Brand Personality Gap Assessment Engine
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Solution Overview
Problem
Current methods for assessing and managing brand personality are inadequate, as they rely on time-consuming and costly surveys, suffer from biases, and fail to consider the dynamic nature of brand perception, especially in the context of social media, where brand personalities frequently change due to new marketing efforts and product releases.
Innovation Solution
A data processing system and method that utilizes a brand personality perception gap assessment engine to analyze inferred and intended brand personalities, identifying gaps and generating recommendations for bridging these gaps through a combination of crowdsource data analysis and predictive modeling, incorporating user imagery, employee imagery, and marketing message factors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional survey methods are used to assess brand personality, then comprehensive data can be collected, but the process becomes time-consuming and costly
Solution Approach 1:
The patent replaces traditional mechanical survey methods with an automated computational system that uses natural language processing of social media data, crowdsource information, and marketing content to infer brand personality traits. This substitution eliminates manual survey administration while maintaining measurement capability through algorithmic analysis of digital footprints.
Solution Approach 2:
The system creates a computational model that replicates human personality assessment capabilities by analyzing digital behaviors and communications. Instead of directly observing human responses through surveys, the system copies and analyzes the digital traces and patterns that reveal brand personality, enabling continuous assessment without time loss.
2Measurement precision
If traditional survey methods are used to assess brand personality, then data can be gathered, but the process becomes costly
Solution Approach 1:
The system enables brand personality assessment to serve itself by automatically collecting data from existing digital sources (social media, crowdsource platforms, marketing databases) without requiring external survey administration. The computational model self-updates as new data becomes available, eliminating the need for repeated paid survey deployments.
Solution Approach 2:
By replacing expensive human-administered surveys with automated natural language processing and machine learning models, the system eliminates the labor costs associated with survey design, distribution, and analysis while maintaining or improving measurement accuracy through scalable computational methods.
3Measurement precision
If traditional assessment methods are used, then brand personality can be measured, but the dynamic nature of brand perception on social media is not captured
Solution Approach 1:
The system transforms the static, periodic nature of traditional brand assessment into a dynamic, continuous process. By continuously monitoring social media conversations, crowdsource feedback, and marketing communications, the brand personality model adapts in real-time to reflect changing perceptions, enabling brands to respond promptly to market shifts rather than relying on outdated survey data.
Solution Approach 2:
The system implements continuous feedback loops where new social media data and crowdsource information constantly update the brand personality assessment. This feedback mechanism allows the model to detect and respond to changing brand perceptions as they emerge in digital conversations, providing adaptability that traditional one-time surveys cannot achieve.
Data Source
AI summary
Mechanisms are provided to implement a brand personality perception gap assessment engine. The mechanisms receive an inferred brand personality for a specified brand. The mechanisms further receive an intended brand personality for the specified brand. The mechanisms calculate at least one gap between the inferred brand personality and the intended brand personality. The mechanisms output an output indicating aspects of the at least one gap.