Apptrove

Data clean rooms provided marketers with something that seemed out of reach at one time; a method to partner up with someone using data while not giving away valuable customer information. Nevertheless, as regulations about privacy get tighter and user IDs disappear, a clean room is no longer enough. Instead, marketing teams require a tech infrastructure called DCP, which stands for Data Collaboration Platform, which would allow them to use the data for creating audiences and the technology to activate the audiences. This change is already happening. According to the IAB and BWG Strategy 2024 report, 66% of data and advertising professionals are using data clean rooms in the US. But what comes next, and how does DCP change the way of working? At Apptrove , we help mobile marketers with their measurement every day. In this guide, you will find the definition of what a DCP is, how it is different from a data clean room, and how to choose the one you need. What Is a DCP? Underst...

Here’s something nobody talks about enough: Your best-performing campaign might not be doing anything. Not because the creative is bad. Not because the targeting is off. But because the users it’s “converting” were going to convert anyway. They’d already decided. Your ad just happened to be there when they finally clicked through. That’s the marketing incrementality problem. And if you’re running mobile campaigns purely on last-click attribution, you’re almost certainly paying for conversions you didn’t cause. What Actually Is Incrementality in Marketing? Incremental marketing is the measure of genuine, additional impact your marketing creates. Not reported conversions. Not attributed installs. Actual conversions that happened because of your campaign and wouldn’t have happened without it. Think about it this way. Say your campaign reports 1,000 installs this month. Looks great. But 400 of...

It is easy to get someone to install your app. The difficult part is a day later, when that guy decides whether to put your app on his home screen. App engagement is a term that refers to the frequency of use and the degree of engagement after your app has been installed, and it also determines whether your acquisition investment generates revenue or goes down the drain. Depending on the study and the industry, the cost of a new customer ranges from 5 to 25 times the cost of retaining an existing one, says Harvard Business Review. The reason why an engaged user is a lot more valuable than a fresh install is that gap. This guide provides an understanding of what app engagement is, what metrics to track, how to measure stickiness, and seven approaches to improve engagement rates. On the way, it demonstrates how a mobile measurement partner such as Apptrove provides the mobile app analytics you require to view what’s working. What is App Engagement? App engagement re...

AdzGlobe is a performance marketing company based in Chennai, working with brands, direct advertisers, and agencies in mobile and online advertising. As a performance partner, the team implements campaigns where the attribution and visibility of post-install activities are crucial for campaign performance and results reporting. With various campaigns in progress for both iOS and Android platforms, AdzGlobe required a systematic approach to tracing installs, conversion events, and the sources of traffic behind these events. The company also required campaign data consistent with its in-house tracking technique to have more accurate performance reports. Apptrove became part of the workflow of AdzGlobe’s campaign measurement activities, allowing the company to track the process from installation to conversion. With access to the postback data such as click IDs and source IDs, AdzGlobe gained a deeper understanding of the user journey and tracked the users who did not complete me...

Fast responses feel efficient. Slow ones pay more. Most re-engagement programs are still built around one assumption: the longer a user has been gone, the less they’re worth chasing. But is that true? Does response speed actually predict order value? Does a user gone for 90+ days convert like a lost cause, or like your best customer walking back in? And is the channel getting the budget the channel actually doing the work? Dormancy Is Not Decay, a mobile re-engagement study by Apptrove , analyzes 7,236,129 re-engagement events, 111,775 users, and 29,806 completed purchases to uncover where win-back revenue actually comes from, and how far off recency-based targeting has been. If you’re still capping your win-back windows at 30 days, your program is excluding the majority of your recoverable revenue. Download the report to see how much of your own re-engagement revenue is coming from users you’ve already stopped targeting. Why Download This Re-Engag...

Today’s marketing is not short of data; it is full of disparate data. A smartphone app can produce countless data points throughout the user experience, including updates on shows, interactions, installations, signups, in-app transactions, subscriptions, retaining customers, and losing customers. When CRM databases, ad campaigns, attribution statistics, analytics sources, and partner datasets enter the situation, marketers will find themselves working in isolation on many facets of their consumers’ narrative. That’s why a data-sharing platform helps bring the puzzle pieces together in a controlled environment where teams and organizations can conduct their business with the datasets without the need to move or disclose the initial data. This becomes especially relevant in light of the growing privacy concerns related to mobile marketing. According to some reports, mobile ads accounted for approximately 59% of total digital ad spending globally, which indicates ho...