DETERMINING BEST TIME TO REACH CUSTOMERS IN A MULTI-CHANNEL WORLD ENSURING RIGHT PARTY CONTACT AND INCREASING INTERACTION LIKELIHOOD
First Claim
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1. A method for predicting likelihood of reaching a customer in a time period, comprising:
- receiving a first set of historical customer contact data;
estimating a statistical model which computes a score for determining a successful contact with the customer for the time period based on the first set of historical customer contact data;
receiving a second set of historical customer contact data associated with at least one customer; and
providing the score of a successful contact for said at least one customer based on the second set of historical data and the estimated statistical model.
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Abstract
Estimating best time to contact a customer may include estimating a statistical model which computes a score for determining a successful contact with the customer for the time period based on a first set of historical customer contact data. A second set of historical customer contact data associated with at least one customer may be received and the score of a successful contact may be provided for the customer based on the second set of historical data and the estimated statistical model.
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Citations
25 Claims
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1. A method for predicting likelihood of reaching a customer in a time period, comprising:
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receiving a first set of historical customer contact data; estimating a statistical model which computes a score for determining a successful contact with the customer for the time period based on the first set of historical customer contact data; receiving a second set of historical customer contact data associated with at least one customer; and providing the score of a successful contact for said at least one customer based on the second set of historical data and the estimated statistical model. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15)
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16. A system for predicting likelihood of contacting a customer in a time period, comprising:
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a processor; a statistical model operable to run on the processor, the statistical model estimated based on a first set of historical customer contact data to compute a score for determining a successful contact with the customer for the time period; a prediction module operable to receive a second set of historical customer contact data associated with at least one customer, and provide the score of a successful contact for said at least one customer based on the second set of historical data and the estimated statistical model. - View Dependent Claims (17, 18, 19, 20, 21)
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22. A computer readable storage medium storing a program of instructions executable by a machine to perform a method of predicting likelihood of contacting a customer in a time period, comprising:
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receiving a first set of historical customer contact data; estimating a statistical model which computes a score for determining a successful contact with the customer for the time period based on the first set of historical customer contact data; receiving a second set of historical customer contact data associated with at least one customer; and providing the score of a successful contact for said at least one customer based on the second set of historical data and the estimated statistical model. - View Dependent Claims (23, 24, 25)
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Specification