ads-budget▌
agricidaniel/claude-ads · updated Apr 8, 2026
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Never increase budget by more than 20% at a time:
Budget Allocation & Bidding Strategy
Process
- Collect budget and performance data across all active platforms
- Read
ads/references/budget-allocation.mdfor allocation framework - Read
ads/references/bidding-strategies.mdfor strategy decision trees - Read
ads/references/benchmarks.mdfor CPC/CPA benchmarks - Read
ads/references/scoring-system.mdfor 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 Search Ads |
| Real Estate | Google Search, Meta | YouTube | Microsoft |
| Healthcare | Google Search | Meta | Microsoft, YouTube |
| Finance | Google Search, Meta | 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 |
| $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
- Maximum Delivery: for Sponsored Content (recommended)
- Manual CPC: for tight budget control
- 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
- Enhanced CPC for manual campaigns
- Target CPA / Target ROAS for automated
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 budget optimization
How to use ads-budget on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add ads-budget
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches ads-budget from GitHub repository agricidaniel/claude-ads and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate ads-budget. Access the skill through slash commands (e.g., /ads-budget) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★26 reviews- ★★★★★Ganesh Mohane· Dec 12, 2024
We added ads-budget from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Nikhil Khanna· Dec 8, 2024
Keeps context tight: ads-budget is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Amelia Nasser· Nov 27, 2024
ads-budget is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Min Agarwal· Nov 11, 2024
ads-budget reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Diya Garcia· Oct 18, 2024
ads-budget fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Ira Singh· Oct 2, 2024
I recommend ads-budget for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Piyush G· Sep 1, 2024
ads-budget reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Shikha Mishra· Aug 20, 2024
I recommend ads-budget for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Yash Thakker· Jul 11, 2024
Useful defaults in ads-budget — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Dhruvi Jain· Jun 2, 2024
ads-budget has been reliable in day-to-day use. Documentation quality is above average for community skills.
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