Ads Budget

Budget Allocation & Bidding Strategy

Process

1. Collect budget and performance data across all active platforms
2. Read ads/references/budget-allocation.md for allocation framework
3. Read ads/references/bidding-strategies.md for strategy decision trees
4. Read ads/references/benchmarks.md for CPC/CPA benchmarks
5. Read ads/references/scoring-system.md for health score algorithm
6. Validate: confirm spend data covers ≥14 days before evaluating kill/scale decisions
7. Evaluate budget allocation, bidding strategy, and scaling readiness
8. Validate: verify kill list candidates have sufficient data (≥20 clicks or ≥$100 spend) before recommending pause
9. 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 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)

Bidding Innovations (2025+)

Google AI Max for Search

• 14% conversion lift in early testing
• 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)
• ROAS performance: 1.41-1.67x in early adopter data
• Replaces all-or-nothing automation approach
• 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

1. Vertical: increase budget on winning campaigns (20% rule)
2. Horizontal: duplicate winning campaigns to new audiences
3. Platform expansion: add budget on new platforms
4. Geographic expansion: test new markets/regions
5. 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 budget optimization

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: Hainrixz
• Source: Hainrixz/claude-ads
• License: MIT

Install and usage instructions live in the source repository linked above.