Product Management · Marketing & Advertising

Analyse product metrics and find growth levers for Marketing & Advertising

Use this when growth stalls and you do not know why. Written for a marketing agency running campaigns for several clients.

Your prompt is ready 2 brackets to fill
You are a product analytics lead, working with brand managers and marketing directors at a marketing agency running campaigns for several clients.

## Goal
Find where users drop off and what would grow the product.

## What matters in Marketing & Advertising
- How customers decide: clients buy results and accountability; they judge ROI, ideas and how fast the agency responds; work is paid by retainer or per project; budgets are reviewed every quarter.
- Numbers that matter: cost per acquisition; return on ad spend; click-through rate; CPM; cost per lead; conversion rate; client retention; margin per account.
- Rules and standards that usually apply: advertising standards (FTC in the US, ASA in the UK, ASCI in India); clear labelling of paid and influencer content; consent rules for email, SMS and tracking (GDPR, CAN-SPAM, India's DPDP Act); trademark and copyright in creative work; Meta and Google ad policies.
- Tools commonly used: Google Ads; Meta Ads Manager; GA4; HubSpot; Canva or Figma; Semrush.
- Rules differ by country. If I have not said where I work, ask me, and do not present one country's law as if it applied everywhere.

## What I will give you
- Metrics: [SIGN-UPS, ACTIVATION, RETENTION, REVENUE DATA]
- Product and main user journey: [DETAILS]

## What to do
1. Build the funnel from first visit to paying user.
2. Find the biggest drop-offs.
3. Suggest hypotheses for each drop-off.
4. Rank experiments by impact and effort.
5. Define the north star metric.

## What to deliver
- Funnel table
- Drop-off analysis
- Experiment backlog
- North star metric definition

## Rules
- Keep client brand guidelines and advertising regulations in mind throughout, and point out anything in my plan that would break them.
- Where it fits, connect your recommendations to cost per acquisition and return on ad spend.
- Use plain language and short sentences. Use headings and tables where they make the answer easier to scan.
- Do not invent figures, laws, sources or quotes. Mark anything you had to assume with "Assumption:".
- If something important is missing, ask me up to 3 short questions before you start.

## Before you answer
Check your draft against this list and fix anything that fails:
- Each feature is tied to a user problem and a measurable outcome.
- It is written for a marketing agency running campaigns for several clients; nothing in it would read the same for any other business.
- Every item under "What to deliver" is included.
Open in ChatGPT Claude Perplexity

How to use this prompt

  1. Copy the prompt. Press Copy prompt and the full text goes to your clipboard.
  2. Fill the brackets. Use the form above, or replace [SIGN-UPS, ACTIVATION, RETENTION, REVENUE DATA], [DETAILS] with your own details.
  3. Paste and send. Paste it into ChatGPT, Claude, Gemini and Microsoft Copilot and send. Ask follow-up questions to refine the answer.

Why this prompt works

The “Analyse product metrics and find growth levers” prompt tells the assistant exactly what to hand back: funnel table; drop-off analysis; experiment backlog; and north star metric definition. It makes the assistant work through 5 steps in order, starting with "build the funnel from first visit to paying user", instead of jumping straight to an answer. Before replying, the assistant checks its draft against 3 tests and fixes anything that fails.

This version is written for a marketing agency running campaigns for several clients, so the assistant keeps client brand guidelines and advertising regulations in mind and judges the result by cost per acquisition and return on ad spend. If an important detail is missing, it asks you up to 3 short questions before it starts.

How to get the best answer

  1. Fill every bracket with real detail: [SIGN-UPS, ACTIVATION, RETENTION, REVENUE DATA], [DETAILS] should hold real names, numbers and dates, not placeholders.
  2. Paste real material: where the prompt asks for notes, data or text, paste the actual content rather than a summary.
  3. Refine in the same chat: ask "make it shorter", "turn it into a table" or "add more detail on step 2".
  4. Check the result: review it against what you know about cost per acquisition and return on ad spend before you share it.

Other industries

Same prompt for other industries

The same analyse product metrics and find growth levers prompt, rewritten for each industry.

FAQ

Frequently asked questions

Which AI assistant works best with the “Analyse product metrics and find growth levers” prompt?

The “Analyse product metrics and find growth levers” prompt works in any chat assistant and suits ChatGPT, Claude, Gemini and Microsoft Copilot best. Paste it in, send it, and ask follow-up questions in the same chat to refine the answer.

What do I fill in before sending the “Analyse product metrics and find growth levers” prompt?

Replace the 2 highlighted brackets – [SIGN-UPS, ACTIVATION, RETENTION, REVENUE DATA], [DETAILS] – with your own details. The more specific you are, the better the answer.

Is the “Analyse product metrics and find growth levers” prompt only for Marketing & Advertising?

No. This version is written for a marketing agency running campaigns for several clients, and the same prompt is also written for 15 other industries, listed on this page.

Is the “Analyse product metrics and find growth levers” prompt free to use?

Yes. First AI Prompt prompts are free to copy and use in personal and business work, with no sign-up, no account and no daily limit.

Can I trust the answer the “Analyse product metrics and find growth levers” prompt gives?

Treat it as a strong first draft: the prompt tells the assistant not to invent facts and to mark its assumptions, but check figures yourself, especially anything with legal, financial or safety consequences.

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