Commercial Insurance

Case Study: Predicting Churn for an Insurance Brokerage with Machine Learning

In Q4 of 2018 Relativity6's platform identified lapsed customers with 85% accuracy, and reactivated approximately 1% of our clients' overall book of business.

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In Q4 of 2018 Relativity6's platform identified lapsed customers with 85% accuracy, and reactivated approximately 1% of our clients' overall book of business.
Financial Services

Case Study: Increasing Conversion Rates for Financial Services with Artificial Intelligence

Relativity6 worked with a global banking partner to segment customer behaviors by engagement propensity and activity.

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Relativity6 worked with a global banking partner to segment customer behaviors by engagement propensity and activity.
P&C Insurance

Case Study: Reducing Churn for an Insurance Carrier with Artificial Intelligence

Relativity6 deployed Marvin Platform to generate predictive analytics from policy, claims, transactions, interactions and external data sources

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Relativity6 deployed Marvin Platform to generate predictive analytics from policy, claims, transactions, interactions and external data sources
P&C Insurance

Case Study: Increasing Insurance Retention Accuracy with Artificial Intelligence

An insurer with over $1B in Direct Written Premiums, was experiencing a steady increase in policy churn rates over time, as well as an increasing trend of lapsed policies.

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An insurer with over $1B in Direct Written Premiums, was experiencing a steady increase in policy churn rates over time, as well as an increasing trend of lapsed policies.

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