Healthcare Case Study

AI Consumer Insights for a Global Health Brand



AI Consumer Insights
for a Global
Health Brand

AI Consumer Insights for a Global Health Brand

Global Company Size:

+$14.4 billion annual revenue

Brand Size:

approx. $500 million

Team: Global Consumer Healthcare

Category: Longevity

Global Company Size: +$14.4 billion annual revenue

Brand Size: approx. $500 million

Team: Global Consumer Healthcare

Category: Longevity

The brand recognized a growing consumer disconnect: despite years of category leadership in supplements, consumers increasingly viewed the space as fragmented and “generic.”
Probiotics, nootropics, and joint supplements all competed in silos — while consumers’ lived experiences were holistic, interconnected, and emotional.

Emerging consumer behaviors revealed a deeper shift:

  • Redefining daily clarity and focus, not just cognitive preservation.

  • Energy regulation and stress resilience, not digestion alone.

  • Movement rather than pain relief.

Traditional segmentation couldn’t capture the overlaps between these narratives.

The team needed a way to decode unstructured consumer conversations across text and video and several categories revealing how real people perceive interconnected wellbeing — without commissioning dozens of one-off studies.

Challenges

The brand integrated CREWASIS to conduct AI-powered multimodal text and video analysis across millions of consumer data points — social posts, product reviews, forum discussions, and scientific abstracts — to uncover the hidden systems behind health decisions. We completed a 4-week sprint and ranked and clustered the following solution. 

Over four insight cycles, CREWASIS mapped how language, emotion, and behavior connect in one living ecosystem:

Week 1 – Science

Week 2 – Early Detection 

Week 3 – Performance

Week 4 – Interconnected Health

The brand integrated CREWASIS and its AI-powered text analysis to decode unstructured consumer language at scale.
Over four consecutive insight cycles, the system clustered millions of organic mentions into distinct regional, retailer, and behavioral patterns.

Each week revealed a different lens:

  • Week 1 – Product Positioning & Perception: Identified why consumers saw Brand as high quality but not “everyday practical.”

  • Week 2 – Family Value & Lifestyle: Mapped the tiers (basic, enhanced, advanced) to distinct household mindsets.

  • Week 3 – Retail Contexts: Revealed how “value” looked different at Costco, Kroger, Sam’s, Walmart, and Dollar General.

  • Week 4 – Regional Insights: Exposed five unique loyalty personas across the Midwest, South, West, and Northeast.

This approach transformed fragmented consumer chatter into a unified map of how real households perceive value, performance, and trust.

The brand integrated CREWASIS and its AI-powered text analysis to decode unstructured consumer language at scale.
Over four consecutive insight cycles, the system clustered millions of organic mentions into distinct regional, retailer, and behavioral patterns.

Each week revealed a different lens:

  • Week 1 – Product Positioning & Perception: Identified why consumers saw Brand as high quality but not “everyday practical.”

  • Week 2 – Family Value & Lifestyle: Mapped the tiers (basic, enhanced, advanced) to distinct household mindsets.

  • Week 3 – Retail Contexts: Revealed how “value” looked different at Costco, Kroger, Sam’s, Walmart, and Dollar General.

  • Week 4 – Regional Insights: Exposed five unique loyalty personas across the Midwest, South, West, and Northeast.

This approach transformed fragmented consumer chatter into a unified map of how real households perceive value, performance, and trust.

The brand integrated CREWASIS and its AI-powered text analysis to decode unstructured consumer language at scale.
Over four consecutive insight cycles, the system clustered millions of organic mentions into distinct regional, retailer, and behavioral patterns.

Each week revealed a different lens:

  • Week 1 – Product Positioning & Perception: Identified why consumers saw Brand as high quality but not “everyday practical.”

  • Week 2 – Family Value & Lifestyle: Mapped the tiers (basic, enhanced, advanced) to distinct household mindsets.

  • Week 3 – Retail Contexts: Revealed how “value” looked different at Costco, Kroger, Sam’s, Walmart, and Dollar General.

  • Week 4 – Regional Insights: Exposed five unique loyalty personas across the Midwest, South, West, and Northeast.

This approach transformed fragmented consumer chatter into a unified map of how real households perceive value, performance, and trust.

Solution

AI analysis transformed fragmented data into an integrated, evidence-based consumer foresight system.

  • +30% uplift in engagement with “whole-body resilience” campaigns that linked all longevity categories.

  • 3 new innovation pipelines built around system-based formulas

  • Shared AI dashboards accelerate cross-functional collaboration between R&D, marketing, and medical affairs.

  • Time to insight reduced by 75%, from six weeks of manual research to real-time, iterative cycles.

The findings reframed product strategy from “nutrient supplementation” to building a roadmap toward predictive, personalized, and networked health management.

Results

This global consumer health leader operates in over 60 markets with a mission to extend healthspan through science-driven wellness. Its portfolio serves millions daily through clinically validated solutions.

By embedding CREWASIS’s AI consumer intelligence engine into its insights workflow, the company can now identify early signals of biological and behavioral change — transforming consumer chatter into scientifically anchored foresight.

About

The brand’s teams relied heavily on siloed research.
Although each category performed well they wanted to quickly connect all of them.

“Manual synthesis couldn’t keep pace with the flood of digital data — particularly as consumers blurred boundaries between mental clarity, gut comfort, and physical vitality.”  - Carlos Garcia 

“We needed to engage the audience of science experts and KOLS looking at both consumer insights and science”. - Rachael Patusco

Before AI-Driven Insights

The team selected CREWASIS for its ability to decode multi-domain language and connect scientific frameworks to real-world consumer expression.

The AI model automatically mapped emotion clusters — trust, performance, resilience, relief, and proof — back to tangible brand levers:

  • Product efficacy → “scientific impact”

  • Lifestyle resonance → “daily resilience”

  • Sustainability & sourcing → “natural transparency”

Outputs flowed directly into brand dashboards and innovation briefs, bridging consumer foresight with R&D.

Choosing AI to Amplify Human Understanding


Choosing AI to Amplify
Understanding


Text Clustering
CREWASIS AI automatically organizes millions of health-related mentions into biologically meaningful clusters.

Report Generation
Automated visual reports summarize consumer emotion, scientific credibility, and behavioral shifts across 10+ markets.


“AI helped us see the invisible links between categories— and turn them into an innovation pipeline.”

— Global Health Insight Lead

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