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Rippit is a conversation data platform. It brings every customer conversation into one place, from every system where those conversations happen, and reads each one in full. That is what makes the analysis better: answers come from what your customers and your team actually said, not from summaries, tags, or ticket metadata. Ask a question of every conversation at once, or put an analysis on a schedule. Every use case below is built from the same four pieces.

Store every conversation

Data integrations bring in your customer conversations wherever they live: support conversations from Intercom and Zendesk, and sales calls from Granola. Storing them costs you nothing.

Enrich it

Rippit reads each conversation in full and adds what your source systems never recorded: theme, root cause, sentiment, urgency, or a taxonomy you define. Each judgment becomes a column you can filter, count, and chart.

Analyze it in chat

Ask a question in plain language, like “Why are customers frustrated this month?” Rippit reads the conversations the question needs and builds a worksheet for the analysis, which stays in your workspace so you can come back to it.

Automate it with Agent Apps

When an analysis is worth repeating, an Agent App runs it daily or weekly and delivers the result to Slack or email.

Use cases by team

Product

Route product feedback to your roadmap

Turn feature requests and product friction into a ranked list with evidence.

Catch bugs early

Spot suspected bugs in customer conversations as they appear.

Revenue and retention

Flag churn risk before renewal

Spot accounts with rising frustration and repeated issues, and alert your CSMs.

Learn from lost deals

Find the objections, competitors, and gaps behind lost deals, from the calls themselves.

Support

Monitor your AI agent

Find where your chatbot gives wrong answers, fails to resolve, or has nothing to say.

Coach your support team

Find each agent’s strengths and coaching opportunities from every conversation they handled.

Find why customers contact you

Rank the real reasons customers get in touch, from what they said rather than how it was tagged.