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The Smart App - Analytics Best Practices

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A smartphone is displayed in front of an abstract chart with circular and bar graph elements, featuring grey, orange, and black colors—a visual guide to mobile analytics success.
A smartphone is displayed in front of an abstract chart with circular and bar graph elements, featuring grey, orange, and black colors—a visual guide to mobile analytics success.
A smartphone is displayed in front of an abstract chart with circular and bar graph elements, featuring grey, orange, and black colors—a visual guide to mobile analytics success.

What you'll learn

To be successful in today’s competitive app economy, product development teams have to define success and ROI at the beginning of a project, not at the end of it.

In this book, we cover how and why to use mobile analytics throughout your app development process. We explain how to set measurable objectives and develop insights so you can optimize an app over time. Because the only way to build a successful app is to define success from day one.

The 3 different analytics approaches

Learn the differences between descriptive, predictive, and prescriptive analytics and how you can use each to improve your app’s performance.

Defining and measuring app ROI

Determine what you want your app to achieve — and understand how to measure your app’s performance against those goals.

The mobile app analytics toolkit

Understand the best ways to implement mobile app analytics and learn about many of the top tools to use in your project.

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