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When Machine Zone’s Mobile Strike hit the App Store and quickly shot into the top grossing games on iOS and Android, it felt like it came out of nowhere. Today, Mobile Strike nets its creators around $700,000 per day and ranks as the #1 top grossing app in six different countries.
Considering how fickle users supposedly are when it comes to mobile game adoption, we can safely write this off as simply an Arnold Schwarzenegger-assisted miracle, right?
But Mobile Strike didn’t come out of nowhere. For months before its official launch, its developers were studying how people reacted to the game and what got them most engaged. They were constantly analyzing and tweaking, testing out different monetization strategies, nailing down its unit economics. And you could have been a guinea pig in this test—but only if you lived in Australia.
This article is an excerpt from the first volume of The Product Analytics Playbook: Mastering Retention. Retention is the one metric that matters for sustainable growth. The Playbook is a comprehensive guide to understanding user retention that provides a novel framework for analyzing retention at every stage of the user journey. You can find other excerpts from the Playbook here.
“Retain or die” is a commonly repeated mantra here at Amplitude and is gathering momentum throughout the tech industry as a whole.
We’ve spent a lot of time talking about what retention is and why it’s important–but before diving into the various strategies and tactics that can improve the metric, we have to first take a step back and think of retention in the context of how users use your product. This comes in two parts.
- Understanding your critical event.
- Determining your product’s usage interval.
A few weeks ago, we talked about how understanding your product usage starts first with defining your app’s critical event. Your critical event is the one meaningful action you want users to perform in order to be counted as truly “active” or “retained.” This could be submitting an order, sending a message, or starting a new game. The important thing is that this action is at the core of your app’s product experience; it differentiates users who just “show up” from those who actually derive value from your app. (Check out our post on critical events for more details).
Just as important as defining your critical event is determining how often people do it. Today, we’ll be talking about your product’s usage interval, or how often you expect people to use your product, and why it matters for your retention metric.
In many ways, 2016 has been the year of the bot. With so many successful companies — Slack, Facebook, Microsoft, Google — at the forefront of the chat bot revolution, some have even wondered if this was the beginning of the end for apps as we know it.
We surveyed over 150 individuals who work at software companies in product management, engineering, C-suite, and marketing roles to ask them how they use (or are planning to use) bots for their application.
The results are clear. The media might be playing up chat bots right now but many folks aren’t quite convinced of their value.
Today we’re excited to share our September Datamonster of the Month story.
The Amplitude Datamonster of the Month series is our way of spotlighting product and growth experts who have made data a central part of their success. Through their stories, we hope to empower other industry professionals with proven analytics strategies and advice for leveraging analytics across their organizations.
We select our Datamonsters based on the impact they have at their respective companies. This ranges from how these individuals enable their entire organization to be data-informed to how they leverage analytics to make meaningful product and marketing decisions.
This month I sat down with our September Datamonster Siqi Chen, Sr. Director of Product at Postmates.