Automated Sampling Terminal for Marketing Effectiveness Measurement
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current product sampling methods fail to effectively measure the success of marketing activities, as they cannot definitively determine if sampling events lead to product purchases, struggle with consistent sampling across multiple locations, and often result in unsanitary conditions, while also lacking integration with customer loyalty programs and data aggregation for valuable consumer feedback.
Innovation Solution
A system comprising a server and product sample terminals that identify customer preferences, dispense samples based on those preferences, and track whether the sampled product is purchased, allowing for the assignment of sampling event values and real-time feedback collection to improve marketing strategies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional product sampling events are conducted with human samplers, then consumers can receive free product samples, but it becomes difficult to definitively measure whether the sampling activity caused a purchase and difficult to maintain consistent sampling across multiple locations
Solution Approach 1:
The patent replaces the mechanical system of human samplers with an automated dispensing machine that uses electronic identification (barcode scanning) and automated product dispensing. This substitution eliminates the need for human judgment and manual tracking, enabling precise measurement of sampling effectiveness through automated data collection and linking sample distribution to subsequent purchase data.
Solution Approach 2:
The system implements feedback by tracking and measuring the relationship between sample distribution and subsequent purchase behavior. The automated dispensing machine collects data on which consumers receive samples, and this data is later correlated with purchase data to determine the effectiveness of sampling activities, providing measurable feedback on marketing ROI.
2Reliability
If human samplers are used to distribute products, then sampling can be conducted at multiple locations, but unsanitary conditions may occur due to human interaction with and preparation of product samples
Solution Approach 1:
The patent extracts the human element from the sample distribution process entirely. The automated dispensing machine handles all aspects of sample preparation and distribution, eliminating human contact with the product samples. This extraction ensures sanitary conditions are maintained while the machine's continuous operation capability maintains high productivity.
3Ease of operation
If products are merchandised in close proximity to sampling activity, then shoppers can conveniently purchase sampled products, but store operations become more complex and product placement becomes difficult
Solution Approach 1:
The automated dispensing machine serves multiple functions: it acts as both the sampling station and the point-of-sale interface. The system integrates sample distribution, consumer identification, data collection, and purchase tracking into a single universal device, eliminating the need for separate merchandising arrangements and simplifying store operations.
Data Source
AI summary
Methods, systems and devices for evaluating a product sampling event. The disclosed methods, systems and devices receive from a user a user identification specific to the user and compare the user identification to a user data set stored on a computer-readable medium. A sample is then delivered based on a predetermined condition, and a product value is changed after the step of causing delivery of the sample of the product. It can then be determined whether the user purchased the product after delivery of the sample of the product and, based on that determination, a sampling event value can be assigned. The user's preferences can also be used to provide a more custom sample with a user's order for example, with online or home delivery shopping.


