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JEFF STEINKE co-founder: Less Meeting | BlueFletch Mobile Consulting 1 jeffsteinke.com @jeff_steinke

Mobile Analytics: Turning unknown downloads into engaged users

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Congrats - you've released your app in the app store! You might've even already hit your first milestone of 1,000 - maybe even 10,000 downloads. But your MAU is a tiny fraction of that. And embarrassingly you don't even know what a MAU is. Time to learn how to use mobile analytics to create engaged users through steps like better on-boarding, lifecycle emails, a/b testing and more.

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Page 1: Mobile Analytics: Turning unknown downloads into engaged users

JEFF STEINKE

co-founder: Less Meeting | BlueFletch Mobile Consulting

1

jeffsteinke.com

@jeff_steinke

Page 2: Mobile Analytics: Turning unknown downloads into engaged users

The Tao of MAU

turning app downloads into engaged users

Page 3: Mobile Analytics: Turning unknown downloads into engaged users

A STARTUP STORY

chapter I

3

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our startup’s monthly active users (MAUs)

Name

This

Chart

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with essentially 0 MAUs a few months prior,

by mid July our startup has reached 420,000 MAUs

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Guess Who

- Growth explosion during the summer of

2011…

- In the music industry…

- Lets users stream music with friends as

virtual DJs…

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VANITY METRICS BAD,

ACTIONABLE METRICS GOOD

chapter II

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Who still wants to give me $1,000,000?

How about $10?

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from The Verge:

“[Turntable.fm] proved to be the kind of thing

that many people used exactly once”

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3 Characteristics of GOOD

Actionable Metrics…(there are more, but this will get you started)

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1. Actionable metrics drive decisions(aka they’re actionable)

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2. Actionable metrics complement design(designers, listen up!)

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Where’d the fun go?

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3. Actionable metrics are

Quantitative AND Qualitative

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CLIMBING THE MOBILE

ANALYTICS MOUNTAIN

chapter III

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1. novice

5. expert

4. proficient

3. competent

2. advanced beginner

DREYFUS MODELof mobile analytics skill acquisition

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1. novice 5. expert4. proficient3. competent2. advanced beginner

Data for data’s sake

Vanity metrics (e.g. how

many app downloads?)

It’s better than nothing…

NOVICE

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1. novice 5. expert4. proficient3. competent2. advanced beginner

Descriptive data

Demographics (e.g. who is downloading my

app, by country, keyword, etc?)

The “Who”

ADVANCED BEGINNER

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1. novice 5. expert4. proficient3. competent2. advanced beginner

Diagnostic data

Event metrics (e.g. what did the user do after

downloading my app?)

The “What”

COMPETENT

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1. novice 5. expert4. proficient3. competent2. advanced beginner

Predictive data

Data Analysis (e.g. which button color led to higher

engagement?)

The “Why”

PROFICIENT

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1. novice 5. expert4. proficient3. competent2. advanced beginner

Prescriptive data

Drives behavior (e.g. how can I proactively get users

to be more engaged?)

The “How”

EXPERT