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Product manager and game analytics

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Page 1: Product manager and game analytics
Page 2: Product manager and game analytics

How To Get More From Your App Using Data Analysis

Page 3: Product manager and game analytics

Warning signs that tellyou should focus on analytics

1. Your team has no plan of developing your product for the next months.

2. You don't understand why a feature has been added to your product.

3. You plan to add a feature to your product only because you think it's cool.

4. You are not sure about the success of your latest changes in product.

5. You don't know the weak and strong points of your product.

Page 4: Product manager and game analytics

Why do you need to manage changes Users demand more and more + Market is constantly changes= Changing of your product is only way to survive

Why we can't add all features we want? Or why we can't add features in random order?1. Limited resources2. You may discover that your product does not fit to your audience3. Users just can't find the feature they really need

You should research a few things:1. The present and past value of your product metrics2. How many users will be able to use the new feature?3. How the new feature should change your product indicators?4. Is it working like you’ve been expecting?

Page 5: Product manager and game analytics

What tools you should use and how the analytics work1. You you should use more than one tool2. Sooner or later you will need to develop your own analytics system

Page 6: Product manager and game analytics

Definitions of typical metrics:Users conversion rates

User retention

DAU/MAU

ARPU

ARPPU

Percentage of users who pay

LTV

Page 7: Product manager and game analytics

First steps: conversion rates

something wrong%

levels or checkpoints

Conversion rates

1. into active users

2. into engaged users

3. into paid users

Page 8: Product manager and game analytics

User Retention

"Direct/Simple" retention

Day X

Install

VS "Rolling" retention

Day X

Install

Page 9: Product manager and game analytics

Monetization

1. How much currency they have.2. How much currency they earn, and where they do it.3. How much they spend and what they buy?

ARPU = ARPPU * Paying ConversionLTV = ARPUMAU * average number of months a user remains active

GAME PRODUCT

Page 10: Product manager and game analytics

How A/B testing works and how to use it

Why A/B testing1. Traffic depends on day of the week or public holidays2. More than one test at a time

Tips1. Don’t reject the results because of your your gut feeling2. Make changes that can greatly modify user behavior

AB

Page 11: Product manager and game analytics

Common mistakes in data analysis

1. You forgot to сheck the data

2. You forgot to сheck it again

3. Not enough users in a group

4. More than one element at a time

5. Different quality of traffic for testing two variations

6. You forgot to write down all changes in your game in one place

7. Don’t be afraid

Page 12: Product manager and game analytics

What's next in game analytics?

1. Managing the difficulty of a game by managing random events in your game

2. Different ways of working with different users who already pay in your game

3. Managing predictability of users drop off

Page 13: Product manager and game analytics

Beyond the spreadsheet: user experience and your teamTips :

1. Don’t listen to players, listen to data

2. It’s really easy to get information overload

3. You should work on conversion & retention of your game before fixing monetization

4. You should play your game many times before starting to work on conversion & retention

5. You must have confidence in development & analytics team before spend your time for playing your game.