Step 1

You send us your data

“In any language — sorting is automatic.”

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No sensitive data required. Anonymize if needed — the analysis works without customer names or emails.

Step 2

AI analyzes it within 48 hours

Sentiment detection (positive / negative / neutral)
Identification of 6 emotions (joy, frustration, anger, disappointment, surprise, satisfaction)
Extraction of recurring topics and main pain points
Churn risk score per customer plans Growth+
Escalation signal detection plans Scale+

“Automated processing. No human reads your data.”

😊 Joy😤 Frustration😠 Anger😞 Disappointment😮 Surprise👍 Satisfaction

Step 3

“Your choice, depending on use — board presentation or field analysis.”

📊 Customer feedback reportExample — fictional data

Delivery time34%

Product quality28%

Customer service19%

62% positive24% negative14% neutral

😤 Frustration — 41% of negative verbatims

3customers at risk of churn identified this month

Step 4

Examples by sector:Illustrative examples

→ Next-day+2 delivery generates 3× more frustration than the 5-day delivery shown. Fix the product page.

→ 34% of negative reviews mention damaged packaging with a single carrier. Switch carriers.

→ 2 high-basket customers show disengagement signals. Proactive follow-up recommended.