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4REASONS
DIGITAL MARKETERS
SHOULD CONSIDER
AN ONLINE DATA
CO-OP
Webinar with:
Jacob Ross
PRESIDENT ADROIT DIGITAL & Fatemeh Khatibloo
PRINCIPAL ANALYST CUSTOMER INSIGHTS PROFESSIONALS FORRESTER
Jacob Ross became president of Adroit in October 2014.
He has previously held leadership positions at Metamarkets,
Criteo, Demand Media and Right Media (now Yahoo!).
Jacob graduated with honors from Reed College.
Follow him @jacobaross
Fatemeh Khatibloo serves Customer Insights Professionals at
Forrester with a focus on the shifting consumer data ecosystem.
She has previously worked at Times Two Marketing, Binger
Catalog Marketing, Epsilon and Haggin Marketing
(now SolutionSet). Fatemeh has a B.A. from George
Washington University.
Follow her @fatemehx2
About Our Speakers
CHAPTER 1:
Everything Old is New Again:
The Modern Data Co-op
CHAPTER 2:
Better Together:
How Marketers Can Benefit
from Digital Data Co-ops
CHAPTER 3:
Making the Case for Digital Co-op Data:
A Tale of Two Brands
Everything Old
is New Again:
The Modern
Data Co-op
How do digital marketers stay
ahead in the current landscape?
Note: digital display ads transacted via and API, including everything from publisher-erected APIs to more standardized RTB technology; includes advertising
that appears on desktop/laptop computers as well as mobile phones and tablets; *includes banners, rich media, sponsorship, video and other
To make predictions about
what customers will buy
in the future you need to
have good data on what
they have bought in the
past Harvard Business Review
A Predictive Analytics Primer, September 2014
Your 1st-party data
is powerful
but doesn’t offer scale
3rd-party data is vast
but can be costly, inaccurate and
often opaque
Better Together:
How Marketers
Can Benefit from
Digital Data Co-ops
© 2015 Forrester Research, Inc. Reproduction Prohibited 9
Agenda
› What is a digital data co-op,
anyway?
› Why first-party data isn’t always
king
› How marketers should leverage a
digital data co-op
© 2015 Forrester Research, Inc. Reproduction Prohibited 10
© 2015 Forrester Research, Inc. Reproduction Prohibited 11
A story of three data types
First Party
• “Owned” by your firm
• Generated by
interactions with your
own audience and/or
customers
• Governed by your own
privacy policies
Second Party
• May be co-owned
• Shared co-operatively
by or between
business partners
• Includes data shared
by your own
customers
• Often anonymized or
shared in aggregate
• Governed by a shared
set of policies
Third Party
• “Owned” by a vendor
• Usually acquired on a
CPM-type basis for
specific purposes
• Governed by a
purchase agreement
• Can be aggregated or
at the individual level
© 2015 Forrester Research, Inc. Reproduction Prohibited 12
“An online pool of shared
shopper data as well as shared
first-party digital data from other
brands/publishers.”
Image source: falsefabs.wordpress.com
© 2015 Forrester Research, Inc. Reproduction Prohibited 14
Privacy and security are primary
concerns
© 2015 Forrester Research, Inc. Reproduction Prohibited 15
But many companies already share data
› 38% share some data and analytics with their
business partners
› 34% share data and analytics with their
customers
› 19% either already sell, or plan to sell, data and
data services to their business partners
© 2015 Forrester Research, Inc. Reproduction Prohibited 16
Too many questions
but the wrong data
to answer them
Too much data but
unable to answer
the right questions
16
© 2015 Forrester Research, Inc. Reproduction Prohibited 17
Marketers rely on more than 1st party
data
55%
rely on
third-party data
68%
rely on data from
business partners
– aka “second-
party data”
© 2015 Forrester Research, Inc. Reproduction Prohibited 18
In fact, it’s a critical tool for media
strategy
© 2015 Forrester Research, Inc. Reproduction Prohibited 19
Use a co-op to gain insights at scale
› Forrester has found that second-party data provides
more reach than first-party data, which is limited to
brand’s own internal data
› Second-party data also provides more granularity than
traditional third-party data
› The combination delivers far better insights, at scale,
than either first- or third-party data alone
© 2015 Forrester Research, Inc. Reproduction Prohibited 20
Co-ops enable more accurate reach
across channels
› Digital co-ops help brands isolate prospects from their
existing customers in digital media
› Then, brands can suppress existing customers from their
prospecting efforts, creating far better-tailored acquisition
programs, specific to each channel or medium
© 2015 Forrester Research, Inc. Reproduction Prohibited 21
Better insights improve customer
experience
› Meanwhile, the ability to isolate existing customers from
prospects enables content and offer customization to
each of those segments
› Using selective suppression, brands can create a
consistent experience across channels for each segment
› As a result, 46% of marketers using a co-op point to
better customer experience as a result of their insights
© 2015 Forrester Research, Inc. Reproduction Prohibited 22
Ultimately co-ops improve marketing
ROI
› The combination of recognition + CX + scale = an
overwhelming improvement in marketing ROI
• 42% of survey respondents using a co-op saw better ROIs
• 71% of marketers think co-ops deliver incremental revenue
• 76% of marketers expect to see financial efficiencies in the first
12 months of participating in a co-op
Data co-ops are
now being used
in the digital
world
This transaction data is:
Scalable
Validated
Secure
Actionable
ADROIT DIGITAL SHOPPER COOPERATIVE
Customer Success | Case Studies
Digital data co-ops drive better:
• ROI • Customer acquisition • Insights
GOALS
TACTICS
RESULTS
Online-Only Children’s Furniture Retailer
• Prospect for new customers
• $6 Return on Ad Spend
• % of New Customers at 40%
• Media: Display
• Strategies: Prospecting Only
• Targeting: Shopper Co-op model, Private Marketplace,
Whitelist, Goal-Based Optimization
• Exceeded primary metric goal by 33%, delivering
$8 Return on Ad Spend
• Delivered 50% new customers
ADROIT DIGITAL SHOPPER COOPERATIVE
Customer Success | Case Studies
Digital data co-ops drive better:
• Remarketing • Full-funnel results
GOALS
TACTICS
RESULTS
Multi-channel Men’s Clothing Retailer
• Prospect for new customers and grow
remarketing pool to drive purchases
• $5 Return on Ad Spend goal across both strategies
• Media: Display, Social, Mobile
• Strategies: Prospecting, Remarketing
• Targeting: Shopper Co-op model, Co-op Segments,
Private Marketplace, Goal-Based Optimization
• Delivered $7 Return on Ad Spend, 40% higher than goal
• Adroit was consistently the top-performing partner
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4 REASONS DIGITAL MARKETERS SHOULD CONSIDER AN ONLINE DATA CO-OP

  • 1. 4REASONS DIGITAL MARKETERS SHOULD CONSIDER AN ONLINE DATA CO-OP Webinar with: Jacob Ross PRESIDENT ADROIT DIGITAL & Fatemeh Khatibloo PRINCIPAL ANALYST CUSTOMER INSIGHTS PROFESSIONALS FORRESTER
  • 2. Jacob Ross became president of Adroit in October 2014. He has previously held leadership positions at Metamarkets, Criteo, Demand Media and Right Media (now Yahoo!). Jacob graduated with honors from Reed College. Follow him @jacobaross Fatemeh Khatibloo serves Customer Insights Professionals at Forrester with a focus on the shifting consumer data ecosystem. She has previously worked at Times Two Marketing, Binger Catalog Marketing, Epsilon and Haggin Marketing (now SolutionSet). Fatemeh has a B.A. from George Washington University. Follow her @fatemehx2 About Our Speakers
  • 3. CHAPTER 1: Everything Old is New Again: The Modern Data Co-op CHAPTER 2: Better Together: How Marketers Can Benefit from Digital Data Co-ops CHAPTER 3: Making the Case for Digital Co-op Data: A Tale of Two Brands
  • 4. Everything Old is New Again: The Modern Data Co-op
  • 5. How do digital marketers stay ahead in the current landscape? Note: digital display ads transacted via and API, including everything from publisher-erected APIs to more standardized RTB technology; includes advertising that appears on desktop/laptop computers as well as mobile phones and tablets; *includes banners, rich media, sponsorship, video and other
  • 6. To make predictions about what customers will buy in the future you need to have good data on what they have bought in the past Harvard Business Review A Predictive Analytics Primer, September 2014
  • 7. Your 1st-party data is powerful but doesn’t offer scale 3rd-party data is vast but can be costly, inaccurate and often opaque
  • 8. Better Together: How Marketers Can Benefit from Digital Data Co-ops
  • 9. © 2015 Forrester Research, Inc. Reproduction Prohibited 9 Agenda › What is a digital data co-op, anyway? › Why first-party data isn’t always king › How marketers should leverage a digital data co-op
  • 10. © 2015 Forrester Research, Inc. Reproduction Prohibited 10
  • 11. © 2015 Forrester Research, Inc. Reproduction Prohibited 11 A story of three data types First Party • “Owned” by your firm • Generated by interactions with your own audience and/or customers • Governed by your own privacy policies Second Party • May be co-owned • Shared co-operatively by or between business partners • Includes data shared by your own customers • Often anonymized or shared in aggregate • Governed by a shared set of policies Third Party • “Owned” by a vendor • Usually acquired on a CPM-type basis for specific purposes • Governed by a purchase agreement • Can be aggregated or at the individual level
  • 12. © 2015 Forrester Research, Inc. Reproduction Prohibited 12 “An online pool of shared shopper data as well as shared first-party digital data from other brands/publishers.”
  • 14. © 2015 Forrester Research, Inc. Reproduction Prohibited 14 Privacy and security are primary concerns
  • 15. © 2015 Forrester Research, Inc. Reproduction Prohibited 15 But many companies already share data › 38% share some data and analytics with their business partners › 34% share data and analytics with their customers › 19% either already sell, or plan to sell, data and data services to their business partners
  • 16. © 2015 Forrester Research, Inc. Reproduction Prohibited 16 Too many questions but the wrong data to answer them Too much data but unable to answer the right questions 16
  • 17. © 2015 Forrester Research, Inc. Reproduction Prohibited 17 Marketers rely on more than 1st party data 55% rely on third-party data 68% rely on data from business partners – aka “second- party data”
  • 18. © 2015 Forrester Research, Inc. Reproduction Prohibited 18 In fact, it’s a critical tool for media strategy
  • 19. © 2015 Forrester Research, Inc. Reproduction Prohibited 19 Use a co-op to gain insights at scale › Forrester has found that second-party data provides more reach than first-party data, which is limited to brand’s own internal data › Second-party data also provides more granularity than traditional third-party data › The combination delivers far better insights, at scale, than either first- or third-party data alone
  • 20. © 2015 Forrester Research, Inc. Reproduction Prohibited 20 Co-ops enable more accurate reach across channels › Digital co-ops help brands isolate prospects from their existing customers in digital media › Then, brands can suppress existing customers from their prospecting efforts, creating far better-tailored acquisition programs, specific to each channel or medium
  • 21. © 2015 Forrester Research, Inc. Reproduction Prohibited 21 Better insights improve customer experience › Meanwhile, the ability to isolate existing customers from prospects enables content and offer customization to each of those segments › Using selective suppression, brands can create a consistent experience across channels for each segment › As a result, 46% of marketers using a co-op point to better customer experience as a result of their insights
  • 22. © 2015 Forrester Research, Inc. Reproduction Prohibited 22 Ultimately co-ops improve marketing ROI › The combination of recognition + CX + scale = an overwhelming improvement in marketing ROI • 42% of survey respondents using a co-op saw better ROIs • 71% of marketers think co-ops deliver incremental revenue • 76% of marketers expect to see financial efficiencies in the first 12 months of participating in a co-op
  • 23. Data co-ops are now being used in the digital world This transaction data is: Scalable Validated Secure Actionable
  • 24. ADROIT DIGITAL SHOPPER COOPERATIVE Customer Success | Case Studies Digital data co-ops drive better: • ROI • Customer acquisition • Insights GOALS TACTICS RESULTS Online-Only Children’s Furniture Retailer • Prospect for new customers • $6 Return on Ad Spend • % of New Customers at 40% • Media: Display • Strategies: Prospecting Only • Targeting: Shopper Co-op model, Private Marketplace, Whitelist, Goal-Based Optimization • Exceeded primary metric goal by 33%, delivering $8 Return on Ad Spend • Delivered 50% new customers
  • 25. ADROIT DIGITAL SHOPPER COOPERATIVE Customer Success | Case Studies Digital data co-ops drive better: • Remarketing • Full-funnel results GOALS TACTICS RESULTS Multi-channel Men’s Clothing Retailer • Prospect for new customers and grow remarketing pool to drive purchases • $5 Return on Ad Spend goal across both strategies • Media: Display, Social, Mobile • Strategies: Prospecting, Remarketing • Targeting: Shopper Co-op model, Co-op Segments, Private Marketplace, Goal-Based Optimization • Delivered $7 Return on Ad Spend, 40% higher than goal • Adroit was consistently the top-performing partner

Editor's Notes

  1. Back in the catalog heyday of the ‘90s And it’s here, in co-ops, that we first encounter the notion of “second party data” with any scale.
  2. But obviously, most digital marketers see “shared data” and can’t help but
  3. As a result, over the past five years, consumer awareness and concerns around data collection and use have skyrocketed. And people are worried.
  4. There are some businesses that have figured this out, and have used data as not just an insights engine but also an innovation engine. Here are some examples.
  5. Input to the analytics you rely on: What is your customer’s context at her moment of need? Second, baked into the output you deliver: The touch point needs to be contextually relevant and appropriate.
  6. Input to the analytics you rely on: What is your customer’s context at her moment of need? Second, baked into the output you deliver: The touch point needs to be contextually relevant and appropriate.
  7. Input to the analytics you rely on: What is your customer’s context at her moment of need? Second, baked into the output you deliver: The touch point needs to be contextually relevant and appropriate.