Customer Insights Drive Strategy

Predictive Analytics Case Study

Large Non-Profit

Large Chicago-based non-profit

Large Non-Profit

Large Chicago-based non-profit

The Challenge

A large non-profit wanted to maximize reach and return on marketing investments by better understanding and targeting its highest value customer segment, large donors.

The Challenge

A large non-profit wanted to maximize reach and return on marketing investments by better understanding and targeting its highest value customer segment, large donors.

The Strategy

Rise began by digging into the brand’s data to identify and segment its best performing customers. Appending third-party data to this group allowed for the creation of more robust profiles and a deeper understanding of their characteristics. Cluster analysis of the profiles identified the combinations of attributes and primary variables that were common among the group.

These findings were used to create a custom scoring formula that was then applied to current and potential customers in the database. Through this methodology, Rise was able to identify a correlation between the scores and an individual’s propensity to be a large donor.

The Strategy

Rise began by digging into the brand’s data to identify and segment its best performing customers. Appending third-party data to this group allowed for the creation of more robust profiles and a deeper understanding of their characteristics. Cluster analysis of the profiles identified the combinations of attributes and primary variables that were common among the group.

These findings were used to create a custom scoring formula that was then applied to current and potential customers in the database. Through this methodology, Rise was able to identify a correlation between the scores and an individual’s propensity to be a large donor.

The Results

Now, the non-profit is able to identify the new and existing customers who are 450% more likely to become large donors and better prioritize its marketing investments against this group.

The Results

Now, the non-profit is able to identify the new and existing customers who are 450% more likely to become large donors and better prioritize its marketing investments against this group.

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