Insights on Product Management Analytics for Mattress Makers

Stratifyd analyzed more than 7,000 reviews from Amazon.com on mattresses manufactured by both Casper and Tuft & Needle. We wanted to gauge customer sentiment on the product itself to understand which of the two customers prefered. Both companies primarily ship queen size mattresses, so for this analysis we looked at the quality, price, and delivery of the queen size only.

We did not just look at the overall customer satisfaction ratings but also the sentiment behind what is written by the customer to accompany the review. When calculating the numbers for both overall product satisfaction and sentiment rating, we rate customer satisfaction on a 1 to 5 scale and sentiment score on a -5 to +5 scale.

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In Stratifyd's analysis, the top three reasons customers typically returned mattresses were discovered. Those dissatisfied with the mattresses from either manufacturer reported the product was too soft, had sizing issues, or had a persistent smell.

By understanding customer feedback on products through AI powered analytics and unsupervised machine learning, companies can recognize issues in real time. They can use valuable data analysis to adjust product quality, make changes in their policies, and better service their customers in less time. Stratifyd provides a wide variety of companies with better and more accurate insights into their most pressing concerns, allowing for faster time to insight and more effective business decision making.

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Joshua Camden