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How does the Apptrove attribution model assign credit for installs and conversions?

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Marketers use Apptrove’s attribution model to find out which advertisement, campaign or partner contributed to specific app installs or to events that occur within an app. When accurately keyed in, Apptrove grants marketers the insight that allows for evaluating campaign performance, better budget allocation and making more informed targeting decisions. This article describes how the attribution model functions in Apptrove, as well as the key elements of install and event tracking. Use of The Attribution Model To Attribute Installs Apptrove’s last-touch attribution model allows for attribution of the most recent qualifying user interaction with your app (i.e. install/ event ) within a specified attribution window. When users interact with the ad in the form of a click, Apptrove captures the data related to that click. Captured click information includes device-level and campaign attributes. The attribution function processes these interactions in anticipation of being used to attrib...
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Cross-Channel Marketing: 7 Ways App Teams Turn Touchpoints Into Growth

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Mobile marketing has become a much more complicated form of communication for brands looking to connect with their target audience. App marketing teams are now launching campaigns, from paid advertising to social media and everything in between, at the same time these campaigns are launched across multiple marketing channels. According to a Gartner study, 80% of the leading marketers said they have a lack of visibility into what marketing channels work together during the customer journey. Their inability to link marketing activity and performance with understanding leads to wasted budget, misattribution, and unfulfilled revenue opportunities. This is where cross-channel marketing comes in. Cross-channel marketing brings all of your marketing activities together to create one cohesive and measurable system of understanding. When you begin to combine the channels you use to communicate with customers rather than analyzing each individually, you start to see how the different channels ...
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How to Complete SDK Integration in Apptrove for Accurate Mobile App Tracking?

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To accurately monitor installs, in-app events, revenue, and campaign activity in your mobile application, you need SDK integration. Apptrove provides developers with a comprehensive SDK integration process that connects an app with analytic tools, re-engagement tracking, fraud detection, and ad network attribution. This documentation outlines the entire workflow for integrating SDKs through Apptrove, including finding your SDK key, configuring advanced settings, and activating SDK signing for security. What is SDK Integration? An SDK (Software Development Kit) allows you to add tracking capabilities to your iOS, Android, Unity, or React Native Application with Apptrove. After successful completion of SDK integration, you can track installs, record in-app events, attribute revenue, measure re-engagement campaigns, and apply fraud detection. All applications that are registered in Apptrove will be provided with a unique SDK key for successful integration. Step 1: Navigate to...
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New on Apptrove: .NET MAUI SDK Built for Secure, Scalable App Measurement

We’re excited to share that Apptrove now supports .NET MAUI. For teams building modern mobile apps across Android and iOS, this update makes it easier to measure user journeys without changing how your product is built. If your app is powered by .NET MAUI, you can now integrate Apptrove natively and track installs, events, and revenue with the same consistency and reliability you expect from the .NET ecosystem. This release is especially relevant for fintech, e-commerce, and gaming apps, where clean data flows, secure frameworks, and stable performance are essential, not optional. Why .NET MAUI Works Well for Modern, High-Trust Apps .NET MAUI is Microsoft’s cross-platform framework for building native mobile apps using a single shared codebase. Apps built with MAUI typically rely on C#, the broader .NET framework, and XAML for UI design, combining strong typing with a clear separation of logic and interface. These languages and tools are often preferred by teams that value struct...
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VTR (View-through rate)

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An essential metric for digital advertising is view-through rate (VTR), which gauges how much an ad captures the viewer’s attention (i.e., was it viewed). View-through rates are most relevant to video advertising when advertisers seek to know if an advertisement was delivered but not whether it was watched; therefore, view-through rates are critical indicators of ad quality due to the high number of impressions that can be created, with very few impressions receiving a user’s attention. Simply put, VTR is a ratio of video views to ad impressions; therefore, view-through rates are particularly beneficial when measuring brand awareness, reach, and top-of-funnel campaigns where there may be little or no clicks as the key performance metric (KPI). The VTR meaning  The actual meaning is the percentage of video views out of the total number of ad impressions. In contrast to click-through metrics, VTR measures passive engagement; therefore, VTR is commonly used to measure how well an ...
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Programmatic Advertising in 2026: The Smart Marketer’s Guide to Scalable, Data-Driven Growth

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What is Programmatic Advertising The definition of Programmatic Advertising has changed; it started as an efficient way to get digital impressions, and now it is an outcomes-oriented ecosystem built on real-time decision making, data, and machine learning. When Programmatic Advertising began, the primary goal was efficiency (such as automated bidding, lower touch time, and increased reach). Now, efficiency is just the baseline. According to Statista, global programmatic digital display ad spending is projected to reach over $725 billion by 2026 , reflecting how central automated and intelligence-driven buying has become to modern media strategy. In 2026, automation will be insufficient. Advertisers are working in a privacy-based world where there is a significant drop in signals, where third-party cookies are being removed from the market, and where users are being tracked to a lesser degree than before. The cookieless world isn’t a forecasted future; it’s the world you now work in...
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