Act as a performance-marketing researcher specializing in Meta ads. Create a Facebook and Instagram ads research brief for my offer. Work from the supplied material only; do not claim access to live ad libraries, audience data, platform benchmarks, competitor results, or policy approval unless I provide it. - OFFER AND LANDING PAGE: [OFFER AND PAGE] - CAMPAIGN GOAL: [CAMPAIGN GOAL] - TARGET CUSTOMER: [TARGET CUSTOMER] - EXISTING EVIDENCE: [CUSTOMER EVIDENCE] - COMPETITOR OR MARKET EXAMPLES: [MARKET EXAMPLES] - CONSTRAINTS: [CONSTRAINTS] Produce: 1. A research summary that separates facts, reasonable hypotheses, and unknowns. Identify the buyer's triggering moment, desired outcome, objections, and current alternatives. 2. Five audience hypotheses. For each, specify the problem context, the message most likely to resonate, likely exclusions, and what evidence would validate it. Do not recommend sensitive personal-attribute targeting or infer sensitive traits. 3. Six ad-angle territories, each with a customer tension, proof needed, hook direction, suitable Meta format, and landing-page message match. Include at least one problem-aware, solution-aware, and proof-led angle. 4. A creative pattern analysis based on [MARKET EXAMPLES]: visual conventions, offer framing, claim style, and differentiation opportunities. Distinguish observed patterns from guesses. 5. A test matrix for the first campaign: objective, ad set hypothesis, creative variable, control, success metric, guardrail metric, and learning decision. Keep audience, offer, and creative changes isolated where possible. 6. A compliance and credibility checklist covering landing-page claim support, disclosures, prohibited or risky personal-attribute language, before-and-after claims, and testimonial permissions. Before answering, verify that each proposed claim is supported by [CUSTOMER EVIDENCE] or marked as a hypothesis. Flag missing landing-page elements that would break message continuity. Ask up to 3 clarifying questions only if a required input is missing.
Fill in
| Placeholder | What to enter | Example |
|---|---|---|
| [OFFER AND PAGE] | Describe the offer and paste the landing-page copy or URL content you intend to send traffic to. | Online strength-training membership with three 30-minute home workouts weekly and coach feedback; landing page emphasizes consistency for busy adults. |
| [CAMPAIGN GOAL] | State the campaign objective and conversion event, such as purchases, lead forms, or booked consultations. | Drive free seven-day trial registrations, measured by completed sign-up. |
| [TARGET CUSTOMER] | Describe the customer by situation, needs, and buying context without relying on sensitive personal attributes. | Adults returning to exercise who have limited time and prefer structured workouts at home. |
| [CUSTOMER EVIDENCE] | Paste verified reviews, research findings, approved testimonials, product facts, and performance data. | Approved reviews mention workout variety and coach accountability. We cannot claim weight-loss results or medical benefits. |
| [MARKET EXAMPLES] | Describe competitor ads, ad-library observations, or market examples you have personally collected. | We observed competitor ads using trainer-led vertical videos, workout clips, testimonials, and limited-time trial offers. |
| [CONSTRAINTS] | List budget, geography, offer restrictions, brand rules, legal requirements, and creative resources. | US only, $80 daily test budget, creator can film two vertical videos, no body-shaming or personal-attribute copy. |
How to use
- Paste the actual landing-page copy because the ad promise must match the post-click experience.
- Provide observations from the Meta Ad Library or your own swipe file, clearly marked as observations rather than results.
- Check the test matrix to ensure each test has one primary learning question and a defined decision rule.
- Follow up with: “Write three compliant ad concepts for angle two, each with primary text, headline, visual brief, and claim-support notes.”
Variations
Ad library coding
Use this after collecting ads and needing a structured way to compare them.
Analyze these observed Meta ads for [PRODUCT CATEGORY]: [AD OBSERVATIONS]. My offer is [OFFER], aimed at [AUDIENCE]. Code each example by hook, audience awareness stage, format, visual pattern, claim type, offer, CTA, and proof. Then identify recurring conventions, underused but credible angles, and three test hypotheses for my brand. Do not assume performance from visibility or duration. Flag claims that would require substantiation or may create policy risk.
Creative testing brief
Use this when a media buyer or creator needs clear concepts for a controlled first test.
Create a Meta creative testing brief for [OFFER] with conversion goal [GOAL]. Audience insight is [INSIGHT], approved proof is [PROOF], and assets available are [ASSETS]. Deliver six vertical-video or static-ad concepts in a table: hook, first three seconds or image, message sequence, proof, CTA, production notes, and the single variable being tested. Avoid personal-attribute framing, unsupported outcomes, and claims absent from the landing page.
Landing page alignment
Use this when ads are producing clicks but the page may not carry the message forward.
Compare these Meta ad concepts [AD COPY] with this landing page [LANDING PAGE] for [OFFER]. The target customer is [AUDIENCE] and the conversion event is [CONVERSION]. Find promise mismatches, missing proof, objection gaps, CTA friction, and message-order problems. Return a prioritized alignment plan, revised above-the-fold copy, and a checklist for each ad-to-page path. Preserve facts and clearly label any proposed proof that must be collected before publishing.
Tips
- Use the Meta Ad Library to observe messaging and formats, not to infer spend, targeting, or profitability from an ad's presence.
- A creative angle is the explanation for why the offer matters; changing the background footage while preserving the same explanation is not a meaningful angle test.
- Make the first seconds of a video match the audience's context or desired outcome, then show proof or mechanism before asking for a conversion.
- Keep health, financial, housing, employment, and personal-attribute claims under extra scrutiny. Platform policy and advertising law can both apply.
FAQ
Can ChatGPT research current Facebook ads on its own?
Not reliably without source material you provide. Paste ad-library observations, screenshots, customer research, and landing-page copy so it can analyze the evidence.
How many ads should I test first?
Test enough concepts to compare distinct message angles within your budget, while keeping the measurement window meaningful. A small set of clearly different creatives teaches more than many near-duplicates.
Can AI tell me which audience will convert?
It can create hypotheses based on your evidence, but only controlled campaign data can validate them. Treat audience recommendations as test plans, not predictions.