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B2C · Marketing · For Demand gen and lifecycle teams This agent reads the support conversations and bot chats that follow every campaign, promo or price change, and finds what customers ran into, from confusing terms and pain points to codes that won’t redeem. Marketing and support get a report with quotes and the recommended fix, whether that’s a copy change, a new FAQ or a bug for engineering.

What it reads

Support conversations, bot chats and internal chats, plus your knowledge base, like campaign briefs, offer terms and help articles, and any other source you integrate or bring in through bulk ingest.

How it works

  1. Ingest. What customers said, next to what you told them.
  2. Analyze. Every contact traced to the campaign that caused it.
  3. Act. The fix in hand while the campaign is still live.

What you get

A report with quotes and the recommended fix: a copy change, a new FAQ or a bug for engineering.
  • Campaign report (Slack or email): 1,180 contacts since launch, led by 412 about the promo code.
  • Copy + FAQ fixes: 3 changes, from the sale email to a new FAQ entry.
  • Any tool you connect through MCP: Draft a help center article in Intercom, or open a Jira ticket through a custom MCP connection.

Build it

Tell Rippit chat to “set up a report after each campaign, promo or price change on what customers ran into,” or ask your own AI assistant with Rippit connected. Rippit drafts it as a pipeline, tests it on a sample, and puts it live when you confirm. You can change what it reads, how it scores, who it notifies, and how often it runs at any time.

Questions

Anything customers run into because of a campaign: confusing terms, pain points, codes or offers that won’t redeem, and bugs, like a checkout that rejects a valid code. Each issue comes with the fix it needs, whether that’s a copy change, a new FAQ or a bug ticket for engineering.
You add your campaigns as a table, with dates, codes and offer terms. It matches each conversation to a campaign by when it happened and the code, offer or price the customer mentions, then checks the issue against what you told customers.
It can draft fixes. Once an admin turns on those write tools, it can write a help center article in Intercom or Pylon, or create a bug in Linear. Jira works through a custom MCP connection.
The report goes to marketing and support in Slack or email, or to a doc in Notion or Google Drive. It runs hourly, daily or weekly, so you can run it hourly on launch day and daily after.