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Josh Braaten
CollegisEducation.com
@JLBraaten
• Director of Inbound
Marketing, Collegis Education
• Vice President of Minnesota
Search Engine Marketing
Association
• Co-Founder of Glass en Masse
Three times
as likely
to execute
decisions
as intended
Source: Forbes,The Big Data Boom: Is Your Company Ready?
October, 2013
Impressions * Click-Through Rate = Clicks =
Visits * Conversion Rate = Conversions *
Average Transaction Value = Revenue –
Expenses = Profit
Internet Math is Business Math
Sent Emails * Open Rate = Opens *
Click-Through Rate = Clicks =
Visits * Conversion Rate = Conversions *
Average Transaction Value = Revenue –
Expenses = Profit
Internet Math is Business Math
# of Tweets * Avg Retweet Rate =
Twitter Impressions * Twitter
Click-Through Rate = Clicks =
Visits * Conversion Rate = Conversions *
Average Transaction Value = Revenue –
Expenses = Profit
Internet Math is Business Math
Impressions * Click-Through Rate = Clicks =
Visits * Conversion Rate = Conversions *
Average Transaction Value = Average
Revenue per Quarter *
Number of Quarters – Quarterly
Expenses = Profit
Internet Math is Business Math
Twice as likely to
use data very
frequently when
making decisions
Source: Forbes, The Big Data Boom: Is Your Company Ready?
October, 2013
Without a System, All Issues Look the Same
Issue
#1
Issue
#3
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#2
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#9
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#2
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#1
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#2
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#8 #9
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#10
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#1
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#3
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#2
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#7
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#10
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#2
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#6Issue
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#5
#3
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#7
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#2
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#10
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#4
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#1
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Issues Reported by Students
Issue 1 Issue 2 Issue 3 Issue 4 Issue 5 Issue 6 Issue 7 Issue 8 Issue 9 Issue 10 Issue 11
Issues Reported by Students with Drops
Issue 1 Issue 2 Issue 3 Issue 4 Issue 5 Issue 6 Issue 7 Issue 8 Issue 9 Issue 10 Issue 11
Issue 1 Issue 2 Issue 3 Issue 4 Issue 5 Issue 6 Issue 7 Issue 8 Issue 9 Issue 10 Issue 11
Issues Reported by Students with Drops
Public Enemy #1
Issues Reported by Students with Drops
Issue 4 Issue 1 Issue 2 Issue 7 Issue 3 Issue 5 Issue 8 Issue 9 Issue 10 Issue 11 Issue 6
Source: The New York Times, What Wal-Mart Knows
About Customers’s Habits November, 2004
“Start predicting what’s going to happen,
instead of waiting for it to happen.”
-Linda Dillman, Walmart, 2004
Source: Forbes, How Target Figured Out a Teen
Girl Was Pregnant Before Her Father Did
February, 2012
Guest ID # Credit Card Name Email
1000000001 xxxx-xxxx-xxxx-4243 Josh Braaten jlbraaten@gmail.com
1000000002 xxxx-xxxx-xxxx-3053 John Doe johndoe@gmail.com
1000000003 xxxx-xxxx-xxxx-1836 John Smith john@aol.com
Getting Systems in Order is Both Easy and Hard
Unique Customer ID
Source: Fast Company, Jawbone Tracked
Hundreds of Thousands of Up Users to Find the
Most Sleep-Deprived States December, 2013
Without It, Everything Looks Like This
Issue
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#2
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#2
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#4
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#1
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#4
Issues Reported by Students
Issue 1 Issue 2 Issue 3 Issue 4 Issue 5 Issue 6 Issue 7 Issue 8 Issue 9 Issue 10 Issue 11
Issues Reported by Students with Drops
Issue 4 Issue 1 Issue 2 Issue 7 Issue 3 Issue 5 Issue 8 Issue 9 Issue 10 Issue 11 Issue 6
Issues Reported by Students with Drops
Issue 4 Issue 1 Issue 2 Issue 7 Issue 3 Issue 5 Issue 8 Issue 9 Issue 10 Issue 11 Issue 6
Public Enemy #1
Source: Wired, Mark Zuckerberg’s Letter to Investors:
“The Hacker Way” February, 2012
“The Hacker Way is an approach to building
that involves continuous improvement and
iteration. Hackers believe that something can
always be better, and that nothing is ever
complete. They just have to go fix it — often
in the face of people who say it’s impossible
or are content with the status quo.”
- Mark Zuckerberg, Facebook, 2012
An Analytics Swiss Army Knife Provides Insights
Segment Traffic CR(%) Goal Completions
Products 80,000 4% 3,200
Locations 50,000 6% 3,000
Home 225,000 1% 2,250
New Customers 10,000 10% 1,000
Service 15,000 5% 750
An Analytics Swiss Army Knife Provides Insights
An Analytics Swiss Army Knife Provides Insights
An Analytics Swiss Army Knife Provides Insights
An Analytics Swiss Army Knife Provides Insights
An Analytics Swiss Army Knife Provides Insights
An Analytics Swiss Army Knife Provides Insights
An Analytics Swiss Army Knife Provides Insights
An Analytics Swiss Army Knife Provides Insights
An Analytics Swiss Army Knife Provides Insights
Five times as
likely to make
decisions much
faster than their
market peers
Source: Forbes, The Big Data Boom: Is Your
Company Ready? October, 2013
Controlled Testing Verifies Hypotheses and Understanding
Issues Reported by Students with Drops
Issue 4 Issue 1 Issue 2 Issue 7 Issue 3 Issue 5 Issue 8 Issue 9 Issue 10 Issue 11 Issue 6
Public Enemy #1
Q1 Q2 Q3 Q4
No Social Media 72% 70% 73% 72%
Facebook Users +26% +27% +15% +14%
Community Users +24% +21% +5% +14%
Source: Harvard Business Review, When to Act on Correlation, and When Not To March, 2014
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Original V1: Blue V2: Olive
Satisfied Neutral Dissatisfied
Qualaroo NPS Ratings by Background Color
Source: Forbes, The Big Data Boom: Is Your Company Ready?
October, 2013
Twice as likely to
be in the top
quartile of financial
performance within
their industries
When More Companies Can See Where Issues Affect Revenue
Impressions * Click-Through Rate = Clicks =
Visits * Conversion Rate = Conversions *
Average Transaction Value = Average
Revenue per Quarter * Number of Quarters
– Quarterly Expenses = Profit
Where Issues Seem Less Like This
Issue
#1
Issue
#3
Issue
#2
Issue
#7
Issue
#5
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#6
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#4
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#8 #9
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#1
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#3
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Issue
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#2
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#7
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#6Issue
Issue
#4
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#1
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#3
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#9
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#6
Issue
#7
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#3
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#7
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Issu
#5
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#7
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Issue
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#10
Issue
#4
Issue
#1
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#4
Issue 4 Issue 1 Issue 2 Issue 7 Issue 3 Issue 5 Issue 8 Issue 9 Issue 10 Issue 11 Issue 6
Issues Reported by Students with Drops
And Tested
With This
To Produce
Wins Like This
v
To Produce
Wins Like this
How to Build a Data Driven Company - Josh Braaten - SearchLove 2014
How to Build a Data Driven Company - Josh Braaten - SearchLove 2014
How to Build a Data Driven Company - Josh Braaten - SearchLove 2014
How to Build a Data Driven Company - Josh Braaten - SearchLove 2014

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How to Build a Data Driven Company - Josh Braaten - SearchLove 2014

  • 2. • Director of Inbound Marketing, Collegis Education • Vice President of Minnesota Search Engine Marketing Association • Co-Founder of Glass en Masse
  • 3.
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  • 24. Three times as likely to execute decisions as intended Source: Forbes,The Big Data Boom: Is Your Company Ready? October, 2013
  • 25. Impressions * Click-Through Rate = Clicks = Visits * Conversion Rate = Conversions * Average Transaction Value = Revenue – Expenses = Profit Internet Math is Business Math
  • 26. Sent Emails * Open Rate = Opens * Click-Through Rate = Clicks = Visits * Conversion Rate = Conversions * Average Transaction Value = Revenue – Expenses = Profit Internet Math is Business Math
  • 27. # of Tweets * Avg Retweet Rate = Twitter Impressions * Twitter Click-Through Rate = Clicks = Visits * Conversion Rate = Conversions * Average Transaction Value = Revenue – Expenses = Profit Internet Math is Business Math
  • 28. Impressions * Click-Through Rate = Clicks = Visits * Conversion Rate = Conversions * Average Transaction Value = Average Revenue per Quarter * Number of Quarters – Quarterly Expenses = Profit Internet Math is Business Math
  • 29.
  • 30. Twice as likely to use data very frequently when making decisions Source: Forbes, The Big Data Boom: Is Your Company Ready? October, 2013
  • 31.
  • 32.
  • 33.
  • 34.
  • 35. Without a System, All Issues Look the Same Issue #1 Issue #3 Issue #2 Issue #7 Issue #5 Issue #6 Issue #4 Issue #8 Issue #9 ue 10 Issue #1 e Issue #7 Issue #5 Issue #6 Issue #4 Issue #8 Issue #9 Issue #10 Issue #2 Issue #7 Issue #9 Issue Issue #1 Issue #3 Issue #2 Issue #7 Issue #5 Issue #6 Issue #4 #8 #9 Issue #10 Issue #1 Issue #3 Issue #2 Issue #7 Issue #5 Issue #6 Issue #4 Issue #8 Issue #9 Issue #10 Issue #2 Issue #7 Issue #9 Issue #6Issue Issue #4 Issue #1 #7 Issue #3 Issue #9 Issue #6 Issue #7 Issue #3 Issue #5 Issue #7 Iss # Issu #5 #3 Issue #7 Iss # Issue #7 Issue #2 Issue #10 Issue #4 Issue #1 Issue #4
  • 36. Issues Reported by Students Issue 1 Issue 2 Issue 3 Issue 4 Issue 5 Issue 6 Issue 7 Issue 8 Issue 9 Issue 10 Issue 11
  • 37. Issues Reported by Students with Drops Issue 1 Issue 2 Issue 3 Issue 4 Issue 5 Issue 6 Issue 7 Issue 8 Issue 9 Issue 10 Issue 11
  • 38. Issue 1 Issue 2 Issue 3 Issue 4 Issue 5 Issue 6 Issue 7 Issue 8 Issue 9 Issue 10 Issue 11 Issues Reported by Students with Drops Public Enemy #1
  • 39.
  • 40. Issues Reported by Students with Drops Issue 4 Issue 1 Issue 2 Issue 7 Issue 3 Issue 5 Issue 8 Issue 9 Issue 10 Issue 11 Issue 6
  • 41. Source: The New York Times, What Wal-Mart Knows About Customers’s Habits November, 2004 “Start predicting what’s going to happen, instead of waiting for it to happen.” -Linda Dillman, Walmart, 2004
  • 42.
  • 43. Source: Forbes, How Target Figured Out a Teen Girl Was Pregnant Before Her Father Did February, 2012
  • 44. Guest ID # Credit Card Name Email 1000000001 xxxx-xxxx-xxxx-4243 Josh Braaten jlbraaten@gmail.com 1000000002 xxxx-xxxx-xxxx-3053 John Doe johndoe@gmail.com 1000000003 xxxx-xxxx-xxxx-1836 John Smith john@aol.com
  • 45. Getting Systems in Order is Both Easy and Hard Unique Customer ID
  • 46. Source: Fast Company, Jawbone Tracked Hundreds of Thousands of Up Users to Find the Most Sleep-Deprived States December, 2013
  • 47. Without It, Everything Looks Like This Issue #1 Issue #3 Issue #2 Issue #7 Issue #5 Issue #6 Issue #4 Issue #8 Issue #9 ue 10 Issue #1 e Issue #7 Issue #5 Issue #6 Issue #4 Issue #8 Issue #9 Issue #10 Issue #2 Issue #7 Issue #9 Issue Issue #1 Issue #3 Issue #2 Issue #7 Issue #5 Issue #6 Issue #4 #8 #9 Issue #10 Issue #1 Issue #3 Issue #2 Issue #7 Issue #5 Issue #6 Issue #4 Issue #8 Issue #9 Issue #10 Issue #2 Issue #7 Issue #9 Issue #6Issue Issue #4 Issue #1 #7 Issue #3 Issue #9 Issue #6 Issue #7 Issue #3 Issue #5 Issue #7 Iss # Issu #5 #3 Issue #7 Iss # Issue #7 Issue #2 Issue #10 Issue #4 Issue #1 Issue #4
  • 48. Issues Reported by Students Issue 1 Issue 2 Issue 3 Issue 4 Issue 5 Issue 6 Issue 7 Issue 8 Issue 9 Issue 10 Issue 11
  • 49. Issues Reported by Students with Drops Issue 4 Issue 1 Issue 2 Issue 7 Issue 3 Issue 5 Issue 8 Issue 9 Issue 10 Issue 11 Issue 6
  • 50.
  • 51. Issues Reported by Students with Drops Issue 4 Issue 1 Issue 2 Issue 7 Issue 3 Issue 5 Issue 8 Issue 9 Issue 10 Issue 11 Issue 6 Public Enemy #1
  • 52. Source: Wired, Mark Zuckerberg’s Letter to Investors: “The Hacker Way” February, 2012 “The Hacker Way is an approach to building that involves continuous improvement and iteration. Hackers believe that something can always be better, and that nothing is ever complete. They just have to go fix it — often in the face of people who say it’s impossible or are content with the status quo.” - Mark Zuckerberg, Facebook, 2012
  • 53.
  • 54. An Analytics Swiss Army Knife Provides Insights Segment Traffic CR(%) Goal Completions Products 80,000 4% 3,200 Locations 50,000 6% 3,000 Home 225,000 1% 2,250 New Customers 10,000 10% 1,000 Service 15,000 5% 750
  • 55. An Analytics Swiss Army Knife Provides Insights
  • 56. An Analytics Swiss Army Knife Provides Insights
  • 57. An Analytics Swiss Army Knife Provides Insights
  • 58. An Analytics Swiss Army Knife Provides Insights
  • 59. An Analytics Swiss Army Knife Provides Insights
  • 60. An Analytics Swiss Army Knife Provides Insights
  • 61. An Analytics Swiss Army Knife Provides Insights
  • 62. An Analytics Swiss Army Knife Provides Insights
  • 63. An Analytics Swiss Army Knife Provides Insights
  • 64. Five times as likely to make decisions much faster than their market peers Source: Forbes, The Big Data Boom: Is Your Company Ready? October, 2013
  • 65.
  • 66. Controlled Testing Verifies Hypotheses and Understanding
  • 67.
  • 68. Issues Reported by Students with Drops Issue 4 Issue 1 Issue 2 Issue 7 Issue 3 Issue 5 Issue 8 Issue 9 Issue 10 Issue 11 Issue 6 Public Enemy #1
  • 69. Q1 Q2 Q3 Q4 No Social Media 72% 70% 73% 72% Facebook Users +26% +27% +15% +14% Community Users +24% +21% +5% +14%
  • 70. Source: Harvard Business Review, When to Act on Correlation, and When Not To March, 2014
  • 71.
  • 72. 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Original V1: Blue V2: Olive Satisfied Neutral Dissatisfied Qualaroo NPS Ratings by Background Color
  • 73.
  • 74.
  • 75.
  • 76.
  • 77.
  • 78.
  • 79. Source: Forbes, The Big Data Boom: Is Your Company Ready? October, 2013 Twice as likely to be in the top quartile of financial performance within their industries
  • 80. When More Companies Can See Where Issues Affect Revenue Impressions * Click-Through Rate = Clicks = Visits * Conversion Rate = Conversions * Average Transaction Value = Average Revenue per Quarter * Number of Quarters – Quarterly Expenses = Profit
  • 81. Where Issues Seem Less Like This Issue #1 Issue #3 Issue #2 Issue #7 Issue #5 Issue #6 Issue #4 Issue #8 Issue #9 ue 10 Issue #1 e Issue #7 Issue #5 Issue #6 Issue #4 Issue #8 Issue #9 Issue #10 Issue #2 Issue #7 Issue #9 Issue Issue #1 Issue #3 Issue #2 Issue #7 Issue #5 Issue #6 Issue #4 #8 #9 Issue #10 Issue #1 Issue #3 Issue #2 Issue #7 Issue #5 Issue #6 Issue #4 Issue #8 Issue #9 Issue #10 Issue #2 Issue #7 Issue #9 Issue #6Issue Issue #4 Issue #1 #7 Issue #3 Issue #9 Issue #6 Issue #7 Issue #3 Issue #5 Issue #7 Iss # Issu #5 #3 Issue #7 Iss # Issue #7 Issue #2 Issue #10 Issue #4 Issue #1 Issue #4
  • 82. Issue 4 Issue 1 Issue 2 Issue 7 Issue 3 Issue 5 Issue 8 Issue 9 Issue 10 Issue 11 Issue 6 Issues Reported by Students with Drops
  • 83.