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ACTIONABLE METRICS
      HOW TO MEASURE WHAT
MATTERS BEFORE PRODUCT/MARKET FIT




             ASH MAURYA
                 @ashmaurya
         http://www.ashmaurya.com
What is an Actionable Metric?
Ties specific, repeatable actions to
         observed results
Vanity Metrics
3 Stages of a Lean Startup


    Customer Discovery       Customer Validation    Customer Creation
   (Problem/Solution Fit)    (Product/Market Fit)        (Scale)
How You Measure Matters
3 Rules for Actionable Metrics




   1. Measure the “Right” Macro
   2. Create Simple Reports
   3. Metrics are People too
3 Rules for Actionable Metrics




   1. Measure the “Right” Macro
   2. Create Simple Reports
   3. Metrics are People too
Identify Key Metrics


       Acquisition                   How do users find you?


        Activation     Do users have a great first experience?


        Retention                       Do users come back?

        Revenue                   How do you make money?

         Referral                       Do users tell others?
Identify Key Metrics


       Acquisition                   How do users find you?


        Activation     Do users have a great first experience?


        Retention                       Do users come back?

        Revenue                   How do you make money?

         Referral                       Do users tell others?



                         Before Product/Market Fit
Map Metrics to Actions
Activation Actions




 Signup    Download   Share Stuff   Tell Friends
Retention Actions




   1. Revisits
   2. Churn - cancellations, no activity
   3. Loyalty - days since last visit
   4. Key Activity - Shared 1 new album/movie per month
3 Rules for Actionable Metrics




   1. Measure the “Right” Macro
   2. Create Simple Reports
   3. Metrics are People too
Funnel Analysis - The Good


 Conversion Funnel for June

          Signed-up
         4200 (100%)          1. Simple
         Downloaded           2.Visual
         3400 (81%)
                              3. Maps well to Activation Flow
        Did key activity
         1880 (45%)

          Purchased
           375 (9%)
Funnel Analysis - The Bad


 Conversion Funnel for June

          Signed-up
         4200 (100%)
                              How do you:
         Downloaded
                              1. Track long lifecycle events
         3400 (81%)

        Did key activity
         1880 (45%)

          Purchased
           375 (9%)
Funnel Analysis - The Bad


 Conversion Funnel for June

          Signed-up
         4200 (100%)
                              How do you:
         Downloaded
                              1. Track long lifecycle events
         3400 (81%)
                              2. Handle split tests
        Did key activity
         1880 (45%)

          Purchased
           375 (9%)
Funnel Analysis - The Bad


 Conversion Funnel for June

          Signed-up
         4200 (100%)
                              How do you:
         Downloaded
                              1. Track long lifecycle events
         3400 (81%)
                              2. Handle split tests
        Did key activity
         1880 (45%)           3. Measure Retention
          Purchased
           375 (9%)
Funnels Alone Are Not Enough.
   Say Hello to the Cohort.
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.
Tracking Long Lifecycle Events


 Conversion Funnel for June

          Signed-up
         4200 (100%)

         Downloaded
         3400 (81%)

        Did key activity
         1880 (45%)

          Purchased
           375 (9%)
Tracking Long Lifecycle Events

Reporting Period: June 1 - June 30 2010



 Week 1 Cohort             Week 2 Cohort         Week 3 Cohort        Week 4 Cohort
       Signed-up                Signed-up            Signed-up            Signed-up
      900 (100%)               1000 (100%)          1100 (100%)          1200 (100%)

     Downloaded                Downloaded           Downloaded           Downloaded
      750 (83%)                 800 (80%)            900 (81%)            950 (80%)

    Did key activity          Did key activity     Did key activity     Did key activity
      380 (42%)                 500 (50%)            650 (60%)            350 (30%)

      Purchased                 Purchased            Purchased            Purchased
       95 (11%)                 100 (10%)            180 (16%)             0 (0 %)
Tracking Split Tests

Reporting Period: June 1 - June 30 2010


               Control - Free Trial       Hypothesis A - Freemium
                     Signed-up                   Signed-up
                    1000 (100%)                 1500 (100%)

                   Downloaded                   Downloaded
                    800 (80%)                   1200 (80%)

                  Did key activity             Did key activity
                    400 (40%)                    450 (30%)

                     Purchased                   Purchased
                     100 (10%)                    75 (5%)
Tracking Split Tests

Reporting Period: June 1 - June 30 2010


            SEO Cohort: “Photo Sharing”   SEO Cohort: “Cloud Photo Backup”
                     Signed-up                       Signed-up
                    1000 (100%)                     1500 (100%)

                   Downloaded                       Downloaded
                    800 (80%)                       1200 (80%)

                  Did key activity                 Did key activity
                    400 (40%)                        750 (50%)

                     Purchased                       Purchased
                     100 (10%)                       225 (15%)
Tracking Retention

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

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

   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%         ?


      …            …         …         …         …         …         …         …
3 Rules for Actionable Metrics




   1. Measure the “Right” Macro
   2. Create Simple Reports
   3. Metrics are People too
Validate Qualitatively,Verify Quantitatively
Who are these people?

  Reporting Period: June 1 - June 30 2010

          Cohort - Free Trial
               Signed-up
              1000 (100%)

              Downloaded
               800 (80%)

             Did key activity
               400 (40%)

               Purchased
               100 (10%)
Who are these people?

  Reporting Period: June 1 - June 30 2010

          Cohort - Free Trial
               Signed-up
              1000 (100%)
                                             Failed Downloads List
              Downloaded
               800 (80%)                    Email

             Did key activity               john.doe@example.com
               400 (40%)
                                            peter@abc.com
               Purchased
               100 (10%)
                                            mary.jane@example.com

                                            mark@acme.com

                                            …

                                            jack_jill@hill.com
How do I create these
     reports?
3rd Party Tools versus Homegrown
                       Funnel     Retention    Funnel   Metrics to
          3rd Party
                       Analysis   Cohorts     Cohorts    People

         KISSMetrics   Ad-hoc        No         No      Not easy


          MixPanel      Static      Yes         No      Not easy

          Google        Static/
                                     No         No         No
          Analytics    Limited
3rd Party Tools versus Homegrown
                       Funnel       Retention      Funnel     Metrics to
          3rd Party
                       Analysis     Cohorts       Cohorts      People

         KISSMetrics   Ad-hoc          No           No         Not easy


          MixPanel      Static         Yes          No         Not easy

          Google        Static/
                                       No           No            No
          Analytics    Limited




             Homegrown                          Comments


             Index Cards           Manual and time consuming process


             SQL + Excel            Complex queries and pivot tables


           Events Database        Separate database plus additional code
What’s Next?


      Acquisition                 How do users find you?


       Activation   Do users have a great first experience?


       Retention                     Do users come back?

       Revenue                 How do you make money?

        Referral                     Do users tell others?



                      After Product/Market Fit

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Actionable metrics

  • 1. ACTIONABLE METRICS HOW TO MEASURE WHAT MATTERS BEFORE PRODUCT/MARKET FIT ASH MAURYA @ashmaurya http://www.ashmaurya.com
  • 2. What is an Actionable Metric?
  • 3. Ties specific, repeatable actions to observed results
  • 5. 3 Stages of a Lean Startup Customer Discovery Customer Validation Customer Creation (Problem/Solution Fit) (Product/Market Fit) (Scale)
  • 6. How You Measure Matters
  • 7. 3 Rules for Actionable Metrics 1. Measure the “Right” Macro 2. Create Simple Reports 3. Metrics are People too
  • 8. 3 Rules for Actionable Metrics 1. Measure the “Right” Macro 2. Create Simple Reports 3. Metrics are People too
  • 9. Identify Key Metrics Acquisition How do users find you? Activation Do users have a great first experience? Retention Do users come back? Revenue How do you make money? Referral Do users tell others?
  • 10. Identify Key Metrics Acquisition How do users find you? Activation Do users have a great first experience? Retention Do users come back? Revenue How do you make money? Referral Do users tell others? Before Product/Market Fit
  • 11. Map Metrics to Actions
  • 12. Activation Actions Signup Download Share Stuff Tell Friends
  • 13. Retention Actions 1. Revisits 2. Churn - cancellations, no activity 3. Loyalty - days since last visit 4. Key Activity - Shared 1 new album/movie per month
  • 14. 3 Rules for Actionable Metrics 1. Measure the “Right” Macro 2. Create Simple Reports 3. Metrics are People too
  • 15. Funnel Analysis - The Good Conversion Funnel for June Signed-up 4200 (100%) 1. Simple Downloaded 2.Visual 3400 (81%) 3. Maps well to Activation Flow Did key activity 1880 (45%) Purchased 375 (9%)
  • 16. Funnel Analysis - The Bad Conversion Funnel for June Signed-up 4200 (100%) How do you: Downloaded 1. Track long lifecycle events 3400 (81%) Did key activity 1880 (45%) Purchased 375 (9%)
  • 17. Funnel Analysis - The Bad Conversion Funnel for June Signed-up 4200 (100%) How do you: Downloaded 1. Track long lifecycle events 3400 (81%) 2. Handle split tests Did key activity 1880 (45%) Purchased 375 (9%)
  • 18. Funnel Analysis - The Bad Conversion Funnel for June Signed-up 4200 (100%) How do you: Downloaded 1. Track long lifecycle events 3400 (81%) 2. Handle split tests Did key activity 1880 (45%) 3. Measure Retention Purchased 375 (9%)
  • 19. Funnels Alone Are Not Enough. Say Hello to the Cohort.
  • 20. 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.
  • 21. Tracking Long Lifecycle Events Conversion Funnel for June Signed-up 4200 (100%) Downloaded 3400 (81%) Did key activity 1880 (45%) Purchased 375 (9%)
  • 22. Tracking Long Lifecycle Events Reporting Period: June 1 - June 30 2010 Week 1 Cohort Week 2 Cohort Week 3 Cohort Week 4 Cohort Signed-up Signed-up Signed-up Signed-up 900 (100%) 1000 (100%) 1100 (100%) 1200 (100%) Downloaded Downloaded Downloaded Downloaded 750 (83%) 800 (80%) 900 (81%) 950 (80%) Did key activity Did key activity Did key activity Did key activity 380 (42%) 500 (50%) 650 (60%) 350 (30%) Purchased Purchased Purchased Purchased 95 (11%) 100 (10%) 180 (16%) 0 (0 %)
  • 23. Tracking Split Tests Reporting Period: June 1 - June 30 2010 Control - Free Trial Hypothesis A - Freemium Signed-up Signed-up 1000 (100%) 1500 (100%) Downloaded Downloaded 800 (80%) 1200 (80%) Did key activity Did key activity 400 (40%) 450 (30%) Purchased Purchased 100 (10%) 75 (5%)
  • 24. Tracking Split Tests Reporting Period: June 1 - June 30 2010 SEO Cohort: “Photo Sharing” SEO Cohort: “Cloud Photo Backup” Signed-up Signed-up 1000 (100%) 1500 (100%) Downloaded Downloaded 800 (80%) 1200 (80%) Did key activity Did key activity 400 (40%) 750 (50%) Purchased Purchased 100 (10%) 225 (15%)
  • 25. Tracking Retention Month 1 Month 2 Month 3 Month 4 Month 5 Month 6 Month 7 (Joined in) 100% 10% 9% 9% 7% 7% 7% Week 1 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% ? … … … … … … … …
  • 26. 3 Rules for Actionable Metrics 1. Measure the “Right” Macro 2. Create Simple Reports 3. Metrics are People too
  • 28. Who are these people? Reporting Period: June 1 - June 30 2010 Cohort - Free Trial Signed-up 1000 (100%) Downloaded 800 (80%) Did key activity 400 (40%) Purchased 100 (10%)
  • 29. Who are these people? Reporting Period: June 1 - June 30 2010 Cohort - Free Trial Signed-up 1000 (100%) Failed Downloads List Downloaded 800 (80%) Email Did key activity john.doe@example.com 400 (40%) peter@abc.com Purchased 100 (10%) mary.jane@example.com mark@acme.com … jack_jill@hill.com
  • 30. How do I create these reports?
  • 31. 3rd Party Tools versus Homegrown Funnel Retention Funnel Metrics to 3rd Party Analysis Cohorts Cohorts People KISSMetrics Ad-hoc No No Not easy MixPanel Static Yes No Not easy Google Static/ No No No Analytics Limited
  • 32. 3rd Party Tools versus Homegrown Funnel Retention Funnel Metrics to 3rd Party Analysis Cohorts Cohorts People KISSMetrics Ad-hoc No No Not easy MixPanel Static Yes No Not easy Google Static/ No No No Analytics Limited Homegrown Comments Index Cards Manual and time consuming process SQL + Excel Complex queries and pivot tables Events Database Separate database plus additional code
  • 33. What’s Next? Acquisition How do users find you? Activation Do users have a great first experience? Retention Do users come back? Revenue How do you make money? Referral Do users tell others? After Product/Market Fit