the Data Reveal About Mobile Ad Fraud in 2026? Mobile ad fraud isn’t distributed evenly, and neither are the signals used to detect i...
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