Meta Ads Daily Pulse
Scan quotidien léger de Meta Ads — taux de consommation du budget, pacing vs. plan et les plus grandes anomalies du jour. Lecture en moins de 2 minutes
Pourquoi utiliser ce modèle
Utilisez cette skill de monitoring quand vous avez besoin de surveillance quotidienne pour vos campagnes Meta Ads.
Pour qui est-ce
Annonceurs et marketers Meta Ads qui veulent faire de la surveillance quotidienne.
Comment utiliser
Sélectionnez ce modèle et remplissez les détails de votre campagne. L'IA vous guidera étape par étape dans le processus de monitoring.
Meta Ads Daily Pulse
Required Credentials
| Credential | Where to Get | Used For | OAuth Scope |
|---|---|---|---|
| META_ACCESS_TOKEN | Meta Developer Console → Graph API Explorer → Generate Token | Fetching account and campaign insights | ads_read (read-only) |
| META_AD_ACCOUNT_ID | Ads Manager URL: adsmanager.facebook.com/act_XXXXXXXXX | Identifying which account to query | — |
When to Use
Use every morning or before any daily review meeting. This skill is a change detector — it answers: "Did anything important change overnight compared to the same day last week?"
Not sure which monitoring skill to use?
| meta-ads-daily-pulse | meta-ads-healthcheck | |
|---|---|---|
| Primary question | "Did anything change vs. last week?" | "Is this campaign healthy or not?" |
| Comparison basis | Same day of prior week (WoW) | Fixed Green/Yellow/Red thresholds |
| Best for | Daily routine, morning check, meeting prep | Something feels off — quick on-demand check |
| Output style | Change alerts ranked by revenue impact | Campaign-by-campaign status report |
Requirements
- account_id (required)
- date_range: yesterday (default) — fetches yesterday's data; compare to same day of prior week (WoW)
- campaign_ids (optional) — defaults to all active campaigns
Step 1: Pull Account Baseline
Fetch account-level metrics for yesterday and the same day of the prior week:
- Spend, impressions, results, ROAS
- CTR, CPC, CPM, frequency
- Conversions, cost per conversion
Use exec + curl to call the Meta Graph API:
Account-level (yesterday):
# Cross-platform date helper (Python, works on macOS and Linux):
YESTERDAY=$(python3 -c "from datetime import date, timedelta; print((date.today() - timedelta(days=1)).isoformat())")
SAME_DAY_LAST_WEEK=$(python3 -c "from datetime import date, timedelta; print((date.today() - timedelta(days=8)).isoformat())")
curl -G "https://graph.facebook.com/v21.0/act_$`{{META_AD_ACCOUNT_ID}}`/insights" \
-d "fields=spend,impressions,results,roas,ctr,cpc,cpm,frequency,conversion_rate" \
-d "time_range=`{{'since':'${YESTERDAY}}`','until':'$`{{YESTERDAY}}`'}" \
-d "access_token=$`{{META_ACCESS_TOKEN}}`"
Same day of prior week (7 days back):
# Same YESTERDAY and SAME_DAY_LAST_WEEK variables as above
curl -G "https://graph.facebook.com/v21.0/act_$`{{META_AD_ACCOUNT_ID}}`/insights" \
-d "fields=spend,impressions,results,roas,ctr,cpc,cpm,frequency,conversion_rate" \
-d "time_range=`{{'since':'${SAME_DAY_LAST_WEEK}}`','until':'$`{{SAME_DAY_LAST_WEEK}}`'}" \
-d "access_token=$`{{META_ACCESS_TOKEN}}`"
Campaign-level (yesterday, if you need per-campaign breakdown):
# Same YESTERDAY variable as above
curl -G "https://graph.facebook.com/v21.0/act_$`{{META_AD_ACCOUNT_ID}}`/insights" \
-d "fields=campaign_name,spend,impressions,results,roas,ctr,cpc,cpm,frequency" \
-d "level=campaign" \
-d "time_range=`{{'since':'${YESTERDAY}}`','until':'$`{{YESTERDAY}}`'}" \
-d "access_token=$`{{META_ACCESS_TOKEN}}`"
Important — Same Day of Prior Week comparison: Meta Ads performance follows day-of-week patterns (e.g., Tuesdays often differ from Saturdays). Always compare each day to its same day of prior week — not the prior day. Comparing to the prior day creates false alarms.
For each day in the date range, pull the equivalent day from 7 days prior:
- Monday this week → Monday last week
- Tuesday this week → Tuesday last week
- etc.
Step 2: Run Detection Checks
Run all four detection checks:
| # | Issue | Detection Logic |
|---|---|---|
| 1 | Spend without conversions | spend > 0 AND conversions = 0 |
| 2 | Week-over-week drop | CTR, ROAS, or CVR down > 20% vs same day of prior week |
| 3 | Budget cap + strong ROAS | spend > 80% daily budget AND ROAS > 2x account average |
| 4 | Creative fatigue | frequency > 3 AND CTR declining vs same day of prior week |
For each flag, calculate estimated revenue impact:
- Lost conversions = (prior period CVR − current CVR) × current impressions
- Revenue impact = lost conversions × average order value
Step 3: Prioritize by Revenue Impact
Sort alerts by estimated revenue impact. Do not exceed 3 items per section.
Step 4: Format Output
🚨 Critical
- [Campaign/Ad ID]: [Issue] | [Metric] | [Immediate action]
⚠️ Watch
- [Trending decline not yet critical]
✅ Healthy
- [Brief confirmation]
💡 Opportunity
- [Quick win if found]
Skill Boundary
- This is a detection tool only — do not output recommendations
- After flagging issues, route to meta-ads-recommendation for action plans
- If you need a full campaign-by-campaign status check (not change-focused), use meta-ads-healthcheck instead
Rules
- Always compare to the same day of prior week (not prior day — day-of-week patterns matter in Meta Ads)
- Include specific campaign/ad IDs and numbers in every line
- One immediate action per issue
- Do not re-fetch data if it was recently pulled in the same session