the programmatic underbelly that no one is … audience...#arfaxs the programmatic underbelly that...
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#ARFAxS
The Programmatic Underbelly That No One is Talking About
Charles Buchwalter
President
Buchwalter Media Consulting
Sherman Langford
Sr. Director Data Science
Oracle Data Cloud
Ted McConnel
SVP, Business Development
Lucid, LLC
HOUSTON: WE HAVE A PROBLEMData Loss and Error in the Supply Chain
OnboardingDMP
Modeling & Aggregation
Targeting Source Data
DMP Lookalike Modeling
DSP Lookalike Modeling
Cross Device Graph
25% -40% error
40% error ?
5% –70% error
5% –70% error
30% –80% error
Source: Scott McKinley, former CEO IDify
How to KnowUse a measurement called “Attribute Density”. This is the concentration of people in the audience that who claim to have the desired characteristic. For control, compare density in defined audience vs random.
Rep Sample: Toy Buyers
= NOT in Target
= In Target
Segment: Toy Buyers
= NOT in Target
= In Target
40% in Target 30% in Target
Segment is 33% better than random
for attribute: Toy Buyer. Media will
perform 33% better than random.
0%
20%
40%
60%
80%
100%
CurrentlyPregnant orPurchased
Diapers in last12 months
Not Pregnant &Have Not
PurchasedDiapers in last
12 months
0%
20%
40%
60%
80%
100%
Has at least 1Dog/Cat inHousehold
No Dog/Cat inHousehold
Oracle Data Cloud | Confidential
20% of US Households are relevant
Diapers
55% of US Households are relevant
Pets
AUDIENCE QUALITY IMPLIES RELEVANCE RELEVANCE IS WHAT REALLY MATTERS
0%
10%
20%
30%
40%% Buyers Reached
ACCURATE DATA IS THE HARDEST WORKING “MEDIA $” YOU’LL SPEND
$0.00
$0.02
$0.04
$0.06
Random DemoSegments
All Segments Model (AllData)
Cost per Buyer$0
$2
$4
$6
$8CPM
Oracle Data Cloud | Confidential
Data labels aren’t enough
10 auto audiences from ODC DMP with very similar data labels have vastly different real-world buyer concentrations
100 200 300 4000
Index of 90-day vehicle purchase rate to national baseline
WHERE TO FROM HERE?
#ARFAxS
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