Engagement-RFM

Using predictive segmentation to improve relevance and increase ROI

Using targeted campaigns based on segmentation is one of the best ways to improve the ROI of your email marketing.

RFM (recency, frequency, monetary) segmentation is one of the most tried and tested methods of segmentation used in direct marketing. It is based on the presumption someone’s future actions are best predicted by their past ones.

Engagement-RFM segmentation goes one step further, incorporating the rich behavioural data available to online marketers. This enables your customer analysis to be even more accurate. e-RFM segmentation allows online marketers to spend more time targeting valuable customers and waste less time and less money targeting customers unlikely to convert.

This white paper will show how e-RFM can be used to improve the accuracy of segmentation, strengthen influence and engagement and lead to increased ROI by providing the following insight:

Understand the objectives of e-RFM and how the process can be used to increase online revenue.
Learn how to effectively collect and manage your online data using e-RFM segmentation.
Discover how to effectively analyse your data based on e-RFM and how to use this data to send relevant and targeted email campaigns that will increase online conversion.

Also features client case study: Getting Personal improves year on year revenue with e-RFM.

White paper download form:

In return for completing this form you will receive the download link to the free white paper as a PDF. (Please click here if you would like to read our privacy policy.)