Specialized analysis module for Meta lead generation campaigns
Use this analysis skill when you need to lead gen analysis for your Meta Ads campaigns.
Meta Ads advertisers and marketers who want to lead gen analysis.
Select this template and fill in your campaign details. The AI will guide you through the analysis process step by step.
| Credential | Where to Get | Used For | OAuth Scope |
|---|---|---|---|
| META_ACCESS_TOKEN | Meta Developer Console → Graph API Explorer → Generate Token | Fetching campaign and form integration data | ads_read (read-only) |
| META_AD_ACCOUNT_ID | Ads Manager URL: adsmanager.facebook.com/act_XXXXXXXXX | Identifying which account to query | — |
When running lead generation campaigns and standard e-commerce analysis logic doesn't apply. Specifically for:
Lead gen has fundamentally different metrics than e-commerce — standard CVR and LPV benchmarks don't apply. Use this skill instead of applying e-commerce logic to lead gen campaigns.
| Metric | E-commerce Benchmark | Lead Gen Benchmark | Why It Differs |
|---|---|---|---|
| LPV Rate | > 70% is healthy | > 50% is healthy | Many leads browse without intent to submit |
| Form Submit Rate | N/A | > 20% is healthy | Form friction is the primary drop-off point |
| CPL | Varies by industry | The primary metric | What you're actually paying for |
| CVR (post-click) | Purchase rate | Lead-to-qualified rate | Meta can't see what happens after form submit |
| Attribution | 1-day or 7-day click | 7-day click usually | Longer window for consideration |
Pull these metrics at the campaign and adset level:
Also ask the user:
Without CAPI sending offline lead data back to Meta:
How to verify CAPI is connected:
If CAPI is NOT connected for offline leads:
Lead Gen Health Summary:
State whether offline lead data is being sent to Meta. Impact: algorithm is optimizing for quantity, not quality.
Diagnose targeting based on frequency and CPL — is the audience too broad or well-matched?
Identify the CPL bottleneck stage:
LP Landing Page diagnosis: The full LP disconnect diagnostic (Step 4a–4d) lives in meta-ads-recommendation → Step 4. This skill identifies the funnel stage; recommendation prescribes the fix.
After completing analysis, store the following in session context:
| Key | Description | Example |
|---|---|---|
| lp_diagnosis | Funnel stage causing the CPL problem | "Form friction — submit rate 12%, below 20% benchmark" |
| capi_status | Whether offline leads are being sent to Meta | "Not connected — offline lead data not flowing" |
| cpl_breakdown | Which stage is the bottleneck | "LPV 65% OK; Form submit 11% is the bottleneck" |
| recommended_fix_priority | Ranked fix order | "1. CAPI 2. Form fields 3. Audience" |
meta-ads-recommendation reads these keys to produce the lead gen action plan.
⚠️ Key priority:
meta-ads-analysiswriteslp_diagnosis_general; this skill writeslp_diagnosis(the lead-gen-specific version).meta-ads-recommendationis configured to preferlp_diagnosiswhen available — so running both skills in sequence does NOT cause overwriting. The two keys coexist.
Didoo AI দিয়ে আপনার Meta Ads ওয়ার্কফ্লো স্বয়ংক্রিয় করুন — কোনো ক্রেডিট কার্ড লাগবে না।
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