What is Household Analytics?

Household analytics provides insurance carriers and agents the ability to view and understand the portfolio dynamics at a household level instead of just at the individual level. Household analytics allows you to:

• Identify connected individuals across multiple policies
• Identify the relationships between these individuals
• Run campaigns involving households as well as individual customers

Offers for households can be different from the offers for individuals.

Once you have a clear view of a household, you can determine which offers are the best fit for each individual or family.  Householding can also assist in identifying customers who may be at risk for non-renewal and provide the opportunity for early prevention. 

Focus on Your HNI Customers

HNI customers are your most valuable customers and, as a result, require extra focus and attention.

These affluent accounts need to be handled very diligently; a high-end customer account can continue to grow, and they require and expect exceptional services.

While the proportion of HNI policies in a typical portfolio is less than 10%, their share of the overall active premium is upwards of 30%

By having household analytics, you can remain in control and ask the appropriate questions to protect the client and their families. Stand out by customizing service offerings to meet the unique challenges and prevent any disruption to the household.

HNI clients are solid contributors to a life insurance portfolio and can be made more profitable by using specially designed strategies. These top-tier accounts may be contributing more than 30% of your overall active premium.

In a typical life insurance portfolio, up to 40% of the policies may belong to multi-policy households.

Use Cases for Household Analytics

Household Analytics can help insurers reduce costs while maintaining profitable books of business.

• Product Recommendations - Identify appropriate products for a household.
• Retention and Cross-sell - Knowing which products are relevant to an existing customer based upon their household portfolio and current life stage is key.
• Avoid Disrupting a Household - Not understanding the dynamics of a household can unintentionally have a negative effect.
• Risk Assessment - Householding can help the underwriting team by giving them a view of the insurer’s overall exposure to a household.

Household Analytics can help insurers understand their customers better and therefore be able to provide the proper consultation and expert advice necessary for the entire household.

Household Analytics is essential to build brand loyalty, increase revenue and drive profits.

Find out how CRUX helped this insurer gain valuable insight into customer behavior based on unique groupings of customers.