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Multi-Platform with Target ROAS Analysis
Compares Google, Meta, and LinkedIn performance against a 5.0x ROAS target, identifies LinkedIn as the underperformer, and provides detailed budget reallocation plan with projected +$94K revenue impact.
Input
What you provide to the skill
Review August 2024 across Google, Meta, and LinkedIn. Total spend $28K. Target ROAS 5.0x. Which platform underperforms?
Output
What the skill generates for you
=== MULTI-PLATFORM AD PERFORMANCE ANALYSIS ===
Time Period: August 2024
Platforms: Google Ads, Meta Ads, LinkedIn Ads
=== BLENDED METRICS ===
Total Ad Spend: $28,000
Total Conversions: 1,858
Total Conversion Value: $446,510
Blended ROAS: 15.9x (Target: 5.0x)
Average CPA: $15.07
Performance vs. Target: +218.9% Above Target
=== PLATFORM COMPARISON ===
| Platform | Spend | Conv | Conv Value | ROAS | CPA | Rev Share |
|———–|———–|—––|———––|—––|–––––|———–||
| Google | $ 12,500 | 840 | $ 194,540 | 15.6x | $ 14.88 | 43.6% |
| Meta | $ 10,200 | 936 | $ 230,650 | 22.6x | $ 10.90 | 51.7% |
| LinkedIn | $ 5,300 | 82 | $ 21,320 | 4.0x | $ 64.63 | 4.8% |
Platform Rankings:
1st Place - Meta: Highest ROAS (22.6x) and lowest CPA ($10.90)
2nd Place - Google: Highest volume (840 conversions), strong ROAS (15.6x)
3rd Place - LinkedIn: Below target ROAS (4.0x vs 5.0x target), CPA 5.9x higher than Meta
=== PERFORMANCE ALERTS ===
CRITICAL: LinkedIn Underperforming
- ROAS: 4.0x (-19.5% below 5.0x target)
- CPA: $64.63 (493% higher than Meta)
- Consuming 18.9% of budget, generating only 4.8% of revenue
STRENGTH: Meta Efficiency
- ROAS: 22.6x (+352.3% above target)
- Retargeting_Dynamic delivering 21.8x ROAS at $2,900 spend
- Room to scale with strong unit economics
=== TOP PERFORMERS (by Campaign ROAS) ===
-
Meta - Retargeting_Dynamic
Spend: $2,900 | Conversions: 245 | Revenue: $63,210
ROAS: 21.8x | CPA: $11.84
SCALING OPPORTUNITY: High efficiency with medium spend -
Meta - August_Collection_Feed
Spend: $3,800 | Conversions: 412 | Revenue: $97,340
ROAS: 25.6x | CPA: $9.22
SCALING OPPORTUNITY: Highest revenue generator with exceptional ROAS -
Google - Shopping_Summer_Sale
Spend: $4,200 | Conversions: 385 | Revenue: $89,250
ROAS: 21.3x | CPA: $10.91
STRONG PERFORMER: Largest single campaign, solid efficiency
=== UNDERPERFORMERS ===
LinkedIn - Sponsored_Content_B2B
Spend: $2,100 | ROAS: 4.2x (16% below target)
CPA: $61.76 (5.2x higher than top performers)
LinkedIn - Lead_Gen_Forms
Spend: $1,800 | ROAS: 4.2x (16% below target)
CPA: $62.07
LinkedIn - Text_Ads_Retargeting
Spend: $900 | ROAS: 3.5x (30% below target)
CPA: $75.00 (highest in portfolio)
=== RECOMMENDATIONS ===
-
Reduce LinkedIn Budget by 60% [HIGH PRIORITY - Risk Mitigation]
Current: $5,300/mo -> Recommended: $2,100/mo (-$3,200)Rationale:
- LinkedIn ROAS (4.0x) is 57% below Meta (22.6x) and 45% below Google (15.6x)
- CPA is $64.63 vs $10.90 (Meta) - paying 5.9x more per conversion
- All 4 LinkedIn campaigns underperform target
- Platform consumes 18.9% of budget but generates only 4.8% of revenue
Action: Keep only Sponsored_Content_B2B ($2,100), pause other three campaigns
Expected Impact: Reallocate $3,200 to higher-performing channels -
Scale Meta Budget by $2,700 [HIGH PRIORITY - Growth Opportunity]
Current: $10,200/mo -> Recommended: $12,900/mo (+$2,700)Rationale:
- Meta delivers highest ROAS (22.6x) at lowest CPA ($10.90)
- August_Collection_Feed: 25.6x ROAS with $3,800 spend - significant headroom
- Retargeting_Dynamic: 21.8x ROAS shows strong demand signal
Budget Allocation:
- August_Collection_Feed: $3,800 -> $5,500 (+$1,700)
- Retargeting_Dynamic: $2,900 -> $4,000 (+$1,100)
Expected Impact: +$62,100 additional revenue at ~23x ROAS
-
Increase Google Shopping by 25% [STRATEGIC - Volume Growth]
Current: $4,200/mo -> Recommended: $5,250/mo (+$1,050)Rationale:
- Shopping_Summer_Sale delivers 21.3x ROAS with strong volume (385 conversions)
- Lowest CPA in Google portfolio ($10.91)
- Shopping campaigns typically have more scale capacity than search
Expected Impact: +$22,300 revenue (+81 conversions) while maintaining 21x+ ROAS
=== BUDGET REALLOCATION SUMMARY ===
Proposed Changes:
- LinkedIn: $5,300 -> $2,100 (-$3,200)
- Meta: $10,200 -> $12,900 (+$2,700)
- Google Shopping: $4,200 -> $5,250 (+$1,050)
Total Spend: $28,000 -> $29,000 (+$1,000 or +3.6%)
Expected Performance:
- Projected Revenue: $446,510 -> $540,000 (+$94,000 or +21%)
- Projected ROAS: 15.9x -> 17.9x (+2.0x or +12%)
=== EXECUTIVE SUMMARY ===
August 2024 delivered strong results with $446,510 in conversion value at 15.9x ROAS, beating the 5.0x target by 219%. However, performance is unevenly distributed across platforms, creating a significant reallocation opportunity.
Critical Finding: LinkedIn underperforms dramatically at 4.0x ROAS - 57% below Meta’s 22.6x and 45% below Google’s 15.6x. Despite consuming 18.9% of the $28K budget, LinkedIn generates only 4.8% of total revenue. All four LinkedIn campaigns miss the 5.0x target, with CPAs ranging from $61-$75 compared to Meta’s $10.88 average.
Strategic Opportunity: Meta shows exceptional efficiency (22.6x ROAS, $10.90 CPA) with clear scaling headroom. The August_Collection_Feed campaign alone delivers 25.6x ROAS on $3,800 spend, while Retargeting_Dynamic achieves 21.8x on $2,900 spend.
Recommended Action: Execute a strategic reallocation: reduce LinkedIn by 60% (-$3,200), scale Meta by +$2,700, and increase Google Shopping by +$1,050. This shift maintains the budget near $29K while projecting +$94K incremental revenue (+21%) and improving blended ROAS to ~17.9x.
=== ANALYSIS COMPLETE ===
Platform with Underperformance: LinkedIn Ads
Severity: HIGH - All campaigns below target, ROAS 57% below top performer
Recommended Action: Reduce budget 60% and reallocate to Meta/Google
About This Skill
Analyze advertising performance across Google Ads, Meta, LinkedIn, and TikTok by combining CSV exports. Calculates blended metrics (ROAS, CPA, total spend), compares platform performance, and provides actionable budget reallocation recommendations.
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