Dynamic Offer Code Generation for User-Specific Campaign Targeting
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Solution Overview
Problem
Existing offer codes are not dynamic and user-specific, failing to provide personalized benefits based on real-time user attributes, leading to inefficiencies in targeted marketing and potential misuse.
Innovation Solution
A system that generates user-specific and campaign-specific offer codes in real-time by analyzing user profiles, including email data and analytic events, through a backend service that determines user qualifications for merchant campaigns, ensuring unique and time-limited codes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If static offer codes are used for all users, then implementation is simple and cost-effective, but personalization and targeting capabilities are lost
Solution Approach 1:
The patent transforms static offer codes into dynamic, user-specific codes generated in real-time. The system dynamically creates unique offer codes for each user based on their profile attributes, campaign criteria, and real-time qualifications, enabling personalization while managing complexity through automated generation and validation processes
Solution Approach 2:
The system changes the parameters of offer codes from being universal and static to being user-specific and dynamic. By varying the code generation based on user attributes, campaign parameters, and qualification criteria, the system achieves personalization without requiring completely separate code structures for each user
2Reliability
If user-specific offer codes are generated in real-time, then personalization and fraud prevention are improved, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary actions by pre-establishing user profiles with relevant attributes, pre-defining campaign criteria and qualification rules, and pre-configuring offer code templates. This preparation work is done before the actual offer code generation, enabling fast real-time processing when users interact with the system
Solution Approach 2:
The system implements self-service mechanisms where user profiles automatically store and retrieve relevant attributes, campaign criteria automatically evaluate user qualifications, and the offer code generation process automatically creates and validates codes without manual intervention. This automation reduces processing time and computational overhead
3Adaptability or versatility
If comprehensive user profile analysis is performed, then offer code personalization is enhanced, but data processing complexity and storage requirements increase
Solution Approach 1:
The system extracts only the essential and relevant user profile attributes needed for offer code generation, such as demographic information, purchase history, and campaign-specific qualifications. By taking out only the necessary data elements rather than processing entire user profiles, the system achieves precise targeting while minimizing data storage and processing requirements
Data Source
AI summary
In one embodiment, a method includes providing, to a client device of a user, an interactive UI element on a webpage of a merchant and receiving an identification that the user has interacted with the UI element. The method further includes, in response to the identification that the user has interacted with the UI element, then determining, based on a profile of the user, whether the user qualifies for one or more merchant-specific campaigns associated with the merchant; in response to a determination that the user qualifies for one or more merchant-specific campaigns, then dynamically generating (1) a campaign-specific offer code and (2) an associated expiration duration for the campaign-specific offer code; and updating an offer-code database of the merchant with (1) the dynamically generated campaign-specific offer code and (2) the expiration duration for the campaign-specific offer code.