B2CMarketing agent for demand gen and lifecycle teams

Campaign & Promo Fallout Monitor

Catch confusion, redemption issues and bugs while it's still live.

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.

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The problem

Support hears what your campaign got wrong. Marketing finds out too late.

84%

of U.S. shoppers say promotions feel misleading or unclear at least some of the time.

Among shoppers who often feel misled, 45% cut back or stop shopping with that retailer.

Source: RELEX Promotional Trust Consumer Survey, conducted by Researchscape (1,051 U.S. shoppers, November 2025)
How it works

Every issue a campaign or promo causes, and how to fix it

Three steps. It ties every conversation to the campaign behind it, pinpoints each issue, and recommends the fix, from a copy change to a bug ticket.

Ingest

What customers said, next to what you told them

Help desk
Bot chats
Campaign briefs
Knowledge base
Web research
Anything else
Rippit

Analyze

Every contact traced to the campaign that caused it

One row per issueAgent adding fields…
IssueYour copyFix
“My code won't work in the app”Sale emailBug ticket for app checkout
“Code won't work on sale items”Sale emailSay “excludes sale items” up front
“Where's my free shipping?”Checkout bannerSay the $50 is after discounts
1,180 contacts tied to the fall sale · 4 fixes, 1 for engineering

Act

The fix in hand while the campaign is still live

Campaign reportSlack or email

1,180 contacts since launch, led by 412 about the promo code.

Report sent
Copy + FAQ fixes

3 changes, from the sale email to a new FAQ entry.

Fixes drafted
+ Any connected MCP

Draft a help center article in Intercom, or open a Jira ticket through a custom MCP connection.

See MCP connections →
FAQ

Questions

What sources can it use?

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. See integrations →

What kinds of issues does it find?

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.

How does it tie conversations to a campaign?

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.

Will it fix issues on its own?

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.

Where do the results go?

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. See MCP connections →

Fix promo issues before the tickets pile up.

Connect your support conversations and knowledge base, and get your first campaign report, with the fixes recommended.

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