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Ads Budget

  • 2.6k installs
  • 7.6k repo stars
  • Updated July 13, 2026
  • agricidaniel/claude-ads

ads-budget reviews paid advertising budget allocation, bidding strategies, scaling readiness, and kill lists.

About

The ads-budget skill evaluates spend distribution, bidding appropriateness, scaling readiness, and campaigns to pause or grow using the 70/20/10 allocation rule, 3x Kill Rule, and 20% scaling rule. Process collects fourteen-plus days of performance data, loads budget-allocation, bidding-strategies, benchmarks, and scoring-system references, then validates kill candidates have at least twenty clicks or one hundred dollars spend. Platform matrix maps SaaS B2B, e-commerce, local service, and mobile app business types to primary and testing channels with minimum daily budgets per Google, Meta, LinkedIn, and TikTok. Bidding trees cover Google Maximize Clicks to Target ROAS progression, Meta CBO versus ABO, LinkedIn manual CPC, and TikTok fifty-times CPA learning thresholds. Scaling green lights require two weeks below-target CPA, fifty weekly conversions, stable CTR, and no creative fatigue. Kill framework pauses CPA above three times target, zero conversions after sufficient spend, and creatives with CTR below half the benchmark. Deliverables include BUDGET-STRATEGY-REPORT.md, scale and kill lists, MER analysis, and platform bidding recommendations.

  • 70/20/10 splits proven, scaling, and testing channel budgets.
  • 3x Kill Rule flags campaigns with CPA above three times target.
  • 20% Rule caps budget increases to twenty percent per step.
  • Platform minimums and learning-phase budgets per Google, Meta, LinkedIn, TikTok.
  • MER equals total revenue divided by total marketing spend for blended efficiency.

Ads Budget by the numbers

  • 2,578 all-time installs (skills.sh)
  • +512 installs in the week ending Jul 28, 2026 (Skillselion tracking)
  • Ranked #221 of 1,881 Marketing & SEO skills by installs in the Skillselion catalog
  • Security screen: LOW risk (skills.sh audit)
  • Data as of Jul 28, 2026 (Skillselion catalog sync)
At a glance

ads-budget capabilities & compatibility

Capabilities
70/20/10 allocation framework · platform bidding decision trees · kill and scale assessment · mer blended efficiency · minimum budget sufficiency rules
Use cases
marketing · planning
From the docs

What ads-budget says it does

Never increase budget by more than 20% at a time
SKILL.md
npx skills add https://github.com/agricidaniel/claude-ads --skill ads-budget

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Installs2.6k
repo stars7.6k
Security audit3 / 3 scanners passed
Last updatedJuly 13, 2026
Repositoryagricidaniel/claude-ads

How should I allocate ad budget and choose bidding strategies across my active platforms?

Review paid ad budget allocation, bidding strategies, scaling readiness, and kill or scale lists across platforms.

Who is it for?

Marketers auditing multi-platform spend with structured kill and scale frameworks.

Skip if: Skip for single ad copy tweaks without budget or bidding architecture review.

When should I use this skill?

User says budget allocation, bidding strategy, ad spend, ROAS target, or scaling ads.

What you get

Budget strategy report with recommended splits, bidding changes, scale list, and kill list.

  • Budget allocation review
  • Kill-or-scale campaign recommendations

By the numbers

  • Applies 70/20/10 rule, 3x Kill Rule, and 20% scaling rule
  • Documented as claude-ads ads-budget v1.5

Files

SKILL.mdMarkdownGitHub ↗

<!-- Updated: 2026-04-13 | v1.5 -->

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 TypePrimarySecondaryTesting
SaaS B2BGoogle Search, LinkedInMeta, YouTubeTikTok, Microsoft
E-commerceGoogle Shopping, MetaTikTok, YouTubeMicrosoft, LinkedIn
Local ServiceGoogle Search, Google LSAMetaMicrosoft, YouTube
B2B EnterpriseLinkedIn, Google SearchMetaMicrosoft, TikTok
Info ProductsMeta, YouTubeGoogle SearchTikTok
Mobile AppMeta, Google UACTikTokApple Ads
Real EstateGoogle Search, MetaYouTubeMicrosoft
HealthcareGoogle SearchMetaMicrosoft, YouTube
FinanceGoogle Search, MetaLinkedInMicrosoft
Agency (clients)Varies by clientN/AN/A

Budget Sufficiency Rules

PlatformMinimum DailyLearning Phase Budget
Google Search$20/daySufficient for 15+ conv/month
Google PMax$50/daySufficient for algorithm optimization
Meta$20/day per ad set≥5x target CPA per ad set
LinkedIn$50/day Sponsored Content15+ conversions/month
TikTok$50/day campaign, $20/day ad group≥50x target CPA per ad group
MicrosoftNo strict minimumSufficient 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

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

ScenarioData RequiredAction
CPA >3x target≥7 days data, ≥20 clicksPause immediately
No conversions≥$100 spend or ≥50 clicksPause and diagnose
CTR <50% of benchmark≥1,000 impressionsKill creative, test new
ROAS <50% of target≥14 days dataReduce 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

Related skills

FAQ

What is the 70/20/10 rule?

Seventy percent proven channels, twenty scaling, ten testing new platforms.

When is a campaign ready to scale?

CPA below target two weeks, fifty weekly conversions, stable CTR, no fatigue.

When should I pause a campaign?

CPA above 3x target with seven days and twenty clicks, or zero conversions after $100 spend.

Is Ads Budget safe to install?

skills.sh reports 3 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.

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