Apptrove

A very high percentage of app teams start a referral program with the assumption that it will run itself. Motivate users to share an invitation link and watch the installs roll in. In reality, this is not the way things go. Teams regularly get confused about which installs are referrals and receive expected rewards for installs that didn’t actually take place, and they don’t have a clean way to prove that the channel is working when they want to cut the budget. While hundreds of brands employ referral programs to get more customers on their sales line, referral fraud exists and is a legitimate and expensive issue: when people take advantage of referral programs to make money and get unfair discounts on products or services. A properly executed referral marketing program may be one of the most cost-effective and trusted methods to app growth . A poorly tracked one simply shifts money from paid ads to reward payouts and has no greater view into what is actually working. ...

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...

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...

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...

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 ...