Data Analytics

Executive Summary of a Complete Guide on Predictive LTV modeling

Guide on Predictive LTV Modeling

AppsFlyer together with AppAgent and Incipia has published a comprehensive guide on predictive LTV modeling which is a must-read for mobile marketers, UA managers and marketing analysts. We interviewed top experts from companies such as Rovio, Hutch Games, Wargaming, Joom, Wolt, Blinkist, Kiwi.com and Boombit to provide a comprehensive view on how LTV modeling differs for various business models.   What you…

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VIDEO: Building Mobile Marketing Analytics Step-by-Step

Listen AppAgent’s Marketing Analyst Martin and Data Analyst Vítek talk about building mobile marketing analytics step-by-step. During their livestream on the Mobile Marketing Experts Facebook group they recently talked why they have decided to build our own marketing analyst stack instead of buying it. You will also see how they build it, step by step, which additional tools they picked and why, how we…

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Mobile analytics setup for a data-driven soft launch

Mobile analytics for soft launch

The soft launch of a mobile app is all about collecting data. But what happens if you’re a CMO, mobile marketer or a product marketing manager at a mobile startup unfamiliar with the necessary tracking and technicalities of data collection? Don’t worry. This practical guide describes in detail which product and marketing analytics you need to have in place before you acquire…

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The 3 essential pillars of mobile analytics

mobile-apps-minimum-viable-analytics-tools

It’s clear today that you can’t grow a mobile business without proper analytics. But what does “proper analytics” mean? Startup founders and product managers often don’t have the skills and knowledge required to build – or buy – a proper marketing analytics setup. Lack of competence in this key area often leads to the team being trapped with a poor analytics infrastructure,…

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Cracking the complexity of Lifetime Value in freemium games

Three weeks ago I attended the PGC Helsinki conference where I’ve represented AppAgent in a panel discussion about “LTV for mobile apps” organised by Mika Levo from Pollen VC. The topic is incredibly complicated, and it proved impossible to discuss everything in just 20 minutes. To provide a complete perspective on LTV, I’ve decided to produce this blog outlining what I’ve learned…

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3 major mobile analytics trends for 2017

During my time at the App Promotion Summit in Berlin it became clear that a pattern is emerging in mobile analytics. Data now impacts every single decision – from strategy to product to marketing. It may be essential, but many companies struggle to deal with scattered data sources; the task of translating these raw numbers into actionable insights; or the challenge of…

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5 most common mistakes of data analysts

Did you know that there are 1,736,111 Likes on Instagram; 284,722 shared snaps on Snapchat; and 590,278 swipes on Tinder every minute of every day? The growth in the usage of mobile apps and games has created a mountain of data. Millions of users generate significant traces of their behaviour – all of which has value. Crunching the numbers are the legions…

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