Ad Awareness Measurement Platform Using Recognition-Based Interrogation
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Solution Overview
Problem
Current systems for measuring advertisement awareness require advertiser involvement and are costly, preventing publishers from independently assessing consumer awareness of online advertisements.
Innovation Solution
A measurement platform that uses user recognition abilities to distinguish between viewed and unviewed advertisements, allowing for low-cost, flexible measurement of advertisement awareness without advertiser involvement, by tracking exposure and dynamically constructing interrogation sets to query consumers on their ad recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional advertisement awareness measurement systems are used, then advertiser involvement and approval are required, but this increases cost and prevents independent measurement by publishers
Solution Approach 1:
The system enables publishers to independently conduct advertisement awareness measurements without requiring advertiser involvement or approval. The measurement platform autonomously serves advertisements, tracks user interactions, and collects awareness data, allowing publishers to self-manage the entire measurement process.
Solution Approach 2:
The measurement platform acts as an intermediary between advertisers and publishers, enabling independent measurement while maintaining data integrity. It captures advertisement delivery information, user interaction data, and awareness metrics without requiring direct advertiser participation in the measurement process.
2Measurement precision
If traditional advertisement awareness measurement systems are used, then advertiser involvement is required, but this increases cost
Solution Approach 1:
The system enables publishers to independently conduct advertisement awareness measurements without requiring advertiser involvement or approval. The measurement platform autonomously serves advertisements, tracks user interactions, and collects awareness data, allowing publishers to self-manage the entire measurement process.
Solution Approach 2:
The system uses lightweight, easily deployable measurement code that can be quickly implemented and discarded or updated. This approach reduces the cost burden by using simple, scalable technical solutions rather than expensive, complex measurement infrastructure requiring advertiser investment.
3Measurement precision
If user recall ability is used to measure advertisement awareness, then the measurement process becomes complex and less accurate, but using user recognition ability simplifies the process and improves accuracy
Solution Approach 1:
Instead of asking users to recall advertisements they saw (recall-based measurement), the system inverts the approach by presenting users with multiple advertisements and asking them to recognize which ones they have previously seen. This recognition-based approach leverages human cognitive strengths and produces more reliable measurement results.
Solution Approach 2:
The system implements a feedback mechanism where user recognition responses are collected and analyzed to determine advertisement awareness. The platform uses this feedback to calculate awareness metrics and provide actionable insights to publishers about which advertisements were effectively noticed by users.
Data Source
AI summary
The present invention is directed to system architecture of a measurement platform configured to determine advertisement awareness by consumers and methods for determining advertisement awareness by consumers at low cost. The system architecture is flexible and may be applied to any advertisement and is configured to operate without involvement or approval of the advertiser. The system uses user recognition rather than user recall as an indication of measuring awareness within a publisher's website, by tracking advertisement exposure to consumers and dynamically constructing sample interrogation sets to query consumers.