Documentation
Connect your marketing data to Claude, ChatGPT and other LLMs.
Prompts de workflows — Meta Ads
Workflows probados, contextualizados a tus datos. Inicia sesión para lanzarlos desde el hub con tu propia selección de cuenta/campaña, o copia el prompt resuelto en Claude, ChatGPT o Cursor.
Las plantillas de prompts completas están reservadas a usuarios con sesión iniciada y cuenta Meta Ads conectada. Resuelven tus IDs reales de cuentas / campañas para que la IA tenga el contexto correcto.
Abre una cuenta conectada en /accounts/{id}/insights, luego haz clic en «AI analysis» — elige una plantilla de workflow o escribe tu propia pregunta. La IA responde con tus datos en vivo.
Cada workflow indica el problema concreto que resuelve y el entregable que obtienes. El prompt exacto se revela una vez con sesión iniciada.
1 — Morning ROAS check
You need a 2-minute daily scan to catch campaigns with fatigued creatives or dropping ROAS before budget is wasted.
ROAS / frequency / CPM summary with flagged campaigns (ROAS < 1.5 or frequency > 4).
2 — Creative fatigue scan
Creatives burn out after 1-2 weeks but you can't tell which ones to pause vs which to keep running.
List of ads with week-over-week ROAS drop > 30% + clear recommendation (pause or refresh).
3 — Audience breakdown ROAS
Your targeting is broad and you suspect some age/gender segments are ROAS killers — but can't prove it.
Top 3 winners + top 3 losers by ROAS with specific bid-adjust or exclusion recommendations.
4 — Placement optimization
Advantage+ placements mix Feed, Stories, Reels, Marketplace — some are expensive and bad at converting.
Placement-level performance with exclusion candidates (CPM > 2× avg AND ROAS below average).
5 — Budget shift recommendation
Hard to see momentum at the campaign level — who's rising, who's falling, where to reallocate.
Risers vs decliners classification + dry-run simulation of +50% budget on top risers.
6 — Ad set vs ad set comparison
Inside a single campaign, one ad set carries most of the performance but budget is spread evenly across all of them.
Winner identification + recommendation to pause underperforming ad sets (ROAS gap > 30%).
