B2CProduct agent for product leaders and pricing owners

Pricing & Packaging Signals

Your customers are already telling you how to price.

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.

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The problem

Your pricing is leaving money on the table. You just can't see where.

Almost 60%

of U.S. consumers say they’d likely cancel their favorite streaming service if its monthly price went up $5.

Source: Deloitte Digital Media Trends (fall 2026, US consumers)
How it works

Recommended packaging changes, backed by customer and market signals

Three steps. It finds every pricing moment in your conversations, compares it against your billing data and the market, and recommends the changes worth testing.

Ingest

Every time a customer brings up price, next to what they pay

Help desk
Bot chats
Web research
Anything else
Rippit

Analyze

What each moment signals about your packaging

One row per pricing momentAgent adding fields…
ConversationPlanPoints to
“Can I add one more profile?”Standard planSell one extra profile
“Is offline only on Premium?”Standard planOffline as an add-on
“Another app gives me this free”Standard planTest it on the free tier
1,860 pricing moments this month · 4 candidates

Act

Packaging changes worth testing, with the proof

Packaging candidatesNotion or Google Drive

4 candidates, like an extra-profile add-on, each with the customers and conversations behind it.

Doc updated
Owner alertsSlack or email

Pricing owner notified when a signal crosses 500 customers.

Alert sent
+ Any connected MCP

Share each update in your product channel, or open a Linear issue to test a packaging change.

See MCP connections →
FAQ

Questions

What sources can it use?

Help desk tickets and chats, your AI agent’s conversations, sales and CS calls, usage and billing data through your warehouse, the Ingest 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. See integrations →

What counts as a pricing moment?

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.

Does it recommend prices?

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.

How does it use competitor pricing?

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.

Where do the results go?

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. See MCP connections →

Price on evidence, not anecdotes.

Connect your conversations and billing data, name your competitors, and get your first packaging candidates with the conversations behind them.

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