meta-ads-reporting-hub

name

meta-ads-reporting-hub

description

Generate and analyze Meta Ads reports for ecommerce - performance reports, metric analysis, attribution insights, executive summaries, and custom KPIs. Use when users ask for reports, dashboards, metrics explanation, attribution help, stakeholder updates, or performance summaries. Triggers include "generate report", "what does this metric mean", "attribution question", "report for my boss", "weekly summary", "monthly performance", "ROAS breakdown", "blended metrics", "MER calculation", "explain my data", "dashboard", or any reporting and analytics request.

Reporting Hub Skill

Generate comprehensive Meta Ads reports and translate performance data into actionable insights for ecommerce businesses.

Skill Overview

The Reporting Hub skill helps ecommerce businesses understand their Meta Ads performance through standardized reports, metric explanations, attribution clarity, executive-friendly summaries, and custom KPI frameworks. It bridges the gap between raw data and business decisions.

Core Principle: Data Storytelling (2026)

REPORTS SHOULD DRIVE ACTION

COMMON MISTAKE:
"Here are your numbers" (data dump)
→ Stakeholders confused
→ No clear next steps
→ Decisions delayed

BETTER APPROACH:
"Here's what happened, why, and what to do"
→ Context + insight + recommendation
→ Clear narrative
→ Immediate action items

KEY INSIGHT: 
The best report is one that answers questions before they're asked.
Every metric should connect to a business outcome.

When to Use This Skill

Use reporting-hub when:

• Generating daily, weekly, or monthly reports
• Explaining what a specific metric means
• Clarifying attribution windows and models
• Creating reports for non-technical stakeholders
• Calculating custom metrics (MER, Blended ROAS, nROAS)
• Building automated report templates
• Answering "how are my ads doing?"
• Translating performance data into business language

Reference Files

When to Load Each Reference

File	Load When
references/report-templates.md	Creating any standardized report (daily/weekly/monthly)
references/metric-definitions.md	User asks what a metric means, needs clarification
references/attribution-explained.md	Questions about attribution windows, conversions, tracking
references/executive-summaries.md	Reports for non-technical stakeholders, leadership updates
references/custom-metrics.md	Calculating MER, Blended ROAS, nROAS, contribution margin

Reporting Decision Tree

REPORTING REQUEST RECEIVED
│
├─► What type of report?
│   │
│   ├─► PERFORMANCE REPORT
│   │   │
│   │   ├─► Daily check-in
│   │   │   └─► Load: report-templates.md (daily section)
│   │   │       Quick health metrics, pacing, alerts
│   │   │
│   │   ├─► Weekly summary
│   │   │   └─► Load: report-templates.md (weekly section)
│   │   │       Trend analysis, creative winners, recommendations
│   │   │
│   │   └─► Monthly/Quarterly review
│   │       └─► Load: report-templates.md (monthly section)
│   │           Full performance, benchmarks, strategic insights
│   │
│   ├─► METRIC EXPLANATION
│   │   │
│   │   ├─► Standard Meta metrics (CPM, CTR, CPA, ROAS)
│   │   │   └─► Load: metric-definitions.md
│   │   │
│   │   ├─► Attribution questions
│   │   │   └─► Load: attribution-explained.md
│   │   │
│   │   └─► Custom/blended metrics
│   │       └─► Load: custom-metrics.md
│   │
│   ├─► EXECUTIVE/STAKEHOLDER REPORT
│   │   └─► Load: executive-summaries.md
│   │       High-level, business-focused, minimal jargon
│   │
│   └─► CUSTOM ANALYSIS
│       └─► Load relevant reference based on analysis type
│           May combine multiple references

Quick Report Framework

The 3-Part Report Structure

EVERY GOOD REPORT HAS:

1. WHAT HAPPENED (Performance Summary)
   - Key metrics vs targets
   - Trend direction (↑↓→)
   - Notable changes

2. WHY IT HAPPENED (Analysis)
   - Causal factors
   - Contributing elements
   - Context and comparisons

3. WHAT TO DO (Recommendations)
   - Clear action items
   - Priority order
   - Expected impact

Essential Metrics Hierarchy

TIER 1: BUSINESS METRICS (Report first)
├── Revenue (attributed + total)
├── ROAS / MER
├── Profit / Contribution Margin
└── New Customers / CAC

TIER 2: EFFICIENCY METRICS (Context)
├── CPA / CPP
├── CTR
├── CVR
└── CPM

TIER 3: VOLUME METRICS (Scale)
├── Spend
├── Impressions
├── Reach
├── Clicks
└── Conversions

REPORTING ORDER: Always lead with business impact, 
then efficiency, then volume.

Report Types Overview

Daily Report (Health Check)

PURPOSE: Catch issues early, verify pacing
TIME: 5-minute review
FREQUENCY: Daily

KEY QUESTIONS ANSWERED:
□ Is spend on pace?
□ Is CPA/ROAS within acceptable range?
□ Any delivery issues?
□ Anything needing immediate attention?

METRICS TO INCLUDE:
- Spend (actual vs budget)
- CPA / ROAS (vs target)
- Delivery status
- Any anomalies (>20% deviation)

Weekly Report (Performance Summary)

PURPOSE: Understand trends, identify winners/losers
TIME: 30-minute review
FREQUENCY: Weekly (same day each week)

KEY QUESTIONS ANSWERED:
□ Are we trending in the right direction?
□ What's working? What's not?
□ Any creative fatigue signals?
□ What should we do next week?

METRICS TO INCLUDE:
- Week-over-week comparison
- Campaign/ad set ranking
- Creative performance
- Funnel metrics (CTR, CVR breakdown)
- Recommendations for next week

Monthly Report (Strategic Review)

PURPOSE: Big picture performance, strategic adjustments
TIME: 1-2 hour deep dive
FREQUENCY: Monthly

KEY QUESTIONS ANSWERED:
□ Did we hit our targets?
□ What were the biggest drivers?
□ How does this month compare to last/LY?
□ What's the plan for next month?

METRICS TO INCLUDE:
- Month vs target vs last month vs LY
- Full funnel analysis
- Channel/campaign breakdown
- Customer acquisition summary
- Budget efficiency analysis
- Strategic recommendations

Attribution Quick Reference

Attribution Windows Explained

WHAT IS AN ATTRIBUTION WINDOW?

The time period after someone sees/clicks your ad 
where a conversion is credited to that ad.

DEFAULT SETTINGS (2026):
- 7-day click-through
- 1-day view-through (for conversions, not value)

WHAT THIS MEANS:
If someone clicks your ad on Monday 
and purchases on Saturday (6 days later),
that purchase is attributed to your ad.

If someone SEES your ad on Monday 
and purchases on Tuesday (1 day later) 
WITHOUT clicking, that's view-through.

Common Attribution Models

LAST-CLICK (Most Common):
Credit goes to last ad clicked before conversion
Pro: Simple, clear
Con: Ignores awareness touchpoints

FIRST-CLICK:
Credit goes to first ad that introduced customer
Pro: Values discovery
Con: Ignores conversion touchpoints

LINEAR:
Credit split equally across all touchpoints
Pro: Holistic view
Con: May not reflect true impact

DATA-DRIVEN (Platform default):
Algorithm determines credit distribution
Pro: Most sophisticated
Con: Black box, requires volume

Custom Metrics Quick Formulas

MER (Marketing Efficiency Ratio):
Total Revenue / Total Ad Spend
Use: Holistic efficiency across all channels
Note: Includes non-attributed revenue

BLENDED ROAS:
Total Revenue / Total Meta Spend
Use: Overall Meta efficiency including organic halo
Note: Higher than attributed ROAS

nROAS (New Customer ROAS):
New Customer Revenue / Total Ad Spend
Use: True acquisition efficiency
Note: Requires customer tagging

CAC (Customer Acquisition Cost):
Total Ad Spend / New Customers Acquired
Use: Cost to acquire each new customer
Note: Should be less than LTV

LTV:CAC RATIO:
Customer Lifetime Value / CAC
Target: 3:1 or higher for healthy business

CONTRIBUTION MARGIN:
(Revenue - COGS - Ad Spend) / Revenue
Use: True profitability after ads
Note: Most accurate P&L metric

Reporting Patterns

Pattern: Quick Performance Check

User: "How are my ads doing today?"

RESPONSE STRUCTURE:
1. Today's spend vs daily budget ($X of $Y, XX%)
2. CPA/ROAS vs target (performing at Xx vs Yx target)
3. Any issues? (Learning Limited, delivery problems)
4. Quick assessment (on track / needs attention / issue)

Pattern: Weekly Stakeholder Update

User: "I need to update my team on our Meta performance"

LOAD: executive-summaries.md
RESPONSE STRUCTURE:
1. One-sentence summary (how did we do?)
2. Key numbers (spend, revenue, ROAS)
3. Wins and challenges
4. Next week priorities
Keep under 5 bullet points

Pattern: Attribution Question

User: "Why does my ROAS look different in Meta vs Shopify?"

LOAD: attribution-explained.md
RESPONSE STRUCTURE:
1. Explain attribution window difference
2. Clarify what each platform counts
3. Explain why discrepancy exists
4. Recommend which to trust and why

Pattern: Custom Metric Calculation

User: "What's my true MER?"

LOAD: custom-metrics.md
RESPONSE STRUCTURE:
1. Define MER and why it matters
2. Calculate: Total Revenue / Total Ad Spend
3. Compare to attributed ROAS
4. Interpret the gap
5. Recommend which to use when

Report Output Formats

Metric Card Format

┌─────────────────────────────────┐
│ METRIC NAME                     │
│ ═══════════════                 │
│ Value: $X,XXX (or X.Xx)        │
│ vs Target: +/-XX% (↑/↓)        │
│ vs Last Period: +/-XX% (↑/↓)   │
│                                 │
│ Status: ● On Track / ○ Warning │
└─────────────────────────────────┘

Trend Table Format

WEEKLY TREND
                 W1      W2      W3      W4      Trend
Spend           $X,XXX  $X,XXX  $X,XXX  $X,XXX   →
Revenue         $X,XXX  $X,XXX  $X,XXX  $X,XXX   ↑
ROAS            X.Xx    X.Xx    X.Xx    X.Xx     ↓
CPA             $XX     $XX     $XX     $XX      →
New Customers   XXX     XXX     XXX     XXX      ↑

Executive Summary Format

META ADS PERFORMANCE SUMMARY
Period: [Date Range]
Prepared for: [Stakeholder]

═══════════════════════════════════

ONE-LINER:
[One sentence: How did we do?]

KEY NUMBERS:
• Spend: $X,XXX (X% of budget)
• Revenue: $X,XXX
• ROAS: X.Xx (vs X.Xx target)
• New Customers: XXX

HIGHLIGHTS:
✓ [Win 1]
✓ [Win 2]

CHALLENGES:
⚠ [Challenge 1]
⚠ [Challenge 2]

NEXT STEPS:
→ [Action 1]
→ [Action 2]

═══════════════════════════════════

Integration with Other Skills

Skill	Integration Point
performance-optimizer	Reports identify issues for optimization
campaign-launcher	Reports inform future campaign setup
media-planner	Reports validate media plan assumptions
creative-studio	Creative performance feeds creative briefs
account-auditor	Reporting reveals audit opportunities

Reporting Best Practices

1. CONSISTENCY: Same metrics, same format, same cadence
2. CONTEXT: Numbers without context are meaningless
3. COMPARISON: Always show vs target and vs prior period
4. ACTION: Every report should suggest next steps
5. AUDIENCE: Tailor depth to who's reading
6. TIMELINESS: Fresh data > perfect formatting
7. HONESTY: Report bad news clearly, with solutions
8. SIMPLICITY: If you can cut a metric, cut it

Error Handling

Scenario	Response
Data not available	Explain what's needed, suggest alternatives
Attribution confusion	Load attribution-explained.md, clarify
Metric not understood	Load metric-definitions.md, explain simply
Unrealistic expectations	Set appropriate benchmarks, show context
Report too complex for audience	Load executive-summaries.md, simplify
Missing historical data	Use available data, note limitations