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Testing, measuring and
        metrics
     Soren Harner, Bigcommerce
About me
2012 VP Engineering                   Stage 2 Startup
                                      Venture-backed
                                      $35MM


                                      Stage 1 Startup
2010 Founder & Datavore
                                      Bookstrapped




2007 VP Engineering                   Stage 2 Startup




                                      Stage 2 Startup
2000 Search & Analytics,              Stage 3 Acquisition
 Director Engineering                 Venture-backed > $80MM
Business Metrics
•   Cost to acquire customers (CAC)
•   Average Revenue per User (ARPU)
•   Churn
    •   Avoidable & unavoidable
•   Conversion (CVN)
    •   Compare Search, Display, Radio,
        etc.
•   Life time value (LTV)
    •   LTV = ARPU/Churn
    •   LTV / CAC > 1 is success!
•   Monthly Recurring Revenue (MRR)
LTV / CAC
1.2
                                                                              Model
                                                                              “successful”
0.9


0.6


0.3


 0
 Q1-10   Q2-10      Q3-10     Q4-10      Q1-11     Q2-11      Q3-11     Q4-11



      To IPO range is maybe 4 to 6 LTV / CAC today
                 Fine print: Like all metrics use to track, not as strategy
Split Testing Website
• Persona analysis and customer interviews
  on new brand
• Of new traffic, 50% old, 50% new
• Measure effect on conversion: looked at
  new trials after 50/50 coming from old and
  new to determine lift with 95% confidence
  interval of 20-30%
Product UX Testing


Workshops         Concepting                     Qualitative   Quantitative
                                 Prototypes
(personas)        (sketches)                      (Axure)       (Loop11)




             You can use an iPad at a Cafe and show keynote.
               Key point is to test mockups on people first.
Continuous Delivery

• Feature flag everything and gently deploy
• Weekly deploys (should be daily)
• Read 12factor.net (dev, staging, production)
• Monitor (i.e. NewRelic)
• Practice BDD & continuous integration
Ask permission, get feedback
Product Metrics
•   Customer success                   TTL        TTFS


    •   Time to first sale   Aug


    •   Time to launch      July


•   Trend monthly or        June
    weekly cohorts
                            May
•   Engagement score
    during trial                   0    25   50    75    100
Feature KPI
•   Before you build a             •   e.g. completing task
    feature, define a success           more quickly
    KPI
                               •   Add instrumentation
    •   e.g. Number of             before and after
        product reviews
        completed              •   Deploy to subset of
                                   customers to test
    •   e.g. 30% fewer
        abandoned carts        •   Consider Mixpanel
Startup Friendly Stack
•   Use Ruby Sinatra (or Clojure) +
    CoffeeScript + Backbone + Handlebars
    on Heroku


•   Nesta for CMS and learn textmate,
    Haml & Sass, see https://github.com/
    sharner/Workshop-Site


•   HTML5 mobile first, responsive design


•   Use Mailchimp & google forms


•   Log events to understand customer
    success (see Heroku Plugins)
Peopleware
•   Technical co-founder
    challenges

•   Don’t offshore

•   Don’t churn people

•   Find designer who codes
    frontend and does user
    testing

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SaaS and Product Metrics

  • 1. Testing, measuring and metrics Soren Harner, Bigcommerce
  • 2. About me 2012 VP Engineering Stage 2 Startup Venture-backed $35MM Stage 1 Startup 2010 Founder & Datavore Bookstrapped 2007 VP Engineering Stage 2 Startup Stage 2 Startup 2000 Search & Analytics, Stage 3 Acquisition Director Engineering Venture-backed > $80MM
  • 3. Business Metrics • Cost to acquire customers (CAC) • Average Revenue per User (ARPU) • Churn • Avoidable & unavoidable • Conversion (CVN) • Compare Search, Display, Radio, etc. • Life time value (LTV) • LTV = ARPU/Churn • LTV / CAC > 1 is success! • Monthly Recurring Revenue (MRR)
  • 4. LTV / CAC 1.2 Model “successful” 0.9 0.6 0.3 0 Q1-10 Q2-10 Q3-10 Q4-10 Q1-11 Q2-11 Q3-11 Q4-11 To IPO range is maybe 4 to 6 LTV / CAC today Fine print: Like all metrics use to track, not as strategy
  • 5.
  • 6. Split Testing Website • Persona analysis and customer interviews on new brand • Of new traffic, 50% old, 50% new • Measure effect on conversion: looked at new trials after 50/50 coming from old and new to determine lift with 95% confidence interval of 20-30%
  • 7. Product UX Testing Workshops Concepting Qualitative Quantitative Prototypes (personas) (sketches) (Axure) (Loop11) You can use an iPad at a Cafe and show keynote. Key point is to test mockups on people first.
  • 8. Continuous Delivery • Feature flag everything and gently deploy • Weekly deploys (should be daily) • Read 12factor.net (dev, staging, production) • Monitor (i.e. NewRelic) • Practice BDD & continuous integration
  • 10. Product Metrics • Customer success TTL TTFS • Time to first sale Aug • Time to launch July • Trend monthly or June weekly cohorts May • Engagement score during trial 0 25 50 75 100
  • 11. Feature KPI • Before you build a • e.g. completing task feature, define a success more quickly KPI • Add instrumentation • e.g. Number of before and after product reviews completed • Deploy to subset of customers to test • e.g. 30% fewer abandoned carts • Consider Mixpanel
  • 12. Startup Friendly Stack • Use Ruby Sinatra (or Clojure) + CoffeeScript + Backbone + Handlebars on Heroku • Nesta for CMS and learn textmate, Haml & Sass, see https://github.com/ sharner/Workshop-Site • HTML5 mobile first, responsive design • Use Mailchimp & google forms • Log events to understand customer success (see Heroku Plugins)
  • 13. Peopleware • Technical co-founder challenges • Don’t offshore • Don’t churn people • Find designer who codes frontend and does user testing

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