Case Studies

Explore how Taglight transforms real customer feedback into actionable insights, fueling smarter product decisions, deeper loyalty, and strategic growth across today's most innovative brands.

What you see in these case studies is what Taglight looks like behind the scenes — where we collect, organize, and analyze real customer reviews using AI.
From there, we walk brands through exactly what the data means and highlight the opportunities it reveals — from product improvements to channel strategies.
You don’t just get a dashboard. You get direction.

Poppi Case Study

Turning 1,000+ Customer Reviews Into Brand Growth Strategy

Poppi is one of the most talked-about functional soda brands in the wellness space — known for its gut health benefits, bold flavors, and viral appeal. As part of Taglight’s launch, we conducted a full-scale case study using AI-powered tools to analyze over 1,000 real customer reviews across Amazon, Target, and Walmart.

The goal: uncover patterns in customer satisfaction, brand loyalty, and operational friction points to inform smarter product and marketing strategies.. This case study demonstrates how Taglight translates raw customer feedback into clear, strategic insight.

Key Highlights

  • Analyzed 1,000+ verified customer reviews from Amazon, Target, Walmart, and ThingTesting

  • Identified top-performing flavors like Strawberry Lemon, Cherry Lime, and Raspberry Rose

  • Uncovered common fulfillment issues, including packaging damage and out-of-stock complaints

  • Surfaced health-conscious and family-focused customer segments (e.g. postpartum, digestive health, kids)

  • Detected strong emotional patterns like flavor nostalgia and loyalty-driven bulk buying behavior

  • Delivered insights via a real-time, filterable dashboard + full written strategic case study

Hilma Case Study

Unlocking Health Supplement Insights Through Customer Reviews

Hilma, a leading wellness brand focused on clean, effective remedies, has built a passionate customer base — but what hidden insights could reviews reveal?
Taglight conducted a full review intelligence analysis, examining over 1,000 real customer reviews from Amazon, ThingTesting, and other platforms. Using AI-powered tools, we uncovered key sentiment trends across Hilma’s product line, surfaced operational feedback patterns, and identified community-driven growth opportunities.

This case study showcases how Taglight's insights can help health and wellness brands deepen loyalty, improve product-market fit, and strengthen retailer strategies.

Key Highlights

  • Analyzed 1,000+ verified customer reviews across multiple platforms

  • Identified top-performing SKUs like the Stomach Recovery and Immune Support supplements

  • Surfaced operational issues, such as delivery concerns and subscription management feedback

  • Highlighted strong community themes around gut health, natural remedies, and holistic wellness

  • Delivered insights through an interactive dashboard + full strategic recommendations

Hippeas Case Study

Same Snack, Different Story.

Not all customer reviews are created equal.
Taglight analyzed over 300 Hippeas reviews from Amazon and Walmart, using AI to categorize feedback across key sentiment patterns like flavor satisfaction, texture complaints, and bag size concerns.

While the product remained consistent, the tone and ratings varied dramatically by platform.
Amazon reviews were more critical, with 23% receiving 1 or 2 stars — compared to just 2% on Walmart.
Negative feedback patterns were disproportionately concentrated on Amazon, revealing that channel-specific behavior — not just product experience — is shaping brand perception.

With this data, new questions come into focus.

These aren’t just questions - they’re opportunities for action.

Why are customers having such different experiences with the same snacks - just based on where they buy them?

Are these differences due to fulfillment delays, audience expectations, or even platform-level trust dynamics?

Could differences in warehouse conditions or delivery timelines explain texture complaints on specific platforms?

Is Hippeas losing brand trust on Amazon that it doesn't even know about?