This document describes FACETz DMP, a data management platform that aggregates anonymous behavioral data on Russian consumers from online, mobile, social, and offline sources. It provides profiles on 65 million individuals with 90% monthly reach of the Russian population. The platform uses this data to generate insights, segments, and scores for applications like online targeting, personalization, predictive analytics, and CRM. It is leveraged by companies in digital marketing, banking, and other industries to improve targeting, targeting, customer service and drive business efficiency.

1. FACETz DMP
Audience insights at your service
FACETz DMP

2. FACETz DMP*
aggregates and synthesizes anonymous
behavioral data on most Russian consumers
Demo
Location
Preference
Intent
65 million
unique profiles
90% reach
of .RU monthly

3. FACETz DMP*
URLs visited, search and shopping
queries, files and media
downloaded and streamed
...
installs, usage, carrier,
device, geoposition
...
age, gender, status, family, friends,
likes, check-ins, subscriptions etc.
…
purchases, parking, utilities, POS,
loan applications, loyalty / points!
...
Online data Mobile Social Offline data
DemographicsLocation PreferenceIntent
avg. 25 facts per user daily 1000+ live segments
5min. recent to 3months deepfrom <1 mile, city-specific

4. Two-way CRM sync
Real-time triggers for
on-site, retargeting, email
and SMS activations
Incident-based tracking
enrichment
The Next Big Thing
ScoringDigital marketing Client Service
Efficient targeting
Content
Personalization
Contact-centre job
prioritization
Behavior-based
credibility scoring
Prediction of consumer
income or affinity
Enriching client’s own
scoring model with
behavioral data
FACETz DMP
Driving business efficiency

5. SmartData-driven marketing
FACETz DMP may return
demographics, social and
behavioral features of visitors,
which can boost engagement rate.
Use case:
Use FACETz data in your on-site
ad server or CMS module to push
specific credit offer banners or
pop-ups to visitors with specific
car brand preference in-market
for new car.
FACETz DMP may use your
offline scoring methodology and
models to perform online
scoring in next to real-time
Use case:
Before going to your contact
centre all leads may be
assigned various «scores» to
prioritize those who are more
likely to be «Sales-Qualified»
over «Marketing-Qualified».
Personalize web content
towards the interest and
behavior of your visitors
Sort and prioritize your
leads by their score in
real time
FACETz DMP is leveraged by DSPs and
similar ad tech to ensure relevant
messaging to the target audiences at
proper moments of their lives.
Use case:
You can now buy only impressions
for extremely targeted audience
groups with high affinity or explicit
interest for the product in question
and customize your messaging
based on the facets of their profile.
Minimize wastage on
your display advertising
while improving ROAS

6. FACETz returns predicted user
score and trust rank (probability)
of prediction.
Assign lead scores in
real-time based on
user’s behavioral
profile FACETz DMP offers granular
taxonomy that helps define
individual profiles to generate
client-specific bespoke
segmentation.
!
Behavioral data points may be
used alongside 3rd party data
(credit bureaus, industry-
specific data agencies and other
data providers).
Enrich scoring profile
with behavioral profile
FACETz may help you obtain
extrapolation of a given user
income level by analyzing
typical online and offline
behaviour.
!
In production the engine
may return predicted income
level id and trust rank of
prediction for every given
visitor.
Predict user
income brackets
To return the score FACETz DMP may use
different types of «IDs» to score users:
social network ID, cookie ID, hashed
contact details etc.
!
Different score prediction models are
supported (decision tree, logistic
regression, bayesian methods as well as
«blackbox» models such as
SVM, Random Forest, GBM and such)
Online Lead Scoring

7. Enrich your B2C CRM with
specific facets of consumer
behavior such as recent
intent, geolocation, brand
preference etc.
For B2B CRM you can
additionally create
aggregate profile of your
client’s organization that
can be built using collection
of individual user profiles
and features.
FACETz DMP will keep
constant track of such
triggers and inform your
platform to enable
relevant follow-up.
Examples:
Relocation, new job,
change of income
brackets
suspicious behavior or
search keywords
critical change
(reduction) of credit /
trust score
Boost efficiency of
your CRM
Follow up on your
client’s life events
Accelerate «bad
client» detection
FACETz DMP may
provide evidence-type
information for internal
corporate defense
systems.
Examples:
Geolocation
visited URLs
search keywords
social network
profiles and status
FACETz DMP analyzes patterns of
consumer behavior, tracks dependencies
between actions and events and may
predict the right moment for your
messages to help boost conversion rates.
Examples:
search for new car before applying for
a loan
jump to new income brackets —
increased affinity for bank deposit
repeated search for a new flat —
higher affinity to respond to a
mortgage offer
Identify «in-market-now»
consumers before rivals
(The Next Big Thing!)
Intelligent Customer Service

8. Testimonials
«Data-Centric Alliance’s team is cutting edge in Big Data
application development and deployment, FACETz DMP enables
access to high-quality audience-based data at scale. Both
advantages are extremely rare in Russia.»
Evgeny Isupov
Big Data Lead @ HomeCredit Bank
FACETz team helps build behavior-driven
online scoring system
✓ delivery of behavioral data
✓ online / offline data matching
«Platform capacity and behavioral data coverage provided by FACETz DMP
satisfy our need to enrich loaner profiles for our internal systems and models»
Ivan Zimin
e-business division @ Alfa-Bank
FACETz enables higher repeat sales to
active loan users, better scoring for new
loan intenders
✓ delivery of behavioral data
✓ contribution to creation of behavioral scoring model
✓ behavioral data enrichment for new leads

9. Testimonials (2)
«We haven’t just multiplied our display engagement and conversion
rates thanks to bespoke FACETz segmentation, we became capable
of mining extremely valuable consumer insights which we can now
use to deliver more relevant digital messaging»
Sergey Pervikov
Trade Marketing Director @ Urban Group
FACETz enables dramatic improvement of
display campaign efficiency
✓ delivery of behavioral data
✓ online / offline data matching
✓ look-alike data modeling
✓ real-time optimization of campaign targeting
«Data-Centric Alliance have proven to be reliable partner capable
of solving trickiest of tasks and building most sophisticated
solutions in Big Data space»
Alexey Arshinov
CEO, banki.ru
FACETz team helps builds rick management
product, uplift lead generation performance
✓ delivery of behavioral data
✓ development of behavior-driven scoring model
✓ development of income-level prediction model
✓ delivery of audience segmentation model
✓ look-alike segmentation
✓ enrichment of internal CRM with behavior data
✓ development of data-driven lead-gen campaign manager app

10. Testimonials (3)
Andrey Molev
MD at Amnet Russia
(ATD of Dentsu Aegis Network)
«… We use multiple data providers both global and local, and we acknowledge
that FACETz delivers well on our expectations of precision and coverage. It’s
now a lot easier for our clients to deploy demo, behavioral and bespoke
strategies leveraging FACETz data. And it’s critical that the data have been and
can be verified by TNS and other trusted parties…»

11. Partnership scenarios
While Label
Deployed using your
infrastructure with required level
of isolation.
D.C.A. provide technical support
to enable seamless operations,
regular system and data updates.
PaaS
Platform as a Service — deployed
using D.C.A. cloud-based
infrastructure.
FACETz DMP is accessible as an
online service with agreed SLA.
Raw data
Leverage the power and flexibility of
your own data matching and
segmentation platform and enjoy
most up-to-date user behavior
streamed straight into your DMP
Big/Smart Data
Consulting
D.C.A. experts are happy to
share the experience and
practical know-how to
facilitate the roll-out of
Data-heavy applications for
your organization
Or
Or
Bespoke segments
Brand / category preferences,
credit score / credibility, specify
intent signals, income brackets
etc.

12. Please stay in touch
Konstantin Kruglov
!
CEO & Co-founder
D.C.A. Data-Centric Alliance
!
+79267830060
k.kruglov@datacentric.ru