Digital Marketing Optimization Platform
Determine the efficiency of each marketing channel and automatically improve ad performance through neural networks.
Some statistics:
More than 5 000 000 impresions per day
Over 30 SSP integrations
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What Problem Do We solve?
Fair budget allocation in favour of effective advertising channels
Cost estimation of every session
Online and offline data merge

One more problem is people
The most of hypothesis used for forming strategies of marketing strategies are made by people on the basis of their personal opinion or cases seen in the Internet.

Most commonly these hypothesis are false as they don’t operate real-time data.

Also, a human brain is not built for error-free processing of a huge number of signals and data.
Contemporary approach
In order to know the value of the traffic attracted you don’t have to wait for a conversion, you can use a conversion predictor for estimation of the value in real time.
Maximum fair estimation of every channel
You can correctly estimate all the traffic attracted even if there was no conversion as the result session. In other words, all advertising channels working for warming up the upper part of the funnel get a fair estimation of their contribution to the marketing budget.
Kimber is forming budget management insights and strategies without human resources.
How it works: understandable workflow
Focused on ML-based performance marketing by design

Configure ads setup in real-time, based on data: faster than any manager or even programmed rules set could be
Ads management on any level: from a set to all accounts on Facebook or an Open RTB network. Works with marketing tools
for websites as well
Our analytical and predictive models detect patterns and differences in users actions: they take much less time to make a decision about changes in ads.
© 2017-2023 Kimber.ai
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  • Unit 1603, 16th Floor, The L. Plaza, 367 - 375 Queen's Road Central, Sheung Wan, Hong Kong
© 2017-2023 Kimber.ai
105082, Moscow, Bakuninskaya street 69/1 , office 3A adv@kimber.ai