Three copy-paste Claude prompts plus a 10-hook swipe file. No setup, no fluff. Paste and go.
Most people run Meta ads on gut feel: keep what feels like it's working, kill what feels slow, guess at the next creative. This playbook replaces the gut feel with three prompts that turn Claude into an ads analyst, a creative machine, and a hook library, all in one chat.
What it does: Takes your Meta ads data and returns a structured audit: what to kill, what to scale, what to iterate, what's working across the account, and what's missing entirely. Three concrete actions for the next 7 days.
How to use it: Paste the prompt below into Claude. After the prompt, paste your campaign data. Claude returns the audit in about 30 seconds.
Where to get the data: Meta Ads Manager → select last 30 days → Export → CSV. Or screenshot the campaign view if there's not much going on.
Act as a senior performance marketer who has managed significant Meta ad spend. I'll paste my campaign data below. Return a structured audit covering: 1. KILL list. Which ads are draining budget without ROAS justification? Frequency too high? CTR too low? CPM out of line? Be specific about why each one goes. 2. SCALE list. Which ads are showing strong ROAS with room to grow? What's the next 7-day budget recommendation for each (percentage increase, not flat number)? 3. ITERATE list. Which ads have signal but aren't winning yet? For each, name the single biggest variable to test next: hook, creative format, audience, or offer. 4. Pattern read. What hooks, angles, and offers are working across the account? What's not? What's missing entirely from my testing matrix? 5. Next 7 days. Three concrete actions I should take this week, ranked by impact. Use these benchmarks as context (don't quote them in the output, just use them to judge): - Strong ROAS: 3x+ for ecom, 5x+ for low-ticket digital, breakeven OK for high-ticket if pipeline is healthy - Frequency: kill at 3.5+ unless retargeting - CTR floor: 1.0% on cold, 2.0% on warm - Strong CPC: under $1.50 cold, under $0.80 warm If data is missing for any of these, flag it and tell me what I need to pull next. Here's my data: [paste your Ads Manager export below]
What it does: Takes one ad that's working and generates 30 variants across 5 strategic categories: hook angle, format, length, CTA, and audience. You get a structured table you can paste straight into your testing spreadsheet.
How to use it: Paste the prompt into Claude, then paste your winning ad copy after it. Claude returns 30 variants organized by category.
Act as a senior performance marketer with deep Meta ad spend experience. Below is my winning ad. Generate 30 variant ad copies I can test, organized into 5 categories of 6 variants each: 1. Hook angle variants. Six different hook angles: curiosity, fear of missing out, contrarian take, social proof, specificity, direct benefit. 2. Format variants. Six different formats: story, listicle, question, testimonial, before-after, data-led. 3. Length variants. Six different lengths: one-liner, two-line, short paragraph, mini-story, long-form, multi-line scannable. 4. CTA variants. Six different CTAs: soft, hard, question, urgency, social-proof close, no-CTA. 5. Audience variants. Six rewrites for different audience temperatures: skeptics, beginners, advanced operators, mid-funnel, cold, retargeted. For every variant: - Keep the brand voice from the original (study it before drafting) - Match the same offer and value prop - Don't invent claims I haven't made - Don't use any of these clichés: "in today's world," "let's dive in," "the truth is," "unlock," "game-changer," "revolutionary," excessive exclamation points Output as a markdown table with columns: Variant #, Category, Sub-angle, Copy. Here's my winning ad: [paste your winning ad copy below]
10 hook structures, a real-feeling example for each, and when to use it.
The honest bit: These prompts turn data you already have into a faster decision. They don't replace having a real offer or real ad spend to learn from. Claude reads the numbers you paste in. It doesn't pull live Ads Manager data on its own. Run the audit weekly, not once, and let the KILL list actually change your budget.
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