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Data  Analytics:  
because everything
counts
Justo  Hidalgo
@justohidalgo
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Hi!
• Co-­founder,  
– BizDev
– Publisher  Relations
– Investor  Relations
– Data  Analytics
• Background:  Data  Integration  and  
Management,  Product  Strategy  and  
Innovation
• Ph.D.  in  Computer  Science  on  Data  
Integration  and  Web  Automation
• Ergo:  Love  Data  J
• @justohidalgo
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A service to read and discover digital books that
works on any device
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@justohidalgo
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1. Data  analytics models and  their relation to Lean
2. User acquisition.  Metrics,  analysis of  results and  cases
3. User activation.  Metrics,  analysis of  results and  cases
4. User retention.  Metrics,  analysis of  results and  cases
5. Virality and  Referral.  Metrics,  analysis of  results and  cases
6. Revenue.  Metrics,  analysis of  results and  cases
Workshop  Agenda
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Vanity Metrics
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Hooooray!!!  Or  not?
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Typical  vanity  metrics
• Number  of  hits
• Number  of  page  views
• Number  of  visits
• Number  of  unique  visitors
• Number  of  followers/friends/likes
• Time  on  site/number  of  pages
• Emails  collected
• Number  of  downloads
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Cohort Analysis
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Cohort  Analysis
Jan	
  
2015
Feb	
  
2015
Mar	
  
2015
Apr	
  
2015
May	
  
2015
Jun	
  
2015
Jul	
  
2015
Aug	
  
2015
Sep	
  
2015
Oct	
  
2015
Nov	
  
2015
Cohort:	
  
Jan	
  2015
1059 520 265 142 66 33 29 17 8 4 2
Cohort:	
  
Feb	
  2015
1200 760 354 179 89 45 35 24 12 6
Cohort:	
  
Mar	
  
2015
1250 800 230 154 67 66 55 23 12
Cohort:	
  
Apr	
  2015
1210 760 340 156 65 54 45 32
Cohort:	
  
May	
  
2015
1450 1000 750 560 450 345 312
Cohort:	
  
June	
  
2015
1540 1210 1002 890 600 530
Inspiration:  http://christophjanz.blogspot.de/2012/05/know-­your-­user-­cohorts.html
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A/B  Testing
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One  key  question  for  the  whole  
customer  lifecycle
• How  effective  is  a  web  page  compared  to  
another?
– Effective  =  conversion  rate,  usage  rate,  payment  rate,  
…
?
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What’s  A/B  Testing?
Version  A Version  B
Visitors  are  randomly  distributed  
time
1200  new  users 1000  new  users
Version  A  is  better  than  B
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Analytics Models
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AARRR
Acquire Activate Retain Refer Get Revenue
SEO
SEM
Campaigns
Email
Blogs
…
Landing  
Page
Product  
Features
…
Content  
(blogs,  
articles,  
…)
Emails
Alerts
…
Campaigns
Emails
…
Shopping  
cart
Subscriptions
Lead  Gen
…
traffic social business
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What’s  next
• Session  2:  User  acquisition.  Metrics,  analysis  of  results  and  cases
Acquire Activate Retain Refer Get Revenue
SEO
SEM
Campaigns
Email
Blogs
…
Landing  
Page
Product  
Features
…
Content  
(blogs,  
articles,  
…)
Emails
Alerts
…
Campaigns
Emails
…
Shopping  
cart
Subscriptions
Lead  Gen
…
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How do  people find your site?
Acquisition
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Case  in  point
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@justohidalgo
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15  seconds  in  “La  
1”
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Videos work quite fine
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Metrics that Matter
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Metrics
Number  of  visits Distributions  (per  browser,  region,  
…)
Number  of  page  views
Bounce  rate
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What’s  next
• Session  3:  User  activation.  Metrics,  analysis  of  results  and  cases
Acquire Activate Retain Refer Get Revenue
SEO
SEM
Campaigns
Email
Blogs
…
Landing  
Page
Product  
Features
…
Content  
(blogs,  
articles,  
…)
Emails
Alerts
…
Campaigns
Emails
…
Shopping  
cart
Subscriptions
Lead  Gen
…
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How sticky is your site?
AActivation
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Case  in  point
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Survey  tool
qidiq
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Metrics that Matter
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Metrics
40000
45000
50000
55000
60000
65000
70000
75000
80000
85000
Time  per  page
Time  on  site
#  Sign  ins!!! Recency  (time  since  user  did  
something  meaningful)
(and  churn  as  well!!!)
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What’s  next
• Session  4:  User  retention.  Metrics,  analysis  of  results  and  cases
Acquire Activate Retain Refer Get Revenue
SEO
SEM
Campaigns
Email
Blogs
…
Landing  
Page
Product  
Features
…
Content  
(blogs,  
articles,  
…)
Emails
Alerts
…
Campaigns
Emails
…
Shopping  
cart
Subscriptions
Lead  Gen
…
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Why do  users come  back?
AARetention
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6  Hacks
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1.  Weekly  digest  of  app/service  activity
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2.  Activity  notifications  from  within  the  app
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3.  Onboarding  emails
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4.  Product  /  Content  update  newsletters
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5.  Basic  loyalty  program
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6.  Automated  emails  for  inactive  users
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Case  in  Point
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Metrics that Matter
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Number of  unique/returning visitors
Visits over time
Average session time
Metrics.  The  standard  ones…
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D/WAU:  Daily/Weekly  Active  Users
MAU:  Monthly  Active  Users
Stickiness  =
…  engagement…
D/WAU
MAU
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#  Active  readers
#  Books  read  per  user
Pages  read  per  active  
reader  per  month
…  but  also  domain-­specific!!!
Pages  read  per  
paid  user  per  
month
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What’s  next
• Session  5:  User  referral  and  virality.  Metrics,  analysis  of  results  and  
cases
Acquire Activate Retain Refer Get Revenue
SEO
SEM
Campaigns
Email
Blogs
…
Landing  
Page
Product  
Features
…
Content  
(blogs,  
articles,  
…)
Emails
Alerts
…
Campaigns
Emails
…
Shopping  
cart
Subscriptions
Lead  Gen
…
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Do  people talk about your site?
AARReferral
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Case  in  Point
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@justohidalgo
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Metrics that Matter
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Amplification  rate:  
– (#shares,  #RTs,  …)
K-­Factor  =  AR  *  
conversion  rate
– =  1:  steady  state
– >  1:  growth
➤ 1.4  <  x  <  2.1  =>  hot  &  
viral!!!
– <  1:  decline
Virality
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What’s  next
• Session  6:  Revenue.  Metrics,  analysis  of  results  and  cases
Acquire Activate Retain Refer Get Revenue
SEO
SEM
Campaigns
Email
Blogs
…
Landing  
Page
Product  
Features
…
Content  
(blogs,  
articles,  
…)
Emails
Alerts
…
Campaigns
Emails
…
Shopping  
cart
Subscriptions
Lead  Gen
…
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Do  you make money?
AARRRevenue
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Metrics that Matter
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CMRR
LTV
CACR
3  (main)  metrics  for  SaaS
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Churn
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SaaS  =  recurring  revenues
CMRR  =  Committed  Monthly  Recurring  Revenue
– Recurring  +  new  accounts  +  new  upsells  – churn
CMRR
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Lifetime Value =
100%
LTV
Source:  http://blog.kissmetrics.com/how-­to-­calculate-­lifetime-­value/Churn  rate
ARPU  *
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Of  course,  LTV  >  CAC
But,  moreover:  LTV  >  3x  CAC
LTV  vs  CAC
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Conclusions
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2.  Have  someone  taking  care  of  
your  metrics
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3.  Only  measure  what  you  truly  care  about
@justohidalgo
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4.  Beware  vanity  metrics…
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…  they  may  hide  an  awful  truth
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Thanks  for  your  time!
@justohidalgo
Justo  Hidalgo
http://www.loscuentosdelabuelo.com
jhidalgo@24symbols.com

Data Analytics for Startups - Tetuan Valley Startup School Fall 2015