# Pricing & Packaging Signals for B2C Teams | Rippit

> Your customers are already telling you how to price. Pricing & Packaging Signals is an AI agent for product and pricing leaders at B2C brands.

Canonical: https://www.rippit.com/use-cases/pricing-and-packaging-signals-b2c

**B2C**Product 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.

[Try Rippit free](https://app.rippit.com/signup)

[or request demo](https://www.rippit.com/request-demo)

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**

Analyze

### What each moment signals about your packaging

**One row per pricing moment**Agent adding fields…

| Conversation | Plan | Points to |
| --- | --- | --- |
| **“Can I add one more profile?”** | **Standard plan** | Sell one extra profile |
| **“Is offline only on Premium?”** | **Standard plan** | Offline as an add-on |
| **“Another app gives me this free”** | **Standard plan** | Test it on the free tier |

**1,860 pricing moments this month** · 4 candidates

Act

### Packaging changes worth testing, with the proof

**Packaging candidates**Notion or Google Drive

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

Doc updated

**Owner alerts**Slack 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 →](https://www.rippit.com/integrations/docs/real-time)

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 →](https://www.rippit.com/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 →](https://www.rippit.com/integrations/docs/real-time)

## 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.

[Try Rippit free](https://app.rippit.com/signup)

[or request demo](https://www.rippit.com/request-demo)

## Getting started from an AI agent

There are two ways to connect. Either works.

- MCP server: `https://mcp.rippit.com/mcp` (Streamable HTTP, OAuth). The person signs in or signs up in the browser that opens. No client ID, secret or API key is needed.
- CLI: install with `curl -fsSL https://rippit.sh | sh`, then get an account one of two ways:
  - `rippit login`: the person signs in or signs up in a browser.
  - `rippit start`: creates a temporary account with no email or browser, for a person with no Rippit account. `rippit claim --wait` lets them keep it; an unclaimed account is deleted after 14 days.

Then bring in data: connect a provider such as Zendesk, Intercom, Gong or Salesforce, or upload a CSV.

Full steps: https://www.rippit.com/setup.md