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EP1035485A2 Expired / Lapsed EP ⏱️ 0.0 years remaining

System and method for analyzing customer transactions and interactions

Assignee: NCR International Inc
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Filing: 2000-02-21
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Granted: —
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Expires: 2020-02-21
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Abstract

Abstract A system and method is provided for analyzing customer behavior based on the time when those behaviors occur. This invention captures information about customer transactions and interactions over time, classifies customers into one or more clusters based on their time-based interactions and transactions, or both, and uses this classification to perform selected target marketing and cross-selling. This is performed by temporally tagging customer transactions and interactions, analyzing the tagged information to create temporal profiles, creating advertising campaigns aimed at the temporal profiles, triggering an advertising campaign, and analyzing the effectiveness of the advertising campaign.

Inventors

  • 👤 Joanne Synowsky Walter
  • 👤 David Keith Schrader

Bibliographic Details

Application Number —
Jurisdiction EP
Data Source google_patents
Last Synchronized 2026-11-07 11:04
CPC Classifications
G; G06; G06Q; G06Q30/00; G06Q30/02; G06Q30/0241; G06Q30/0242; G06Q30/0251; G06Q30/0255; G06Q30/0269; G06Q30/0277

Claims Analysis

Total Claims: 9
Claim 1
Independent Claim 106 words
A system for performing targeted advertising based upon a customer's prior transactions and interactions, comprising: (a) input means for receiving transaction data associated with a retail transaction, wherein the transaction data includes customer information, purchasing information and temporal information associated with the transaction; (b) means for creating a temporal profile for each customer, based upon the transaction data received by the input means for one or more retail transactions; (c) means for creating a segment of temporal profiles, each segment having a set of temporal profiles with similar temporal information and similar purchasing information; and (d) means for generating an advertising campaign directed to the segment.
Claim 2
Dependent Claim 19 words
A system as claimed in claim 1, comprising: (e) means for analyzing the advertising campaign to determine its effectiveness.
Claim 3
Dependent Claim 18 words
A system as claimed in claim 1 or claim 2, wherein the input means comprises a point-of-service terminal.
Claim 4
Independent Claim 19 words
A system as claimed in any of claims 1 to 3, wherein the input means comprises a Web server.
Claim 5
Independent Claim 21 words
A system as claimed in any preceding claim, wherein the temporal information comprises the date and time of the retail transaction.
Claim 6
Independent Claim 46 words
A system as claimed in any preceding claim, wherein the temporal profile creating means comprises: (i) means for analyzing the transaction data to create a transaction profile for each customer; and (ii) means for time-wise analyzing the profile to create a temporal profile for each customer.
Claim 7
Dependent Claim 100 words
A process for performing targeted advertising based upon a customer's prior transactions and interactions, comprising the steps of: (a) receiving transaction data associated with a retail transaction, wherein the transaction data includes customer information, purchasing information and temporal information associated with the transaction; (b) creating a temporal profile for each customer, based upon the transaction data received by the input means for one or more retail transactions; (c) creating a segment of temporal profiles, each segment having a set of temporal profiles with similar temporal information and similar purchasing information; and (d) generating an advertising campaign directed to the segment.
Claim 8
Dependent Claim 21 words
A process as claimed in claim 7, further comprising the step of: (e) analyzing the advertising campaign to determine its effectiveness.
Claim 9
Dependent Claim 41 words
A process as claimed in claim 7, wherein step (b) comprises the sub-steps of: (i) analyzing the transaction data to create a transaction profile for each customer; and (ii) time-wise analyzing the profile to create a temporal profile for each customer.

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