Message Optimization via Segmented Variant Testing
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Solution Overview
Problem
Current methods lack a mathematically rigorous approach to optimize short marketing messages with calls to action, which are crucial for maximizing response rates, as they do not systematically test and analyze various phrasing alternatives to determine the most effective composition.
Innovation Solution
A method that involves receiving an input message, identifying its components, applying rules to create message variants, sending these variants to user samples, measuring response criteria, and selecting the optimal variant based on measured responses, utilizing lexical, syntactical, and grammatical tools to generate and test finite alternatives.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple message variants are created and tested to optimize response rates, then the effectiveness of marketing messages is improved, but the complexity of the message optimization process increases
Solution Approach 1:
The message is segmented into distinct components (head, body, call-to-action) that can be independently modified. This allows systematic testing of specific message elements while keeping others constant, reducing the complexity of the optimization process by breaking down the overall message into manageable segments.
Solution Approach 2:
Instead of testing all possible message combinations, the patent applies partial action by focusing on modifying only specific message components (head, body, or call-to-action) separately. This reduces the number of variants that need to be tested while still identifying effective message structures.
2Manufacturing precision
If message components are systematically modified to create variants, then the precision of message optimization is improved, but the time required for testing and analysis increases
Solution Approach 1:
By segmenting the message into head, body, and call-to-action components, the patent enables focused testing on specific segments rather than testing entire messages. This increases precision in identifying which component drives response rates while reducing overall testing time through targeted experiments.
Solution Approach 2:
The patent applies preliminary action by pre-defining the message structure and identifying key components before testing begins. This preparation allows for more efficient testing since the framework is already established, reducing the time needed during the actual testing and analysis phase.
3Measurement precision
If statistical testing is applied to determine optimal message phrasing, then the accuracy of optimization results is improved, but the complexity of analysis methods increases
Solution Approach 1:
The statistical analysis is segmented to focus on specific message components rather than analyzing entire messages as undifferentiated units. This allows application of statistical testing to individual segments (head, body, call-to-action), improving measurement accuracy for each component while keeping the analysis methodology manageable through focused scope.
Data Source
AI summary
The present invention provides a system and method for optimizing a message. Components of a starting message are identified, and at least one rule is applied for modifying at least one message component to create at least one variation of the starting message. Message variants are tested by sending each variant to a sample of people and measuring a response rate for each sent message variant. The measured response rates are used to create an optimal version of the message. In one embodiment, message variants may be created and tested in multiple rounds.