Modelling Propensity to use Asset Finance

Helping an Asset Finance provider get the data they need to target the businesses that will be most likely to benefit from their help.

Key facts

  1. 23,000+ Companies to model
  2. 276,000+ Datapoints analysed
  3. 156 Companies marked as Very High priority

This project was brought to us via a full service marketing agency, working on behalf of a leading UK asset finance provider specialising in the agricultural and transport sectors among others.

The end-client wanted to prioritise the work that both their marketing and sales departments were doing, and Prestanda were drafted in to create a process which could model a the likelihood that a company would benefit from asset finance now or in the foreseeable future.

Working with both the marketing agency and the client, we delivered a repeatably process which filtered over 23,000 potential companies in their core target markets into brackets of priority. A vastly more manageable 1,360 companies ended up classified as very high or high priority, with an equally important number of 11,719 marked as very low priority – those who the client would likely be wasting their time pursuing.

This propensity modelling was used as part of the process of the end-client negotiating an industry leading partnership with a global bank to ensure their growth through 2020 and beyond.

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