Click Value Determination with Incentive Schemes
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Solution Overview
Problem
Current pay-per-click advertising models fail to differentiate between visitors based on their likelihood to transact with advertisers, leading to inefficient ad targeting and potential click fraud, which can deter advertisers and reduce revenue for website operators.
Innovation Solution
Implementing a click value server that computes individual click values for visitors based on their transaction history and interests, allowing advertisers to target specific types of visitors and managing incentives for both visitors and advertisers to promote genuine interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the pay-per-click model treats all visitors equally, then the implementation is simple and straightforward, but it fails to distinguish between qualified visitors likely to transact and casual visitors unlikely to purchase
Solution Approach 1:
The patent changes the parameter of visitor evaluation from a uniform treatment to a differentiated approach based on multiple parameters including transaction history, browsing behavior, and demographic data. The click value computation system assigns different weights to various visitor attributes to calculate a quantitative measure of visitor quality, enabling precise differentiation between qualified and casual visitors.
Solution Approach 2:
The patent segments the visitor population into different categories based on their click values and transaction likelihood. By dividing visitors into segments such as high-value, medium-value, and low-value visitors, the system can apply different pricing and targeting strategies to each segment, improving measurement precision without overwhelming complexity.
2Reliability
If the system charges advertisers based on uniform click pricing, then the pricing model is simple to implement, but it exposes advertisers to excessive charges from click fraud without distinguishing between genuine and fraudulent clicks
Solution Approach 1:
The patent implements a feedback mechanism where the system continuously monitors click patterns, visitor behavior, and transaction outcomes to identify potential fraud. The incentive management system uses this feedback to adjust click values dynamically, reducing payments for suspicious clicks while rewarding verified genuine interactions, thereby improving reliability of click authentication.
Solution Approach 2:
The system takes preliminary anti-action by establishing incentive structures that discourage fraudulent behavior before it occurs. By offering incentives for verified genuine clicks and implementing pre-screening of visitor quality, the system proactively prevents click fraud rather than merely reacting to it after detection.
3Productivity
If the system incentivizes visitors to click on advertisements, then visitor engagement increases, but it may encourage click fraud and reduce the quality of clicks
Solution Approach 1:
The patent applies local quality by providing different incentive levels to different visitors based on their individual click values and quality metrics. Rather than uniform incentives for all visitors, the system tailors incentive amounts to match the expected quality and likelihood of genuine transaction, thereby maintaining high engagement while minimizing fraud risk through localized differentiation.
Data Source
AI summary
Tools and techniques are described herein for determining click values, along with incentive schemes for website visitors and advertisers. These tools may provide a click value system that includes a click value determination unit and an incentive administration unit. The click value determination unit may compute respective click values for different visitors to a website. These click values may indicate a likelihood that the visitors may transact for particular goods or services offered through the website. The incentive administration unit manages visitor incentives provided to the visitors, and also manages advertiser incentives provided to the advertisers.