Automated Pricing Model Switching for Advertising Services
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Solution Overview
Problem
Online advertising systems face challenges in accurately pricing ads, particularly with cost-per-click (CPC) models, which are susceptible to click fraud and require constant monitoring, while cost-per-action (CPA) models offer lower business risk but may not accurately reflect ad effectiveness.
Innovation Solution
Implementing a method that allows advertisers to switch between cost-per-conversion (CPA), cost-per-click (CPC), and cost-per-impression (CPM) pricing models based on stability indices, automatically switching when certain thresholds are met, and notifying advertisers of these changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If cost-per-click (CPC) pricing model is used, then advertisers can pay for clicks, but the system is susceptible to click fraud and requires constant monitoring
Solution Approach 1:
The system automatically monitors stability indices and switches pricing models without requiring constant human intervention. The automated switching mechanism allows the system to self-regulate between CPA and CPC models based on real-time performance data, reducing the complexity of manual monitoring while maintaining pricing accuracy.
Solution Approach 2:
The system continuously monitors stability indices derived from performance data and uses this feedback to automatically switch between pricing models. When the stability index falls below a threshold, the system transitions from CPA to CPC pricing, and vice versa, creating a closed-loop control system that adapts to changing conditions.
2Reliability
If cost-per-action (CPA) pricing model is used, then business risk is reduced and monitoring is minimized, but the model may not accurately reflect ad effectiveness
Solution Approach 1:
The system dynamically switches between CPA and CPC pricing models based on real-time stability indices. When conversion data is abundant and stable, CPA pricing is used to minimize risk. When stability deteriorates, the system transitions to CPC pricing to better measure ad effectiveness through click data, creating a flexible pricing strategy that adapts to data availability.
3Ease of operation
If automated switching between pricing models is implemented, then monitoring requirements are minimized, but the system complexity increases
Solution Approach 1:
The automated switching mechanism operates autonomously by continuously monitoring stability indices and automatically transitioning between pricing models when thresholds are crossed. This self-service approach eliminates manual monitoring requirements while the modular architecture manages system complexity through clear separation of monitoring, decision-making, and execution components.
Data Source
AI summary
Methods, systems, and apparatus, including computer program products, that can include receiving from an advertiser a request for billing based on a first measure of services, determining from quality data related to the advertiser whether the first measure of services can be converted with sufficient confidence to a second measure of services, providing services according to the first measure of services, monitoring stability data indicative of the stability of the relationship between the first measure of services and the second measure of services, and automatically switching from one to another mode of determining a price to be charged the customer for services provided.