Powered by restaurant specific data science and machine learning, Smart Properties bring Guest Lifetime Value and predictive analytics into Segments. These 10+ supercharged segmentation options put the power of Guest Lifetime Value data and predictive analytics in your hands.
Note: You must have an active payment processor integration for these to return any results.
Accessing Smart Properties
To access Smart Properties, navigate to: Audience --> Segments --> Create Segment --> Properties
Available Smart Properties
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RFM Quantile
- Combined rank (high-to-low) of a guest’s Recency, Frequency, and Monetary Spend
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Preferred Location ID
- Wisely Merchant ID for the guest’s most frequently & recently visited location
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Preferred Location Name
- Name of the guest’s most frequently & recently visited location
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Historical Spend Annualized
- Annualized historical spend, from the guest’s first visit to the current date
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Predictive GLV
- The predicted spend for the next year of this guest’s activity, based on a predictive model
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Total Card Swipes
- Total credit card transactions made by this guest, captured via processor integration
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Days Since Last Card Swipe
- Number of days since the last credit card transaction made by this guest and captured via processor integration (1-2 day delay on processor data)
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Average Days Between Card Swipes
- Average number of days between credit card transactions made by this guest
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Total Card Spend
- Total amount spent by this guest via credit card transactions
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Six Month Churn Risk
- Predicted likelihood that this guest will churn six months from now without intervention