Datacratic - Machine Learning

Business Impact of Machine Learning

James Prudhomme, CEO Datacratic

Objectives / Agenda

• About Datacratic

• What is Machine Learning?

• Machine Learning as a Cloud Service

• Key Trends Driving Adoption

• Democratization of Machine Learning

Will AI become our overlords? Do robots need to use keyboards?

What is Machine Learning?

Machine Learning as a Cloud Service

Trends Driving Adoption of Machine Learning

Big Data Needs Machine Learning

Machine Learning Powered by Datacratic

Objective:

• Improve campaign performance by increasing click through rates and

optimizing ad spend for an existing online consumer telecom campaign.

Solution:

• Score users in 1st and 3rd party datasets based on their past behavioral

patterns and their likelihood to click on the ad.

• Create audience segments using precision targeting to focus exclusively on

the highest scoring audience members who are highly likely to click.

Results:

• Exclusively targeting audience members who scored in the top:

– 37% - resulted in a demonstrated CTR lift of of 77%

– 26% resulted in a demonstrated CTR lift of over 90%

Lotame Optimizer Consumer Telecom – 77 to 97% CTR Lift

Machine Learning Powered by Datacratic

Case Study: Leading Software Retailer Increases ROI 118% With Look-alike Modeling

• Challenge

– A top software company was looking to efficiently increase sales and improve the ROI from their display advertising campaigns

• Solution

– To effectively segment audiences, they created look-alike models based on their top customers and targeted these consumers with their media buys

• Results

– Look-alike model targets had the best ROI; 118%

– Outperforming the campaign average by 64% & control group by 104%

Datacratic look-alike models result in a 118% increase in ROI

Campaign ROI

Look-alike Targets 118%

Non Look-alike Targets 14%

Total Campaign Average 54%

Disruptive Impact on Business

Democratizing Machine Learning

Thank You. @Datacratic

Datacratic - Machine Learning

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