Dive deep into predictive household targeting.

Get the step-by-step breakdown of how a clean energy company used Faraday to target more households.


About the whitepaper

Is household-level targeting worth it?

We put it to the test.

Big-ticket home products and services tend to carry significant customer acquisition costs. To combat that, you need to prioritize likely-to-convert households.

Here, we tested out our predictive models on a direct mail campaign for the Mass Save energy efficiency program. The results? 33% lift in projected conversion rates, resulting in a $13,000 decrease in marketing costs and more than $300K saved in sales costs.

33% lift in conversion rates

when using Faraday's household-level targeting in a direct mail campaign

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