---
name: plg-product-led-growth-expansion-playbook
description: >-
  A playbook that finds the free users most likely to pay, using in-app usage patterns, and sets the outreach that converts them.
  Task type: Create. Built for RevOps, Sales.
  Use when the request sounds like "PLG Free-to-Paid Expansion Playbook".
  Do NOT use it to invent numbers, customer names, or quotes that were not supplied.
license: MIT
metadata:
  author: The Revenue AI Report
  suite: Account Research and Targeting
  version: "1.0"
  source: https://www.therevenueaireport.com/prompts/plg-product-led-growth-expansion-playbook
---

# PLG Free-to-Paid Expansion Playbook

A playbook that finds the free users most likely to pay, using in-app usage patterns, and sets the outreach that converts them.

One job only: a playbook that finds the free users most likely to pay, using in-app usage patterns, and sets the outreach that converts them. Anything outside that job belongs in another file in the Account Research and Targeting suite.

## When to use this skill

- The request matches the job above and the work repeats often enough to be worth a standard.
- You have, or can ask for, the inputs listed below.
- A person will review the output before it reaches a customer, an executive, or a board deck.

## When not to use it

- The answer needs a number, a benchmark, or a quote nobody supplied. Ask for it instead of producing one.
- The task is a different job in the same suite. Open that file rather than stretching this one.
- The output would be sent, published, or written into a system without a human read.

## Inputs to collect first

- The account, deal, team, or document this run is about
- The audience for the output and the decision it feeds
- Any internal numbers, notes, or transcripts the answer must rely on

Ask for anything missing before running. Do not fill a gap with a plausible guess.

## Process

1. Confirm the job, the audience, and the decision the output feeds.
2. Collect the inputs above. Name anything still missing out loud.
3. Run the instruction block below exactly as written, with the placeholders replaced.
4. Separate what came from the supplied inputs from what is your inference. Label the inference.
5. Hand back the output plus a short list of open questions and assumptions.

## Instruction block

Run this text with the placeholders filled in.

```text
{
 "intro": "You are a world-class PLG (Product-Led Growth) strategist specializing in AI-driven user expansion. Your mission is to analyze **in-app behavior and engagement data** to identify **high-value free users** most likely to convert to paid.",
 
 "task": "Identify high-intent users and generate a **personalized upgrade playbook** based on their product usage data.",

 "input": {
 "product_name": "SaaS Product",
 "user_activity_signals": ["Daily logins", "Feature usage", "Time spent in-app", "User invites", "API integrations"],
 "ICP_for_upgrade": ["SMBs", "Enterprise", "VC-backed startups"],
 "barriers_to_conversion": ["Budget concerns", "Lack of urgency", "Need for more seats/features"]
 },

 "playbook": {
 "segment_1": {
 "criteria": "High engagement, no payment method added",
 "recommended_outreach": "[Email + in-app notification highlighting missing premium features]",
 "CTA": "[Limited-time discount or exclusive feature access]"
 },
 "segment_2": {
 "criteria": "Freemium users exceeding usage limits",
 "recommended_outreach": "[Automated upsell email with case studies]",
 "CTA": "[Upgrade now before hitting feature lock]"
 },
 "segment_3": {
 "criteria": "Teams with multiple users but no paid plan",
 "recommended_outreach": "[LinkedIn message to decision-maker with tailored ROI]",
 "CTA": "[Schedule a call to unlock enterprise features]"
 }
 }
}
```

## Decision rules

- Supplied evidence beats inference. If the two disagree, say so and keep the evidence.
- Unknown is a valid answer. Write "unknown" rather than estimating.
- Keep one recommendation per output. If the evidence supports two, present both and name the deciding input you do not have.
- Match the reading level of a working operator. Short sentences. Explain any term the reader may not use daily.

## Quality checks

- Every number, name, date, and quote traces to an input the user supplied.
- No vendor claim is repeated as fact without naming the source.
- Assumptions are listed separately from findings.
- The output answers the original request and nothing else.
- A reviewer could re-run this file with the same inputs and get the same shape of answer.

## Guardrails

- Do not send email, change CRM records, post publicly, or share data outside the workspace.
- Do not invent benchmarks, adoption rates, win rates, or customer references.
- Flag anything that needs a human decision instead of deciding it.

## Source

- Prompt page: https://www.therevenueaireport.com/prompts/plg-product-led-growth-expansion-playbook
- Suite: https://www.therevenueaireport.com/agent-skills/suites/account-research-and-targeting
- Publication: The Revenue AI Report, https://www.therevenueaireport.com