Identity Graphs2020-11-10T09:44:24+00:00

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.

For detailed understanding and solution, please download the case study here

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