Ad:Tech NY Session - Leveraging the Power of First-Party Data
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Transcript of Ad:Tech NY Session - Leveraging the Power of First-Party Data
Leveraging
the Power of
First-Party DataBy Jonathan Doan, VP of Data Solutions
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Targeting
AccuracyUsing cookies
*% of impressions delivered accurately
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Women
(1 demographic)
Woman age 18-34
(2 demographics)
70% 48%
Woman age 18-34
with kids
(3 demographics)
Behavioral
Targeting
11% 36%
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I purchase more from
retailers who suggest
products based on my
browsing or buying behavior
I get frustrated when emails
recommending products do
not take into account my past
browsing behavior
I expect retailers to take
into account in-store
purchases when marketing
to me afterwards
Customer Expectations are Growing
Source: 7th Annual Consumer Personalization Survey, the e-tailing group and MyBuys
53% 38%49%
Four Critical
Building BlocksCustomer Data Platform
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Data Layer
Audience Profiles
Audience Actions
Audience Analytics
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Unified
Customer
ViewThe Best View
First-party, real-time, cross-channel
Case StudyAncestry.com
Raised effectiveness of re-engagement by
60% by contacting cart abandoners in one
hour or less (vs. 24 to 48 hours later).
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Case StudyCharter Communications
Granular focus on higher-value product
segments enabled company to shift away
from volume-based growth to running
smarter campaigns that improve retention
and increase average order size.
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Case StudyAmerican Eagle
Ability to stitch customer data together
across online and offline systems enabled
an entirely new shopping experience
(reserve on-line, collect in-store), and
armed associates with up-sell opportunities
via personalization.
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