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The Scores page, found at /app/scores, shows purchase-based scores for the contacts in your workspace. These scores help you understand the relative value and engagement level of your customer base so you can prioritize your outreach and tailor your messaging.

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How RFM scoring works

SendWhale uses the RFM model to score contacts:

Recency

How recently the contact made a purchase. Contacts who bought recently score higher on recency.

Frequency

How often the contact purchases. Repeat buyers score higher on frequency.

Monetary

How much the contact has spent in total. Higher lifetime spend produces a higher monetary score.
Each contact receives a combined score across these three dimensions. SendWhale then groups contacts into named customer segments based on their scores.

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Customer groups

Contacts are automatically placed into groups based on their RFM profile. Examples of groups include:
  • Champions — bought recently, buy often, and spend the most
  • Loyal — purchase regularly and respond well to campaigns
  • At Risk — were previously active but have not purchased recently
  • Lost — have not purchased in a long time and score low across all dimensions
The exact group names and thresholds are shown on the Scores page for your workspace.

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Prerequisites

RFM scores require order data linked to your contacts. To see scores, you must have:
  1. An e-commerce platform, CRM, or data integration connected to SendWhale that provides purchase history
  2. Order records associated with contact email addresses in your workspace
If no order data is available, the Scores page displays an empty state with guidance on connecting a data source.

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Data freshness

Scores reflect the most recent order data available in your workspace. There may be a short delay after new orders arrive before scores are recalculated. If you have recently connected an integration or imported order data, allow time for scores to update.
RFM scores are derived from real order data you have connected to SendWhale. They are not AI predictions, lead scores, or guarantees of future revenue. Score accuracy depends entirely on the completeness and accuracy of the order data you have integrated.

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Amounts and currencies

Monetary values on the Scores page are displayed in the currency provided by your connected data source. If your order data contains multiple currencies, review your integration settings to understand how values are normalized.