How to Predict Mobile Marketing Profitability

Looking to improve your game on mobile marketing analytics and ensure your campaigns are turning a profit? Or know how far away from profit they are, and how quickly you should act?

Head to AppsFlyer for the complete guide to predictive modeling and analytics for mobile marketers. The guide covers the following topics in-depth, with actionable takeaways and strategies, specific models, and step-by-step techniques to building profitability models.

 The guide is a collaboration effort between AppAgent, AppsFlyer, and Incipia. Chapters 1 and 3 include content from my presentation at App Growth Summit SF on using Excel trend lines to predict marketing profitability, and chapter 4 includes internal concepts borrowed from time building an in-app ad revenue attribution system.

The 5 chapters cover the following topics:

1. Predictive Modeling: Basic Concepts and Measurement Set-Up

2. Pros and Cons of Different LTV-Based Predictive Models: Insights from Top Marketers

3. Methods for Assessing Mobile Marketing Profitability with Excel

4. Adding Another Piece to the Pie: Predicting In-App Ad LTV

5. Best Practices for Building Mobile Marketing Prediction Models

Bookmark this resource and step up your mobile marketing game, and stay tuned for more content from Incipia.

That’s all for today! Thanks for reading and stay tuned for more posts breaking down mobile marketing concepts.

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Incipia is a mobile marketing consultancy that markets apps for companies, with a specialty in mobile advertising, business intelligence, and ASO. For post topics, feedback or business inquiries please contact us, or send an inquiry to projects@incipia.co