Case Study

Fail-proofing new launches for a Fortune 50 brand with behavioral analysis

Published on 28th November 2021 | By Zenus

For

A Fortune 50 brand

Tags

Customer Data
Data Analysis
Automated Insights
Behavioral Analysis
Ethical Facial Analysis

Challenges

A Fortune 50 brand wished to predict how its new product would perform before actually taking it to market. To this end, the R&D team required:

  1. Accurate and unbiased feedback from focus groups
  2. An automated data review process to save weeks of manual labor
    The team partnered with Zenus to extract sentiment data from focus groups and customer interviews. The participants included five female and a male millennial consumer.

Solutions

The Zenus system analyzed the faces of the participants to produce positive sentiment analysis and more. The results offer the full picture about people's behavior in the below reports:

  1. A video with face annotations and sentiment scores for each person
  2. A CSV file with the sentiment scores for each person
  3. Dashboard access to view the detailed graphs

Key Metrics

80%

Accelerated launches with 80% faster review and richer insights

$15M

Reduced failed launches saving up to $15M cost for each prevention

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