← Volver al catálogo Budget allocation and bidding strategy review across all ad platforms. Evaluates spend distribution, bidding strategy appropriateness, scaling readiness, and identifies campaigns to kill or scale. Uses 70/20/10 rule, 3x Kill Rule, and 20% scaling rule. Use when user says budget allocation, bidding strategy, ad spend, ROAS target, media budget, or scaling.
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<!-- Updated: 2026-04-13 | v1.5 -->
Budget Allocation & Bidding Strategy
Process
Collect budget and performance data across all active platforms
Read ads/references/budget-allocation.md for allocation framework
Read ads/references/bidding-strategies.md for strategy decision trees
Read ads/references/benchmarks.md for CPC/CPA benchmarks
Read ads/references/scoring-system.md for health score algorithm
Validate : confirm spend data covers ≥14 days before evaluating kill/scale decisions
Evaluate budget allocation, bidding strategy, and scaling readiness
Validate : verify kill list candidates have sufficient data (≥20 clicks or ≥$100 spend) before recommending pause
Generate recommendations with kill list and scale list
Budget Allocation Framework
70/20/10 Rule
70% on proven channels (consistent ROAS/CPA targets met)
20% on scaling channels (showing promise, need more data)
10% on testing channels (new platforms, audiences, creatives)
Platform Selection Matrix
Business Type Primary Secondary Testing SaaS B2B Google Search, LinkedIn Meta, YouTube TikTok, Microsoft E-commerce Google Shopping, Meta TikTok, YouTube Microsoft, LinkedIn Local Service Google Search, Google LSA Meta Microsoft, YouTube B2B Enterprise LinkedIn, Google Search Meta Microsoft, TikTok Info Products Meta, YouTube Google Search TikTok Mobile App Meta, Google UAC TikTok Apple Ads Real Estate Google Search, Meta YouTube Microsoft Healthcare Google Search Meta Microsoft, YouTube Finance Google Search, Meta LinkedIn Microsoft Agency (clients) Varies by client N/A N/A
Budget Sufficiency Rules
Platform Minimum Daily Learning Phase Budget Google Search $20/day Sufficient for 15+ conv/month Google PMax $50/day Sufficient for algorithm optimization Meta $20/day per ad set ≥5x target CPA per ad set LinkedIn $50/day Sponsored Content 15+ conversions/month TikTok $50/day campaign, $20/day ad group ≥50x target CPA per ad group Microsoft No strict minimum Sufficient for stable delivery
Bidding Strategy Evaluation
Google Ads Bidding Decision Tree
Start
├─ <30 conversions/month?
│ └─ Use Maximize Clicks (cap CPC at benchmark)
│ └─ When >30 conv/month → Maximize Conversions
├─ 30-50 conversions/month?
│ └─ Use Maximize Conversions
│ └─ When stable CPA → Target CPA
├─ >50 conversions/month?
│ └─ Use Target CPA
│ └─ When revenue tracking → Target ROAS
└─ Revenue tracking active + >50 conv/month?
└─ Use Target ROAS
Meta Ads Bidding
Lowest Cost (default) : best for volume, may have CPA variance
Cost Cap : sets CPA ceiling, may reduce volume
Bid Cap : maximum bid per auction, most control
ROAS Goal : target return on ad spend
CBO vs ABO : CBO for proven campaigns, ABO for testing
LinkedIn Bidding
Cost Per Send (CPS) : for Message Ads
Manual CPC : recommended starting point for cost control
Cost Cap : efficiency at scale with predictable CPA
Maximum Delivery : highest volume, most expensive. Use only for scale with established data
Target Cost : for predictable CPA
TikTok Bidding
Lowest Cost : maximize conversions within budget (volume)
Cost Cap : set maximum CPA (efficiency)
Bid Cap : maximum bid per impression
Budget ≥50x CPA per ad group for learning phase exit
Microsoft Bidding
Mirror Google strategy but bid 20-35% lower
Manual CPC for low-volume campaigns (Enhanced CPC deprecated on Google March 2025; verify Microsoft availability before recommending)
Target CPA / Target ROAS for automated (requires 15+ conversions/30 days)
v1.5 Bidding Innovations
Google AI Max for Search
14% avg conversion lift for non-retail brands at similar CPA/ROAS, up to 27% for exact/phrase-match-heavy campaigns (Google Ads blog, May 2025 )
Independent data is more conservative: median +13% revenue / +16% CPA across 250+ campaigns (ALM Corp )
Requires strong negative keyword lists (AI Max casts a wider net)
DSA likely consolidated into AI Max by Q2 2026
Best for: accounts with mature conversion tracking and keyword history
TikTok Smart+ Modular Control (2025)
Lock targeting, creative, budget, or placement independently (mix of manual and AI)
TikTok platform median ROAS 1.41-1.67 in 2025; Smart+ delivers ~53% lift over standard campaigns (TikTok for Business )
October 2025 update added module-by-module control after early-2025 control complaints
Best for: advertisers wanting partial AI control without full black-box
Apple Ads Maximize Conversions
GA: February 26, 2026. AI-powered auto-bidder for Apple Ads
Target CPA based on weekly average (not per-conversion)
Daily budget must be >=5x target CPA for stable performance
Two-week learning phase required; avoid changes during learning
Currently supports installs only (not post-install events)
Meta Advantage+ Bidding
Automatic optimization across all placements within Advantage+ Sales campaigns
Budget automatically shifts to highest-performing placements in real time
Best combined with broad targeting and high creative volume
Scaling Assessment
Ready to Scale (Green Light)
CPA consistently below target for 2+ weeks
≥50 conversions per week (learning phase exited)
CTR stable or improving
ROAS above target
No creative fatigue signals
20% Rule
Never increase budget by more than 20% at a time:
Week 1: $100/day → $120/day
Week 2: $120/day → $144/day
Week 3: $144/day → $173/day
Monitor 3-5 days after each increase for performance stability
Scaling Methods
Vertical : increase budget on winning campaigns (20% rule)
Horizontal : duplicate winning campaigns to new audiences
Platform expansion : add budget on new platforms
Geographic expansion : test new markets/regions
Format expansion : test new ad formats on same platform
Kill List Assessment
3x Kill Rule
Any campaign/ad group with CPA >3x target → flag for pause
Review spend in last 14 days with no conversions → flag for pause
Creative with CTR >50% below platform benchmark → flag for creative kill
Kill Decision Framework
Scenario Data Required Action CPA >3x target ≥7 days data, ≥20 clicks Pause immediately No conversions ≥$100 spend or ≥50 clicks Pause and diagnose CTR <50% of benchmark ≥1,000 impressions Kill creative, test new ROAS <50% of target ≥14 days data Reduce budget 50% or pause
MER (Marketing Efficiency Ratio)
MER = Total Revenue / Total Marketing Spend
Assess blended efficiency across all platforms
Target MER varies by business: 3x-10x depending on margins
Use MER to evaluate overall health, not just per-platform ROAS
Incrementality testing recommended for MER accuracy
Output
Budget & Bidding Assessment
Budget Allocation Health
Allocation Strategy: ████████░░ XX/100
Bidding Strategies: ██████████ XX/100
Scaling Readiness: ███████░░░ XX/100
Budget Sufficiency: █████░░░░░ XX/100
Deliverables
BUDGET-STRATEGY-REPORT.md: Full allocation and bidding analysis
Current vs recommended budget split (pie chart data)
Bidding strategy recommendations per platform/campaign
Scale list: campaigns ready for more budget
Kill list: campaigns/ad groups to pause immediately
MER analysis and trend
Quick Wins for immediate budge
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