E-Mail Marketing Tipps

Response modeling in most cases means mapping past reactions of your subscribers using statistical algorithms in a way that the outcome for each recipient (e.g. click or no click, open or no open, …) is explained by several explanatory attributes (e.g. age, email’s remote part, salutation, …). Such a view may help marketers, among other things, to …

• simply get a better understanding of what was going on under the surface of the last campaigns;
• predict the outcome of future email actions for specific segments.

Of course, open, click, and bounce rates are good and valuable performance indicators. However, they don’t tell you at once for example what groups of recipients showed more clicks and opens than others. And this would be a really interesting insight that holds great potential for optimizations. Decision tree models provide one easily interpretable representation of such mapped response behaviour. Let’s look at a practical example and explore how we could possibly make more of our data. Continue reading →