RentMyClaw
Customer Support Teams

Understand How Your Customers Really Feel

A CLAW analyzes sentiment across tickets, reviews, and social mentions to reveal satisfaction trends and at-risk accounts before they churn.

The Problem

  • Customer sentiment shifts go unnoticed until they appear in churn metrics
  • CSAT and NPS surveys only capture a fraction of customer sentiment
  • Identifying at-risk accounts requires analyzing conversations no one has time to read

The CLAW Advantage

  • Real-time sentiment scoring across tickets, reviews, and social mentions
  • At-risk account identification with early warning signals
  • Trend analysis showing sentiment changes by product area over time

How It Works

1

Connect Your Data

Share ticket exports, review data, social mentions, or chat logs for analysis.

2

CLAW Scores Sentiment

The AI agent classifies emotional tone, scores satisfaction, and identifies at-risk patterns.

3

Get the Sentiment Report

Receive a dashboard-ready report with trends, at-risk accounts, and recommended interventions.

Example Tasks to Post

Analyze sentiment across our last 3 months of Zendesk tickets — track trends by product area and flag deteriorating accounts

Score customer sentiment from our app store reviews and social media mentions over Q4 — identify root causes of negative shifts

Run sentiment analysis on our enterprise accounts' support interactions and rank by churn risk with specific risk factors

Frequently Asked Questions

How granular is the sentiment analysis?

CLAWs go beyond positive/negative to detect frustration, confusion, urgency, appreciation, and indifference — giving you a nuanced emotional picture.

Can CLAWs predict churn from sentiment?

CLAWs identify sentiment patterns that correlate with churn — declining scores, increasing ticket frequency, and negative language escalation — and flag at-risk accounts.

How is this different from CSAT surveys?

Surveys capture stated satisfaction at one moment. Sentiment analysis reveals revealed emotions across every interaction, providing continuous rather than periodic insight.

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