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  6. [Case Study of Implementing Emotional AI Analytics] Advertising Agency

[Case Study of Implementing Emotional AI Analytics] Advertising Agency

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last updated:Apr 21, 2025

感性AI
感性AI
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Examples of cases when submitting as supporting materials for proposals to clients!

We would like to introduce a case study on the implementation of the image analysis AI tool "Kansei AI Analytics" at an advertising agency. As an advertising agency, we have been delivering catchphrase proposals for hand soap to clients, but since these proposals were created based on years of intuition and insights, it was difficult to provide evidence for them, making it challenging to gain client approval. After the implementation, the emotional impressions felt by consumers can be instantly visualized in graph form on the spot. Since evaluations can be conducted repeatedly, we are now able to assess all catchphrases from the stage of brainstorming ideas for delivery. [Case Overview] ■ Before Implementation - While we could understand the tendencies preferred by the persona from past data, we could not provide evidence for why this catchphrase resonates, as it was based on long-standing intuition. ■ After Implementation - By being able to provide evidence for intuitive insights, the delivery process has become smoother, and the number of requests has increased. *For more details, please refer to the related links or feel free to contact us.

    Business Intelligence and Data Analysis
広告代理店.PNG

[Case Study of Implementing Emotional AI Analytics] Advertising Agency

広告代理店.PNG
広告代理店.PNG
  • Related Link - https://www.kansei-ai.com/marketingsolution-usecas…

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Emotional AI Analytics Service Introduction Document

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【Release of New Features in Sensory AI Analytics】Started offering "Custom Sensory Scales" that allow users to analyze design impressions based on their unique evaluation criteria.

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The web service "Kansei AI Analytics," which analyzes and visualizes the impressions of images and texts using AI trained on consumer data, allows for the evaluation of package design, naming, and catchphrases based on various adjectives from a marketing research perspective. As a new feature, we have released the "Custom Kansei Scale," which enables users to create their own unique impression evaluation scales and analyze the impressions of images based on them. This feature was developed in response to numerous requests from our customers, such as "I want to evaluate using industry-specific terms" and "I want to measure whether it aligns with the image our brand aims for." By quantifying evaluation axes specific to industries and brands, such as "looks delicious" and "brand identity," we can identify differentiation points from competitors and delve deeper into consumer insights, contributing to more strategic creative design.

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感性AI

感性AI

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Our company was established on May 25, 2018, through joint investment by Keio Corporation and Professor Maki Sakamoto of the National University Corporation, University of Electro-Communications. We are a company that can commercially utilize the intellectual property from the Sakamoto Laboratory at the University of Electro-Communications, which has been certified as a venture originating from the university. By creating AI that understands the hidden senses within people and supports their expression, we aim to become a platform for the utilization of sensitivity.

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