11% match rate improvement with adaptive identity graphs
Created an adaptive consumer graph that automatically maps or un-maps an identity to a person in near real-time, maximizing customer acquisition and retention across markets
Business Challenges
The current computation time for creating graphs was too high, coupled with a lack of a well-defined testing framework to understand the quality of the identity graph and benchmark improvements.
Sigmoid’s Solution
Built an adaptive and self-learning graph that will automatically maps or un-maps an identity to a person in near real time.
Business Impact
Our adaptive and self-learning graph solution led to 15% improvement in predictive power and 11% improvement in match rate.
