Segment based on an RFM analysis Are you, Telemarketing List, still sending the same newsletter to your entire database? Then stop that! The one-size-fits-all strategy is passé. We see that ratios of segmented newsletters are much higher than for the Telemarketing List general variants. For example, we generate open ratios for one of our customers with Telemarketing List segmented newsletters that are 40 to 50% higher than general variants. As Telemarketing List we described earlier, (hyper) personalization is becoming the norm.
Admit it, it's annoying to be presented Telemarketing List with irrelevant content. So make sure you segment. And that can be done in several ways. You can segment by explicit data. Think of demographic characteristics, geographical characteristics Telemarketing List or interests and preferences, indicated by the recipient. But there is also another way Telemarketing List in which you can segment that is particularly interesting for e-commerce organizations, namely based on an RFM analysis.
In an RFM analysis, you determine Telemarketing List which customers from your current database receive the highest value and which receive the lowest value on the basis of the purchasing behavior of consumers. RFM stands for Telemarketing List recency, frequency, and amount spent per order ( monetary value ). Email recency, frequency and monetary. In short, this comes down to the historical amount a consumer ordered over a period of time, depending on the amount of data available and the product being sold.
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