Customer Feedback Analytics for Retail & Ecommerce | Chattermill

Get powerful insights with customer feedback analytics for Retail & Ecommerce

Unify and analyze all your customer feedback, improve NPS and CSAT, and get insights on how to increase repeat purchases, reduce returns and improve the shopper experience.

Transform customer feedback into actionable intelligence

Unify customer feedback from any source:

Analyze unstructured text with Lyra AI:

Get powerful, granular customer insights:

Extract NPS, CSAT, and customer sentiment insights with ease

No need to spend hours manually analyzing feedback. Our cutting-edge AI models built for scale help you analyze surveys, reviews, social media, and support data without the manual workload.

Optimize your digital and in-store experiences

Get a 360-degree view of all your customer journeys, both in-store and online. Consolidate and analyze all your feedback to identify points of friction and improve the customer journey.

Uncover the specific reasons behind returns and spot product issues

Seeing increased return rates? Analyze returns surveys and customer support tickets to identify issues and adjust quickly.

Reduce the number of support contacts

If your team is overwhelmed by support requests, use AI to identify the biggest issues across all interactions and focus on solving the ones that will reduce contact volume.

Customer Success Story

James McGhee, Director of Customer Experience, Footasylum:

"Chattermill helped us reduce contacts per transaction by 42%, raise our Trustpilot rating from 3.9 to 4.4 and get a consistently high NPS of 80. Chattermill has been instrumental in achieving these results and keeping us connected with our customers."

Get granular insights from your feedback data

See how you can turn all your customer feedback into clear, connected insights that lead to action.

What to expect:

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