Find your people

Velocidi provides Acquisition Campaign Recommendations that use a machine-learning model to recommend multi-dimensional audience segments to use in prospecting campaigns. Based on currrent customer behavior and purchase data, this model identifies commonly used audience parameters that you can use on external platforms to find customers similar to those who are already converted.


Detect similar groups of people

Our acquisition campaign recomendations are an alternative solution for when your ad platform does not provide lookalike modeling. A machine learning model is used to detect similar groups of people using attributes available on most ad platforms, such as locations, demographics, and devices.

Aside from the segment parameters, you’ll also see what percent of your customer base each audience represents, and how well we predict each segment will perform. This will help you decide how much budget to invest in each audience. All you need to do is apply those audience parameters to your campaigns and see how they work.



Without lifting a finger you get automatic insight into the audiences that are resonating with your brand the most.



Know the exact segment parameters, and how each audience is predicted to perform.



Spend less time guessing, more time testing and getting results.

Explore more solutions

Timely Re-engagement

Likelihood to Buy

CLV Attribution

Acquisition Campaign Recommendations

Start growing your brand now

Get a demo and learn how Velocidi makes machine learning accessible to DTC brands and eliminates guess-work from marketing.