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templates.analyze

Meta Ads Lead Gen Analysis

Specialized analysis module for Meta lead generation campaigns

更新於 2026-05-15
在 GitHub 查看

為什麼使用此範本

Use this analysis skill when you need to lead gen analysis for your Meta Ads campaigns.

適用對象

Meta Ads advertisers and marketers who want to lead gen analysis.

使用方法

Select this template and fill in your campaign details. The AI will guide you through the analysis process step by step.

提示詞內容

Required Credentials

CredentialWhere to GetUsed ForOAuth Scope
META_ACCESS_TOKENMeta Developer Console → Graph API Explorer → Generate TokenFetching campaign and form integration dataads_read (read-only)
META_AD_ACCOUNT_IDAds Manager URL: adsmanager.facebook.com/act_XXXXXXXXXIdentifying which account to query

When to Use

When running lead generation campaigns and standard e-commerce analysis logic doesn't apply. Specifically for:

  • CPL is higher than expected or target
  • Lead volume is healthy but conversion rate to closed deals is low (quality problem)
  • LPV rate looks fine but form submit rate is unknown
  • CAPI may not be sending offline lead data back to Meta
  • Not sure if the problem is the ad, the audience, or the form itself

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.


Key Differences from E-commerce Analysis

MetricE-commerce BenchmarkLead Gen BenchmarkWhy It Differs
LPV Rate> 70% is healthy> 50% is healthyMany leads browse without intent to submit
Form Submit RateN/A> 20% is healthyForm friction is the primary drop-off point
CPLVaries by industryThe primary metricWhat you're actually paying for
CVR (post-click)Purchase rateLead-to-qualified rateMeta can't see what happens after form submit
Attribution1-day or 7-day click7-day click usuallyLonger window for consideration

Step 1: Gather Lead Gen Specific Data

Pull these metrics at the campaign and adset level:

  • Spend, impressions, CTR
  • LPV Rate (Landing Page View rate = landing page views / link clicks)
  • Form Submit Rate (if available — requires CAPI or form integration)
  • CPL (cost per lead)
  • Frequency
  • Lead volume vs. prior period

Also ask the user:

  • What does a "good lead" look like for their business?
  • What's their lead-to-close rate historically?
  • Are they using CAPI to send offline lead data back to Meta?

Step 2: CAPI Verification — Critical for Lead Gen

Without CAPI sending offline lead data back to Meta:

  • Meta is optimizing for form submissions, not qualified leads
  • CPL shown may be "form submit cost" not "actual lead cost"
  • The algorithm can't learn which leads actually convert

How to verify CAPI is connected:

  1. Go to Meta Events Manager → select your pixel
  2. Check "About CAPI" — status should be green/active
  3. Ask: are offline leads (calls, CRM-qualified leads) being sent back via CAPI?

If CAPI is NOT connected for offline leads:

  • This is a priority fix — it will lower CPL over 2–3 weeks
  • Recommend a CRM integration or Zapier/Make workflow
  • Or use Meta's Lead Forms (form submission = conversion automatically tracked)

Step 3: Audience Targeting Analysis for Lead Gen

Cold Audiences (Interest-Based Targeting)

  • Interest targeting works for cold audiences
  • Frequency builds fast — limit budget to avoid rapid fatigue
  • Test narrower interest layers (2–3 stacked interests, not broad categories)

Custom Audiences (Retargeting and Lookalikes)

  • Website visitors (pixel): typically highest conversion rate
  • Email lists (matched audiences): strong for existing customer re-engagement
  • Lookalikes (LAL): based on converter audiences, quality depends on seed list quality
  • Test LAL layers 1–3% first — wider LAL = lower quality but more volume

Step 4: Format Output

Lead Gen Health Summary:

  • Spend / CPL / Lead Volume
  • LPV Rate vs. benchmark (> 50% healthy for lead gen)
  • Form Submit Rate (if available)
  • CAPI Status (connected / not connected)

SECTION 1: CAPI Gap (if applicable)

State whether offline lead data is being sent to Meta. Impact: algorithm is optimizing for quantity, not quality.

SECTION 2: Audience Diagnosis

Diagnose targeting based on frequency and CPL — is the audience too broad or well-matched?

SECTION 3: Funnel Stage

Identify the CPL bottleneck stage:

  • LPV < 50% → Ad-to-Form disconnect
  • LPV ≥ 50% but low leads → Form friction (check form fields)
  • LPV and CVR OK but CPL high → Audience mismatch or CAPI not connected

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.


Session Context — What This Skill Writes

After completing analysis, store the following in session context:

KeyDescriptionExample
lp_diagnosisFunnel stage causing the CPL problem"Form friction — submit rate 12%, below 20% benchmark"
capi_statusWhether offline leads are being sent to Meta"Not connected — offline lead data not flowing"
cpl_breakdownWhich stage is the bottleneck"LPV 65% OK; Form submit 11% is the bottleneck"
recommended_fix_priorityRanked fix order"1. CAPI 2. Form fields 3. Audience"

meta-ads-recommendation reads these keys to produce the lead gen action plan.


Key Collision Resolution

⚠️ Key priority: meta-ads-analysis writes lp_diagnosis_general; this skill writes lp_diagnosis (the lead-gen-specific version). meta-ads-recommendation is configured to prefer lp_diagnosis when available — so running both skills in sequence does NOT cause overwriting. The two keys coexist.


Rules

  • Apply lead gen benchmarks, not e-commerce benchmarks
  • Always verify CAPI status before diagnosing CPL issues — missing CAPI is the most common cause of misleading CPL data
  • Do not recommend creative changes if form friction is the bottleneck
  • Do not recommend audience changes if LPV rate indicates a page problem
  • This is analysis only — recommendations route to meta-ads-recommendation

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