Resale-Linked Points Marketing for High-Quality User Acquisition
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Solution Overview
Problem
Existing point reward systems distribute points to a broad, unspecified number of users, increasing the burden on companies with limited financial resources and failing to effectively attract high-quality users.
Innovation Solution
Implement a marketing method where users register and sell items with a collaboration points cap, granting points equivalent to the difference between purchase and sale prices, enhancing user engagement and excitement through a mechanism that allows products to be acquired virtually for free.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If points are distributed to a broad, unspecified number of users, then user acquisition increases, but the burden of providing points increases and financial resources are depleted
Solution Approach 1:
The patent applies local quality by differentiating between ordinary users and high-quality users, providing points selectively to those who meet specific criteria (reselling at lower prices). This targeted approach concentrates resources on users who generate the most value rather than distributing broadly to all users.
Solution Approach 2:
The patent changes the parameter of point distribution from unconditional to conditional, where points are granted based on specific reselling behavior (selling below purchase price). This parameter change transforms the point system from a broad acquisition tool to a precision targeting mechanism for high-quality users.
2Quantity of substance
If points are distributed broadly, then user acquisition increases, but the effectiveness of points as a marketing tool decreases
Solution Approach 1:
The patent implements feedback by monitoring user reselling behavior and using this information to determine point distribution. The system observes whether users resell at lower prices and provides points accordingly, creating a closed-loop mechanism that continuously optimizes marketing effectiveness based on actual user behavior.
Solution Approach 2:
The patent applies local quality by differentiating between ordinary users and high-quality users, providing points selectively to those who meet specific criteria (reselling at lower prices). This targeted approach concentrates resources on users who generate the most value rather than distributing broadly to all users.
3Ease of operation
If a collaboration points cap is granted to registered users, then user engagement increases through excitement and economic incentive, but the system complexity increases
Solution Approach 1:
The patent applies self-service by allowing users to automatically register and participate in the point system without manual intervention. Users who meet the criteria (reselling below purchase price) automatically receive points, reducing the need for complex manual processing while maintaining engagement.
Solution Approach 2:
The patent uses copying by implementing an automated system that replicates the point distribution process based on predefined rules. Once the system is set up with the collaboration points cap and criteria, it automatically applies these rules to all qualifying users, reducing operational complexity while maintaining engagement.
Data Source
AI summary
[Problem] To achieve effective marketing through point back that can effectively acquire high-quality users essential for the company, in marketing methods and programs using points.[Solution] The purchase target registration module 103 conducts user registration for purchase-interested user 113 who has made purchase transactions and grants them a cap on collaboration points, while storing information about the transaction objects (purchased products, etc.) for which the registered user has conducted purchase transactions. When a registered user conducts a new sale transaction for the transaction object and the sale price at the time of the new sale transaction does not reach the purchase price at which the registered user bought the transaction object, the collaboration points granting module 105 grants collaboration points to the registered user equivalent to the difference between the purchase price and the sale price, within the limit of the granted collaboration points cap, thereby compensating for the difference.