DATA MANAGEMENT & MONETIZATION PLATFORM
Ready-made solution for your own DMP/CDP platform implementation and audience data monetization
DATA MANAGEMENT & MONETIZATION PLATFORM
DMPkit is a ready-made solution for your own DMP/CDP platform implementation and audience data monetization
Your own on premise DMP/CDP platform
DMPkit is a platform for building a customer data management system in order to solve the problems of marketing communications, analytics and building your own solutions in terms of collection, storage and processing of audience data.
- Personalized communications by deep integration with all data sources
- 360° user profiling with unique attributes and characteristics
- Customer Journey tracking and micro-segmentation
- Synchronization of omni-channel marketing channels
- AI-based recommendation system
- Look-alike based on micro-segments
- Your audience data monetization
Unifying of data collection
of as much customer data as possible from different sources (web-site, mobile app, CRM, transactional system, etc.)
Data processing
bringing a set of all available customers and audience data from different sources to a single view
Identification of users
and their devices in all possible channels, linking Customer Journey from various sources, matching identifiers.
Deep data mining
use of Machine Learning models for predictive analytics. A single access to all audience data for experiments.
Audience segmentation
determining the client/visitor's hit in the segment based on the described rules.
Segments activation
for marketing communications, segments update in customized advertising channels.
IDENTIFY THE USER AND CONNECT THE DATA
from different sources, different times and different contact points.
CAPTURE ALL EVENTS OF THE
CUSTOMER JOURNEY
CUSTOMER JOURNEY
to create audience segments in real-time
IDENTIFY THE USER AND CONNECT THE DATA from different sources, different times and different contact points
CAPTURE ALL EVENTS OF
THE CUSTOMER JOURNEY
to create audience segments in real-time
THE CUSTOMER JOURNEY
to create audience segments in real-time
DMPkit architecture
1
Data collection
- Online data collecting: Web site;
- Offline data collecting: CRM, Mobile Aps, Call Centre.
2
Data processing
Creating of a single 360 user profile with a set of attributes based on the collected data.
3
Data activation
Segments creation in automatic mode and onboarding to external systems.
- API
- Tag Manager
- File Import
- Mobile SDK
- Event Data Pre-Processing
- Merge (ID-Graph)
- Segmentation
- Statistics
- Map Reduce
- Spark / pySpark
- Real-time API
- Customer Profile
- Customer Journey
- Taxonomy
- Segments
- 1DMC Onboarding
- File Export
- Custom Integratio
- Tag Manager
- Audience Manager
- Taxonomy Manager
- Organization Manager
- Integration Manager
- File Manager
- ML Model Manager
TECHNOLOGIES IN USE
Key benefits
READY-MADE INTERFACES AND PROTOCOLS FOR INTEGRATION WITH DATA SOURCES
Unification of the collection of the maximum possible amount of customer data. The platform collects and stores data of profiles and events in a unified form in the Hadoop-based storage, which allows you to seamlessly scale the system linearly with the growth of data.
- DMPkit Tag Manager
- MobileSDK
- Real-time API
- Data collection form web-site, mobile apps, CRM, etc.
INTEGRATION WITH DATA ACTIVATION AND MONETIZATION CHANNELS
Key advertising systems are connected. Send your audience segments into the advertising systems and DSPs to run campaigns.
- A single point of inegration, ID synchronization and billing.
- Data safety by sending IDs without audience data and segments details
- The ability of export into CSV file for ad-hoc analytics and connection to other services.
RUN YOUR INDIVIDUAL ANALYTICAL MODELS
Using of analytical data processing models allows you to extract new knowledge about the audience, increases the efficiency of client relationship management, increases client loyalty, improves cross-sales, microsegmentation and scoring models.
- Data acces for data analysts.
- Support of experiments with Machine Learning
- Predictive analytics based on Customer Journey
CONFIDENTIALITY AND PERSONAL DATA SAFETY
Implementation options:
- On premise (in-house) on a basis of customer's IT infrastructure.
- Dedicated cloud (Amazon WebServices, Google Cloud, Oracle).
- SAAS on CleverDATA servers.
Solutions that use DMPkit
Audience data monetization
Maxima-Telecom (wi-fi operator)
Improving of customer acquisition efficiency
Dentsu Aegis Network
Direct marketing communication improving
S7 Airlines
Audience data monetization
DMP IMPLEMENTATION FOR WIFI OPERATOR
Maxima-Telecom - international operator of a single Wi-Fi-space in public transport.
DMPkit solve the problem of user data collection from various sources of the operator's network and data processing. Using the DMPkit we cofigured the process of audience segmentation and automated the data delivery to the operator's advertising platform of MT_CITY.
On the basis of all the aggregated data about the operator's wi-fi network users there detailed user profiles with a set of different characteristics are formed (such as gender, age, interests, work and home station, etc.) All these data allow to form audience segments to run targeted online ads via MaximaTelecom platform MT CITY.
DMPkit solve the problem of user data collection from various sources of the operator's network and data processing. Using the DMPkit we cofigured the process of audience segmentation and automated the data delivery to the operator's advertising platform of MT_CITY.
On the basis of all the aggregated data about the operator's wi-fi network users there detailed user profiles with a set of different characteristics are formed (such as gender, age, interests, work and home station, etc.) All these data allow to form audience segments to run targeted online ads via MaximaTelecom platform MT CITY.
IMPROVEING OF CUSTOMER ACQUISITION EFFICIENCY
DMP IMPLEMENTATION FOR CLIENTS OF DIGITAL ADVERTISING AGENCY
Dentsu Aegis Network Russia group is a representative office in Russia and CIS of the international network Dentsu Aegis Network, includes such media agencies as Carat, Vizeum and Ad O'clock, digital agencies AdWatch Isobar and Traffic Isobar, Posterscope, performance marketing Agency iProspect, AMNET company providing services for the purchase and sale of digital advertising (RTB).
DMPkit solve the problem of collecting and processing of user data from agency's customers websites. Generated user profiles are enriched with external data through the 1DMC data exchange connected to the platform. After that the Agency creates audience segments and sends them to the advertising platforms (Google DoubleClick, Yandex, myTarget) to run advertising campaigns.
DMPkit solve the problem of collecting and processing of user data from agency's customers websites. Generated user profiles are enriched with external data through the 1DMC data exchange connected to the platform. After that the Agency creates audience segments and sends them to the advertising platforms (Google DoubleClick, Yandex, myTarget) to run advertising campaigns.
DIRECT MARKETING COMMUNICATION IMPROVING
CDP IMPLEMENTATION AND RECOMENDATION ENGINE FOR AIRLINE COMPANY
S7 Airlines — international airline, is a member of the global aviation Alliance "Oneworld" and operates flights to 150 countries. In addition to the air tickets sales the company provides various aviation services and specializes in space rocket launches.
Clever DATA has successfully completed a project for S7 Airlines to organize and develop a recommendation system based on consumer behavior data.
CleverDATA specialists organized a process of centralized collection of consumer data from a large amount of S7 Airlines internal data sources, successfully implemented a tag management and analytics system.
In addition, the CleverDATA data scientists developed and tested a set of machine learning models to determine recommendations.
The tests of recommender engine and analytical models built by CleverDATA experts showed positive results and high efficiency.
Clever DATA has successfully completed a project for S7 Airlines to organize and develop a recommendation system based on consumer behavior data.
CleverDATA specialists organized a process of centralized collection of consumer data from a large amount of S7 Airlines internal data sources, successfully implemented a tag management and analytics system.
In addition, the CleverDATA data scientists developed and tested a set of machine learning models to determine recommendations.
The tests of recommender engine and analytical models built by CleverDATA experts showed positive results and high efficiency.
WE UNITE AI & BIG DATA IN A UNIQUE SOLUTION TO MAXIMISE EFFECTIVE DATA MANAGEMENT AND DATA MONETIZATION
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