Case Study: Sampler achieves rapid, scalable customer sentiment insights with Keatext

A Keatext Case Study

Preview of the Sampler Case Study

How Sampler Reduces Time to Insights by 98%

Sampler, a digital sampling company that delivers personalized product samples to consumers’ doors, needed a faster way to turn thousands of product reviews into actionable insights for its clients. Faced with programs that can generate up to 50,000 reviews, Sampler selected Keatext’s AI text‑analytics and sentiment‑analysis tool to analyze unstructured, anecdotal feedback and surface trends and themes.

Keatext’s solution automatically identifies top topics, sentiment (positive/negative) and nuanced classifications, and provides customizable topic views and dashboards for client reports. The impact: account managers can pull insights in minutes (for example, parsing 6,000 reviews dropped from about 8 hours to 10 minutes), enabling Sampler to save time, detect sentiment at scale, and deliver clearer, measurable insights to clients.


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Sampler

Alisha Manion

Account Manager


Keatext

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