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ACTIONABLE METRICS HOW TO MEASURE WHAT MATTERS BEFORE PRODUCT/MARKET FIT ASH MAURYA @ashmaurya http://www.ashmaurya.com
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Actionable metrics

Apr 16, 2017

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Ash Maurya
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Page 1: Actionable metrics

ACTIONABLE METRICSHOW TO MEASURE WHAT

MATTERS BEFORE PRODUCT/MARKET FIT

ASH MAURYA@ashmaurya

http://www.ashmaurya.com

Page 2: Actionable metrics

What is an Actionable Metric?

Page 3: Actionable metrics

Ties specific, repeatable actions to observed results

Page 4: Actionable metrics

Vanity Metrics

Page 5: Actionable metrics

Customer Discovery(Problem/Solution Fit)

Customer Validation(Product/Market Fit)

Customer Creation(Scale)

3 Stages of a Lean Startup

Page 6: Actionable metrics

How You Measure Matters

Page 7: Actionable metrics

3 Rules for Actionable Metrics

1. Measure the “Right” Macro2. Create Simple Reports3. Metrics are People too

Page 8: Actionable metrics

3 Rules for Actionable Metrics

1. Measure the “Right” Macro2. Create Simple Reports3. Metrics are People too

Page 9: Actionable metrics

Identify Key Metrics

Acquisition

Activation

Retention

Revenue

Referral

How do users find you?

Do users have a great first experience?

Do users come back?

How do you make money?

Do users tell others?

Page 10: Actionable metrics

Identify Key Metrics

Acquisition

Activation

Retention

Revenue

Referral

How do users find you?

Do users have a great first experience?

Do users come back?

How do you make money?

Do users tell others?

Before Product/Market Fit

Page 11: Actionable metrics

Map Metrics to Actions

Page 12: Actionable metrics

Activation Actions

Signup Download Share Stuff Tell Friends

Page 13: Actionable metrics

Retention Actions

1. Revisits2. Churn - cancellations, no activity3. Loyalty - days since last visit4. Key Activity - Shared 1 new album/movie per month

Page 14: Actionable metrics

3 Rules for Actionable Metrics

1. Measure the “Right” Macro2. Create Simple Reports3. Metrics are People too

Page 15: Actionable metrics

Funnel Analysis - The Good

Conversion Funnel for June

1. Simple2. Visual3. Maps well to Activation Flow

Signed-up 4200 (100%)

Downloaded 3400 (81%)

Did key activity 1880 (45%)

Purchased 375 (9%)

Page 16: Actionable metrics

Funnel Analysis - The Bad

How do you:1. Track long lifecycle events

Conversion Funnel for June

Signed-up 4200 (100%)

Downloaded 3400 (81%)

Did key activity 1880 (45%)

Purchased 375 (9%)

Page 17: Actionable metrics

Funnel Analysis - The Bad

How do you:1. Track long lifecycle events2. Handle split tests

Conversion Funnel for June

Signed-up 4200 (100%)

Downloaded 3400 (81%)

Did key activity 1880 (45%)

Purchased 375 (9%)

Page 18: Actionable metrics

Funnel Analysis - The Bad

How do you:1. Track long lifecycle events2. Handle split tests3. Measure Retention

Conversion Funnel for June

Signed-up 4200 (100%)

Downloaded 3400 (81%)

Did key activity 1880 (45%)

Purchased 375 (9%)

Page 19: Actionable metrics

Funnels Alone Are Not Enough.Say Hello to the Cohort.

Page 20: Actionable metrics

What is Cohort Analysis

A cohort is a group of people who share a common characteristic over a period of time e.g. join date.

Page 21: Actionable metrics

Conversion Funnel for June

Signed-up 4200 (100%)

Downloaded 3400 (81%)

Did key activity 1880 (45%)

Purchased 375 (9%)

Tracking Long Lifecycle Events

Page 22: Actionable metrics

Tracking Long Lifecycle Events

Week 1 Cohort Week 2 Cohort Week 3 Cohort

Signed-up 1000 (100%)

Downloaded 800 (80%)

Did key activity 500 (50%)

Purchased 100 (10%)

Signed-up 900 (100%)

Downloaded 750 (83%)

Did key activity 380 (42%)

Purchased 95 (11%)

Signed-up 1100 (100%)

Downloaded 900 (81%)

Did key activity 650 (60%)

Purchased 180 (16%)

Week 4 Cohort

Signed-up 1200 (100%)

Downloaded 950 (80%)

Did key activity 350 (30%)

Purchased 0 (0 %)

Reporting Period: June 1 - June 30 2010

Page 23: Actionable metrics

Tracking Split Tests

Control - Free Trial Hypothesis A - Freemium

Signed-up 1500 (100%)

Downloaded 1200 (80%)

Did key activity 450 (30%)

Purchased 75 (5%)

Signed-up 1000 (100%)

Downloaded 800 (80%)

Did key activity 400 (40%)

Purchased 100 (10%)

Reporting Period: June 1 - June 30 2010

Page 24: Actionable metrics

Tracking Split Tests

SEO Cohort: “Photo Sharing” SEO Cohort: “Cloud Photo Backup”

Signed-up 1500 (100%)

Downloaded 1200 (80%)

Did key activity 750 (50%)

Purchased 225 (15%)

Signed-up 1000 (100%)

Downloaded 800 (80%)

Did key activity 400 (40%)

Purchased 100 (10%)

Reporting Period: June 1 - June 30 2010

Page 25: Actionable metrics

Tracking Retention

Month 1 Month 2 Month 3 Month 4 Month 5 Month 6 Month 7

(Joined in)Week 1 100% 10% 9% 9% 7% 7% 7%

Week 2 100% 12% 10% 10% 8% 7% ?

Week 3 100% 16% 14% 13% 12% ?

Week 4 100% 17% 15% 14% ?

Week 5 100% 20% 19% ?

Week 6 100% 22% ?

… … … … … … … …

Page 26: Actionable metrics

3 Rules for Actionable Metrics

1. Measure the “Right” Macro2. Create Simple Reports3. Metrics are People too

Page 27: Actionable metrics

Validate Qualitatively, Verify Quantitatively

Page 28: Actionable metrics

Who are these people?

Cohort - Free Trial

Signed-up 1000 (100%)

Downloaded 800 (80%)

Did key activity 400 (40%)

Purchased 100 (10%)

Reporting Period: June 1 - June 30 2010

Page 30: Actionable metrics

How do I create these reports?

Page 31: Actionable metrics

3rd Party Tools versus Homegrown

3rd PartyFunnel

AnalysisRetention Cohorts

FunnelCohorts

Metrics to People

KISSMetrics Ad-hoc No No Not easy

MixPanel Static Yes No Not easy

Google Analytics

Static/Limited No No No

Page 32: Actionable metrics

3rd Party Tools versus Homegrown

3rd PartyFunnel

AnalysisRetention Cohorts

FunnelCohorts

Metrics to People

KISSMetrics Ad-hoc No No Not easy

MixPanel Static Yes No Not easy

Google Analytics

Static/Limited No No No

Homegrown Comments

Index Cards Manual and time consuming process

SQL + Excel Complex queries and pivot tables

Events Database Separate database plus additional code

Page 33: Actionable metrics

What’s Next?

Acquisition

Activation

Retention

Revenue

Referral

How do users find you?

Do users have a great first experience?

Do users come back?

How do you make money?

Do users tell others?

After Product/Market Fit