Coupon Effectiveness Indices Causal Modeling
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Solution Overview
Problem
Current coupon redemption models are too simplistic and often provide coupons to customers who would have purchased the product anyway, leading to limited sales gains and potential revenue loss, as they fail to maximize revenue and other business metrics beyond loyalty.
Innovation Solution
A scalable, automated causal modeling system that determines coupon effectiveness indices by analyzing historical purchase data, characterizing consumer responses to varying coupon treatments, and optimizing coupon assignments based on business objectives, allowing for personalized and targeted coupon strategies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If coupon redemption models target customers with high redemption likelihood to maximize coupon redemption, then coupon redemption is improved, but revenue deteriorates
Solution Approach 1:
The patent changes the targeting parameter from redemption likelihood to incremental purchase probability. By using causal inference models that estimate the probability of additional purchases caused by coupons (rather than just likelihood of redemption), the system identifies customers who will buy more as a result of the coupon, not just those who will redeem it. This parameter change resolves the contradiction by targeting customers who generate incremental revenue.
Solution Approach 2:
The patent introduces causal inference models and incremental purchase probability estimates as intermediaries between coupon distribution and revenue outcomes. These models act as a mediator that filters out customers who would purchase anyway, allowing the system to target only those whose purchases are incrementally caused by the coupon, thus preserving revenue while maintaining redemption effectiveness.
2Quantity of substance
If coupons are widely and indiscriminately distributed to maximize reach, then market penetration is improved, but revenue deteriorates
Solution Approach 1:
The patent applies local quality by making coupon distribution heterogeneous rather than uniform. Instead of indiscriminate distribution, the system uses causal inference models to assign coupons selectively to specific customer segments based on their incremental purchase probability. Each customer receives treatment (coupon or no coupon) based on their local characteristics and predicted response, optimizing revenue impact while maintaining effective reach.
Solution Approach 2:
The patent changes the distribution parameter from broad reach to targeted incremental impact. By using causal inference to estimate incremental purchase probability for each customer, the system transforms the distribution strategy from quantity-focused (wide distribution) to quality-focused (revenue-impactful distribution), resolving the contradiction between reach and revenue preservation.
3Device complexity
If simple redemption likelihood models are used to reduce complexity, then model simplicity is improved, but measurement precision deteriorates
Solution Approach 1:
The patent substitutes traditional mechanical/statistical redemption prediction models with causal inference models. Instead of using simple correlation-based redemption likelihood estimates, the system employs causal inference techniques that account for selection bias and confounding factors. This substitution improves measurement precision of revenue impact by properly isolating the causal effect of coupons from other影响因素, despite increased model complexity.
Data Source
AI summary
Profiles characterizing each of a plurality of consumers are received. Thereafter, each profile is associated with one of a plurality of customer segments (e.g., matched pairs, etc.). Thereafter, a coupon effectiveness index is determined for each of the plurality of consumers for an offering based on the associated customer segment. The coupon effectiveness indices model characterizes causal effects estimates determined using historical data of purchases of individuals having varying coupon treatments for the offering. Subsequently, provision of at least a portion of the determined coupon effectiveness indices is initiated. Related apparatus, systems, techniques and articles are also described.