B2CCustomer experience agent for CX leaders

Predictive CSAT

CSAT on every conversation. No survey required.

Survey CSAT speaks for the small slice of customers who answer. Predictive CSAT scores every ticket, chat and call your team and AI agent handle, surveyed or not, so your CSAT represents every voice, not just the ones that are the loudest.

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The problem

Most customers skip the survey. The unhappy ones just leave.

7.5%

is the median response rate for CSAT surveys.

Source: Survicate, CSAT Survey Benchmarks (560 surveys from 145 companies, 2025 data)
How it works

The score each customer would have given, and why

Three steps. It reads every conversation and the account behind it, scores it based on your definition of a great experience, and distributes the results.

Ingest

Every conversation, not just the ones surveyed

Help desk
AI agent
Knowledge base
Anything else
Rippit

Analyze

A predicted CSAT score and the driver behind it

One row per conversationAgent adding fields…
ConversationSurveyDriver
Refund not receivedNo surveyRefund delay, second contact
Change delivery addressNo surveyCouldn't change the order
Promo code4 of 5Code applied first try
310 low scores yesterday · top driver: late refunds

Act

Low scores routed to the team that owns the fix

pCSAT sheetGoogle Sheets or Notion, updated daily

pCSAT 3.9 on all 7,400 conversations · survey CSAT 4.4. Biggest lift: fast chat replies. Biggest drag: late refunds.

Dashboard updated
Driver alertsSlack channel of the owning team

Late refunds: 96 low scores, sent to the payments team with examples.

Alerts sent
+ Any connected MCP

Post the weekly driver report to Notion or Google Drive, or open a Linear issue for the team that owns the fix. Jira works through a custom MCP connection.

See MCP connections →
FAQ

Questions

What sources can it use?

Help desk tickets, chats and emails, call recordings, and your AI agent’s conversations through Rippit’s integrations. Usage and billing come through your warehouse or the Ingest API, and help center articles as a table. Survey scores that come with your tickets are read too. See integrations →

How does it predict a score?

You set what a great experience means for your business, like a fast fix or no repeat contacts. It reads the whole conversation and scores it 1 to 5 against that.

What counts as a driver?

The main reason behind a low score, like a billing error, a slow handoff or a wrong answer from the knowledge base. Drivers are grouped so you can see which ones move the score most, by channel and by who handled it, a rep or your AI agent.

Where do the results go?

A pCSAT sheet in Google Sheets or Notion, plus each day’s low scores in Slack or email. Through MCP, it can also post reports to Notion or Google Drive, or open a Linear issue. Jira needs a custom MCP connection. It runs every morning by default, and you can change the schedule. See MCP connections →

Does it replace our CSAT survey?

No. Keep the survey. Predictive CSAT scores every conversation, including the surveyed ones, so your survey stops being the only read on how customers feel.

Hear from the customers who never answer the survey.

Connect your conversations, AI agent and customer data, and get tomorrow's low-score list, with what drove each one.

Paste in your AI agent

Copy this line into ChatGPT, Claude, Gemini or your coding agent. It takes it from there.

Set me up with rippit.com
Try Rippit free
or request demo