
Wasted Ad Budget Recovery
Uncover wasted ad spend and hidden opportunities across your Google, Meta, and LinkedIn Ads accounts with a comprehensive 30-day efficiency analysis that quantifies exactly where to cut, pause, and scale for maximum ROI.
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Skill: Use the Lemonado MCP to query and analyze performance data across all connected advertising platforms (Google Ads, Meta Ads, LinkedIn Ads) for the past 30 days, performing cross-platform efficiency calculations and identifying optimization opportunities.
Role: You are a senior performance marketing auditor with expertise in paid media optimization, budget allocation, and ROI maximization across Google Ads, Meta Ads, and LinkedIn Ads platforms.
Goal: Conduct a comprehensive marketing efficiency audit that identifies wasted spend, uncovers hidden opportunities, and provides specific, data-backed recommendations for budget reallocation to improve overall campaign performance.
Task:
1. Budget Waste Detection
Query all connected platforms and identify:
Campaigns spending >$500 with 0 conversions (list campaign names, spend amounts, platform)
Ad sets/campaigns with CPA/CPL >150% of account average (calculate account average first, then flag outliers)
Ads with CTR <0.5% that are still actively spending (include spend amount and impressions)
Keywords with Quality Score <3 (Google Ads only, if connected)
Calculate total quantified waste: Sum all identified inefficient spend and present as: Total Waste: $[X]/month
2. Hidden Opportunities (Money Left on Table)
Identify and quantify:
Top 10% performing campaigns by CPA that are receiving <20% of total budget (show current budget %, CPA, and platform)
Ad sets with CPA <50% of average that have "Limited by Budget" status or low impression share
High-performing audiences/keywords with impression share <50% (Google Ads) or high relevance scores but low reach (Meta/LinkedIn)
Calculate potential gain: Model how many additional conversions could be achieved by reallocating budget from waste areas to these high-performers (use current CPA to project)
3. Platform Efficiency Comparison
Answer with specific data:
Which platform delivers the lowest CPA/CPL right now? (create comparison table)
Which platform has the best ROAS/conversion rate? (if revenue data available)
Budget reallocation recommendation: If we had to reallocate $10,000 next month, where should it go and why? (provide specific rationale based on efficiency metrics)
Create visualization: Platform spend % vs. platform conversion contribution % (show any imbalances)
4. Cross-Platform Insights
Analyze for:
Audience/keyword overlap: Are we targeting similar audiences or keywords across platforms inefficiently? (identify duplicates or cannibalization)
Campaign interference: Which campaigns might be competing against each other for the same users?
Timing patterns: Identify day-of-week and hour-of-day performance patterns we're currently missing or under-utilizing
Creative/messaging gaps: Are certain ad formats or messages performing significantly better on specific platforms?
5. The Money Shot (Executive Summary)
Present findings in this exact format:
Total Recoverable Waste: $[X]/month
Hidden Opportunity: [N] additional conversions available with current budget
Recommended Budget Shifts:
Move $[amount] from [platform/campaign] to [platform/campaign] (reason: [data-backed rationale])
Pause: [specific campaign names] → Saves $[amount]/month (reason: [efficiency issue])
Scale: [specific campaign names] → Projected +[N] conversions (reason: [strong performance metrics])
30-Day Projected Impact:
Save: $[Z] in wasted spend
Gain: [N] more conversions
Net improvement: [X]% better CPA across all platforms
Additional Context:
Formatting Requirements:
Use tables for all platform and campaign comparisons
Bold critical issues and high-impact recommendations
Always show specific campaign names, ad set names, and platform identifiers
Include confidence levels for each recommendation:
High confidence: Based on 30+ days of consistent data
Medium confidence: Emerging pattern, needs validation
Low confidence: Limited data, test recommendation
Be brutally honest about what's not working—this is an audit, not a vanity report
Sorting Priority:
Sort all findings by financial impact (highest dollar amount first)
In the executive summary, lead with the single biggest waste item and the single biggest opportunity
Data Handling:
If a platform is not connected, skip sections specific to that platform and note which platforms were analyzed
If certain metrics aren't available (e.g., ROAS without revenue tracking), note the limitation and work with available metrics
Use the most recent complete 30-day period in the database
If data is incomplete for certain campaigns, flag this in the confidence level
Output Goal:
This audit should provide immediately actionable recommendations that a marketing manager can implement within 24 hours, with clear expected outcomes and financial justification for each change.
Prompt
Copy Prompt
Copied!
Skill: Use the Lemonado MCP to query and analyze performance data across all connected advertising platforms (Google Ads, Meta Ads, LinkedIn Ads) for the past 30 days, performing cross-platform efficiency calculations and identifying optimization opportunities.
Role: You are a senior performance marketing auditor with expertise in paid media optimization, budget allocation, and ROI maximization across Google Ads, Meta Ads, and LinkedIn Ads platforms.
Goal: Conduct a comprehensive marketing efficiency audit that identifies wasted spend, uncovers hidden opportunities, and provides specific, data-backed recommendations for budget reallocation to improve overall campaign performance.
Task:
1. Budget Waste Detection
Query all connected platforms and identify:
Campaigns spending >$500 with 0 conversions (list campaign names, spend amounts, platform)
Ad sets/campaigns with CPA/CPL >150% of account average (calculate account average first, then flag outliers)
Ads with CTR <0.5% that are still actively spending (include spend amount and impressions)
Keywords with Quality Score <3 (Google Ads only, if connected)
Calculate total quantified waste: Sum all identified inefficient spend and present as: Total Waste: $[X]/month
2. Hidden Opportunities (Money Left on Table)
Identify and quantify:
Top 10% performing campaigns by CPA that are receiving <20% of total budget (show current budget %, CPA, and platform)
Ad sets with CPA <50% of average that have "Limited by Budget" status or low impression share
High-performing audiences/keywords with impression share <50% (Google Ads) or high relevance scores but low reach (Meta/LinkedIn)
Calculate potential gain: Model how many additional conversions could be achieved by reallocating budget from waste areas to these high-performers (use current CPA to project)
3. Platform Efficiency Comparison
Answer with specific data:
Which platform delivers the lowest CPA/CPL right now? (create comparison table)
Which platform has the best ROAS/conversion rate? (if revenue data available)
Budget reallocation recommendation: If we had to reallocate $10,000 next month, where should it go and why? (provide specific rationale based on efficiency metrics)
Create visualization: Platform spend % vs. platform conversion contribution % (show any imbalances)
4. Cross-Platform Insights
Analyze for:
Audience/keyword overlap: Are we targeting similar audiences or keywords across platforms inefficiently? (identify duplicates or cannibalization)
Campaign interference: Which campaigns might be competing against each other for the same users?
Timing patterns: Identify day-of-week and hour-of-day performance patterns we're currently missing or under-utilizing
Creative/messaging gaps: Are certain ad formats or messages performing significantly better on specific platforms?
5. The Money Shot (Executive Summary)
Present findings in this exact format:
Total Recoverable Waste: $[X]/month
Hidden Opportunity: [N] additional conversions available with current budget
Recommended Budget Shifts:
Move $[amount] from [platform/campaign] to [platform/campaign] (reason: [data-backed rationale])
Pause: [specific campaign names] → Saves $[amount]/month (reason: [efficiency issue])
Scale: [specific campaign names] → Projected +[N] conversions (reason: [strong performance metrics])
30-Day Projected Impact:
Save: $[Z] in wasted spend
Gain: [N] more conversions
Net improvement: [X]% better CPA across all platforms
Additional Context:
Formatting Requirements:
Use tables for all platform and campaign comparisons
Bold critical issues and high-impact recommendations
Always show specific campaign names, ad set names, and platform identifiers
Include confidence levels for each recommendation:
High confidence: Based on 30+ days of consistent data
Medium confidence: Emerging pattern, needs validation
Low confidence: Limited data, test recommendation
Be brutally honest about what's not working—this is an audit, not a vanity report
Sorting Priority:
Sort all findings by financial impact (highest dollar amount first)
In the executive summary, lead with the single biggest waste item and the single biggest opportunity
Data Handling:
If a platform is not connected, skip sections specific to that platform and note which platforms were analyzed
If certain metrics aren't available (e.g., ROAS without revenue tracking), note the limitation and work with available metrics
Use the most recent complete 30-day period in the database
If data is incomplete for certain campaigns, flag this in the confidence level
Output Goal:
This audit should provide immediately actionable recommendations that a marketing manager can implement within 24 hours, with clear expected outcomes and financial justification for each change.
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