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CASE STUDY
Market Research, Reimagined.
Reveal AI delivers deep qualitative insights at scale — faster, cheaper, and smarter.
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The Problem with Traditional Market Research
Teams are forced to choose between speed, depth, and cost. With Reveal AI you can have it all.
Slow & Expensive
Limited Depth at Scale
Hard-to-Analyze Data
The Reveal AI Solution:
Speed. Depth. Easy on Budget.
Reveal AI empowers you to deliver the rich customer insights your teams need to drive real business results.
Engage Richly
Embed video, images, and interactive elements; personalize the feedback experience.
Deep, Qualitative Analysis
Capture what customers really feel, with scale and nuance.
Real-Time & Continuous
Collect feedback steadily across touchpoints, not just snapshots.
Integrate & Act
Clear dashboards, filtering, exportable data; inform product, marketing, support, and more.
Customer Stories:
From Weeks to Days
Reveal AI combines AI-guided conversations with automated analysis so you can capture customer voices at scale - without the delays or overhead of traditional methods.
CASE STUDY
National Insurance Provider
Problem:
Needed rapid concept validation in the emerging EV market; conventional focus groups too slow & expensive
Approach:
Used Reveal AI to interview 300+ customers over a few days; collected thousands of open-ended responses
Results:
Reduced timeline from 4-6 weeks to a few days; cost significantly lower; clear go/no-go decision reached quickly
Key Takeaways:
Speed + scale lets you test multiple concepts quickly, and catch nuances in customer language
CASE STUDY
Global Advisory Firm
Problem:
Launching a new service offering but uncertain what clients really need, what the budget is, what adoption hurdles might be
Approach:
Sourced ideas & challenges from employees, used interviews via Reveal.ai to surface client priorities, barriers
Results:
Validated the service proposition, aligned internal resource planning, uncovered potential roadblocks early; ability to shape the offering to real client voice
Key Takeaways:
Internal-employee + external client feedback is powerful; early validation prevents building uninterested products.
The Reveal AI Solution
Reveal AI empowers you to deliver the rich customer insights your teams need to drive real business results.
700K+
AI-powered questions delivered
41%
Higher response completion rate
2.5X+
More high-value words to fuel richer insights
40%
Reduction in project completion time
Who Benefits from Reveal AI?
Whether you’re validating a new concept, entering a new market, or listening to employees, Reveal AI makes it faster and easier to understand what people really think and why.
Industries
Use Cases
FAQ
How has Reveal AI helped companies accelerate market research?
Case studies show Reveal AI reducing project timelines from weeks to days while uncovering deeper consumer insights. Organizations have applied these insights to refine brand positioning, launch new products, and optimize marketing campaigns.
What ROI can businesses expect from using Reveal AI in market research?
Reveal AI automates qualitative research tasks like coding and analysis, significantly lowering costs compared to traditional focus groups or interviews. Businesses see higher ROI through faster decision-making and improved accuracy of insights.
Are there examples of Reveal AI being used in product concept validation?
Yes. Companies have used Reveal AI to test new product concepts, compare feature preferences, and refine positioning before launch. These studies help avoid costly missteps and ensure stronger product-market alignment.
What types of market research case studies are available with Reveal AI?
Reveal AI case studies span brand tracking, consumer behavior analysis, advertising evaluation, and competitive research. Each demonstrates how conversational AI accelerates insights while maintaining qualitative depth.
How does Reveal AI deliver insights for large-scale market research projects?
By automating interview analysis and clustering open-ended responses, Reveal AI makes it possible to scale qualitative research to thousands of participants. This ensures statistically meaningful insights without losing qualitative richness.