POS Ad Effectiveness Tracking via Transaction Correlation
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Solution Overview
Problem
In-store electronic advertisement displays struggle to effectively analyze their impact on sales due to small target audiences and difficulty in attributing sales increases to specific advertisements.
Innovation Solution
A system comprising a server module, POS devices, and video display devices that track advertising impressions by correlating transaction data with video data to determine the effectiveness of in-store advertisements, using a method that includes identifying impressions, analyzing post-impression purchasing behavior, and characterizing advertisement effectiveness for specific demographics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If advertisement displays are placed at point of sale locations to reach shoppers, then advertising reach and positioning are improved, but the ability to measure effectiveness and attribute sales is worsened due to small target audience size
Solution Approach 1:
The system implements feedback by tracking shopper behavior through cameras and sensors, collecting data on who viewed advertisements and what they subsequently purchased. This closed-loop feedback mechanism enables precise measurement of advertisement effectiveness by directly linking exposure to purchasing outcomes, resolving the contradiction between broad advertising reach and precise effectiveness measurement.
Solution Approach 2:
The patent introduces intermediary technologies (cameras, sensors, and data processing systems) that mediate between the advertisement display and the shopper. These intermediaries capture and track shopper interactions with advertisements, enabling precise measurement of effectiveness without disrupting the natural shopping experience or the advertising delivery mechanism.
2Ease of operation
If traditional sales tracking methods are used, then implementation is simple, but the ability to attribute sales to specific advertisements is lost due to lack of correlation between exposure and purchasing data
Solution Approach 1:
The system merges previously separate data streams (advertisement exposure data from video tracking and purchasing data from POS systems) into a unified analysis framework. By combining these datasets and correlating them through shopper identification, the system enables sales attribution while maintaining operational simplicity through automated data integration and processing.
Solution Approach 2:
The patent replaces manual sales attribution methods with automated electronic tracking and data processing systems. Cameras, sensors, and software algorithms automatically capture exposure data, track shopper behavior, and correlate it with purchasing information, eliminating the need for manual tracking while preserving implementation simplicity through automation.
3Measurement precision
If detailed tracking of individual shopper behavior is implemented to measure advertisement effectiveness, then measurement precision is improved, but system complexity and data processing requirements increase
Solution Approach 1:
The system segments the tracking process into distinct functional modules: advertisement display monitoring, shopper detection and identification, behavior tracking, and data correlation. Each module handles a specific aspect of the measurement process, reducing overall system complexity while maintaining high measurement precision through specialized, modular components.
Data Source
AI summary
Systems and methods are disclosed herein for characterizing the effectiveness of an advertisement displayed at a point of sale (POS). A transaction reported by a POS may identify a consumer and a transaction time as well of details such as a product purchased. The transaction time may be compared to an advertising schedule to identify an advertisement displayed adjacent the POS at the time of purchase. Transactions subsequent to identified advertisements may be analyzed to identify any increase in purchasing activity for an advertised product. Increases in purchasing activity and impressions identified in this manner for the general population or demographic groups may be aggregated to characterize an advertisement's effectiveness. Video data or transaction frequency data may be used to estimate an in-queue time for a customer in order to identify advertisement impressions.