There are six standard personas generated by Engagement Cloud's RFM model. They describe a set of purchasing behaviours (Recency, Frequency, and Monetary) in order to group together similar customers. These can then be used in contact segments.
The RFM personas generated by Engagement Cloud are specific to your business. Each score that powers the persona is relative to the behaviour of your entire customer base. A customer identified as Loyal for you may not be categorized in the same persona for another business.
Each standard persona is underpinned by a core purchase life cycle model, ranging from Active, Lapsing, and Inactive. This is visualized on the customer dashboard:
You will also have the ability to generate custom personas, which can be done as follows:
- Drag an RFM score block onto the segment builder canvas.
- Click Click here to choose an RFM persona, which opens the Choose RFM persona panel.
- Click the toggle to Custom in the Persona type field.
- Set the custom scoring system (any value, that is is any, an exact value, that is is equal to X, or a range, that is in between X and X) via the Recency, Frequency, and Monetary drop-downs. Please note that each dimension is scored between 1 and 5, apart from Recency, as this field is scored between 1 and 3, as it reflects a purchase life cycle model.
ImportantPlease note that we cannot guarantee that custom personas will be unique sets of customers, meaning you run the risk of having a contact in more than one custom persona. To avoid this, we recommend using a standard persona, which can be found by switching the Persona type toggle to Standard.