Continuous Consumer Conversion Analytics via Third-Party Measurement
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Solution Overview
Problem
Conventional consumer behavior modeling in e-commerce struggles to measure transaction volumes consistently and reliably, especially when evaluating the impact of Transaction Related Offerings (TROs) on consumer behavior, as it relies on limited metrics like clicks and keyword tracking, which do not accurately predict customer conversion.
Innovation Solution
The development of methodologies, systems, and software that enable continuous analytics of consumer-to-customer conversion throughout the online shopping process, using TRO providers to track consumer behavior via TRO graphics, seller reporting, and cookie or shared object technology, allowing for the determination of TRO efficacy and consumer behavior modeling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional buyer behavior modeling practices are used in e-commerce, then advertising strategies can be implemented to drive consumer purchases, but transaction volume cannot be measured in a verifiable, consistent and reliable way
Solution Approach 1:
The patent introduces a third-party measurement service as an intermediary between sellers and advertisers. This independent measurement service provides verifiable and consistent transaction volume data, resolving the contradiction by establishing an objective mediator that both parties can trust, rather than relying on self-reported or click-based metrics.
Solution Approach 2:
The system implements continuous feedback loops where measurement data is collected, analyzed, and used to adjust advertising strategies in real-time. This feedback mechanism ensures that transaction volume measurements are both precise and reliable, as the system continuously refines its measurement capabilities based on actual consumer behavior patterns.
2Productivity
If click-based metrics are used to measure website success, then advertising effectiveness can be assessed, but the ability to predict buyer conversion is insufficient
Solution Approach 1:
The patent fundamentally changes the measurement parameters from click-based metrics to transaction-based metrics. By shifting the focus from intermediate actions (clicks) to actual outcomes (transactions), the system achieves both efficient advertising assessment and accurate conversion prediction, as transaction data directly reflects consumer behavior patterns.
Solution Approach 2:
The system performs preliminary analysis of consumer behavior patterns and transaction data to build predictive models before actual conversions occur. By analyzing historical data and identifying patterns in advance, the system can accurately predict future conversion rates, enabling more effective advertising strategies.
3Productivity
If Transaction Related Offerings are implemented to increase transactions, then seller revenue can be improved, but the impact of TROs on buyer behavior is difficult to evaluate
Solution Approach 1:
The patent segments the measurement process into distinct components: baseline transaction data, TRO implementation data, and post-implementation transaction data. This segmentation allows for isolated analysis of TRO impact by comparing controlled groups, thereby preserving and analyzing the information needed to evaluate TRO effectiveness without compromising overall transaction volume improvements.
Solution Approach 2:
The system creates controlled copies or variants of the same product or service with different TRO configurations. By measuring and comparing these copies under identical conditions except for the TRO variables, the system can isolate and evaluate the specific impact of each TRO on buyer behavior while maintaining the ability to scale successful approaches.
Data Source
AI summary
Methodologies, systems, components and software are provided that perform web analytics to measure visitor to consumer conversion continuously throughout surfing, through conversion and past completion of a purchase on-line. In accordance with at least one embodiment, such methodologies, systems, components and software may be utilized to determine efficacy of a plurality of parameters relating to one or more Transaction Related Offerings (TROs). In accordance with at least one embodiment of the invention, such methodologies, systems, components and software may be utilized to configure one or more Consumer Behavior Decision Models (CBDMS) and/or generate consumer behavior data.


