ASUS: Achieving Record Conversion Rates by Combining First-Party Data and Machine Learning

Implementing a distinctively dynamic and assertive communication strategy towards high conversion-probability users is at the core of this methodology.

Improving media strategy by identifying customer profiles

Rating individual users by applying machine learning to first-party data

Our data-driven Machine Learning solution allows for rating individual users through a variety of comprehensive signals, like session depth, engagement rate & conversion probability, which would have been highly complex and time-consuming to accomplish through manual work.

Implementing a distinctively dynamic and assertive communication strategy towards high conversion-probability users is at the core of this methodology. Using digital signals to identify high-value clients early in the process, media budgets can prioritize audiences with the highest purchase potential. For example, as shown in the image below, visitor #2 is highly likely to complete a purchase; accordingly, ASUS should set bidding prices higher and implement a more assertive communication strategy for this user.

ROAS improvement and optimized budget planning