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KPIs & metrics

    @matteopanfilo
 matteopanfilo@gmail.com



      InnLab TN 2013
About me


What I’ve done until 2012:
I studied economics at LUISS
I wrote a thesis on the VC
I published a research on the VC that has ended up on the IlSole24Ore
I won InnovAction Lab 2011
I went to Silicon Valley
I worked @ Principia SGR (8 of the last investments ≅ 15mln)

What I'm doing since the beginning of 2013
I work @ Boox Venture Incubator
I’m a member of several professional associations promoting entrepreneurship
I continue research activities
I continue to study (a lot)




                                                                           1
Agenda

1. Metrics & KPIs
2. Funnel
3. Cohort analysis
4. Churn rate
5. A/B test
6. Source channels, email/DEM
7. CRM

Conclusion



                                2
Agenda

1. Metrics & KPIs
2. Funnel
3. Cohort analysis
4. Churn rate
5. A/B test
6. Source channels, email/DEM
7. CRM

Conclusion



                                3
1. Different businesses, different metrics

    Airbnb      Number of house with HD pics

Fiendfinder     Viral factor (K)

     Blogo      Pages per user

  6sicuro.it    Generated quotes (lead)

    Privalia    Cost per shoting



                                          4
Hundreds of different metrics

   PV             Page Views
   UV             Unique Visitors
   CPM            Cost per Thousand
   BR             Bounce Rate
   CTR            Click Trough Rate
   CPR            Cost Per Registration
   CPL            Cost Per Lead
   CPA            Cost Per Acquisition (or
                  Cost per Action)
   CPC            Cost Per Click
   LTV            Lifetime Value
   CR             Conversion Rate
   Churn          Churn Rate
                                             5
Scalability (basic formulas)

                        CPA                         <                 LTV
                                                           “LTV is the projected profit that a
                                                           customer will generate during his
                                                                         lifetime”

                          CPC
                                                                Depends on the customer
                                                               satisfaction, CRM, biz model,
                         %CR                                                 etc
  General CPA = $ Adv cost / # Customers acquired
  CPA based on CPM campaign: (CPM x Impressions /1000)/ # Customer acquired
  LTV formulas
  •  LT Revenues: # Purchases x $ Avg. basket
  •  LT Revenues: $ Avg. basket / % Churn rate
  •  LT Gross Profit: # Purchases x $ Avg. basket x % gross profit margin
  •  LT Gross Profit: $ Avg. basket / % Churn rate x % gross profit margin
  •  LT DCF: ($ Avg. basket margin x Life Expectancy) x (Customer retention rate / 1 + discount
     rate – Customer retention rate)
  CPA = Cost Per Acquisition (or Cost per Action), CPC = Cost per Click, LTV = Lifetime Value
  LTV Starbucks: http://blog.kissmetrics.com/wp-content/uploads/2011/08/calculating-ltv.pdf
  LTV Avinash Kaushik: http://www.kaushik.net/avinash/analytics-tip-calculate-ltv-customer-lifetime-value/   6
Scalability (basic formulas)

                        CPA                         <                 LTV
                                                       Small numbers,
                                                       huge impact:
                          CPC
                                                       CPC = 0,4€                    CPC = 0,4€
                         %CR                           %CR = 4%                      %CR = 2,5%

                                                       CPA = 10€                     CPA = 16€




  CPA = Cost Per Acquisition (or Cost per Action), CPC = Cost per Click, LTV = Lifetime Value
  LTV Starbucks: http://blog.kissmetrics.com/wp-content/uploads/2011/08/calculating-ltv.pdf
  LTV Avinash Kaushik: http://www.kaushik.net/avinash/analytics-tip-calculate-ltv-customer-lifetime-value/   7
Scalability, make it happen!




  Note: CAC = CPA
                                                                         8
  Source: David Skok - http://www.forentrepreneurs.com/startup-killer/
Scalability, how you can do it?




  Note: CAC = CPA
                                                                         9
  Source: David Skok - http://www.forentrepreneurs.com/startup-killer/
Conversion
                              CPC
                CPA =
                              %CR

Define what are you looking to measure!
i.e.: define who you consider a customer; define the difference between
CPL and CPA (if there is)



What’s the meaning of conversion rate?
What’s the meaning of funnel?



                                                                      10
The Funnel .. <offline mode>

                    1.  A lot of people see the adv
                        wall

                    2.  Some people recognize it
                        walking in front of a
                        sunglasses shop

                    3.  Some of them decide to go
                        in and try them


                    4.  One of them want to buy it
                                                   11
The Funnel .. <online mode - ie. ecommerce>
                                    1.  I paid to have some users on my
                                        website

                              100   2.  They arrive on the landing page


50%                           50    3.  They leave their email

                                    4.  They put one product in the basket
      40%                     20
                                    5.  They start the checkout process
                               5
            40%
                                    6.  They complete all the payment
                                        info
                               3
                  38%

                                    7.  They pay
                               1
  1%                    33%

                                                                     12
The Funnel .. <online mode - ie. ecommerce>
                                    Some drivers:
            Paid users

                                    •  Pictures
     100    Landing page            •  Copy/text button
                                    •  Info required
     50     Leave the email         •  Password
                                    •  Email confirm

            Product on the basket   •  Add button
     20                             •  Related product
                                    •  Info required
      5     Checkout process        •  Shipping days
                                    •  Delivery cost

      3     Payment info            •  Payment gateway
                                    •  Invoice/legal info
                                    •  CC circuit
      1     They pay
                                    •  PIN request

                                                            13
Why measure the funnel




  You need to identify the bottleneck and solve it!


                 Examples:
                 -  Pictures
                 -  Checkout process
                 -  Payment gateway                   14
The Funnel .. (flash sales ecommerce)
        Unique users               Measure your CPL/CPA!

     Users that complete
                                   The CPA initially refers only to
           the form                the traffic resulting from paid
                                   campaigns is the main KPI to
                                   be monitored in an
      Registered users
                                   ecommerce / SaaS, but in
         Users that
                                   the medium term it should
          arrive till              be monitored along with the
         checkout                  metrics of the traffic that
                         1%-0,5%
                                   came from other channels
           Paying
            users
                                   (email, facebook page,
                                   etc. )


                                                               15
Customer journey
                            Awareness                      Consideration                         Conversion
                                                                                                  Loyalty
                                 Desire                         Information                          Choiche




                                                                                                                    Customers
Users




        Source: IAB Seminar 2013, Ilaria Zampori Managing Director QUISMA, Individual Conversion Attribution   16
        http://www.iabseminar.it/wp-content/uploads/2013/02/9_QUISMA.pdf
Customer journey
                  Awareness                    Consideration                       Conversion
                                                                                    Loyalty
                       Desire                      Information                       Choiche


                     instruments                      instruments                    instruments




Source: IAB Seminar 2013, Marco Caradonna Simple Agency Dynamic Customer Journey                   17
http://www.slideshare.net/mcarado/4-iab-seminar-performance-2013-simple-agency
Agenda

1. Metrics & KPIs
2. Funnel
3. Cohort analysis, measure customer behaviour
4. Churn rate
5. A/B test
6. Source channels, email/DEM
7. CRM

Conclusion



                                            18
Cohort Analysis referral source analysis
             “A cohort is a group of people who share a common
                 characteristic over a certain period of time”
                                   Customer spending by referral source




         Direct                    Facebook                         Google   Blog




                                                                                    19
 Source: www.cohortanalysis.com/
Cohort Analysis time-period analysis
How much revenue do the users that I’ve acquired on the second months
generate?
How many users that I’ve acquired on the second month will I probably still
have on the ninth month?
                                                                             Time period
                               1      2       3       4       5       6             7       8       9       10      11       12
                          1    513   410     328     263     210     168           134     108      86      69      55       44
                          2          923     739     591     473     378           303     242     194     155      124      99
                          3                  1.258   1.007   805     644           515     412     330     264      211      169
                          4                          1.537   1.230   984           787     630     504     403      322      258
                          5                                  1.777   1.421        1.137    910     728     582      466      373
                          6                                          1.987        1.590    1.272   1.017   814      651      521
Time-period cohorts
                          7                                                       2.178    1.742   1.394   1.115    892      714
                          8                                                                2.355   1.884   1.507   1.206     965
                          9                                                                        2.524   2.020   1.616    1.292
                          10                                                                               2.689   2.151    1.721
                          11                                                                                       2.852    2.282
                          12                                                                                                3.017

           paying users        513   1.334   2.325   3.398   4.495   5.583        6.644    7.671   8.661   9.618   10.547   11.454




                                                                                                                                  20
     Source: andrewchenblog.com
Agenda

1. Metrics & KPIs
2. Funnel
3. Cohort analysis
4. Churn rate, do not throw the job done
5. A/B test
6. Source channels, email/DEM
7. CRM

Conclusion



                                           21
Churn Rate
 Your churn rate is the amount of customers or subscribers who cut ties
        with your service or company during given time period.
                     These customers have “churned”

Recurring revenues model                    Traditional Ecommerce
                                           # Customers who has
                                               not made a
  # Subscribers lost                       purchase in 90 days*
                         = % Churn rate                           = % Churn rate
# Starting subscribers                       # Starting active
                                                customers


                                                                     * it depend on
                                                                     business model
                                                                     and offer




                                                                                      22
  Source: www.churn-rate.com
Optimize..
1. Metrics & KPIs
2. Funnel
3. Cohort analysis
4. Churn rate
                                  Analyse 	
  




                     Iterate                         Change
                                  Learning
                                  process




                        Consolidate              Learn

                                                              23
Why you need to optimize..
•  You have 0-8 seconds to make a compelling headline and
   landing page. After 8 seconds, the majority of visitors leave.
•  Approximately 96% of visitors that come to your website are
   not ready to buy.
•  The more landing pages you have, the more leads you are
   likely to get.
•  Product videos can increase purchases of the product by
   144%.
•  A 1 second delay in your site speed can result in a 7%
   reduction in conversions.
•  A/B testing is becoming the preferred method that has
   brought a lot of the companies the most success.


   Source: http://blog.kissmetrics.com/what-converting-websites-do/
                                                                      24
Agenda

1. Metrics & KPIs
2. Funnel
3. Cohort analysis
4. Churn rate
5. A/B test, what do customers prefer?
6. Source channels, email/DEM
7. CRM

Conclusion



                                         25
A/B test…
•  Elaborate 2 different versions (text, colors, font, layout, etc)
•  Propose versions to the target sample (with the same content)
•  Measure conversion rate
•  Profile users based on conversion rates (male/female, addicted, etc)
•  (Visualize where the users click on the pages)

    The same process could be applicable to web pages, email/DEM,
                        games dynamics, etc!




                                                                          26
Headline..
                                                                                  Original




                                                                                 +30%




                                                                                  +15%



 Fonte: http://37signals.com/svn/posts/1525-writing-decisions-headline-tests-on-the-highrise-signup-page
                                                                                                       27
Layout..




           28
Layout..




           29
Layout..




 Is not always a good
 idea to write more…




                        30
A/B test are easy but..
Consider a site that has 10,000 visitors per month and has a 5 percent conversion
rate. The table below shows how long it will take to run a “conclusive” test (95
percent confidence) based on how much the change impacts conversion rate.




    Source: http://techcrunch.com/2013/01/12/current-conversion-rate-and-desired-
    confidence-interval-will-help-you-avoid-analysis-paralysis-stop-running-stupid-tests/   31
Other tips..
•  Badging
   up to +50%

•  Message consistency
   up to +100%

•  International website
   up to +100%

•  Email sign-up
   up to +1.000%
  Fonte: http://www.slideshare.net/Emerce/emerce-performance-bryan-eisenberg
                                                                               32
Agenda

1. Metrics & KPIs
2. Funnel
3. Cohort analysis
4. Churn rate
5. A/B test
6. Source channels, email/DEM
7. CRM

Conclusion



                                33
Email & DEM
Email could become your first traffic source, improve the LTV of your
customers, decrease your customer acquisition cost !

1.  Choose & Optimize email form
2.  Choose & Optimize password request
3.  Choose the confirmation process

4.  Choose emails’ arguments and style
5.  Choose & Optimize email subjects

6.  Metrics, metrics, metrics:             Drivers:
     •  Open rate/Unique OR                Ø  Subject, time
     •  Click rate                         Ø  Content
     •  Click-through-rate                 Ø  Layout
     •  Delivery time                      Ø  All of the above
     •  List growth                        Ø  Too many
     •  Unsubscribe rate (or churn rate)   Ø  Frequency & content
     •  Spam complaint rate                Ø  Too many

                                                                        34
Email & DEM




                                                                                                            35
 Source: http://retail-analytics.quora.com/Email-Open-Click-Through-Analytics-from-over-80-Billion-Emails
Agenda

1. Metrics & KPIs
2. Funnel
3. Cohort analysis
4. Churn rate
5. A/B test
6. Source channels, email/DEM
7. CRM

Conclusion



                                36
Interact with customers…

   People now expect the same—if not
    better— level of service from online
 storefronts and service channels as they
 do from a visit to a retail store or a phone
       conversation with an agent.

     Source: “ E mail Customer Service in North American Small and Medium
     Businesses” by BenchmarkPortal, 2005




                                                                            37
Interact with customers…




 Source: Communication Preference, Live Chat Effectiveness, A Survey of Internet Shoppers 2012
                                                                                                 38
Interact with customers…
                         83% of small and medium-sized
                           businesses responded with
                       inaccurate or incomplete answers.

     41% of consumers expect an e-mail
          response within six hours.
 Only 36% of retailers responded that quickly.




 Source: “Email Customer Service in North American Small and Medium Businesses” by BenchmarkPortal, 2005,
 Source: Forrester Research Inc., 2008                                                             39
Interact with customers…


“Customer experience quality could
 result in a swing of $184 million for a
         large Internet retailer.


      Source: Forrester Research Inc., 2008




                                              40
The power of great video…




 Video: http://www.youtube.com/watch?feature=player_embedded&v=ZUG9qYTJMsI
                                                                             41
Agenda

1. Metrics & KPIs
2. Funnel
3. Cohort analysis
4. Churn rate
5. A/B test
6. Source channels, email/DEM
7. CRM

Conclusion



                                42
Recap & useful tools
1. Metrics, measure and understand your KPIs
2. Funnel, know the steps to improve your conversion
3. Cohort analysis, analyse customer behaviour
4. Churn rate, do not throw the job done
5. A/B test, what do customers prefer?
6. Source channels, email/DEM still a very interesting
channel
7. CRM, interact and learn from your customers


                                  -    Mixpanel
                                  -    Jirafe free
                                  -    Woopra
                                  -    Kissmetrics
                                  -    RJ metric
                                  -    Geckoboard
                                                         43
My 2 cents


Do not think that doing a startup is a game.

Do not think about raising money, but think of creating a
product and to have a vision for the next 10 years.

Read up and study before taking any decisions, there is a
huge amount of information online, just know what to look
for.



                                                            44
My sources
•  Steve blank tools (www.steveblank.com/tools)
•  Avinash Kaushik (www.kaushik.net)
•  Quora (follow Matthew Caroll)
•  Slideshare (xerox, 500startups, etsy)
•  Techcrunch
•  Angel.co
•  Italian Startup Scene
•  Indigeni Digitali
•  Startupnumbers.com ;)

                                                  45
Must read/view:
•  Blog etsy (http://mcfunley.com/)
•  Blog Fabrice Grinda
•  Blog fab.com
•  Blog google
•  Blog a16z.com
•  Foundat.io/n
•  ecorner.stanford.edu
•  avc.com
•  Angel.co


                                      46

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KPIs & Metrics - Innlab TN 2013

  • 1. KPIs & metrics @matteopanfilo matteopanfilo@gmail.com InnLab TN 2013
  • 2. About me What I’ve done until 2012: I studied economics at LUISS I wrote a thesis on the VC I published a research on the VC that has ended up on the IlSole24Ore I won InnovAction Lab 2011 I went to Silicon Valley I worked @ Principia SGR (8 of the last investments ≅ 15mln) What I'm doing since the beginning of 2013 I work @ Boox Venture Incubator I’m a member of several professional associations promoting entrepreneurship I continue research activities I continue to study (a lot) 1
  • 3. Agenda 1. Metrics & KPIs 2. Funnel 3. Cohort analysis 4. Churn rate 5. A/B test 6. Source channels, email/DEM 7. CRM Conclusion 2
  • 4. Agenda 1. Metrics & KPIs 2. Funnel 3. Cohort analysis 4. Churn rate 5. A/B test 6. Source channels, email/DEM 7. CRM Conclusion 3
  • 5. 1. Different businesses, different metrics Airbnb Number of house with HD pics Fiendfinder Viral factor (K) Blogo Pages per user 6sicuro.it Generated quotes (lead) Privalia Cost per shoting 4
  • 6. Hundreds of different metrics PV Page Views UV Unique Visitors CPM Cost per Thousand BR Bounce Rate CTR Click Trough Rate CPR Cost Per Registration CPL Cost Per Lead CPA Cost Per Acquisition (or Cost per Action) CPC Cost Per Click LTV Lifetime Value CR Conversion Rate Churn Churn Rate 5
  • 7. Scalability (basic formulas) CPA < LTV “LTV is the projected profit that a customer will generate during his lifetime” CPC Depends on the customer satisfaction, CRM, biz model, %CR etc General CPA = $ Adv cost / # Customers acquired CPA based on CPM campaign: (CPM x Impressions /1000)/ # Customer acquired LTV formulas •  LT Revenues: # Purchases x $ Avg. basket •  LT Revenues: $ Avg. basket / % Churn rate •  LT Gross Profit: # Purchases x $ Avg. basket x % gross profit margin •  LT Gross Profit: $ Avg. basket / % Churn rate x % gross profit margin •  LT DCF: ($ Avg. basket margin x Life Expectancy) x (Customer retention rate / 1 + discount rate – Customer retention rate) CPA = Cost Per Acquisition (or Cost per Action), CPC = Cost per Click, LTV = Lifetime Value LTV Starbucks: http://blog.kissmetrics.com/wp-content/uploads/2011/08/calculating-ltv.pdf LTV Avinash Kaushik: http://www.kaushik.net/avinash/analytics-tip-calculate-ltv-customer-lifetime-value/ 6
  • 8. Scalability (basic formulas) CPA < LTV Small numbers, huge impact: CPC CPC = 0,4€ CPC = 0,4€ %CR %CR = 4% %CR = 2,5% CPA = 10€ CPA = 16€ CPA = Cost Per Acquisition (or Cost per Action), CPC = Cost per Click, LTV = Lifetime Value LTV Starbucks: http://blog.kissmetrics.com/wp-content/uploads/2011/08/calculating-ltv.pdf LTV Avinash Kaushik: http://www.kaushik.net/avinash/analytics-tip-calculate-ltv-customer-lifetime-value/ 7
  • 9. Scalability, make it happen! Note: CAC = CPA 8 Source: David Skok - http://www.forentrepreneurs.com/startup-killer/
  • 10. Scalability, how you can do it? Note: CAC = CPA 9 Source: David Skok - http://www.forentrepreneurs.com/startup-killer/
  • 11. Conversion CPC CPA = %CR Define what are you looking to measure! i.e.: define who you consider a customer; define the difference between CPL and CPA (if there is) What’s the meaning of conversion rate? What’s the meaning of funnel? 10
  • 12. The Funnel .. <offline mode> 1.  A lot of people see the adv wall 2.  Some people recognize it walking in front of a sunglasses shop 3.  Some of them decide to go in and try them 4.  One of them want to buy it 11
  • 13. The Funnel .. <online mode - ie. ecommerce> 1.  I paid to have some users on my website 100 2.  They arrive on the landing page 50% 50 3.  They leave their email 4.  They put one product in the basket 40% 20 5.  They start the checkout process 5 40% 6.  They complete all the payment info 3 38% 7.  They pay 1 1% 33% 12
  • 14. The Funnel .. <online mode - ie. ecommerce> Some drivers: Paid users •  Pictures 100 Landing page •  Copy/text button •  Info required 50 Leave the email •  Password •  Email confirm Product on the basket •  Add button 20 •  Related product •  Info required 5 Checkout process •  Shipping days •  Delivery cost 3 Payment info •  Payment gateway •  Invoice/legal info •  CC circuit 1 They pay •  PIN request 13
  • 15. Why measure the funnel You need to identify the bottleneck and solve it! Examples: -  Pictures -  Checkout process -  Payment gateway 14
  • 16. The Funnel .. (flash sales ecommerce) Unique users Measure your CPL/CPA! Users that complete The CPA initially refers only to the form the traffic resulting from paid campaigns is the main KPI to be monitored in an Registered users ecommerce / SaaS, but in Users that the medium term it should arrive till be monitored along with the checkout metrics of the traffic that 1%-0,5% came from other channels Paying users (email, facebook page, etc. ) 15
  • 17. Customer journey Awareness Consideration Conversion Loyalty Desire Information Choiche Customers Users Source: IAB Seminar 2013, Ilaria Zampori Managing Director QUISMA, Individual Conversion Attribution 16 http://www.iabseminar.it/wp-content/uploads/2013/02/9_QUISMA.pdf
  • 18. Customer journey Awareness Consideration Conversion Loyalty Desire Information Choiche instruments instruments instruments Source: IAB Seminar 2013, Marco Caradonna Simple Agency Dynamic Customer Journey 17 http://www.slideshare.net/mcarado/4-iab-seminar-performance-2013-simple-agency
  • 19. Agenda 1. Metrics & KPIs 2. Funnel 3. Cohort analysis, measure customer behaviour 4. Churn rate 5. A/B test 6. Source channels, email/DEM 7. CRM Conclusion 18
  • 20. Cohort Analysis referral source analysis “A cohort is a group of people who share a common characteristic over a certain period of time” Customer spending by referral source Direct Facebook Google Blog 19 Source: www.cohortanalysis.com/
  • 21. Cohort Analysis time-period analysis How much revenue do the users that I’ve acquired on the second months generate? How many users that I’ve acquired on the second month will I probably still have on the ninth month? Time period 1 2 3 4 5 6 7 8 9 10 11 12 1 513 410 328 263 210 168 134 108 86 69 55 44 2 923 739 591 473 378 303 242 194 155 124 99 3 1.258 1.007 805 644 515 412 330 264 211 169 4 1.537 1.230 984 787 630 504 403 322 258 5 1.777 1.421 1.137 910 728 582 466 373 6 1.987 1.590 1.272 1.017 814 651 521 Time-period cohorts 7 2.178 1.742 1.394 1.115 892 714 8 2.355 1.884 1.507 1.206 965 9 2.524 2.020 1.616 1.292 10 2.689 2.151 1.721 11 2.852 2.282 12 3.017 paying users 513 1.334 2.325 3.398 4.495 5.583 6.644 7.671 8.661 9.618 10.547 11.454 20 Source: andrewchenblog.com
  • 22. Agenda 1. Metrics & KPIs 2. Funnel 3. Cohort analysis 4. Churn rate, do not throw the job done 5. A/B test 6. Source channels, email/DEM 7. CRM Conclusion 21
  • 23. Churn Rate Your churn rate is the amount of customers or subscribers who cut ties with your service or company during given time period. These customers have “churned” Recurring revenues model Traditional Ecommerce # Customers who has not made a # Subscribers lost purchase in 90 days* = % Churn rate = % Churn rate # Starting subscribers # Starting active customers * it depend on business model and offer 22 Source: www.churn-rate.com
  • 24. Optimize.. 1. Metrics & KPIs 2. Funnel 3. Cohort analysis 4. Churn rate Analyse   Iterate Change Learning process Consolidate Learn 23
  • 25. Why you need to optimize.. •  You have 0-8 seconds to make a compelling headline and landing page. After 8 seconds, the majority of visitors leave. •  Approximately 96% of visitors that come to your website are not ready to buy. •  The more landing pages you have, the more leads you are likely to get. •  Product videos can increase purchases of the product by 144%. •  A 1 second delay in your site speed can result in a 7% reduction in conversions. •  A/B testing is becoming the preferred method that has brought a lot of the companies the most success. Source: http://blog.kissmetrics.com/what-converting-websites-do/ 24
  • 26. Agenda 1. Metrics & KPIs 2. Funnel 3. Cohort analysis 4. Churn rate 5. A/B test, what do customers prefer? 6. Source channels, email/DEM 7. CRM Conclusion 25
  • 27. A/B test… •  Elaborate 2 different versions (text, colors, font, layout, etc) •  Propose versions to the target sample (with the same content) •  Measure conversion rate •  Profile users based on conversion rates (male/female, addicted, etc) •  (Visualize where the users click on the pages) The same process could be applicable to web pages, email/DEM, games dynamics, etc! 26
  • 28. Headline.. Original +30% +15% Fonte: http://37signals.com/svn/posts/1525-writing-decisions-headline-tests-on-the-highrise-signup-page 27
  • 29. Layout.. 28
  • 30. Layout.. 29
  • 31. Layout.. Is not always a good idea to write more… 30
  • 32. A/B test are easy but.. Consider a site that has 10,000 visitors per month and has a 5 percent conversion rate. The table below shows how long it will take to run a “conclusive” test (95 percent confidence) based on how much the change impacts conversion rate. Source: http://techcrunch.com/2013/01/12/current-conversion-rate-and-desired- confidence-interval-will-help-you-avoid-analysis-paralysis-stop-running-stupid-tests/ 31
  • 33. Other tips.. •  Badging up to +50% •  Message consistency up to +100% •  International website up to +100% •  Email sign-up up to +1.000% Fonte: http://www.slideshare.net/Emerce/emerce-performance-bryan-eisenberg 32
  • 34. Agenda 1. Metrics & KPIs 2. Funnel 3. Cohort analysis 4. Churn rate 5. A/B test 6. Source channels, email/DEM 7. CRM Conclusion 33
  • 35. Email & DEM Email could become your first traffic source, improve the LTV of your customers, decrease your customer acquisition cost ! 1.  Choose & Optimize email form 2.  Choose & Optimize password request 3.  Choose the confirmation process 4.  Choose emails’ arguments and style 5.  Choose & Optimize email subjects 6.  Metrics, metrics, metrics: Drivers: •  Open rate/Unique OR Ø  Subject, time •  Click rate Ø  Content •  Click-through-rate Ø  Layout •  Delivery time Ø  All of the above •  List growth Ø  Too many •  Unsubscribe rate (or churn rate) Ø  Frequency & content •  Spam complaint rate Ø  Too many 34
  • 36. Email & DEM 35 Source: http://retail-analytics.quora.com/Email-Open-Click-Through-Analytics-from-over-80-Billion-Emails
  • 37. Agenda 1. Metrics & KPIs 2. Funnel 3. Cohort analysis 4. Churn rate 5. A/B test 6. Source channels, email/DEM 7. CRM Conclusion 36
  • 38. Interact with customers… People now expect the same—if not better— level of service from online storefronts and service channels as they do from a visit to a retail store or a phone conversation with an agent. Source: “ E mail Customer Service in North American Small and Medium Businesses” by BenchmarkPortal, 2005 37
  • 39. Interact with customers… Source: Communication Preference, Live Chat Effectiveness, A Survey of Internet Shoppers 2012 38
  • 40. Interact with customers… 83% of small and medium-sized businesses responded with inaccurate or incomplete answers. 41% of consumers expect an e-mail response within six hours. Only 36% of retailers responded that quickly. Source: “Email Customer Service in North American Small and Medium Businesses” by BenchmarkPortal, 2005, Source: Forrester Research Inc., 2008 39
  • 41. Interact with customers… “Customer experience quality could result in a swing of $184 million for a large Internet retailer. Source: Forrester Research Inc., 2008 40
  • 42. The power of great video… Video: http://www.youtube.com/watch?feature=player_embedded&v=ZUG9qYTJMsI 41
  • 43. Agenda 1. Metrics & KPIs 2. Funnel 3. Cohort analysis 4. Churn rate 5. A/B test 6. Source channels, email/DEM 7. CRM Conclusion 42
  • 44. Recap & useful tools 1. Metrics, measure and understand your KPIs 2. Funnel, know the steps to improve your conversion 3. Cohort analysis, analyse customer behaviour 4. Churn rate, do not throw the job done 5. A/B test, what do customers prefer? 6. Source channels, email/DEM still a very interesting channel 7. CRM, interact and learn from your customers - Mixpanel -  Jirafe free -  Woopra -  Kissmetrics -  RJ metric -  Geckoboard 43
  • 45. My 2 cents Do not think that doing a startup is a game. Do not think about raising money, but think of creating a product and to have a vision for the next 10 years. Read up and study before taking any decisions, there is a huge amount of information online, just know what to look for. 44
  • 46. My sources •  Steve blank tools (www.steveblank.com/tools) •  Avinash Kaushik (www.kaushik.net) •  Quora (follow Matthew Caroll) •  Slideshare (xerox, 500startups, etsy) •  Techcrunch •  Angel.co •  Italian Startup Scene •  Indigeni Digitali •  Startupnumbers.com ;) 45
  • 47. Must read/view: •  Blog etsy (http://mcfunley.com/) •  Blog Fabrice Grinda •  Blog fab.com •  Blog google •  Blog a16z.com •  Foundat.io/n •  ecorner.stanford.edu •  avc.com •  Angel.co 46