5. Eyeota: Largest audience data marketplace globally
Owned by Dun & Bradstreet Company
(NYSE listed and founded in 1841)
Largest audience data
marketplace globally
Accreditation
● IAB Consent and Transparency
Framework (vendor ID 120)
● Ranked No. 1 in Global Data
Privacy Scores by Neutronian (an
independent data verification
and certification platform)
90% of all Fortune 100 brands
(and many others)
Clientele & Distribution
Big six global agency groups: WPP,
Omnicom, Publics, IPG, Dentsu and
Havas (and their subsidiaries) &
others
Data
Integrated with the leading global
ad buying platforms, trading desks,
DSPs, DMPs and ad networks.
5 billion qualified unique user
IDs globally
30K+ research companies, data
owners & publishers
~1000 audience segments
available in India
6. Eyeota data is privacy-compliant, transparent and qualified that gives you
data confidence for your campaigns
The quality of audience data segments has been independently audited and verified.
IAB's Data Transparency Label is intended to give every
marketer, agency, data provider and publisher a clear view of
the audience segments they use.
This is a global initiative set out by IAB Tech Lab and it's Data
Transparency Standard Compliance Program to bring
transparency standards to the data marketplace.
A comprehensive audit of the processes and procedures that
build the Eyeota branded audience segments and has been
awarded the Neutronian Certification Badge. A Rigorous and in-
depth audit of data sources, processes and privacy
compliance
Privacy compliant including GDPR, CCPA, etc.
7.
8. Trusted globally by leading DSPs, DMPs and Social Networking platforms
Demand Side Platforms Data Management Platforms
Social Networking Platforms
Agencies
9. Data
Aggregators
Kantar, Lifesight, Bombora,
Affinity Answers, Experian,
etc.
Publishers
Forbes, CNN, Bloomberg,
Informa PLC, etc.
1P Data
(On/Offline)
Offline
Online Tools Sharethis, etc.
Dun and Bradstreet and
survey data
POS Machines, MasterCard,
3P Surveys, Census
Information
70+ Data Partners powering Eyeota and enriching our audience signals
10. MAID
First Party Cookie
Hashed Email
Universal IDs
IP and CTV IDs
CRM data
Purchase and
Loyalty Data
Research Data
Survey Data
1. User Ingestion and Onboarding
via publishers and partners
Online
SDK, JS pixel, S2S, Image
Pixel
Offline
2. Event Data Collection
Across all touch points
Content engaged with
Social shares
Click Backs
Search events
Page views
Social media interactions
likes, shares, comments
App data
Article reads
Subscriptions
Webinar attendance
Infographic downloads
White paper downloads
Case study downloads
Registration information
Search events
Transaction Events
Survey Results
How it works (1/2)
11. 3. ID Matching
Audience Profile Creation
Proprietary HEM Pool
Proprietary Match Table
Cross Device Sources
Universal ID Sources
Hashed Email Sources
4. Validation and
Classification
Taxonomy
Audit
Validation
Screening
Scrubbing - Low Relevancy
Categorisation
Intent, Interest, Past
Purchase, Owner, Decision
Maker, Demographics etc
5. Enrichment &
Activation
Media Activation
User enriched
Daily data refresh
Enriched cohorts are used
in campaigns
How it works (2/2)
12.
13. Capturing multiple touchpoints across a user’s journey from interest to ownership
Interest Intent Purchase Directory
Declared Data
User browses an
app/website
User searches for a
specific product/service
User completes a
purchase
User fills a form or survey
or signs up for post
purchase service
User attributes are a part
of publicly available
resources eg. census
information
Events such as page views, search, clicks, social shares, transaction events etc. captured through partner and offline data
via SDK, Javascript pixel, S2S, Image Pixel, CRM & survey data, etc.
14. Classified by the traits and personas that influence the consumers’
path to purchase
Users who have demonstrated interest through activities such as
reading blog posts, news articles and answering survey responses
Users who have demonstrated an intent to buy through actions
such as product searches, configurations and comparisons
Users who have previously purchased certain brands and/or
products within the last 12 months
Users who are employed in certain industries or verticals
Users who own certain brands and/or products
Interest
Intent
Purchase
Ownership
B2B/Employment
15. Categorized by industry-led verticals and seasonal events
Arts &
Sciences
Auto B2B
Consumer
Electronics
CPG &
FMCG
Entertain-
ment
Holiday &
Events
Home &
Garden
Lifestyle
Real
Estate
Sports
Demo
Finance
Health &
Fitness
Retail Travel
16. Data Architecture
Custom Cloud Data Clean Room
Eyeota
Data
Matching Enrichment
HS Ads Server User served
an ad
Refreshed daily
Hotstar Data
● Partner data (ID, Attribute and Taxonomy) is shared in a custom cloud clean room with server level logs
● Data encrypted with SHA 256 encryption and rotating salt
● New data is added daily, old data is purged every 21 days
17. Total Matched Audiences
Total Segments Available
Total Segments for Beta
244M
1400+
650+
Unlocking affinity segments at scale!
18. Segments now available!
Pet Lovers
Engaged/
Married
Podcast
Listeners
Photography
Business Class
Travellers
Travellers to
Europe/US etc.
Two-wheelers
Interest in
frozen foods
Interest in
alcohol
Masters/PG
Students
New Movers Auto Insurance
Wedding
Planning
Home
Improvement
Video Games
And 200+ segments available for beta!
19. Pricing, Campaign Details & Guardrails
● Pricing: 1 level targeting (for beta period only)
○ Any additional layers will have a surcharge
● Ad Duration: Standard (6 secs to 60 secs+)
● Ad Format: Display/Video
● TAT for tag activation: 48 hours
● Type: Direct / PG
20. AUTO Illustrative cohorts for auto brands
Identifier Cohorts
Demographics Single, Married, Parents
Interest Auto, Maintenance, Motorcycle
Ownership Auto, Home
Intent/In-Market to buy
Auto, Maintenance, Body Style -
Luxury/Motorcycle/Hybrid
12+MN
21. BFSI Illustrative cohorts for BFSI brands
Identifier Cohorts
Demographics Married, Parents
Interest
Personal Finance (Banking, Loan, Investment, Credit
Card), Insurance (Health, Home, Life, Auto)
Ownership Auto, Home
Intent/In-Market to buy
Personal Finance (Banking, Loan, Credit Card),
Insurance (Health, Auto)
Employment Finance
21+MN
23. GAMING Illustrative cohorts for Gaming brands
Identifier Cohorts
Demographics
Single, Students, Parents,
Personal Income - High
Interest Video Games, eSports
Ownership Video Games
Intent/In-Market to buy
Video Games, Board Games, Real Money
Gaming
18+MN
24. MSFT
Illustrative cohorts for Media, Entertainment, Social &
Food Tech brands
Identifier Cohorts
Demographics
Decision Makers, Student - Masters / Postgraduate,
Job Seekers, Newly Single, New Homeowner,
Interest Podcasts
Employment Large Company
Lifestyle Social Influencers, Content Creators
10+MN
25. ONLINE
Illustrative cohorts for Online brands
Identifier Cohorts
Demographics Undergraduates, Single, Married etc.
Interest
Home Improvement, Travel, Food, Accessories,
Pharmacy and Medicine
Intent/In-Market to buy
Shopping - Fashion, Accessories, Beauty and
cosmetics, groceries, personal care, etc.
18+MN
26. CONSUMER
DURABLES
Illustrative cohorts for Consumer Durables brands
Identifier Cohorts
Demographics New Movers
Interest
Appliances, Home Improvement, Mobile Devices,
Computers and Laptops, Audio and Stereo,
Cameras and Photography, Brand - Apple, Brand -
Samsung
Intent/In-Market to buy
Computers and Laptops, Mobile Devices, Audio and
Stereo, Cameras and Photography
11+MN
27. PERSONAL
CARE
Illustrative cohorts for Personal Care brands
Identifier Cohorts
Demographics Student - Masters / Postgraduate
Interest
Beauty and Cosmetics, Personal Care, Children's
Products
Intent/In-Market to
buy
Personal Care, Beauty and Cosmetics, Shopping -
Luxury, Shopping - Fashion, Clothing - Shoes
7+MN
