Offer Targeting System Using Counter-Based Group Sorting
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current systems for offer targeting in financial companies face challenges in accurately matching the number of offer insertions with requested volumes, leading to over-targeting high-priority offers and under-targeting low-priority ones, due to inefficient management processes.
Innovation Solution
A method and system for offer targeting that maintains an offer counter for each group, assigns offers based on pre-qualified groups using business rules, increments counters, and sorts groups by these values to ensure accurate distribution, while applying lift percentages to adjust available accounts for optimal insertion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If offers are assigned in simple sequential order to customer groups, then the assignment process is simple and fast, but high-priority offers may be over-targeted and low-priority offers may be under-targeted
Solution Approach 1:
The system performs preliminary actions by pre-calculating and storing offer counter values for each customer group before the actual offer assignment process. This preliminary calculation ensures that when offers are assigned, the system can quickly reference pre-computed counters to maintain both speed and accuracy, preventing over-targeting and under-targeting issues.
Solution Approach 2:
The patent replaces complex mechanical sorting and reassignment processes with a computational system that uses offer counters and mathematical calculations. Instead of physically reordering offers or customer groups multiple times, the system uses algorithms to calculate optimal assignments based on counter values, lifting percentages, and offer priorities, achieving precision without mechanical complexity.
2Manufacturing precision
If the system reassigns offers multiple times to achieve accurate distribution, then offer targeting accuracy improves, but processing time and computational resources increase
Solution Approach 1:
The system maintains continuous useful action by using offer counters that are updated and maintained throughout the offer assignment process. Rather than starting fresh with each assignment cycle, the counters persist and are incrementally updated, allowing the system to maintain accuracy across multiple offers without reprocessing the entire dataset each time.
Solution Approach 2:
The patent changes parameters dynamically during the assignment process by adjusting offer counters based on lifting percentages and offer priorities. The system modifies these parameter values to reflect current assignment states, enabling accurate distribution in a single pass through the data rather than requiring multiple reassignment cycles.
3Manufacturing precision
If the system uses complex business rules to qualify customer groups for offers, then offer targeting precision improves, but system complexity increases
Solution Approach 1:
The system segments the complex offer management process into distinct, manageable components: customer group qualification based on business rules, offer counter maintenance, lifting percentage calculation, and offer assignment. Each segment handles a specific aspect of the process independently, making the overall complex system manageable and maintainable while preserving precision.
Solution Approach 2:
The offer counter serves as an intermediary element between the complex business rules and the final offer assignment. It translates the outcomes of complex qualification rules into a simple numerical value that can be easily used for sorting and assignment, bridging the gap between complex decision logic and simple execution.
Data Source
AI summary
A system and method for offer targeting is disclosed. According to one embodiment, a method for offer targeting may comprise: providing a plurality of offers and a plurality of groups, wherein each group comprises one or more accounts; maintaining an offer counter for each of the plurality of groups; and assigning the plurality of offers, in a predetermined order, to the plurality of groups by repeating the following steps: (1) assigning an offer to one or more groups, wherein the one or more groups are selected from groups that are pre-qualified for the offer based on a plurality of business rules, and the selection of the one or more groups is based at least in part on the offer counters of the one or more groups; (2) incrementing offer counters associated with the one or more groups; and (3) sorting the plurality of groups based on the incremented offer counters.