This document describes a data marketing company that provides targeted digital advertising services. It offers access to global audiences across hundreds of millions of mobile users and places ads on thousands of websites and apps. The company uses proprietary consumer data and machine learning algorithms to optimize ad campaigns for goals like clicks, leads, downloads or cost per action. It offers both self-service and managed service models, and provides features like audience targeting, retargeting, video ads, and real-time reporting.

1. Data Marketing

2. What we do
Sales
Funnel
Conversion
Audience
Engagement
Performance Branding

3. Access a global audience
100’s b
available
impressions
10’s k
sites/apps
Millions
of proprietary
consumer data
points
Global
reach
100’s m
monthly unique
users
1000’s
decisions made
per second by
algorithms

4. Single buying point
Demand Supply
State-of-the-art
data marketing

5.  Access the entire mobile RTB
market from one place
 Audience targeting options;
hyperlocal, demographic etc .
 Brand safety; cherry-pick
publishers or create whitelists
 Third party ad serving and tracking
 Support for rich media, video and
native
 First party and third party data and
audiences
Branding
Audience and engagement
1

6. Clicks Leads Downloads
Performance
Optimize to CPA
MACHINE LEARNING ALGORITHMS BIG DATA
2
Native Video HTML5

7. Service models
Self-service
 Web based
 Advertiser has full control
 Advanced tools
 Real-time reporting
 Account Management support
Managed service
 Account Management team
 End-to-end service
 Email / Skype contact
 24/7/365 operations

8. Audience targeting
Country
Location
Device
Carrier/
WiFi
Day
parting
First party
Data
via RTB
Third party
data

9. Advanced features
Frequency
capping
Retargeting
using advertiser
segment lists
Retargeting
using first
party data
Third party
ad serving
(e.g. DoubleClick,
Celtra)
Third party
tracking
(e.g. HasOffers,
AdX)
Whitelists /
blacklists
Real time
reporting
Audience
buying via
user interface

10. Hyper local geo-targeting options

11. Create whitelists

12. Optimize sales funnel
Awareness Interest Desire Action
100% views 2%-4% 4%-7% 4%-6%
How mobile
can drive
different
stages in the
sales funnel

13. DSPs are built for delivering results
Campaign example
 CPA objective: $2
 CPA achieved: $1.95
 CPA stabilizies after initial learning phase
 CPC changes dynamically
 CPA grows with time
 As algorithm optimizes the bidding, it doesn’t care
about increasing eCPM or eCPC as long as CPA is
maintained at its objective and volume is maximized

14. Rich media delivers brand interaction

15. Auto-play video advertising
Goal
Generate awareness and
interest in going to see the
Yogi Bear film.
Action
Auto-play mobile video starts
playing
Metrics
Measuring average view times
and number of completed
views. Platform optimizes on
these KPIs

16. Retargeting abandoned carts
Goal
Target users who drop off
before making a purchase
Action
Collect UDIDs for users who
abandon carts
Metrics
Conversion rates for retargeted
users

17. Action
One click on banner for
consumer redeem a coupon
which is sent by text message.
Goal
Target consumers within
specific USA regions.
Metrics
Consumer redeems coupon in-
store at POS.
Getting users to order pizza’s

18. Self-service – Create campaign

19. Self-service – Add creatives and
optimization mode

20. Self-service – Add targeting

21. Self-service – Reporting

22. Data Marketing