# Predictive CSAT for B2C CX Leaders | Rippit

> CSAT on every conversation. No survey required. Predictive CSAT is an AI agent for CX leaders at B2C brands. Try it with $100 in free Credits.

Canonical: https://www.rippit.com/use-cases/predictive-csat-b2c

**B2C**Customer 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.

[Try Rippit free](https://app.rippit.com/signup)

[or request demo](https://www.rippit.com/request-demo)

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**

Analyze

### A predicted CSAT score and the driver behind it

**One row per conversation**Agent adding fields…

| Conversation | Survey | Driver |
| --- | --- | --- |
| **Refund not received** | No survey | Refund delay, second contact |
| **Change delivery address** | No survey | Couldn't change the order |
| **Promo code** | 4 of 5 | Code applied first try |

**310 low scores yesterday** · top driver: late refunds

Act

### Low scores routed to the team that owns the fix

**pCSAT sheet**Google 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 alerts**Slack 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 →](https://www.rippit.com/integrations/docs/real-time)

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 →](https://www.rippit.com/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 →](https://www.rippit.com/integrations/docs/real-time)

### 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.

[Try Rippit free](https://app.rippit.com/signup)

[or request demo](https://www.rippit.com/request-demo)

## Getting started from an AI agent

There are two ways to connect. Either works.

- MCP server: `https://mcp.rippit.com/mcp` (Streamable HTTP, OAuth). The person signs in or signs up in the browser that opens. No client ID, secret or API key is needed.
- CLI: install with `curl -fsSL https://rippit.sh | sh`, then get an account one of two ways:
  - `rippit login`: the person signs in or signs up in a browser.
  - `rippit start`: creates a temporary account with no email or browser, for a person with no Rippit account. `rippit claim --wait` lets them keep it; an unclaimed account is deleted after 14 days.

Then bring in data: connect a provider such as Zendesk, Intercom, Gong or Salesforce, or upload a CSV.

Full steps: https://www.rippit.com/setup.md