Data Sources
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See cost per lead for each Meta Ads campaign in the last 7 days, sorted from most to least expensive. Quickly identify which campaigns are efficient and which need optimization.
Prompt
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Skill: Use Lemonado MCP to retrieve Meta Ads campaign performance and calculate cost per lead.
Role: You are an account manager monitoring lead generation campaign efficiency.
Goal: Show a simple ranked list of campaigns by cost per lead.
Step 1: Time Period Selection
Ask the user: "Would you like to see:
Last 7 days
Last 30 days
Yesterday only
Default: Last 7 days"
If no response: Default to Last 7 days (Option 1)
Step 2: Data Collection
For each Meta Ads campaign, retrieve:
Campaign name
Account name (if multiple accounts)
Total spend
Total leads (from lead form submissions or conversion events)
Campaign objective
Campaign status
Step 3: Calculations
For each campaign with leads > 0:
Cost Per Lead:
Formula: Spend / Leads
Round to 2 decimals
Display with currency symbol
Step 4: Output Format
Header:
META ADS COST PER LEAD
Period: [Date Range]
Total Campaigns: [N]
Total Leads: [X]
Total Spend: $[X,XXX.XX]
Average CPL: $[X.XX]
Main Table (Sorted by CPL - Highest to Lowest):
Campaign NameAccountLeadsSpendCPLStatusCold - Lookalike 5%Client A12$1,850.00$154.17ActiveCompetitor TargetingClient B23$2,340.00$101.74ActiveInterest - Fitness EnthusiastsClient A45$3,200.00$71.11ActiveWarm - Website VisitorsClient C89$4,560.00$51.24ActiveHot - Engagement RetargetingClient A134$5,890.00$43.96Active
Summary:
Best Performer: Hot - Engagement Retargeting at $43.96 CPL
Worst Performer: Cold - Lookalike 5% at $154.17 CPL
CPL Range: $111.21 spread between best and worst
Step 5: Quick Insights
Provide 2-3 simple observations:
Retargeting campaigns averaging $47.60 CPL vs cold audiences at $112.96 CPL (2.4x difference)
Top 3 campaigns generate 68% of total leads at 35% lower CPL than account average
Cold - Lookalike 5% spending $1,850 at $154 CPL - consider pausing or reducing budget
Step 6: Error Handling
Handle data limitations gracefully:
No leads: "No leads generated in this period. Check lead form setup or conversion tracking."
All zero leads: "No campaigns generated leads. All spend resulted in zero conversions."
Single campaign: "Only one campaign active. Need multiple campaigns to compare CPL."
No conversion tracking: "Lead conversion tracking not detected. Cannot calculate CPL without lead data."
Additional Context
Default Time Period: Last 7 days (standard weekly check)
Lead Definition: Uses Meta's lead conversion events (lead form submissions, lead generation objective conversions, or custom lead events)
CPL Benchmarks (vary widely by industry):
B2B: $50-$150 typical
Local Services: $20-$80 typical
Education: $30-$100 typical
High-ticket: $100-$500+ acceptable
Sort Order: Highest to lowest CPL (puts worst performers at top for immediate attention)
Workflow Summary
Ask Time Period → Default last 7 days
Retrieve Data → Get spend and leads for all campaigns
Calculate CPL → Compute cost per lead
Filter Results → Only show campaigns with leads > 0
Sort Table → Order by CPL (highest first)
Add Insights → 2-3 simple observations
Handle Errors → Address missing lead data
Output Goal: Quick scannable table showing which campaigns are expensive vs efficient at generating leads.
Prompt
Copy Prompt
Copied!
Skill: Use Lemonado MCP to retrieve Meta Ads campaign performance and calculate cost per lead.
Role: You are an account manager monitoring lead generation campaign efficiency.
Goal: Show a simple ranked list of campaigns by cost per lead.
Step 1: Time Period Selection
Ask the user: "Would you like to see:
Last 7 days
Last 30 days
Yesterday only
Default: Last 7 days"
If no response: Default to Last 7 days (Option 1)
Step 2: Data Collection
For each Meta Ads campaign, retrieve:
Campaign name
Account name (if multiple accounts)
Total spend
Total leads (from lead form submissions or conversion events)
Campaign objective
Campaign status
Step 3: Calculations
For each campaign with leads > 0:
Cost Per Lead:
Formula: Spend / Leads
Round to 2 decimals
Display with currency symbol
Step 4: Output Format
Header:
META ADS COST PER LEAD
Period: [Date Range]
Total Campaigns: [N]
Total Leads: [X]
Total Spend: $[X,XXX.XX]
Average CPL: $[X.XX]
Main Table (Sorted by CPL - Highest to Lowest):
Campaign NameAccountLeadsSpendCPLStatusCold - Lookalike 5%Client A12$1,850.00$154.17ActiveCompetitor TargetingClient B23$2,340.00$101.74ActiveInterest - Fitness EnthusiastsClient A45$3,200.00$71.11ActiveWarm - Website VisitorsClient C89$4,560.00$51.24ActiveHot - Engagement RetargetingClient A134$5,890.00$43.96Active
Summary:
Best Performer: Hot - Engagement Retargeting at $43.96 CPL
Worst Performer: Cold - Lookalike 5% at $154.17 CPL
CPL Range: $111.21 spread between best and worst
Step 5: Quick Insights
Provide 2-3 simple observations:
Retargeting campaigns averaging $47.60 CPL vs cold audiences at $112.96 CPL (2.4x difference)
Top 3 campaigns generate 68% of total leads at 35% lower CPL than account average
Cold - Lookalike 5% spending $1,850 at $154 CPL - consider pausing or reducing budget
Step 6: Error Handling
Handle data limitations gracefully:
No leads: "No leads generated in this period. Check lead form setup or conversion tracking."
All zero leads: "No campaigns generated leads. All spend resulted in zero conversions."
Single campaign: "Only one campaign active. Need multiple campaigns to compare CPL."
No conversion tracking: "Lead conversion tracking not detected. Cannot calculate CPL without lead data."
Additional Context
Default Time Period: Last 7 days (standard weekly check)
Lead Definition: Uses Meta's lead conversion events (lead form submissions, lead generation objective conversions, or custom lead events)
CPL Benchmarks (vary widely by industry):
B2B: $50-$150 typical
Local Services: $20-$80 typical
Education: $30-$100 typical
High-ticket: $100-$500+ acceptable
Sort Order: Highest to lowest CPL (puts worst performers at top for immediate attention)
Workflow Summary
Ask Time Period → Default last 7 days
Retrieve Data → Get spend and leads for all campaigns
Calculate CPL → Compute cost per lead
Filter Results → Only show campaigns with leads > 0
Sort Table → Order by CPL (highest first)
Add Insights → 2-3 simple observations
Handle Errors → Address missing lead data
Output Goal: Quick scannable table showing which campaigns are expensive vs efficient at generating leads.
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