Results and only results.

Traditional Model BASED ON ASSUMPTIONS vs

MAINKORE MODEL BASED ON CERTAINTIES

MAINKORE MODEL

The Mainkore model is based on reaching clients KPIs, segmenting and selecting the programmatic auctions in just 20 milliseconds, and considering more than 110 variables (sociodemographic, contextual, geographic, emotional, seasonal, family, etc.) Once the KPIs have been reached, the reporting system provides the client with the information that has been used to learn the client's needs and the model itself.

TRADITIONAL MODEL

In the Traditional Model, the client relies on specific target segmentations to achieve the desired KPI results. The problem is that the assumptions are not always accurate, and typically, only segments are based on simple sociodemographic variables without considering other variables (contextual, geographic, emotional, seasonal, family, etc.).

How does Mainkore AI manage to beat the KPis of any human trader? How does AI interact with our campaign? What is the real difference between using Mainkore Ai versus the decisions of a human trader? How fast is it? How can Mainkore Ai secure 100% of the KPIs?

All the answers are in the following video.

Mainkore Ai vs Human Trader

Play video | 1:30

How does Mainkore AI manage to beat the KPis of any human trader? How does AI interact with our campaign? What is the real difference between using Mainkore Ai versus the decisions of a human trader? How fast is it? How can Mainkore Ai secure 100% of the objectives?

All the answers are in the following video.

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Traditional Model BASED ON ASSUMPTIONS vs

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