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© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
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OF SEARCH
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
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bryaneisenberg.com
usethedata.com
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
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© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
3
Correlation vs. Causation
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
4
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
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© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
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© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
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© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
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© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
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© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
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© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
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© 1998-2013 Eisenberg Holdings, LLC. - BryanEisenberg.com - @TheGrok
“The most important single thing
is to focus obsessively on the
customer. Our goal is to be
earth’s most customer-centric
company.”
Jeff Bezos
CEO & President of Amazon.com
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
13
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
14
Too hard for
humans to
process
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
15
Big Data is Not Just Big
Big
Unsctructured
Real-time
Velocity Variety
3 V’s of
Big Data
Volume
Terabytes
Records
Transactions
Tables, Files
Batch
Near time
Real time
Streams
Structured
Unstructured
Semistructured
All of the above
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
16
An organization's ability to learn,
and translate that learning into
action rapidly, is the ultimate
competitive advantage.
Jack Welch, former chairman and CEO of
General Electric
“
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
We take those funds that might
otherwise be used to shout about
our service, and put those funds
instead into improving the
service. That's the philosophy
we've taken from the beginning.
If you do build a great
experience, customers tell each
other about that.
Word of mouth is very powerful.
Success secrets
Continuous Optimization
Corporate Agility
17
“
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
What happened?
Why it happened?
What will happen?
How can it happen?
Analytics Journey
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
Quality Score
7 and higher
19
Big Data & PPC
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
20
Key Differences in the Data
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
21
Game Theory, Human Cognition & The Auction
Because Bing Ads' quality score is
established after the fact, it isn't
used directly to determine your bid
and your ad rank. We generate
quality score to help advertisers
identify improvement opportunities.
Many people think that landing
page relevance is between your
keyword and your landing page.
It's actually based on the search
query your keywords trigger.
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
22
Thanks John Gagnon & Ping Jen
No problem No problem No problem
Poor No YesPoor Poor
Quality Score 1 to 5 QS=6 QS=7 to 10
Landing Page
UX
Landing Page
Relevance
Keyword
Relevance
Your KW CTR >
Marketplace Avg.
CTR
“
“
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
23
Keywords Don’t Fail to Convert...You do! Tweet
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
24
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
25
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
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Quality Score Generations
Gen 1: Based on money paid by company to Google
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
27
Quality Score Generations
Gen 2: QS Introduced 8/2005: Based on clicks CTR = Ad Click
Through Rate
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
28
Gen 3: Simple QS Reporting 2007 : SERPS
Quality Score Generations
Search
1
Search
3
Search
4
Search
2
Playhouses Big wooden playhouses
Big playhouses Big wooden outdoor playhouses
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
29
Don’t End At the Landing Page
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
30
Gen 4: Off Page Activity
Analytics
Quality Score Generations
“
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
31
Google has tons of additional data to help them decide
which ad is most likely to elicit a click from that particular
user based on the time of day, previous searches and
many other factors. It’s a “Big Data” prediction algorithm
and advertisers would do well to apply some of these
same methodologies for picking successful ads to ensure
users get value from their ads, Google is kept happy, and
more sales are generated.
Frederick Vallaeys
Co-founder Optymyzr
Former Adwords Evangelist at Google
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
32
Gen 5: The Near Future
Quality Score Generations
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
33
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
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Google’s Personalized Efforts
The largest set of Column Families in Google’s BigTable are
related to Personalized Search (93 columns) versus only 18
column families for website crawling information.
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
35
What Does
Google Know
About You?
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
36
What type of
Data is Out
there?
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
37
What type
of data is
out there?
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
38
What type
of data is
out there?
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
39
What type
of data is
out there?
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
40
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
*Experian & SEO Moz, 2013
in lost revenue
Hundreds
search queries are long-tail*
You can’t solve this
problem manually.
7 out of 10
Millions
of ways to describe them
41
627
possible long-tail queries
for iPhone 5 case
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
42
How Will You
Scale to Keep Up?
There are
billions of
searches each
day on Google
The instant previews load in
1/10thof a second on average
Since 2003 Google has answered
450 Billionnew unique queries. Searches we have never seen
16%of searches we see
everyday are new
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
43
Where is The Landing Page Opportunity?
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
44
Effectiveness of using dedicated landing pages by website objective Effectiveness of using dedicated landing pages by sales channel
Incentivized
lead
ecommerce
Directed
gen
46%
46%
42%
6%
6%
8%
48%
47%
50%
47%
40%
39%
6%
9%
46%
47%
52%
50%
B2C
B2B
Both
B2B
B2C
Very effective
Somewhat
effective
Not effective Very effective
Somewhat
effective
Not effective
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
45
The #1 SEM Player
About 303,000,000 pages indexed
$55.2M PPC Spend
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
46
Automated bidding
• Sponsored links initially done by humans
• Automated program
-Generates keywords
-Writes ads (Creative)
-Determines landing page
-Manages bids
• Measure conversion rate
• Profit per converted visitor
• Update bid
© 2004 Amazon.com
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
Reporting
Insight
Predictive
Auto -magic
4 types of tools
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
48
OPTMYZR
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
Promo Free Ship
Style Top Handle
Brown
Material Leather
Price $995
Brand Louis Vuitton
Model Mini HL
Sales Rk #2 of 20
Color
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 50
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 50
CLIENT DATA & STRATEGIESTARGETS
Beige Gucci bag LA
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 50
CLIENT DATA & STRATEGIESTARGETS
Beige Gucci bag LA
Intent Extraction
(NLP)
Offer Generation
(Machine Learning)
+
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 50
CLIENT DATA & STRATEGIESTARGETS
Beige Gucci bag LA
The Perfect Message
For Every Customer
Semantic Ad Creation
Intent Extraction
(NLP)
Offer Generation
(Machine Learning)
+
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 50
CLIENT DATA & STRATEGIESTARGETS
Beige Gucci bag LA
The Perfect Message
For Every Customer
Semantic Ad Creation
Intent Extraction
(NLP)
Offer Generation
(Machine Learning)
+
Shared Performance DB
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
Lower CPAConversion Rate
Results:
Louis vuitton handbags
Handbag Louis Vuitton
www.amazon.com
Buy handbag louis vuitton at Amazon!
Qualified orders over $25 ship free
2x 6%
Louis Vuitton Handbags
Bagborroworsteal.com/Louis-Vuitton
Stylish LV Handbags in 18
Colors like Turquoise and Red
DataPop + BBOS = 3,000 Unique ads
51
TIMELOCATION
ENVIRONMENTAL
RELATIONALGEO
DEVICE SPECIFIC
MOBILE,TABLET, DESKTOP
HISTORICALBEHAVIOR 3RD PARTYDATA
INTHE MOMENTBEHAVIOUR
AFFINITIES
LIFETIME HISTORY
INTERACTIONS
DEMOGRAPHICS
PLATFORM DATA
Data Into Action
TIMELOCATION
ENVIRONMENTAL
RELATIONALGEO
DEVICE SPECIFIC
MOBILE,TABLET, DESKTOP
HISTORICALBEHAVIOR 3RD PARTYDATA
INTHE MOMENTBEHAVIOUR
AFFINITIES
LIFETIME HISTORY
INTERACTIONS
DEMOGRAPHICS
PLATFORM DATA
• Tracking every interaction, every visitor, every page, every day
• Aperpetual profile of each and every visitorReal-time Insight
Data Into Action
TIMELOCATION
ENVIRONMENTAL
RELATIONALGEO
DEVICE SPECIFIC
MOBILE,TABLET, DESKTOP
HISTORICALBEHAVIOR 3RD PARTYDATA
INTHE MOMENTBEHAVIOUR
AFFINITIES
LIFETIME HISTORY
INTERACTIONS
DEMOGRAPHICS
PLATFORM DATA
• Tracking every interaction, every visitor, every page, every day
• Aperpetual profile of each and every visitorReal-time Insight
Data Into Action
Intuitive sentence interface
Easy to Use
Do More, Faster
customer adoption
per month
10
20
30
40
50
60
#ofCampaigns
monetate average industry average
industry avg 2-5/month
CLiCs*
© 1998-2013 Eisenberg Holdings, LLC. - BryanEisenberg.com - @TheGrok
Free Behavioral Targeting
© 1998-2013 Eisenberg Holdings, LLC. - BryanEisenberg.com - @TheGrok
Free Behavioral Targeting
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
56
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
56
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
How does Runa help?
Provides a competitive edge against Amazon
57
Price
Shipping
Selection
Payment
Perfect offer
Perfect shipping
Perfect bundle
Pay with points
Amazon dynamic pricing
Amazon prime
Amazon frequently bought together
Amazon pay with Amex points
Runa Amazon
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
58
Success Highlights
•Used OneSpot platform to convert
key content to ads and then
target/distribute to appropriate
audience
•Drove awareness and education
about one-of-a-kind event
•Gave potential attendees a taste
of what to expect; Events are
content too!
•Sequenced content based on
previous interactions
OBJECTIVE: Promote content marketing event to
hard-to-find audience of content marketers…using content marketing
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
59
Showcase Credibility
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
60
Preview/Spotlight the Agenda
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
61
Create Urgency
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
62
7 Steps to Big Data Success
1
2
3
4
5
6
7
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
62
7 Steps to Big Data Success
Don’t get caught up in the hype and jargon1
2
3
4
5
6
7
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
62
7 Steps to Big Data Success
Don’t get caught up in the hype and jargon
Never forget that it is all about understanding your customer
1
2
3
4
5
6
7
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
62
7 Steps to Big Data Success
Don’t get caught up in the hype and jargon
Never forget that it is all about understanding your customer
Identify the questions and problems you need to solve
1
2
3
4
5
6
7
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
62
7 Steps to Big Data Success
Don’t get caught up in the hype and jargon
Never forget that it is all about understanding your customer
Identify the questions and problems you need to solve
Map valuable data inside & outside your organization
1
2
3
4
5
6
7
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
62
7 Steps to Big Data Success
Don’t get caught up in the hype and jargon
Never forget that it is all about understanding your customer
Identify the questions and problems you need to solve
Map valuable data inside & outside your organization
Prepare your organization to see the new landscape
1
2
3
4
5
6
7
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
62
7 Steps to Big Data Success
Don’t get caught up in the hype and jargon
Never forget that it is all about understanding your customer
Identify the questions and problems you need to solve
Map valuable data inside & outside your organization
Prepare your organization to see the new landscape
Look for updates around auto-magic applications
1
2
3
4
5
6
7
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
62
7 Steps to Big Data Success
Don’t get caught up in the hype and jargon
Never forget that it is all about understanding your customer
Identify the questions and problems you need to solve
Map valuable data inside & outside your organization
Prepare your organization to see the new landscape
Look for updates around auto-magic applications
Always remain open to experimentation & CX
1
2
3
4
5
6
7
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
Please
Don’t
Suck!
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
Bryan Eisenberg
bryan@bryaneisenberg.com
Some images provided by Shutterstock
© 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
Bryan Eisenberg
bryan@bryaneisenberg.com
Some images provided by Shutterstock
Blog
www.UseTheData.com
www.BryanEisenberg.com
Phone
(347) 470-GROK (4765)
Bryan Jeffrey
@TheGrok @JeffreyGroks

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Mad Men of Search: How They Leverage Data to Rock the Customer Experience

  • 1. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 1 OF SEARCH
  • 2. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 2 bryaneisenberg.com usethedata.com
  • 3. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 3
  • 4. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 3 Correlation vs. Causation
  • 5. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 4
  • 6. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 5
  • 7. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 6
  • 8. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 7
  • 9. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 8
  • 10. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 8
  • 11. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 9
  • 12. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 10
  • 13. © 1998-2013 Eisenberg Holdings, LLC. - BryanEisenberg.com - @TheGrok “The most important single thing is to focus obsessively on the customer. Our goal is to be earth’s most customer-centric company.” Jeff Bezos CEO & President of Amazon.com
  • 14. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
  • 15. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 13
  • 16. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 14 Too hard for humans to process
  • 17. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 15 Big Data is Not Just Big Big Unsctructured Real-time Velocity Variety 3 V’s of Big Data Volume Terabytes Records Transactions Tables, Files Batch Near time Real time Streams Structured Unstructured Semistructured All of the above
  • 18. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 16 An organization's ability to learn, and translate that learning into action rapidly, is the ultimate competitive advantage. Jack Welch, former chairman and CEO of General Electric “
  • 19. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData We take those funds that might otherwise be used to shout about our service, and put those funds instead into improving the service. That's the philosophy we've taken from the beginning. If you do build a great experience, customers tell each other about that. Word of mouth is very powerful. Success secrets Continuous Optimization Corporate Agility 17 “
  • 20. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData What happened? Why it happened? What will happen? How can it happen? Analytics Journey
  • 21. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData Quality Score 7 and higher 19 Big Data & PPC
  • 22. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 20 Key Differences in the Data
  • 23. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 21 Game Theory, Human Cognition & The Auction
  • 24. Because Bing Ads' quality score is established after the fact, it isn't used directly to determine your bid and your ad rank. We generate quality score to help advertisers identify improvement opportunities. Many people think that landing page relevance is between your keyword and your landing page. It's actually based on the search query your keywords trigger. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 22 Thanks John Gagnon & Ping Jen No problem No problem No problem Poor No YesPoor Poor Quality Score 1 to 5 QS=6 QS=7 to 10 Landing Page UX Landing Page Relevance Keyword Relevance Your KW CTR > Marketplace Avg. CTR “ “
  • 25. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 23 Keywords Don’t Fail to Convert...You do! Tweet
  • 26. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 24
  • 27. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 25
  • 28. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 26 Quality Score Generations Gen 1: Based on money paid by company to Google
  • 29. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 27 Quality Score Generations Gen 2: QS Introduced 8/2005: Based on clicks CTR = Ad Click Through Rate
  • 30. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 28 Gen 3: Simple QS Reporting 2007 : SERPS Quality Score Generations Search 1 Search 3 Search 4 Search 2 Playhouses Big wooden playhouses Big playhouses Big wooden outdoor playhouses
  • 31. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 29 Don’t End At the Landing Page
  • 32. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 30 Gen 4: Off Page Activity Analytics Quality Score Generations
  • 33. “ © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 31 Google has tons of additional data to help them decide which ad is most likely to elicit a click from that particular user based on the time of day, previous searches and many other factors. It’s a “Big Data” prediction algorithm and advertisers would do well to apply some of these same methodologies for picking successful ads to ensure users get value from their ads, Google is kept happy, and more sales are generated. Frederick Vallaeys Co-founder Optymyzr Former Adwords Evangelist at Google
  • 34. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 32 Gen 5: The Near Future Quality Score Generations
  • 35. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 33
  • 36. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 34 Google’s Personalized Efforts The largest set of Column Families in Google’s BigTable are related to Personalized Search (93 columns) versus only 18 column families for website crawling information.
  • 37. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 35 What Does Google Know About You?
  • 38. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 36 What type of Data is Out there?
  • 39. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 37 What type of data is out there?
  • 40. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 38 What type of data is out there?
  • 41. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 39 What type of data is out there?
  • 42. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 40
  • 43. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData *Experian & SEO Moz, 2013 in lost revenue Hundreds search queries are long-tail* You can’t solve this problem manually. 7 out of 10 Millions of ways to describe them 41 627 possible long-tail queries for iPhone 5 case
  • 44. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 42 How Will You Scale to Keep Up? There are billions of searches each day on Google The instant previews load in 1/10thof a second on average Since 2003 Google has answered 450 Billionnew unique queries. Searches we have never seen 16%of searches we see everyday are new
  • 45. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 43 Where is The Landing Page Opportunity?
  • 46. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 44 Effectiveness of using dedicated landing pages by website objective Effectiveness of using dedicated landing pages by sales channel Incentivized lead ecommerce Directed gen 46% 46% 42% 6% 6% 8% 48% 47% 50% 47% 40% 39% 6% 9% 46% 47% 52% 50% B2C B2B Both B2B B2C Very effective Somewhat effective Not effective Very effective Somewhat effective Not effective
  • 47. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 45 The #1 SEM Player About 303,000,000 pages indexed $55.2M PPC Spend
  • 48. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 46 Automated bidding • Sponsored links initially done by humans • Automated program -Generates keywords -Writes ads (Creative) -Determines landing page -Manages bids • Measure conversion rate • Profit per converted visitor • Update bid © 2004 Amazon.com
  • 49. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData Reporting Insight Predictive Auto -magic 4 types of tools
  • 50. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 48 OPTMYZR
  • 51. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData Promo Free Ship Style Top Handle Brown Material Leather Price $995 Brand Louis Vuitton Model Mini HL Sales Rk #2 of 20 Color
  • 52. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 50
  • 53. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 50 CLIENT DATA & STRATEGIESTARGETS Beige Gucci bag LA
  • 54. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 50 CLIENT DATA & STRATEGIESTARGETS Beige Gucci bag LA Intent Extraction (NLP) Offer Generation (Machine Learning) +
  • 55. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 50 CLIENT DATA & STRATEGIESTARGETS Beige Gucci bag LA The Perfect Message For Every Customer Semantic Ad Creation Intent Extraction (NLP) Offer Generation (Machine Learning) +
  • 56. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 50 CLIENT DATA & STRATEGIESTARGETS Beige Gucci bag LA The Perfect Message For Every Customer Semantic Ad Creation Intent Extraction (NLP) Offer Generation (Machine Learning) + Shared Performance DB
  • 57. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData Lower CPAConversion Rate Results: Louis vuitton handbags Handbag Louis Vuitton www.amazon.com Buy handbag louis vuitton at Amazon! Qualified orders over $25 ship free 2x 6% Louis Vuitton Handbags Bagborroworsteal.com/Louis-Vuitton Stylish LV Handbags in 18 Colors like Turquoise and Red DataPop + BBOS = 3,000 Unique ads 51
  • 58. TIMELOCATION ENVIRONMENTAL RELATIONALGEO DEVICE SPECIFIC MOBILE,TABLET, DESKTOP HISTORICALBEHAVIOR 3RD PARTYDATA INTHE MOMENTBEHAVIOUR AFFINITIES LIFETIME HISTORY INTERACTIONS DEMOGRAPHICS PLATFORM DATA Data Into Action
  • 59. TIMELOCATION ENVIRONMENTAL RELATIONALGEO DEVICE SPECIFIC MOBILE,TABLET, DESKTOP HISTORICALBEHAVIOR 3RD PARTYDATA INTHE MOMENTBEHAVIOUR AFFINITIES LIFETIME HISTORY INTERACTIONS DEMOGRAPHICS PLATFORM DATA • Tracking every interaction, every visitor, every page, every day • Aperpetual profile of each and every visitorReal-time Insight Data Into Action
  • 60. TIMELOCATION ENVIRONMENTAL RELATIONALGEO DEVICE SPECIFIC MOBILE,TABLET, DESKTOP HISTORICALBEHAVIOR 3RD PARTYDATA INTHE MOMENTBEHAVIOUR AFFINITIES LIFETIME HISTORY INTERACTIONS DEMOGRAPHICS PLATFORM DATA • Tracking every interaction, every visitor, every page, every day • Aperpetual profile of each and every visitorReal-time Insight Data Into Action
  • 62. Do More, Faster customer adoption per month 10 20 30 40 50 60 #ofCampaigns monetate average industry average industry avg 2-5/month CLiCs*
  • 63. © 1998-2013 Eisenberg Holdings, LLC. - BryanEisenberg.com - @TheGrok Free Behavioral Targeting
  • 64. © 1998-2013 Eisenberg Holdings, LLC. - BryanEisenberg.com - @TheGrok Free Behavioral Targeting
  • 65. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 56
  • 66. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 56
  • 67. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData How does Runa help? Provides a competitive edge against Amazon 57 Price Shipping Selection Payment Perfect offer Perfect shipping Perfect bundle Pay with points Amazon dynamic pricing Amazon prime Amazon frequently bought together Amazon pay with Amex points Runa Amazon
  • 68. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 58 Success Highlights •Used OneSpot platform to convert key content to ads and then target/distribute to appropriate audience •Drove awareness and education about one-of-a-kind event •Gave potential attendees a taste of what to expect; Events are content too! •Sequenced content based on previous interactions OBJECTIVE: Promote content marketing event to hard-to-find audience of content marketers…using content marketing
  • 69. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 59 Showcase Credibility
  • 70. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 60 Preview/Spotlight the Agenda
  • 71. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 61 Create Urgency
  • 72. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 62 7 Steps to Big Data Success 1 2 3 4 5 6 7
  • 73. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 62 7 Steps to Big Data Success Don’t get caught up in the hype and jargon1 2 3 4 5 6 7
  • 74. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 62 7 Steps to Big Data Success Don’t get caught up in the hype and jargon Never forget that it is all about understanding your customer 1 2 3 4 5 6 7
  • 75. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 62 7 Steps to Big Data Success Don’t get caught up in the hype and jargon Never forget that it is all about understanding your customer Identify the questions and problems you need to solve 1 2 3 4 5 6 7
  • 76. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 62 7 Steps to Big Data Success Don’t get caught up in the hype and jargon Never forget that it is all about understanding your customer Identify the questions and problems you need to solve Map valuable data inside & outside your organization 1 2 3 4 5 6 7
  • 77. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 62 7 Steps to Big Data Success Don’t get caught up in the hype and jargon Never forget that it is all about understanding your customer Identify the questions and problems you need to solve Map valuable data inside & outside your organization Prepare your organization to see the new landscape 1 2 3 4 5 6 7
  • 78. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 62 7 Steps to Big Data Success Don’t get caught up in the hype and jargon Never forget that it is all about understanding your customer Identify the questions and problems you need to solve Map valuable data inside & outside your organization Prepare your organization to see the new landscape Look for updates around auto-magic applications 1 2 3 4 5 6 7
  • 79. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData 62 7 Steps to Big Data Success Don’t get caught up in the hype and jargon Never forget that it is all about understanding your customer Identify the questions and problems you need to solve Map valuable data inside & outside your organization Prepare your organization to see the new landscape Look for updates around auto-magic applications Always remain open to experimentation & CX 1 2 3 4 5 6 7
  • 80. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData Please Don’t Suck!
  • 81. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData
  • 82. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData Bryan Eisenberg bryan@bryaneisenberg.com Some images provided by Shutterstock
  • 83. © 2013 Eisenberg Holdings, LLC. BryanEisenberg.com / @TheGrok, @JeffreyGroks, #BigData Bryan Eisenberg bryan@bryaneisenberg.com Some images provided by Shutterstock Blog www.UseTheData.com www.BryanEisenberg.com Phone (347) 470-GROK (4765) Bryan Jeffrey @TheGrok @JeffreyGroks