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B2B · Product · For Product leaders and pricing owners · Also for B2C companies Pricing & Packaging Signals finds every conversation where customers hit a plan limit, ask for a feature on a higher tier, or question what’s included. It compares each one against your billing data and competitors’ pricing, and writes up the packaging changes worth testing, with the conversations behind them.

What it reads

Help desk tickets and chats, your AI agent’s conversations, sales and CS calls, usage and billing data through your warehouse, the Bulk API or a CSV, and web research on competitors’ pricing and public announcements, plus any other source you integrate or bring in through bulk ingest.

How it works

  1. Ingest. Every pricing moment, next to what the customer pays.
  2. Analyze. What each moment signals about your packaging.
  3. Act. Packaging changes worth testing, with the proof.

What you get

Packaging changes worth testing, with the conversations behind them.
  • Packaging candidates (Notion or Google Drive): 5 candidates, like SSO as an add-on, each with the accounts and conversations behind it.
  • Owner alerts (Slack or email): Pricing owner notified when a signal crosses 50 accounts.
  • Any tool you connect through MCP: Share each update in your product channel, or open a Linear issue to test a packaging change.

Build it

Tell Rippit chat to “set up a running list of packaging changes worth testing, from where customers hit plan limits,” 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

Any time a customer hits a plan limit, asks for something that lives on a higher tier, questions what’s included or what they’re paying for, or compares your price to a competitor’s. You can add your own, like discount requests.
It can. Along with packaging changes, like an add-on or moving a feature between tiers, it can suggest pricing based on market research and the other insights it’s gathered, with the evidence behind each one. Your pricing owner decides what to test.
A web research table checks competitors’ pricing pages, reviews and public posts each week and keeps only what is new, so each recommendation shows what others charge and what they include.
A doc for product and the pricing owner in Notion or Google Drive, with alerts in Slack, email or any tool you connect through MCP. It runs hourly, daily or weekly.