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LEAN ANALYTICS
Using data to build a better startup faster




                                      Ben	
  Yoskovitz
                                      @byosko
A little about me…




  Acquihired         Instigator Blog   Exited (but   Big win!
                                       not a real
                                       win)
YEAR ONE LABS


YEAR ONE LABS
Pre-order
   today!
     (please)




http://leananalyticsbook.com
what. why. when. how.
✓what makes a good metric
✓the one metric that matters
✓business model flipbook
✓lean analytics stages
✓problem / solution canvas
✓analytics in the enterprise




 http://leananalyticsbook.com
Case studies galore
WE’RE ALL LIARS
DON’T
 IGNORE
YOUR GUT
Your Gut       Increased
      +        = likelihood of
Lean Analytics   success
PART
ONE

 The basics of
 good analytics.
Analytics is the measurement
of movement towards your
business goals.
In a startup, the purpose of
  analytics is to iterate to
 product/market fit before
    the money runs out.
Five categories of metrics to think about:


     • Qualitative vs. quantitative
     • Vanity vs. actionable
     • Exploratory and reporting
     • Leading vs. lagging
     • Correlated vs. causal
What makes a great metric?


  • Comparative over time, against a baseline
  • Understandable
  • Ratios and rates, not numbers
  • Improves the accuracy of your predictions
  • Your behavior changes when it does
PART
TWO

What metrics
should you track?
What you should track is dependent on:


          Your basic                      The stage your
        business model                     startup is at

        How you make $$                          Lifecycle

    •   E-­‐commerce                      •   Empathy
    •   SaaS                              •   S>ckiness
    •   Free	
  mobile	
  app             •   Virality
    •   Media	
  site                     •   Revenue
    •   Collabora>ve	
  content	
  site   •   Scale
    •   Two-­‐sided	
  marketplace
Example business model: E-commerce



   Quick summary:

   • Are you focused on loyalty or acquisition?
   • Don’t overlook logistics, delays, and ratings
   • Old “average conversion rates”
Loyalty or acquisition?
How many        Then you are in   Your customers      You are                Focus on
customers buy   this mode         will buy from you   just like
a second time
in 90 days?

                                                                              Low CAC,
 1-15%          Acquisition           Once              70%                     high
                                                      of retailers            checkout




15-30%             Hybrid             2-2.5             20%                  Increasing
                                      per year        of retailers             returns



                                                                               Loyalty,
 >30%             Loyalty              >2.5             10%                   inventory
                                      per year        of retailers            expansion



                                                          (Thanks to Kevin Hillstrom for this.)
Don’t forget the real world




                               Shipping time, stock availability,
                               logistics, ratings, and other factors
                               haveShipping time, stock availability,
                                     a real impact on most e-
DON’T FORGET                   commerce companies.and other factors
                                    logistics, ratings,
                                    have a real impact on most e-
THE REAL WORLD                      commerce companies.
Case study:
WineExpress increases revenues

   • Stage: Revenue
   • Model: E-commerce
   • Exclusive wine shop partner of the Wine
     Enthusiast catalog and website.

   • “Wine of the day” page is highly trafficked,
     needed optimization
A
B
WineExpress: Before and After




  41%                increase	
  in	
  revenue	
  
                     per	
  visitor
Lifecycle stage


    Discover a known need within a sizeable market

    Identify a solution reachable people will pay for

    Develop and validate a viable product to sell profitably

    Create a sustainable business model

    Attract and appease investors

    Find a successful exit
Where’s the risk?


       Real need?                            Key: Empathy

       Right solution?
                                               Key: Stickiness




                          Key: Growth rate
       Good product?
                                                 Key: Virality
       Sustainable biz?
                                                Key: Revenue
       Healthy market?

       Successful exit?                          Key: Scale
Case study: Buffer goes from
Stickiness to Scale (through Revenue)

   • Stage: Scale
   • Model: SaaS (consumer)
   • Popular social sharing application.
   • Focused primarily on customer acquisition
   • Charged from day one
Buffer charges early to prove people
want the problem solved
               of visitors create an account
   20%         (acquisition / Empathy)

               of sign-ups become active
   64%         (start of Stickiness)
               of sign-ups return in the 1st month
   60%         (engagement / Stickiness)
               of sign-ups are active after 6 months
   20%         (engagement / Stickiness)
               convert from free to paid
    2%         (Revenue)
PART
THREE

  The One Metric
  That Matters
Choose only one metric.
Benefits of the OMTM:


  • It should answer the most important
    question you have

  • There’s a clear goal
  • Focuses the entire company
  • Instills a culture of experimentation
Case study: Timehop aims for
virality through content sharing

   • Stage: Virality
   • Model: Mobile app
   • Social network around the past
   • Focused on virality (but not the viral
     coefficient)
The One Metric That Matters:
Content sharing

     • Focused on % of daily active
     users that share content

     • Aiming for 20-30% of daily
     active users to share content

   “All that matters now is virality. Everything else—be it
   press, publicity stunts or something else—is like
   pushing a rock up a mountain: it will never scale. But
   being viral will.” - Jonathan Wegener, co-founder
METRICS ARE LIKE
SQUEEZE TOYS
Thank you.
follow me.                                      email me.
                       @byosko


instigatorblog.com
                                  byosko@gmail.com



                     subscribe.             pre-order!


    leananalyticsbook.com

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An introduction to Lean Analytics (for #LeanLondon)

  • 1. LEAN ANALYTICS Using data to build a better startup faster Ben  Yoskovitz @byosko
  • 2. A little about me… Acquihired Instigator Blog Exited (but Big win! not a real win)
  • 4. Pre-order today! (please) http://leananalyticsbook.com
  • 5. what. why. when. how. ✓what makes a good metric ✓the one metric that matters ✓business model flipbook ✓lean analytics stages ✓problem / solution canvas ✓analytics in the enterprise http://leananalyticsbook.com
  • 9. Your Gut Increased + = likelihood of Lean Analytics success
  • 10. PART ONE The basics of good analytics.
  • 11. Analytics is the measurement of movement towards your business goals.
  • 12. In a startup, the purpose of analytics is to iterate to product/market fit before the money runs out.
  • 13. Five categories of metrics to think about: • Qualitative vs. quantitative • Vanity vs. actionable • Exploratory and reporting • Leading vs. lagging • Correlated vs. causal
  • 14. What makes a great metric? • Comparative over time, against a baseline • Understandable • Ratios and rates, not numbers • Improves the accuracy of your predictions • Your behavior changes when it does
  • 16. What you should track is dependent on: Your basic The stage your business model startup is at How you make $$ Lifecycle • E-­‐commerce • Empathy • SaaS • S>ckiness • Free  mobile  app • Virality • Media  site • Revenue • Collabora>ve  content  site • Scale • Two-­‐sided  marketplace
  • 17. Example business model: E-commerce Quick summary: • Are you focused on loyalty or acquisition? • Don’t overlook logistics, delays, and ratings • Old “average conversion rates”
  • 18. Loyalty or acquisition? How many Then you are in Your customers You are Focus on customers buy this mode will buy from you just like a second time in 90 days? Low CAC, 1-15% Acquisition Once 70% high of retailers checkout 15-30% Hybrid 2-2.5 20% Increasing per year of retailers returns Loyalty, >30% Loyalty >2.5 10% inventory per year of retailers expansion (Thanks to Kevin Hillstrom for this.)
  • 19. Don’t forget the real world Shipping time, stock availability, logistics, ratings, and other factors haveShipping time, stock availability, a real impact on most e- DON’T FORGET commerce companies.and other factors logistics, ratings, have a real impact on most e- THE REAL WORLD commerce companies.
  • 20.
  • 21. Case study: WineExpress increases revenues • Stage: Revenue • Model: E-commerce • Exclusive wine shop partner of the Wine Enthusiast catalog and website. • “Wine of the day” page is highly trafficked, needed optimization
  • 22. A
  • 23. B
  • 24. WineExpress: Before and After 41% increase  in  revenue   per  visitor
  • 25. Lifecycle stage Discover a known need within a sizeable market Identify a solution reachable people will pay for Develop and validate a viable product to sell profitably Create a sustainable business model Attract and appease investors Find a successful exit
  • 26. Where’s the risk? Real need? Key: Empathy Right solution? Key: Stickiness Key: Growth rate Good product? Key: Virality Sustainable biz? Key: Revenue Healthy market? Successful exit? Key: Scale
  • 27.
  • 28. Case study: Buffer goes from Stickiness to Scale (through Revenue) • Stage: Scale • Model: SaaS (consumer) • Popular social sharing application. • Focused primarily on customer acquisition • Charged from day one
  • 29. Buffer charges early to prove people want the problem solved of visitors create an account 20% (acquisition / Empathy) of sign-ups become active 64% (start of Stickiness) of sign-ups return in the 1st month 60% (engagement / Stickiness) of sign-ups are active after 6 months 20% (engagement / Stickiness) convert from free to paid 2% (Revenue)
  • 30. PART THREE The One Metric That Matters
  • 31. Choose only one metric.
  • 32. Benefits of the OMTM: • It should answer the most important question you have • There’s a clear goal • Focuses the entire company • Instills a culture of experimentation
  • 33. Case study: Timehop aims for virality through content sharing • Stage: Virality • Model: Mobile app • Social network around the past • Focused on virality (but not the viral coefficient)
  • 34. The One Metric That Matters: Content sharing • Focused on % of daily active users that share content • Aiming for 20-30% of daily active users to share content “All that matters now is virality. Everything else—be it press, publicity stunts or something else—is like pushing a rock up a mountain: it will never scale. But being viral will.” - Jonathan Wegener, co-founder
  • 36. Thank you. follow me. email me. @byosko instigatorblog.com byosko@gmail.com subscribe. pre-order! leananalyticsbook.com