Identity Graphs | Reduce Customer Acquisition Cost2021-09-30T11:06:00+00:00

11% match rate improvement with adaptive identity graphs

Created an adaptive identity 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 client is a leading IT company and 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. 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

Sigmoid built an adaptive and self-learning identity graph that will automatically map or un-map an identity to a person in near real-time. We enabled deep drill down on data for understanding the time-based behavior patterns to identify bad behaviors of lead creation.

Business Impact

Our adaptive and self-learning graph solution led to a 15% improvement in predictive power and an 11% improvement in match rate.

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

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