Post by account_disabled on Jan 23, 2024 9:48:27 GMT
This is also called a mobile growth stack. I learned this from Andy Carvell . Before that, however, it is worth looking at what kind of process precedes the application of the framework. App Marketing Basics Suppose you are given a task: Gábor: your task is to ensure that a mobile app has as many paid users as possible. How would you start it? Not exactly in this form, but something like that was said when I first met István, the founder of . Depending on who comes from where, there are quite a few answers to this question.
You can say that the direction is paid advertising, content Industry Email List marketing, PR, App Store Optimization ASO, let's touch on pricing, do AB tests, cohort analyses, calculate lifetime value LTV. And at least more ideas could come here. We probably wouldn't go wrong with any of them, all of them can be fantasy. But which one do we start with? Which one makes sense? Which one doesn't have one? What do we expect from which one? Although we have answered the first question, the many possible answers only raise more questions. The framework I use, on the other hand, helps to give an understandable answer to these questions on a strategic level.
However, before we dive into the framework itself, let's take a look at what you should know about the app. Let's examine whether: What does the funnel look like? What are the main metrics that should be tracked? What is OMTM, or one metric that matters? How do users behave, how much do they pay? What is onboarding like? What is the user flow like? In addition to these, of course, many other questions can be asked, but it is definitely useful to clarify these as a start in the case of an app. We say it's worth seeing that isn't really an app. The app is only the implementation form of the product. is actually software packaged in the form of an app.
You can say that the direction is paid advertising, content Industry Email List marketing, PR, App Store Optimization ASO, let's touch on pricing, do AB tests, cohort analyses, calculate lifetime value LTV. And at least more ideas could come here. We probably wouldn't go wrong with any of them, all of them can be fantasy. But which one do we start with? Which one makes sense? Which one doesn't have one? What do we expect from which one? Although we have answered the first question, the many possible answers only raise more questions. The framework I use, on the other hand, helps to give an understandable answer to these questions on a strategic level.
However, before we dive into the framework itself, let's take a look at what you should know about the app. Let's examine whether: What does the funnel look like? What are the main metrics that should be tracked? What is OMTM, or one metric that matters? How do users behave, how much do they pay? What is onboarding like? What is the user flow like? In addition to these, of course, many other questions can be asked, but it is definitely useful to clarify these as a start in the case of an app. We say it's worth seeing that isn't really an app. The app is only the implementation form of the product. is actually software packaged in the form of an app.