data-driven growth at startups

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Data-driven growth at startups Hyper Island, Sep 1 2015 Lisa Enckell, @enckelli

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Page 1: Data-driven growth at startups

Data-driven growth at startups

Hyper Island, Sep 1 2015 Lisa Enckell, @enckelli

Page 2: Data-driven growth at startups
Page 3: Data-driven growth at startups

Focus groups Surveys Sampling “Gut feel”

Market research is nothing new

Real user behavior

Page 4: Data-driven growth at startups

Three ways marketers use data at startups

Page 5: Data-driven growth at startups

What’s good for the business

1. Keeping track

vs What makes us look good

Page 6: Data-driven growth at startups

Weekly health check

1. Keeping track

Page 7: Data-driven growth at startups

Spot early trends and stay curious!

1. Keeping track

Page 8: Data-driven growth at startups

Product features  Emails and notifications Marketing campaigns and channels

2. Performing experiments

Page 9: Data-driven growth at startups

3. Automating user communication

On-boarding Retention (decrease churn) Up-sell/engagement

Page 10: Data-driven growth at startups

3. Automating user communication

Trigger/sender Automatic Manual

App to user Welcome emails Receipts

Campaigns Product updates

User to user Anniversaries Birthdays

In-app messages Invites to non-users

Page 11: Data-driven growth at startups

Who should do the work?

Page 12: Data-driven growth at startups

Data in the organization

1. Make it accessible and available for everyone!

Page 13: Data-driven growth at startups

Data in the organization

2. Everyone should and could be data-drivenNew features and A/B-tests (product manager/developers)Conversions (product manager/marketer)Response times (back-end)KPIs and trends (marketing/leadership)Campaigns and acquisition (marketing)User insights (marketing/support/product)Notifications and emails (marketing)Recruiting time (HR/leadership)Sales cycles, up-sell and on-boarding time (sales)

Page 14: Data-driven growth at startups

Viral growth

Page 15: Data-driven growth at startups

Sign up Share

The viral loop

Page 16: Data-driven growth at startups

Sign up Share

See

Desire to share

The viral loop

Page 17: Data-driven growth at startups

Sign up Share

See

Desire to share

On-ramp

The viral loop

Page 18: Data-driven growth at startups

Sign up Share

See

Desire to share

On-ramp

Branching factor

The viral loop

Page 19: Data-driven growth at startups

Viral factor K = I・C

Invites I Conversion rate C Cycle time p

Given that I get a new customer today, how many new customers will they bring in over the next p days?

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0 5 10 15 20

0

50

100

150

200

K = 1.2

K = 1.1

K = 0.5

For different values of viral factor K

Users

Weeks

Page 21: Data-driven growth at startups

0 5 10 15 20

0

100

200

300

400

500

p = 0.5

p = 1

p = 2

For different lengths of cycle time

Users

Weeks

Page 22: Data-driven growth at startups

Maximize viral factor K = IC

Maximize no of invites I Maximize conversion rate C

Minimize cycle time p

In summary:

Page 23: Data-driven growth at startups

Sign up to redeem

Give gift card

Receive gift card

See birthday

Wrapp’s viral loop

Page 24: Data-driven growth at startups

Sign up to redeem

Give gift card

Receive gift card

(expires in 30 days)

See birthday

Featured by retailers

Every day is someone’s

birthday

Wrapp’s viral loop

Page 25: Data-driven growth at startups

Win-win-win

Why people share

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Thank you!

Lisa Enckell, @enckelli