El Generador de Variantes de Copy Publicitario: Convierte un Brief de Producto en Cinco Anuncios Listos con Hipotesis de A/B Incorporadas
Por qué importa este prompt
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 qué lo 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.
La mayoria de los prompts escribeme copy publicitario producen cinco versiones de la misma idea con adjetivos diferentes intercambiados — lo cual se siente productivo pero no le ensena nada a un equipo de marketing cuando la campana se ejecuta, porque cada variante estaba probando la misma suposicion subyacente. Este prompt esta disenado especificamente para evitar ese modo de fallo.
Por que este prompt esta estructurado de esta manera
La lista de tareas requiere que cada variante use un angulo psicologico genuinamente diferente y etiqueta explicitamente el disparador de cada una — urgencia, prueba social, curiosidad, punto de dolor, orientado al beneficio. Esta restriccion existe porque sin ella, un modelo al que se le pide 5 variantes de anuncios producira de manera confiable cinco versiones reformuladas de cualquier angulo que use por defecto primero, ya que ese es el camino de menor resistencia. Forzar disparadores psicologicos distintos y nombrados hace que la variacion genuina sea el resultado predeterminado en lugar de algo que tienes que detectar y corregir despues.
La seccion de Hipotesis de Prueba A/B es lo que separa esto de un prompt de copywriting simple. Cada variante viene con una prediccion explicita de que esta probando y por que deberia rendir de manera diferente — convirtiendo cinco piezas de copy publicitario en un diseno de experimento real en lugar de solo opciones creativas. Cuando llegan los resultados, ya tienes una hipotesis contra la cual verificar los datos en lugar de buscar patrones despues del hecho.
El paso de Alertas de Cumplimiento existe porque las plataformas publicitarias — particularmente Meta — rechazan o restringen anuncios que tocan afirmaciones de salud, belleza y financieras de manera mucho mas agresiva de lo que la mayoria de los especialistas en marketing esperan, y un anuncio rechazado durante una ventana de lanzamiento ajustada cuesta tiempo real. Pedirle al modelo que senale esto de manera proactiva lo detecta antes del envio en lugar de despues de un aviso de rechazo.
Como adaptarlo
Para un producto B2B solo en LinkedIn, elimina el encuadre de limite de caracteres especifico de la plataforma y apoyate mas en la restriccion de coincidencia de tono — las audiencias de LinkedIn responden a un registro mas profesional que el copy de Meta Feed, y la seccion de restricciones del prompt es lo que evita que el modelo escriba copy de estilo casual DTC para una audiencia empresarial de SaaS.
Si probar mas de 5 variantes no es practico para tu presupuesto, la seccion de Prueba Recomendada Primero esta disenada para usarse por si sola: ejecutala como una pregunta de seguimiento rapida despues de generar el conjunto completo, preguntando especificamente cuales dos variantes prueban la suposicion subyacente mas diferente, ya que eso es lo que te da el resultado de primera ronda mas informativo.