O Gerador de Variantes de Copy Publicitario: Transforme um Briefing de Produto em Cinco Anuncios Prontos com Hipoteses de A/B Incorporadas
Porque é que este prompt importa
Teams that launch a single ad angle without structured variation routinely burn their entire test budget without learning anything useful. A flat or underperforming click-through rate on one ad tells you nothing about whether the product, the audience, or just that specific angle was the problem. Isolating what actually drives performance requires running genuinely different creative approaches in parallel — without that structure, marketers commonly spend thousands of dollars re-running minor wording tweaks on an ad that failed for a reason they never diagnosed, because every variant tested the same underlying angle.
Para que o usamos
You're the performance marketing manager at a 15-person direct-to-consumer skincare startup. Your CEO wants a paid campaign live on Meta and Google Search by tomorrow morning for a new $42 vitamin C serum, with a $5,000 weekly test budget approved. Marketing is a two-person team, nobody has bandwidth tonight to brainstorm five genuinely distinct ad angles from scratch, and the launch date isn't moving.
Prompt
Act as a senior performance marketing copywriter who has run and analyzed hundreds of paid ad campaigns across Meta, Google, and LinkedIn, and knows which psychological angles actually move click-through and conversion rates versus which just feel clever.
Context:
Product/service: [DESCRIBE WHAT YOU'RE ADVERTISING]
Target audience: [DESCRIBE WHO YOU'RE TARGETING — demographics, pain points, where they are in the buying journey]
Key offer or benefit: [THE SPECIFIC THING THAT MAKES THIS WORTH CLICKING, e.g. price, guarantee, unique feature]
Platform(s): [WHICH PLATFORMS, e.g. "Meta Feed" or "Google Search" — specify all that apply]
Brand voice notes: [ANY TONE CONSTRAINTS, e.g. "no exclamation points," "avoid hype language," "match a clinical/scientific tone"]
Task:
1. Write 5 distinct ad variants for the specified platform(s). Each variant must use a genuinely different psychological angle (examples: urgency/scarcity, social proof, curiosity gap, pain-point-first, benefit-led/direct) — not five rewordings of the same angle.
2. Label the specific psychological trigger each variant uses.
3. For each variant, write an A/B test hypothesis: what metric it's specifically testing, and why you'd expect it to perform differently from the other variants.
4. Flag any platform-specific compliance risk if the copy touches a sensitive category (health claims, financial claims, before/after imagery implications) — note which platform's policy is relevant.
5. Recommend which single variant to launch first if the budget only allows testing 2 at once initially, and explain the reasoning.
Constraints: Respect each platform's typical character limits for headline and body copy (state the limit you're working within). Do not use unverifiable superlatives ("best," "#1," "guaranteed") unless the brief explicitly supports the claim. Match tone conventions per platform — LinkedIn copy should read more professional than Meta Feed copy for the same product unless the brand voice notes say otherwise.
Output Format:
- 5 Ad Variants (each labeled: Platform | Headline | Body | Psychological Trigger)
- A/B Test Hypotheses (one per variant, numbered to match)
- Compliance Flags (only if applicable)
- Recommended First Test (one variant, with reasoning)Resultado
5 Ad Variants
1. Meta Feed | Headline: "Your skin doesn't need 12 steps. It needs the right one." Body: Vitamin C serum, formulated at 15% L-ascorbic acid for visible results in 4 weeks. $42, ships free. Trigger: Pain-point-first (simplification against routine fatigue)
2. Meta Feed | Headline: "11,400 people switched to this serum last month" Body: See why dermatology-backed vitamin C at 15% concentration is replacing 3-step routines. $42. Trigger: Social proof
3. Google Search | Headline 1: "15% Vitamin C Serum - $42" Headline 2: "Dermatologist-Formulated" Description: Clinically-dosed vitamin C serum. Visible results in 4 weeks or your money back. Free shipping on all orders. Trigger: Benefit-led/direct (search intent already exists, so lead with specs)
4. Meta Feed | Headline: "The vitamin C serum dermatologists actually recommend at 15%" Body: Most serums use 5-10% vitamin C — ours uses a clinically-dosed 15% L-ascorbic acid formula. See the difference in 4 weeks. Trigger: Curiosity gap + authority (most people don't know concentration varies this much)
5. Meta Feed | Headline: "Launch week: $42, normally $58" Body: Our 15% vitamin C serum is on introductory pricing through Sunday. 4-week visible-results guarantee. Trigger: Urgency/scarcity
A/B Test Hypotheses
- Variant 1 tests whether routine-fatigue messaging outperforms feature-led copy for an audience overwhelmed by multi-step skincare — expect higher CTR among users aged 35+ who've likely tried and abandoned complex routines.
- Variant 2 tests whether a specific, non-round social proof number (11,400 vs. "thousands") increases trust and click-through versus feature-first messaging.
- Variant 3 tests whether search-intent users convert better on direct spec/price copy versus emotional framing, since search traffic already has purchase intent unlike cold Feed traffic.
- Variant 4 tests whether a concentration-comparison curiosity gap ("most use 5-10%, ours uses 15%") drives higher engagement than straightforward social proof for a more skincare-literate audience segment.
- Variant 5 tests whether time-limited pricing urgency lifts conversion rate specifically among retargeting audiences who've already viewed the product page but hesitated.
Compliance Flags: "4-week visible-results guarantee" and "dermatologist-formulated" claims should be reviewed against Meta's health and beauty ad policy before launch — Meta requires substantiation for time-bound efficacy claims and will reject ads implying medical endorsement without verifiable credentialing. Confirm the guarantee language matches your actual return policy exactly.
Recommended First Test: Launch Variant 1 (pain-point-first) against Variant 2 (social proof) first. These test the most fundamentally different psychological approaches — problem-framing versus trust-signal-framing — giving you the clearest read on which broad message category resonates before spending budget refining within a category that might not work at all.
A maioria dos prompts escreva um anuncio para mim produz cinco versoes da mesma ideia com adjetivos diferentes trocados — o que parece produtivo mas nao ensina nada a uma equipe de marketing quando a campanha e executada, porque cada variante estava testando a mesma suposicao subjacente. Este prompt e construido especificamente para evitar esse modo de falha.
Por que este prompt e estruturado dessa forma
A lista de tarefas exige que cada variante use um angulo psicologico genuinamente diferente e rotula explicitamente o gatilho de cada uma — urgencia, prova social, curiosidade, ponto de dor, orientado a beneficio. Essa restricao existe porque, sem ela, um modelo questionado por 5 variantes de anuncios produzira de forma confiavel cinco versoes reformuladas de qualquer angulo que use por padrao primeiro, ja que esse e o caminho de menor resistencia. Forcar gatilhos psicologicos distintos e nomeados torna a variacao genuina o resultado padrao, em vez de algo que voce precisa detectar e corrigir depois.
A secao de Hipoteses de Teste A/B e o que separa isso de um prompt de copywriting simples. Cada variante vem com uma previsao explicita do que esta testando e por que deveria ter desempenho diferente — transformando cinco pecas de copy publicitario em um design de experimento real, em vez de apenas opcoes criativas. Quando os resultados chegam, voce ja tem uma hipotese para verificar os dados em vez de buscar padroes depois do fato.
A etapa de Alertas de Conformidade existe porque as plataformas de anuncios — particularmente a Meta — rejeitam ou restringem anuncios que tocam em alegacoes de saude, beleza e financeiras de forma muito mais agressiva do que a maioria dos profissionais de marketing espera, e um anuncio rejeitado durante uma janela de lancamento apertada custa tempo real. Pedir ao modelo que sinalize isso proativamente detecta isso antes do envio, em vez de depois de um aviso de rejeicao.
Como adaptar
Para um produto B2B apenas no LinkedIn, elimine o enquadramento de limite de caracteres especifico da plataforma e apoie-se mais na restricao de correspondencia de tom — o publico do LinkedIn responde a um registro mais profissional do que o copy do Meta Feed, e a secao de restricoes do prompt e o que impede o modelo de escrever copy casual estilo DTC para um publico empresarial de SaaS.
Se testar mais de 5 variantes nao for pratico para seu orcamento, a secao de Teste Recomendado Primeiro foi projetada para ser usada sozinha: execute-a como uma pergunta de acompanhamento rapida apos gerar o conjunto completo, perguntando especificamente quais duas variantes testam a suposicao subjacente mais diferente, ja que isso e o que fornece o resultado da primeira rodada mais informativo.