Upravel
An advertising platform that helps clients reach their target audience
Направления
Экспертиза
Datalens
Demo powerbi
Upravel:
Our proprietary data and taxonomy with unique segments
Integration with 3rd party DMP
Integration with 3rd party DMP
- standard taxonomy
- collection of custom segments on demand to find the narrowest audience
In-APP and Web Ads
A variety of formats for any advertising campaign
Technology solution with prediction models for CPC / CPA
Attract the most effective traffic
and reach your target audience
and reach your target audience
About us
Independent advertising platform integrated
with 30+ SSPs
with 30+ SSPs
All the necessary advertising tools to maximise your reach of Russian Network
An additional tool for promoting products and services
to an existing user base
to an existing user base
How does Upravel
process data?
process data?
Identify user behaviour patterns outside the client's website.
The tool allows you to learn more about your audience and improve communication
The tool allows you to learn more about your audience and improve communication
Integration with partners to get hard ID.
Allows to target ads using data based on Stable ID, not cookies
Allows to target ads using data based on Stable ID, not cookies
Segments are formed from website's visits based on their subject matter. To get into the segment, we set the conditions:
- frequency of user visits to similar pages
- last visits to certain pages
- most frequent words on the page
- etc
DMPs provide data about your customers in many parameters:
Favorite web sites
Education
Income level
Field of work
Hobbies
Data
Retargeting
Proprietary segments based on site theme
Support segments
from external data platforms
from external data platforms
CONVERSION ANALYSIS
STABLE ID
Socio- demographic
Our clients
We work with all types of business sectors
Our partners is big advertisement agencies
Partnership
Real property
Vehicles
E-commerce
Farmacy
Telecom
Finance
Insurance
Leasing
FMCG
Entertainment
Education
Upravel purchasing technology
We analyse a wide range of parameters
and metrics to provide detailed CR optimisation and save clients' budgets
and metrics to provide detailed CR optimisation and save clients' budgets
Targeting the narrowest audience
Post click + post view conversion
Audience parameters
Metrics
- Device type and model
- OS
- Browser
- GEO
- Segment, etc.
User parameters
- Domain topics
- Location of creative placement
- Contextual description of the page (text and image → set of tags characterising the context of the page), etc.
Creative parameters
Contextual parameters
- Size
- Stats (average creative CTR for last day/week)
- Type of creative
- Content (objects on the creative)
- Context → set of tags characterising
the creative), etc.
Conversion and click probability predictor
Contextual targeting
Show ads on websites based on its content
This type of targeting shows ads on a website or app based on its content.
Contextual targeting uses data about the content
of the site where the client's ad is placed, rather than data about users and their interests
Contextual targeting uses data about the content
of the site where the client's ad is placed, rather than data about users and their interests
Detailed reports in all breakdowns for the convenience of clients
Proprietary anti-fraud
Supported traffic standards
Support any external verifiers
Proprietary tracking
Tracking helps you get information about
the quality and behavior of your audience. It allows you to allocate budget and not waste it
on ineffective sources
the quality and behavior of your audience. It allows you to allocate budget and not waste it
on ineffective sources
All necessary metrics and groups in one place
Purchasing
Parameters
Predictor uses different attributes in probability models
Cuts off requests in the auction where post click CR in a campaign is lower than the expected one.
Predicts user actions from impressions / clicks to conversions in order to lower client's CPA / CPI
Cuts off requests in the auction where post click CR in a campaign is lower than the expected one.
Predicts user actions from impressions / clicks to conversions in order to lower client's CPA / CPI
We use a wide range of languages and technologies for software development: C++, Java, Go, Python, modern DBMSs.
We pay attention to optimising products for heavy loads
and Machine Learning.
We pay attention to optimising products for heavy loads
and Machine Learning.
Upravel Mobile
Largest mobile SSPs
Target
Integration with popular trackers:
Mobile formats
App segments
Forming segments based on application usage information
Cut off content where the CTR below target
Automated model predicts probability of actions and clicks from impressions
CTR - predictor
Build-In Optimization
Mobile
Operator
GEO
Connection type(3G / 4G / wi- fi)
Market
Day/time
Bundles
OS
Device type (phone/tablet)
Categories of App Store / Google Play
Virality
Reviews
Our clients results
Online TV service with
a paid subscription system
a paid subscription system
Client
Increasing the active user base within the set KPIs
Goal
Subscription to online TV service on the website and in the app
Product
Relevant segments, as well as regular optimisation, resulted 15% lower KPI.
02
Testing various creatives within the selected segments
03
Switching off ineffective audiences/creatives
04
Google analytics optimization
(BR, PI, session duration and other metrics to attract quality audience)
(BR, PI, session duration and other metrics to attract quality audience)
05
Optimisation of technical targetings
(browsers, operation systems, SSP, devices, etc)
(browsers, operation systems, SSP, devices, etc)
06
Post-campaign analysis
Our approach
Our cases
Total conversions
Uplift CR in Performance
50,98%
Uplift Conversions
2 220
15 900
01
Finding relevant audiences for each creative ( > 40 thematic packs)
Auto Leasing Company
Client
Completion of the application on leasing
Goal
Leasing of passenger cars and commercial vehicles
Product
Total conversions
Uplift CR в Performance
61,2%
Uplift Conversions
24
Several types of spots were launched in rotation. As part of optimisation, we launched spots according to the launched targeting (leasing, cars, trucks, retargeting)
CPO fact was 15% lower than plan for fullfilled application
CPO fact was 15% lower than plan for fullfilled application
127
Optimization by
01
Targets
02
Creatives
03
Technical devices
(SSP, sites, device type, browsers, OS)
(SSP, sites, device type, browsers, OS)
04
Google analytics metrics
(BR, PI, session duration and other metrics to attract quality audience)
(BR, PI, session duration and other metrics to attract quality audience)
05
Display time, content categories, social demographic optimization
Private clinic network
Client
Attracting clients to the clinic, quality calls
Goal
Medical services
Product
Advertising campaigns were lauchned in the cities: Moscow, St. Petersburg, Perm.
Average CPA is 70% lower below client's target
Average CPA is 70% lower below client's target
Optimization by
Most effective target
01
Targeting
02
Technical tools
(SSP, web, device type, browsers, OS)
(SSP, web, device type, browsers, OS)
03
GA metrics
(BR, sessions, session duration, pages/session)
(BR, sessions, session duration, pages/session)
01
Online professional counselling
02
Online pharmacies
Saint-Petersburg
-75%
CPA
Calls
1325
Perm
CPA
-88%
Calls
2196
Moscow
-63%
CPA
1079
Calls
03
Medical insurance
04
Health and medicine
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