SlideShare una empresa de Scribd logo
1 de 36
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

Más contenido relacionado

Destacado

Lean Analytics for Intrapreneurs (Lean Startup Conf 2013)
Lean Analytics for Intrapreneurs (Lean Startup Conf 2013)Lean Analytics for Intrapreneurs (Lean Startup Conf 2013)
Lean Analytics for Intrapreneurs (Lean Startup Conf 2013)Lean Analytics
 
Slides from New Media Manitoba Lean Analytics workshop, June 2015
Slides from New Media Manitoba Lean Analytics workshop, June 2015Slides from New Media Manitoba Lean Analytics workshop, June 2015
Slides from New Media Manitoba Lean Analytics workshop, June 2015Lean Analytics
 
Lean Analytics @ MicroConf
Lean Analytics @ MicroConfLean Analytics @ MicroConf
Lean Analytics @ MicroConfLean Analytics
 
Melbourne Business School - mba talk october 14 - croll - 40m - lean analytics
Melbourne Business School - mba talk october 14 - croll - 40m - lean analyticsMelbourne Business School - mba talk october 14 - croll - 40m - lean analytics
Melbourne Business School - mba talk october 14 - croll - 40m - lean analyticsLean Analytics
 
Lean Analytics for Startups and Enterprises
Lean Analytics for Startups and EnterprisesLean Analytics for Startups and Enterprises
Lean Analytics for Startups and EnterprisesLean Analytics
 
Lean Analytics workshop for Dublin City University, April 2014
Lean Analytics workshop for Dublin City University, April 2014Lean Analytics workshop for Dublin City University, April 2014
Lean Analytics workshop for Dublin City University, April 2014Lean Analytics
 
Lean Analytics workshop (from Lean Startup Conf)
Lean Analytics workshop (from Lean Startup Conf)Lean Analytics workshop (from Lean Startup Conf)
Lean Analytics workshop (from Lean Startup Conf)Lean Analytics
 
Lean analytics from Web A Quebec mars 2014
Lean analytics from Web A Quebec mars 2014Lean analytics from Web A Quebec mars 2014
Lean analytics from Web A Quebec mars 2014Lean Analytics
 

Destacado (8)

Lean Analytics for Intrapreneurs (Lean Startup Conf 2013)
Lean Analytics for Intrapreneurs (Lean Startup Conf 2013)Lean Analytics for Intrapreneurs (Lean Startup Conf 2013)
Lean Analytics for Intrapreneurs (Lean Startup Conf 2013)
 
Slides from New Media Manitoba Lean Analytics workshop, June 2015
Slides from New Media Manitoba Lean Analytics workshop, June 2015Slides from New Media Manitoba Lean Analytics workshop, June 2015
Slides from New Media Manitoba Lean Analytics workshop, June 2015
 
Lean Analytics @ MicroConf
Lean Analytics @ MicroConfLean Analytics @ MicroConf
Lean Analytics @ MicroConf
 
Melbourne Business School - mba talk october 14 - croll - 40m - lean analytics
Melbourne Business School - mba talk october 14 - croll - 40m - lean analyticsMelbourne Business School - mba talk october 14 - croll - 40m - lean analytics
Melbourne Business School - mba talk october 14 - croll - 40m - lean analytics
 
Lean Analytics for Startups and Enterprises
Lean Analytics for Startups and EnterprisesLean Analytics for Startups and Enterprises
Lean Analytics for Startups and Enterprises
 
Lean Analytics workshop for Dublin City University, April 2014
Lean Analytics workshop for Dublin City University, April 2014Lean Analytics workshop for Dublin City University, April 2014
Lean Analytics workshop for Dublin City University, April 2014
 
Lean Analytics workshop (from Lean Startup Conf)
Lean Analytics workshop (from Lean Startup Conf)Lean Analytics workshop (from Lean Startup Conf)
Lean Analytics workshop (from Lean Startup Conf)
 
Lean analytics from Web A Quebec mars 2014
Lean analytics from Web A Quebec mars 2014Lean analytics from Web A Quebec mars 2014
Lean analytics from Web A Quebec mars 2014
 

Más de Lean Analytics

Slides for the day-long Lean Analytics workshop at the 2014 Lean Startup conf...
Slides for the day-long Lean Analytics workshop at the 2014 Lean Startup conf...Slides for the day-long Lean Analytics workshop at the 2014 Lean Startup conf...
Slides for the day-long Lean Analytics workshop at the 2014 Lean Startup conf...Lean Analytics
 
Lean Analytics and Local Government - Alistair Croll - Code for America
Lean Analytics and Local Government - Alistair Croll - Code for AmericaLean Analytics and Local Government - Alistair Croll - Code for America
Lean Analytics and Local Government - Alistair Croll - Code for AmericaLean Analytics
 
Big data tokyo (extended version)
Big data tokyo  (extended version)Big data tokyo  (extended version)
Big data tokyo (extended version)Lean Analytics
 
Making Sense of the Numbers (Lean Analytics)
Making Sense of the Numbers (Lean Analytics)Making Sense of the Numbers (Lean Analytics)
Making Sense of the Numbers (Lean Analytics)Lean Analytics
 
7 Myths of Lean and How Analytics Can Help
7 Myths of Lean and How Analytics Can Help7 Myths of Lean and How Analytics Can Help
7 Myths of Lean and How Analytics Can HelpLean Analytics
 
Introduction to Lean Analytics webinar (O'Reilly)
Introduction to Lean Analytics webinar (O'Reilly)Introduction to Lean Analytics webinar (O'Reilly)
Introduction to Lean Analytics webinar (O'Reilly)Lean Analytics
 
Lean Startup Machine Montreal
Lean Startup Machine MontrealLean Startup Machine Montreal
Lean Startup Machine MontrealLean Analytics
 

Más de Lean Analytics (7)

Slides for the day-long Lean Analytics workshop at the 2014 Lean Startup conf...
Slides for the day-long Lean Analytics workshop at the 2014 Lean Startup conf...Slides for the day-long Lean Analytics workshop at the 2014 Lean Startup conf...
Slides for the day-long Lean Analytics workshop at the 2014 Lean Startup conf...
 
Lean Analytics and Local Government - Alistair Croll - Code for America
Lean Analytics and Local Government - Alistair Croll - Code for AmericaLean Analytics and Local Government - Alistair Croll - Code for America
Lean Analytics and Local Government - Alistair Croll - Code for America
 
Big data tokyo (extended version)
Big data tokyo  (extended version)Big data tokyo  (extended version)
Big data tokyo (extended version)
 
Making Sense of the Numbers (Lean Analytics)
Making Sense of the Numbers (Lean Analytics)Making Sense of the Numbers (Lean Analytics)
Making Sense of the Numbers (Lean Analytics)
 
7 Myths of Lean and How Analytics Can Help
7 Myths of Lean and How Analytics Can Help7 Myths of Lean and How Analytics Can Help
7 Myths of Lean and How Analytics Can Help
 
Introduction to Lean Analytics webinar (O'Reilly)
Introduction to Lean Analytics webinar (O'Reilly)Introduction to Lean Analytics webinar (O'Reilly)
Introduction to Lean Analytics webinar (O'Reilly)
 
Lean Startup Machine Montreal
Lean Startup Machine MontrealLean Startup Machine Montreal
Lean Startup Machine Montreal
 

Último

8447779800, Low rate Call girls in Kotla Mubarakpur Delhi NCR
8447779800, Low rate Call girls in Kotla Mubarakpur Delhi NCR8447779800, Low rate Call girls in Kotla Mubarakpur Delhi NCR
8447779800, Low rate Call girls in Kotla Mubarakpur Delhi NCRashishs7044
 
MAHA Global and IPR: Do Actions Speak Louder Than Words?
MAHA Global and IPR: Do Actions Speak Louder Than Words?MAHA Global and IPR: Do Actions Speak Louder Than Words?
MAHA Global and IPR: Do Actions Speak Louder Than Words?Olivia Kresic
 
Independent Call Girls Andheri Nightlaila 9967584737
Independent Call Girls Andheri Nightlaila 9967584737Independent Call Girls Andheri Nightlaila 9967584737
Independent Call Girls Andheri Nightlaila 9967584737Riya Pathan
 
Memorándum de Entendimiento (MoU) entre Codelco y SQM
Memorándum de Entendimiento (MoU) entre Codelco y SQMMemorándum de Entendimiento (MoU) entre Codelco y SQM
Memorándum de Entendimiento (MoU) entre Codelco y SQMVoces Mineras
 
Kenya Coconut Production Presentation by Dr. Lalith Perera
Kenya Coconut Production Presentation by Dr. Lalith PereraKenya Coconut Production Presentation by Dr. Lalith Perera
Kenya Coconut Production Presentation by Dr. Lalith Pereraictsugar
 
8447779800, Low rate Call girls in Saket Delhi NCR
8447779800, Low rate Call girls in Saket Delhi NCR8447779800, Low rate Call girls in Saket Delhi NCR
8447779800, Low rate Call girls in Saket Delhi NCRashishs7044
 
PSCC - Capability Statement Presentation
PSCC - Capability Statement PresentationPSCC - Capability Statement Presentation
PSCC - Capability Statement PresentationAnamaria Contreras
 
Traction part 2 - EOS Model JAX Bridges.
Traction part 2 - EOS Model JAX Bridges.Traction part 2 - EOS Model JAX Bridges.
Traction part 2 - EOS Model JAX Bridges.Anamaria Contreras
 
Investment in The Coconut Industry by Nancy Cheruiyot
Investment in The Coconut Industry by Nancy CheruiyotInvestment in The Coconut Industry by Nancy Cheruiyot
Investment in The Coconut Industry by Nancy Cheruiyotictsugar
 
Case study on tata clothing brand zudio in detail
Case study on tata clothing brand zudio in detailCase study on tata clothing brand zudio in detail
Case study on tata clothing brand zudio in detailAriel592675
 
APRIL2024_UKRAINE_xml_0000000000000 .pdf
APRIL2024_UKRAINE_xml_0000000000000 .pdfAPRIL2024_UKRAINE_xml_0000000000000 .pdf
APRIL2024_UKRAINE_xml_0000000000000 .pdfRbc Rbcua
 
8447779800, Low rate Call girls in Rohini Delhi NCR
8447779800, Low rate Call girls in Rohini Delhi NCR8447779800, Low rate Call girls in Rohini Delhi NCR
8447779800, Low rate Call girls in Rohini Delhi NCRashishs7044
 
NewBase 19 April 2024 Energy News issue - 1717 by Khaled Al Awadi.pdf
NewBase  19 April  2024  Energy News issue - 1717 by Khaled Al Awadi.pdfNewBase  19 April  2024  Energy News issue - 1717 by Khaled Al Awadi.pdf
NewBase 19 April 2024 Energy News issue - 1717 by Khaled Al Awadi.pdfKhaled Al Awadi
 
Future Of Sample Report 2024 | Redacted Version
Future Of Sample Report 2024 | Redacted VersionFuture Of Sample Report 2024 | Redacted Version
Future Of Sample Report 2024 | Redacted VersionMintel Group
 
Call US-88OO1O2216 Call Girls In Mahipalpur Female Escort Service
Call US-88OO1O2216 Call Girls In Mahipalpur Female Escort ServiceCall US-88OO1O2216 Call Girls In Mahipalpur Female Escort Service
Call US-88OO1O2216 Call Girls In Mahipalpur Female Escort Servicecallgirls2057
 
Marketplace and Quality Assurance Presentation - Vincent Chirchir
Marketplace and Quality Assurance Presentation - Vincent ChirchirMarketplace and Quality Assurance Presentation - Vincent Chirchir
Marketplace and Quality Assurance Presentation - Vincent Chirchirictsugar
 
Ms Motilal Padampat Sugar Mills vs. State of Uttar Pradesh & Ors. - A Milesto...
Ms Motilal Padampat Sugar Mills vs. State of Uttar Pradesh & Ors. - A Milesto...Ms Motilal Padampat Sugar Mills vs. State of Uttar Pradesh & Ors. - A Milesto...
Ms Motilal Padampat Sugar Mills vs. State of Uttar Pradesh & Ors. - A Milesto...ShrutiBose4
 
Innovation Conference 5th March 2024.pdf
Innovation Conference 5th March 2024.pdfInnovation Conference 5th March 2024.pdf
Innovation Conference 5th March 2024.pdfrichard876048
 
Kenya’s Coconut Value Chain by Gatsby Africa
Kenya’s Coconut Value Chain by Gatsby AfricaKenya’s Coconut Value Chain by Gatsby Africa
Kenya’s Coconut Value Chain by Gatsby Africaictsugar
 

Último (20)

8447779800, Low rate Call girls in Kotla Mubarakpur Delhi NCR
8447779800, Low rate Call girls in Kotla Mubarakpur Delhi NCR8447779800, Low rate Call girls in Kotla Mubarakpur Delhi NCR
8447779800, Low rate Call girls in Kotla Mubarakpur Delhi NCR
 
MAHA Global and IPR: Do Actions Speak Louder Than Words?
MAHA Global and IPR: Do Actions Speak Louder Than Words?MAHA Global and IPR: Do Actions Speak Louder Than Words?
MAHA Global and IPR: Do Actions Speak Louder Than Words?
 
Independent Call Girls Andheri Nightlaila 9967584737
Independent Call Girls Andheri Nightlaila 9967584737Independent Call Girls Andheri Nightlaila 9967584737
Independent Call Girls Andheri Nightlaila 9967584737
 
Memorándum de Entendimiento (MoU) entre Codelco y SQM
Memorándum de Entendimiento (MoU) entre Codelco y SQMMemorándum de Entendimiento (MoU) entre Codelco y SQM
Memorándum de Entendimiento (MoU) entre Codelco y SQM
 
Kenya Coconut Production Presentation by Dr. Lalith Perera
Kenya Coconut Production Presentation by Dr. Lalith PereraKenya Coconut Production Presentation by Dr. Lalith Perera
Kenya Coconut Production Presentation by Dr. Lalith Perera
 
8447779800, Low rate Call girls in Saket Delhi NCR
8447779800, Low rate Call girls in Saket Delhi NCR8447779800, Low rate Call girls in Saket Delhi NCR
8447779800, Low rate Call girls in Saket Delhi NCR
 
PSCC - Capability Statement Presentation
PSCC - Capability Statement PresentationPSCC - Capability Statement Presentation
PSCC - Capability Statement Presentation
 
Japan IT Week 2024 Brochure by 47Billion (English)
Japan IT Week 2024 Brochure by 47Billion (English)Japan IT Week 2024 Brochure by 47Billion (English)
Japan IT Week 2024 Brochure by 47Billion (English)
 
Traction part 2 - EOS Model JAX Bridges.
Traction part 2 - EOS Model JAX Bridges.Traction part 2 - EOS Model JAX Bridges.
Traction part 2 - EOS Model JAX Bridges.
 
Investment in The Coconut Industry by Nancy Cheruiyot
Investment in The Coconut Industry by Nancy CheruiyotInvestment in The Coconut Industry by Nancy Cheruiyot
Investment in The Coconut Industry by Nancy Cheruiyot
 
Case study on tata clothing brand zudio in detail
Case study on tata clothing brand zudio in detailCase study on tata clothing brand zudio in detail
Case study on tata clothing brand zudio in detail
 
APRIL2024_UKRAINE_xml_0000000000000 .pdf
APRIL2024_UKRAINE_xml_0000000000000 .pdfAPRIL2024_UKRAINE_xml_0000000000000 .pdf
APRIL2024_UKRAINE_xml_0000000000000 .pdf
 
8447779800, Low rate Call girls in Rohini Delhi NCR
8447779800, Low rate Call girls in Rohini Delhi NCR8447779800, Low rate Call girls in Rohini Delhi NCR
8447779800, Low rate Call girls in Rohini Delhi NCR
 
NewBase 19 April 2024 Energy News issue - 1717 by Khaled Al Awadi.pdf
NewBase  19 April  2024  Energy News issue - 1717 by Khaled Al Awadi.pdfNewBase  19 April  2024  Energy News issue - 1717 by Khaled Al Awadi.pdf
NewBase 19 April 2024 Energy News issue - 1717 by Khaled Al Awadi.pdf
 
Future Of Sample Report 2024 | Redacted Version
Future Of Sample Report 2024 | Redacted VersionFuture Of Sample Report 2024 | Redacted Version
Future Of Sample Report 2024 | Redacted Version
 
Call US-88OO1O2216 Call Girls In Mahipalpur Female Escort Service
Call US-88OO1O2216 Call Girls In Mahipalpur Female Escort ServiceCall US-88OO1O2216 Call Girls In Mahipalpur Female Escort Service
Call US-88OO1O2216 Call Girls In Mahipalpur Female Escort Service
 
Marketplace and Quality Assurance Presentation - Vincent Chirchir
Marketplace and Quality Assurance Presentation - Vincent ChirchirMarketplace and Quality Assurance Presentation - Vincent Chirchir
Marketplace and Quality Assurance Presentation - Vincent Chirchir
 
Ms Motilal Padampat Sugar Mills vs. State of Uttar Pradesh & Ors. - A Milesto...
Ms Motilal Padampat Sugar Mills vs. State of Uttar Pradesh & Ors. - A Milesto...Ms Motilal Padampat Sugar Mills vs. State of Uttar Pradesh & Ors. - A Milesto...
Ms Motilal Padampat Sugar Mills vs. State of Uttar Pradesh & Ors. - A Milesto...
 
Innovation Conference 5th March 2024.pdf
Innovation Conference 5th March 2024.pdfInnovation Conference 5th March 2024.pdf
Innovation Conference 5th March 2024.pdf
 
Kenya’s Coconut Value Chain by Gatsby Africa
Kenya’s Coconut Value Chain by Gatsby AfricaKenya’s Coconut Value Chain by Gatsby Africa
Kenya’s Coconut Value Chain by Gatsby Africa
 

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