This document summarizes the services of OnAudience.com, a data exchange platform that provides big data tools and anonymous user profiles for digital marketing. Some key points: - OnAudience.com has one of the largest data warehouses in the world with over 12 billion anonymous user profiles from 200 global markets. - They classify data into segments like interests, intents, demography, and behaviors using machine learning algorithms. This segmented data can be used for personalized ads, targeting, and reaching new customers. - OnAudience.com verifies the quality of their data through independent sources like Nielsen and confirms their data quality and accuracy. - User profiles are created by anonymously collecting and analyzing data about

1. Data Exchange
leading 3rd party platform

2. Get to know OnAudience.com
Big Data tools and services for digital marketing
One of the biggest warehouses in the world, including 12 billion user
profiles from 200 markets globally
A part of Cloud Technologies group - one of the fastest growing tech
company in Europe

3. OnAudience.com data coverage

4. OnAudience.com data
Anonymous profiles
12 B+
Markets from which
we collect data
200+ 650+
Mobile and desktop
segments

5. How you can use OnAudience.com data?
Personalized ads &
messages
Precise targeting
Reaching out to
new customers

6. OnAudience.com provides 5 types of segments’ classification
Geolocalization
Interest
Intents
Mobile
Demography

7. OnAudience.com data taxonomy
3rd Party Data
Desktop
Mobile
Interests
Intents
Demography
Behavior
Demography
150+ segments
500+ segments
in compliance with IAB standards
145 segments

8. OnAudience.com’s data
Using independent market standard Nielsen Digital Ad Ratings we run
a test of our demographic data that has been used in online
campaigns.
Quality of our data overtook benchmark
levels of 20 to nearly 50 percentage
points. By using high quality data in
programmatic campaigns, marketers
improves its effectiveness.
Verification of data quality for specific segments
Declarative data GfK, IQS and Nielsen DAR mid-market values
significantly above mid-market values prepared by Nielsen.

9. OnAudience.com’s data quality
confirmed by Nielsen.
Size and quality of Men and Women segments in Poland
Extrapolated data

10. How user profiles are created?
When conditions are met, then user is signed to segments
Gathering anonymous data about web users
Analyzing url and whole content of visited websites
Categorizing content in terms of IAB standards by algorithms of machine learning
Elimination of information noise and irrelevant events (accidental clicks and opened sites are excluded)
Multidimensional analysis of features, to make classification based on taxonomy

11. We use advanced machine learning algorithms
Information gathering process is based on cookies, fingerprinting and Mobile Advertising IDs like IDFA or AAID
Data signals such as page views, urls, words and phrases, frequency and time spend on digital content are collected as user
connected data point accordingly to their weights determined by relevancy and accuracy.
Whenever users read certain phrases which match algorithm settings Audience Segment is adapting and
changing accordingly pool of IDs allocated to it.
Our team uses advanced machine learning methods:
● K-means clustering
● Extreme Gradient Boosting
● SVM
to precisely segment your customers.

12. Audience report insights about your customers
Audience reports gives you deep knowledge about users who saw your
ads and clients who visited your website
5 levels of codes implementation:
● implementation in impression code
● implementation in banner click
● redirect to website
● conversion start
● conversion end
valuable insights about your customers.

13. How to use Audience reports?
● The main reason to use Audience reports is to set a proper
targeting before or during the campaign. Thanks to this knowledge
we can tell, if campaign should be set, for example, with higher
priority on “beauty” segment and lower priority on “health”
segment
● The solution seems to be an easy thing but it gives us a huge
knowledge and we can share it with client
● As a result of all this actions, system will let us create a dynamic
segments, which will include twin profile (look-alike). That will
make possible to target users profiles, which are new clients of
specific store, provider, operator

14. Take advantage of Geotrapping
● Based on GPS signal we can gather audiences from events or
places all around the world i.e. airports, stores, concerts.
● What you get is an opportunity to display an AD to the mobile user
that shows higher probability of conversion.
● As an example we can gather football fans from Premier League
stadiums and shown them relevant ads i.e. sport, drinks, bets.
● Have another idea? We are more then welcome to hear your
suggestion.

15. Processing data on DMP platform
● all collected data is subjected to anonymization process
● all data is available on one platform
● we do not collect any Personally Identifiable Information
● we support Opt-Out mechanism
● we respect Do-Not-Track headers send by web browsers
● we comply IAB standards
Data on DMP platform is processed in compliance
with GDPR regulation:
in compliance with GDPR.

16. OnAudience.com’s data
is available through global DSP platforms
Our segments are available through global DSP
platforms as branded data. You can find
OnAudience.com data on:
● Adform
● Oracle
● DoubleClick
● MediaMath
● Adobe
● AppNexus

17. Thank you!
Contact us for more details
sales@belogic.co