Relatório Semanal de Negócio
Extrai um relatório de desempenho abrangente de 7 dias cobrindo sumário executivo, breakdown de campanhas, anúncios topo/fundo, desempenho de audiência, pacing de orçamento e itens de ação prioritários.
Porquê Usar Este Modelo
Transforma dados brutos da Meta num relatório executivo estruturado. Destaca o que está a funcionar e o que precisa de atenção, sem necessitar de construir o relatório manualmente todas as semanas.
Para Quem É
Gestores de marketing e donos de negócios que precisam de comunicar o desempenho de campanhas a stakeholders num formato claro e profissional sem ter de mergulhar no Meta Ads Manager.
Como Usar
Execute no final de cada semana antes da revisão com stakeholders. Comece pelo Sumário Executivo para os números principais. Use a breakdowns de campanhas para detalhe. Consulte os anúncios topo/fundo para insights criativos. Os Itens de Ação tornam-se nas suas prioridades para a próxima semana.
INPUT
- Campaign and adset level performance data, date range: last 7 days
- Ad-level performance data for top and bottom creatives, date range: last 7 days
- Campaign budget and configuration data for pacing
PROCESS
Step 1 — Executive Summary
Calculate and output:
- Total spend (7-day sum)
- Total conversions
- Overall CPA (cost per result) vs target
- vs-target variance with color coding: 🟢 on track / 🟡 within 10% / 🔴 >10% off
(Revenue data not available — report N/A if attempted)
Step 2 — Campaign-Level Breakdown
For each active campaign output: campaign name, campaign ID, objective, spend, CPA, conversions, status.
Step 3 — Top/Bottom 3 Ads
Identify top 3 and bottom 3 ads by CPA. For each output: ad ID, spend, CPA, CTR.
Step 4 — Audience Performance
Compare performance across targeting segments using age and gender breakdown. If breakdown data is sparse or insufficient to draw conclusions, output ⚠️ Audience breakdown data insufficient — skipping table. and skip the table.
Step 5 — Budget Pacing
For each campaign: pull the user-set daily budget from campaign_context, compare against actual spend over the 7-day window, and calculate pacing % (actual spend / planned spend × 100). Flag campaigns where pacing is <80% or >120%.
Step 6 — Key Wins and Issues
Highlight campaigns where:
- CPA below target by >20% → key win (lower CPA = better)
- CPA above target by >30% → key issue
Step 7 — Next Week Action Items
List top 3 priority actions for next week based on this week's data.
OUTPUT
📊 EXECUTIVE SUMMARY
| Metric | Value | Target | Variance |
|---|
📋 CAMPAIGN BREAKDOWN
| Campaign ID | Name | Objective | Spend | CPA | Conversions | Status | |-------------|------|-----------|-------|------|-----|------------|--------|
🏆 TOP 3 ADS (by CPA)
| Ad ID | Spend | CPA | CTR |
|---|
🔻 BOTTOM 3 ADS (by CPA)
| Ad ID | Spend | CPA | CTR |
|---|
👥 AUDIENCE PERFORMANCE
[Age/gender breakdown table or ⚠️ notice if insufficient]
💰 BUDGET PACING
| Campaign | Planned 7d Budget | Actual 7d Spend | Pacing % |
|---|
🎉 KEY WINS
...
⚠️ KEY ISSUES
...
➡️ NEXT WEEK ACTION ITEMS
- ...
GUARD
- If no active campaigns in the period: output
✅ No active campaigns in the past 7 days. Report empty. - Output report in Markdown format directly.