Look-alike scoring

Target look-alikes based on your customer and activation data

Your needs

- Identify the profiles of actual consumers and high-potential prospects
- Search for prospects based on your best customers
- Reach out to targets you can activate by post, email, mobile, and display

Our services

Look-alike scoring is a modeling method that can be used to identify “statistical twins” in a brand’s customer database.

Machine learning is applied to 1,500 behavioral variables:
- Product categories and centers of interest from 600 brands
- 11 million subscribers in the print media industry
- 5 million children with dates of birth


- Achieve high conversion rates
- Fast and easy to implement
- Cost-effective

2017 results

More than 300 active customers
A pool of several million look-alikes