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
They wanted to build an Identity Graph, which can be utilized to match identities and highlight possible signals of intent for the acquisition and retention of consumers.
Sigmoid’s Solution
Built an adaptive and self-learning graph that will automatically map or un-map 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.
