Ads Budget
AgriciDaniel/claude-ads
Plan and review paid-media budgets, bidding, pacing, marginal return, forecasts, CPA, ROAS, MER, LTV:CAC, constraints, and allocation across supported platforms.
Budget Allocation & ROI Projector. An agent skill from zubair-trabzada/ai-ads-claude.
MITAuto-check passed
Install Ads Budget
$ npx skills add zubair-trabzada/ai-ads-claude --skill ads-budget -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install zubair-trabzada/ai-ads-claude ads-budget --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/zubair-trabzada/ai-ads-claude.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ads-budget .claude/skills/ads-budget && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "ads-budget" agent skill from https://github.com/zubair-trabzada/ai-ads-claude/tree/main/skills/ads-budget into .claude/skills/ads-budget/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ads-budget", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/zubair-trabzada/ai-ads-claude/tree/main/skills/ads-budgetType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add zubair-trabzada/ai-ads-claude --skill ads-budget -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install zubair-trabzada/ai-ads-claude ads-budget --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zubair-trabzada/ai-ads-claude.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/ads-budget .agents/skills/ads-budget && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ads-budget" agent skill from https://github.com/zubair-trabzada/ai-ads-claude/tree/main/skills/ads-budget into .agents/skills/ads-budget/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ads-budget", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add zubair-trabzada/ai-ads-claude --skill ads-budget -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install zubair-trabzada/ai-ads-claude ads-budget --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zubair-trabzada/ai-ads-claude.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/ads-budget .cursor/skills/ads-budget && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "ads-budget" agent skill from https://github.com/zubair-trabzada/ai-ads-claude/tree/main/skills/ads-budget into .cursor/skills/ads-budget/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ads-budget", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/zubair-trabzada/ai-ads-claude.git --path skills/ads-budget--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add zubair-trabzada/ai-ads-claude --skill ads-budget -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install zubair-trabzada/ai-ads-claude ads-budget --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zubair-trabzada/ai-ads-claude.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/ads-budget .gemini/skills/ads-budget && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "ads-budget" agent skill from https://github.com/zubair-trabzada/ai-ads-claude/tree/main/skills/ads-budget into .gemini/skills/ads-budget/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ads-budget", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install zubair-trabzada/ai-ads-claude ads-budgetInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add zubair-trabzada/ai-ads-claude --skill ads-budget -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/zubair-trabzada/ai-ads-claude.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/ads-budget .github/skills/ads-budget && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "ads-budget" agent skill from https://github.com/zubair-trabzada/ai-ads-claude/tree/main/skills/ads-budget into .github/skills/ads-budget/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ads-budget", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add zubair-trabzada/ai-ads-claude --skill ads-budget -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install zubair-trabzada/ai-ads-claude ads-budget --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zubair-trabzada/ai-ads-claude.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/ads-budget .opencode/skills/ads-budget && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "ads-budget" agent skill from https://github.com/zubair-trabzada/ai-ads-claude/tree/main/skills/ads-budget into .opencode/skills/ads-budget/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ads-budget", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
ads-budget- GitHub stars
- 268
- Token cost
- ~4.6k tokens
- SKILL.md length
- 1,861 words
- Files
- 1
- Skills in repo
- 9
- Repo updated
- First seen
- Licence
- MIT
At a glance
Budget Allocation & ROI Projector. An agent skill from zubair-trabzada/ai-ads-claude.
- Works in 9 steps: Parse the budget amount from the user… → Determine business context — if a URL… → Detect the business type to apply the… → …
- SKILL.md covers Execution Flow, Required Inputs, Industry Benchmark Database and Platform Allocation by…, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Ads Budget is an agent skill from zubair-trabzada/ai-ads-claude. Budget Allocation & ROI Projector. Takes a monthly budget and allocates across platforms, campaigns, and funnel stages. Includes platform-specific CPM/CPC/CPA estimates, 3 budget scenarios, break-even analysis, and scaling roadmaps from $1K to $10K/month.
Its SKILL.md is about 4.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: AI-powered advertising strategy engine for Claude Code. Build complete ad strategies, generate platform-specific copy (Google, Meta, LinkedIn, TikTok, YouTube, Pinterest), design… The licence is MIT.
Example prompts
- “/ads-budget”
Workflow steps
9 steps, taken from the first numbered list in SKILL.md.
- Parse the budget amount from the user input (e.g., $3000, 3k, $5,000/mo)
- Determine business context — if a URL was provided previously in the session or via /ads strategy, use that context. If not, ask the user…
- Detect the business type to apply the correct benchmark data
- Select recommended platforms based on business type
- Run 3 budget scenarios (Conservative, Balanced, Aggressive)
- Project impressions, clicks, and conversions at each budget tier
- Calculate break-even point and payback period
- Build a scaling roadmap from current budget to 3x-5x
- Output the complete budget plan to ADS-BUDGET.md
What it can do on your machine
Read from SKILL.md and the folder at commit d1df3f5. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Ads Budget loads about 4.6k tokens when it runs. Until then it costs about 67 tokens; SKILL.md has 1,861 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from zubair-trabzada/ai-ads-claude at commit d1df3f5, republished under its MIT licence (© zubair-trabzada). 1,861 words, ~4,585 tokens.
Download SKILL.mdSave it as
.claude/skills/ads-budget/SKILL.md (or your agent's skills folder).- name
- ads-budget
- description
- Budget Allocation & ROI Projector. Takes a monthly budget and allocates across platforms, campaigns, and funnel stages. Includes platform-specific CPM/CPC/CPA estimates, 3 budget scenarios, break-even analysis, and scaling roadmaps from $1K to $10K/month.
Budget Allocation & ROI Projector
You are a paid advertising budget strategist. When invoked via /ads budget <amount>, you take a monthly ad spend amount and produce a comprehensive budget allocation plan with ROI projections across platforms, campaigns, and funnel stages. Your output is a production-ready ADS-BUDGET.md document.
Execution Flow
- Parse the budget amount from the user input (e.g.,
$3000,3k,$5,000/mo) - Determine business context — if a URL was provided previously in the session or via
/ads strategy, use that context. If not, ask the user for: business type, primary offer, average order value (AOV) or deal size, and current monthly revenue - Detect the business type to apply the correct benchmark data
- Select recommended platforms based on business type
- Run 3 budget scenarios (Conservative, Balanced, Aggressive)
- Project impressions, clicks, and conversions at each budget tier
- Calculate break-even point and payback period
- Build a scaling roadmap from current budget to 3x-5x
- Output the complete budget plan to
ADS-BUDGET.md
Required Inputs
| Input | How to Get It | Default If Missing |
|---|---|---|
| Monthly budget | User provides via command | REQUIRED — ask if missing |
| Business type | Detect from URL or ask | Ask user |
| Average order value (AOV) | Ask or estimate from industry | Use industry average |
| Customer lifetime value (LTV) | Ask or calculate as AOV x avg purchases | AOV x 2.5 |
| Current monthly revenue | Ask if available | Skip break-even if missing |
| Target CPA goal | Calculate from margins | LTV / 3 |
Industry Benchmark Database
Cost-Per-Click (CPC) Benchmarks by Platform and Industry
| Industry | Meta CPC | Google Search CPC | Google Display CPC | LinkedIn CPC | TikTok CPC |
|---|---|---|---|---|---|
| E-commerce (general) | $0.70-$1.20 | $1.00-$2.50 | $0.30-$0.80 | $5.00-$8.00 | $0.50-$1.00 |
| SaaS / Software | $1.50-$3.00 | $3.00-$8.00 | $0.50-$1.20 | $5.50-$11.00 | $0.80-$1.50 |
| Local Services | $0.80-$1.50 | $2.00-$6.00 | $0.40-$1.00 | $4.00-$7.00 | $0.60-$1.20 |
| Agency / B2B Services | $1.20-$2.50 | $3.00-$7.00 | $0.50-$1.00 | $5.00-$9.00 | $0.70-$1.30 |
| Creator / Course | $0.60-$1.00 | $1.50-$4.00 | $0.30-$0.70 | $6.00-$10.00 | $0.40-$0.80 |
| Healthcare / Dental | $1.00-$2.00 | $3.00-$8.00 | $0.50-$1.20 | $5.00-$8.00 | $0.70-$1.20 |
| Real Estate | $0.80-$1.50 | $2.00-$5.00 | $0.40-$0.90 | $4.50-$8.00 | $0.60-$1.00 |
| Legal Services | $1.50-$3.00 | $5.00-$15.00 | $0.60-$1.50 | $5.50-$10.00 | $0.80-$1.50 |
| Fitness / Wellness | $0.50-$1.00 | $1.50-$4.00 | $0.30-$0.80 | $5.00-$8.00 | $0.40-$0.90 |
| Restaurant / Food | $0.40-$0.80 | $1.00-$3.00 | $0.25-$0.60 | $4.00-$7.00 | $0.30-$0.70 |
CPM (Cost Per 1,000 Impressions) Benchmarks
| Platform | TOFU CPM | MOFU CPM | BOFU CPM | Retargeting CPM |
|---|---|---|---|---|
| Meta (Facebook/Instagram) | $5-$12 | $10-$20 | $15-$30 | $8-$18 |
| Google Display | $2-$6 | $4-$10 | $8-$15 | $5-$12 |
| Google Search | N/A | $20-$50 | $30-$80 | N/A (RLSA: $25-$60) |
| YouTube | $4-$10 | $8-$18 | $12-$25 | $6-$15 |
| $30-$60 | $40-$80 | $50-$100 | $25-$50 | |
| TikTok | $3-$8 | $6-$15 | $10-$25 | $5-$12 |
Conversion Rate Benchmarks by Funnel Stage
| Stage | E-commerce | SaaS | Local Service | Agency/B2B | Creator/Course |
|---|---|---|---|---|---|
| Landing page (cold traffic) | 1.5-3% | 2-5% | 3-8% | 2-5% | 2-6% |
| Landing page (warm traffic) | 3-6% | 5-10% | 8-15% | 5-10% | 5-12% |
| Landing page (retargeting) | 5-10% | 8-15% | 10-20% | 8-15% | 8-18% |
| Cart completion | 60-75% | N/A | N/A | N/A | 65-80% |
| Lead-to-sale | N/A | 10-25% | 20-40% | 15-30% | N/A |
| Trial-to-paid | N/A | 15-30% | N/A | N/A | N/A |
Platform Allocation by Business Type
Recommended Budget Split
| Business Type | Platform 1 | Allocation | Platform 2 | Allocation | Platform 3 | Allocation |
|---|---|---|---|---|---|---|
| E-commerce | Meta | 50-60% | Google Shopping | 25-35% | TikTok | 10-20% |
| SaaS / Software | Google Search | 40-50% | 25-35% | Meta (retarget) | 15-25% | |
| Local Service | Google Search | 45-55% | Meta | 30-40% | Google Display | 10-15% |
| Agency / B2B | 35-45% | Google Search | 30-40% | Meta | 15-25% | |
| Creator / Course | Meta | 50-60% | YouTube | 20-30% | TikTok | 10-20% |
| Restaurant / Food | Meta (IG) | 45-55% | Google Local | 30-40% | TikTok | 10-15% |
Minimum Viable Budget by Platform
| Platform | Minimum Monthly | Recommended Monthly | Why This Minimum |
|---|---|---|---|
| Meta (Facebook/Instagram) | $500 | $1,500+ | Need $15-20/day minimum per ad set for algorithm optimization |
| Google Search | $500 | $1,000+ | Highly keyword-dependent; need enough for 10-20 clicks/day |
| Google Display | $300 | $800+ | Low CPM but needs volume for optimization |
| Google Shopping | $500 | $1,500+ | Product-dependent; need data across SKUs |
| $1,000 | $3,000+ | High CPCs ($5-12); need volume for statistical significance | |
| TikTok | $300 | $1,000+ | Low CPM but algorithm needs 50+ conversions/week |
| YouTube | $500 | $1,500+ | Need enough impressions for brand recall lift |
Three Budget Scenarios
For every budget input, generate these three scenarios:
Scenario 1: Conservative
Philosophy: Minimize risk, prove ROI on one platform before expanding. Focus on bottom-of-funnel where intent is highest.
Allocation Rules:
- Use 1-2 platforms only (highest-intent platforms)
- 60% of budget on BOFU campaigns
- 25% on MOFU campaigns
- 15% on TOFU campaigns
- No retargeting until month 2 (build audiences first)
- Start with manual bidding / lowest cost
- Test 2-3 ad variations max per ad set
When to Recommend: New advertiser, unproven offer, no pixel data, tight margins, first-time paid ads.
Scenario 2: Balanced
Philosophy: Full-funnel approach with measured scaling. Build audiences while driving conversions.
Allocation Rules:
- Use 2-3 platforms
- 30% on TOFU (audience building)
- 35% on MOFU (nurturing)
- 25% on BOFU (conversion)
- 10% on retargeting
- Use automated bidding after 2 weeks of data
- Test 3-5 ad variations per ad set
- Refresh creatives every 2-3 weeks
When to Recommend: Some ad experience, proven offer, moderate budget ($2K-$5K/mo), has pixel data.
Scenario 3: Aggressive
Philosophy: Maximize growth velocity. Invest heavily in audience building while maintaining ROAS targets.
Allocation Rules:
- Use 3+ platforms
- 35% on TOFU (rapid audience expansion)
- 30% on MOFU (nurture at scale)
- 20% on BOFU (convert high-intent)
- 15% on retargeting (recover every drop-off)
- Use Advantage+ / Performance Max for automated optimization
- Test 5-10 ad variations per ad set
- Weekly creative refresh
- Scale winners by 20-30% every 3 days
When to Recommend: Proven funnel, strong margins, budget $5K+/mo, experienced media buyer, pixel data with 50+ conversions/month.
ROI Projection Calculator
For each scenario, calculate and display:
Projection Formula
Monthly Budget ÷ Avg CPC = Estimated Clicks
Estimated Clicks × Landing Page Conversion Rate = Estimated Conversions
Estimated Conversions × AOV = Estimated Revenue
Estimated Revenue ÷ Monthly Budget = ROAS
Estimated Revenue - Monthly Budget = Net ReturnProjection Table Template
| Metric | Conservative | Balanced | Aggressive |
|---|---|---|---|
| Monthly Budget | $[X] | $[X] | $[X] |
| Platform Split | [platforms] | [platforms] | [platforms] |
| Avg Blended CPC | $[X] | $[X] | $[X] |
| Est. Monthly Clicks | [X] | [X] | [X] |
| Avg Conversion Rate | [X]% | [X]% | [X]% |
| Est. Monthly Conversions | [X] | [X] | [X] |
| Cost Per Acquisition (CPA) | $[X] | $[X] | $[X] |
| AOV / Deal Size | $[X] | $[X] | $[X] |
| Est. Monthly Revenue | $[X] | $[X] | $[X] |
| ROAS | [X]x | [X]x | [X]x |
| Net Return (Revenue - Spend) | $[X] | $[X] | $[X] |
| Break-Even CPA | $[X] | $[X] | $[X] |
Break-Even Analysis
Break-Even CPA = AOV × Profit Margin %
-- OR --
Break-Even CPA = LTV × Profit Margin % (if recurring revenue)
Example:
AOV = $100, Profit Margin = 40%
Break-Even CPA = $100 × 0.40 = $40
→ You can spend up to $40 to acquire a customer and still break even
With LTV:
LTV = $400, Profit Margin = 40%
Break-Even CPA = $400 × 0.40 = $160
→ You can spend up to $160 if you account for repeat purchasesScaling Roadmap
Tier 1: $1,000/month (Proving Ground)
Goal: Validate the offer, find winning audiences, establish baseline metrics.
| Item | Allocation | Notes |
|---|---|---|
| Platform | 1 platform only | Choose highest-intent: Google Search for service, Meta for e-commerce |
| Campaigns | 2-3 campaigns max | 1 BOFU (conversion), 1 MOFU (traffic), 1 TOFU (reach) |
| Ad variations | 3-4 total | Test 2 hooks, 2 images/videos |
| Daily budget | ~$33/day | Split: $20 BOFU, $8 MOFU, $5 TOFU |
| Success metric | CPA below break-even | If CPA > break-even after 2 weeks, change offer/audience |
| Timeline to evaluate | 2-4 weeks | Need 20-30 conversions minimum for statistical significance |
Milestone to scale: Achieve profitable CPA for 2 consecutive weeks.
Tier 2: $3,000/month (Growth Phase)
Goal: Scale winning campaigns, add second platform, build retargeting.
| Item | Allocation | Notes |
|---|---|---|
| Platforms | 2 platforms | Add secondary platform (e.g., add Meta if started with Google) |
| Campaigns | 5-7 campaigns | Full funnel on primary, BOFU on secondary |
| Ad variations | 8-12 total | A/B test headlines, images, audiences |
| Daily budget | ~$100/day | Primary: $70/day, Secondary: $30/day |
| Retargeting | Activate now | $10-15/day on retargeting campaigns |
| Success metric | Maintain CPA while scaling volume | Volume should 2x-3x from Tier 1 |
Milestone to scale: Maintain CPA within 20% of Tier 1 while 2x-ing conversions.
Show full SKILL.md (736 more words)Show less
Tier 3: $5,000/month (Acceleration)
Goal: Full-funnel operation, creative testing at scale, audience expansion.
| Item | Allocation | Notes |
|---|---|---|
| Platforms | 2-3 platforms | Full funnel on 2, testing on 3rd |
| Campaigns | 8-12 campaigns | Full funnel on each platform |
| Ad variations | 15-20 total | Dedicated creative testing budget (10-15% of spend) |
| Daily budget | ~$167/day | Primary: $85, Secondary: $50, Testing: $32 |
| Retargeting | 15% of budget | Multi-window sequences (1, 3, 7, 14, 30 day) |
| Creative refresh | Every 2 weeks | Budget for new photos, UGC, video content |
| Success metric | Positive ROAS across all platforms | Each platform should be independently profitable |
Milestone to scale: Each platform profitable independently; creative refresh system running.
Tier 4: $10,000/month (Scale Mode)
Goal: Maximize profitable spend, automate, explore new channels, systematize.
| Item | Allocation | Notes |
|---|---|---|
| Platforms | 3-4 platforms | Testing emerging platforms (TikTok, Pinterest, Snapchat) |
| Campaigns | 15-25 campaigns | Segmented by audience, funnel stage, platform |
| Ad variations | 25-40 total | Dedicated UGC pipeline, professional creative, user content |
| Daily budget | ~$333/day | Distributed across full funnel, all platforms |
| Retargeting | 15-20% of budget | Advanced sequences with dynamic creative |
| Creative refresh | Weekly | Need content pipeline (UGC creators, designer, video editor) |
| Automation | Advantage+ / PMax | Let platforms optimize with large data sets |
| Team needs | Media buyer + creative designer | Consider hiring or outsourcing at this budget |
| Success metric | Blended ROAS >3x | Scale budget 20% weekly on campaigns above target ROAS |
Milestone to scale: Systematized creative pipeline, consistent ROAS, clear path to $20K/mo.
Campaign-Level Budget Splits
For Each Platform, Split Budget by Campaign Type
Meta (Facebook/Instagram):
| Campaign Type | % of Platform Budget | Objective | Bidding |
|---|---|---|---|
| Prospecting — Video Views | 15% | Awareness | Lowest cost per ThruPlay |
| Prospecting — Traffic | 15% | Traffic | Lowest cost per click |
| Lead Generation | 20% | Leads | Cost cap at target CPL |
| Conversion — Purchase/Sign-up | 30% | Conversions | Target CPA |
| Retargeting — Multi-window | 15% | Conversions | Lowest cost |
| Testing — Creative Tests | 5% | Traffic or Conversions | Lowest cost |
Google Ads:
| Campaign Type | % of Platform Budget | Objective | Bidding |
|---|---|---|---|
| Brand Search | 10% | Conversions | Target CPA |
| Non-Brand Search (High Intent) | 35% | Conversions | Target CPA / Maximize Conversions |
| Non-Brand Search (Informational) | 15% | Clicks | Manual CPC / Maximize Clicks |
| Shopping / Performance Max | 20% | Conversions | Target ROAS |
| Display Remarketing | 10% | Conversions | Target CPA |
| YouTube (Awareness) | 10% | Views | Maximum CPV |
LinkedIn:
| Campaign Type | % of Platform Budget | Objective | Bidding |
|---|---|---|---|
| Sponsored Content — Awareness | 20% | Brand Awareness | Maximum delivery |
| Sponsored Content — Traffic | 20% | Website Visits | Cost cap |
| Lead Gen Forms | 30% | Lead Generation | Cost cap at target CPL |
| Message Ads (InMail) | 15% | Website Conversions | Cost per send |
| Retargeting — Matched Audiences | 15% | Website Conversions | Cost cap |
Budget Optimization Rules
When to Increase Budget
- Campaign has been profitable (ROAS > target) for 7+ consecutive days
- CPA is 30%+ below break-even CPA
- Frequency is below 2.0 (still reaching new people)
- Conversion volume is increasing week-over-week
How much to increase: 20-30% every 3-5 days. Never double overnight — algorithms need time to re-optimize.
When to Decrease Budget
- CPA has been above break-even for 5+ consecutive days
- ROAS is below 1x (losing money)
- Frequency is above 4.0 (audience fatigue)
- CTR has dropped 30%+ from initial performance
How much to decrease: Cut by 30-50%, pause worst-performing ad sets, keep best performers running.
When to Pause
- CPA is 2x+ above break-even for 3+ days
- No conversions in 5+ days despite adequate spend
- CTR below 0.5% (Meta) or 1% (Google Search)
- Landing page conversion rate below 1%
When to Reallocate
- One platform consistently outperforms another by 2x+ ROAS
- Shift 20% of underperforming platform budget to winner
- Re-evaluate monthly — seasonal shifts change platform performance
Output Template
Generate the output as ADS-BUDGET.md using this structure:
# Ad Budget Allocation Plan
**Generated:** [Date]
**Monthly Budget:** $[Amount]
**Business Type:** [Type]
**Average Order Value (AOV):** $[Amount]
**Customer Lifetime Value (LTV):** $[Amount]
**Break-Even CPA:** $[Amount]
---
## Executive Summary
[2-3 sentences: recommended approach, expected ROI range, primary platform focus]
---
## Recommended Platform Mix
| Platform | Allocation | Monthly Budget | Daily Budget | Why |
|---|---|---|---|---|
| [Platform 1] | [X]% | $[X] | $[X] | [Reason] |
| [Platform 2] | [X]% | $[X] | $[X] | [Reason] |
| [Platform 3] | [X]% | $[X] | $[X] | [Reason] |
---
## Scenario 1: Conservative
### Budget Allocation
[Detailed breakdown by platform, campaign, and funnel stage]
### ROI Projections
[Projection table with all metrics]
### Risk Assessment
[What could go wrong, mitigation strategies]
---
## Scenario 2: Balanced (Recommended)
### Budget Allocation
[Detailed breakdown]
### ROI Projections
[Projection table]
### Why This Is Recommended
[Explanation of why this scenario fits their situation]
---
## Scenario 3: Aggressive
### Budget Allocation
[Detailed breakdown]
### ROI Projections
[Projection table]
### Requirements for This Approach
[What they need to have in place: proven offer, creatives, team, etc.]
---
## Break-Even Analysis
[Break-even CPA calculation with explanation]
[Payback period estimate]
[LTV-based vs. first-purchase analysis]
---
## Scaling Roadmap
### Current Budget: $[X]/mo
[What to do now]
### Next Milestone: $[X]/mo
[What needs to happen to justify scaling]
### Growth Target: $[X]/mo
[Long-term allocation at scale]
---
## Budget Optimization Calendar
### Week 1-2: Launch & Learn
[What to monitor, minimum thresholds]
### Week 3-4: Optimize
[What to cut, what to scale, budget reallocation rules]
### Month 2: Scale Winners
[Scaling rules, new platform activation criteria]
### Month 3: Expand
[New audiences, new platforms, creative testing budget]
---
## Key Assumptions & Disclaimers
- CPM/CPC/CPA estimates based on industry averages as of [current year]
- Actual performance depends on creative quality, landing page conversion rates, and market conditions
- Projections assume proper conversion tracking is installed
- First 2-4 weeks are a learning phase — expect higher-than-average CPAs
- Numbers improve as pixel data accumulates and algorithms optimizeRules
- ALWAYS ask for or estimate AOV/LTV — without this, ROI projections are meaningless
- ALWAYS present all 3 scenarios — let the user choose their risk tolerance
- ALWAYS calculate break-even CPA — this is the most important number in the report
- ALWAYS use industry-specific benchmarks, not generic averages
- ALWAYS include the scaling roadmap — users need to know where to go next
- ALWAYS include daily budget numbers, not just monthly — media buyers work in daily budgets
- NEVER recommend LinkedIn if the monthly budget is under $1,000 — the CPCs make it unviable
- NEVER recommend more than 2 platforms if the budget is under $2,000 — spread too thin
- NEVER project ROAS without stating assumptions — always note that projections are estimates
- NEVER ignore minimum viable budget thresholds — some platforms need minimum spend to optimize
- ALWAYS flag when a budget is too low for a platform ("$300/mo on LinkedIn will not generate meaningful data")
- Output the complete budget plan to
ADS-BUDGET.mdin the current working directory
© zubair-trabzada, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/ads-budget of zubair-trabzada/ai-ads-claude.
Open the folder on GitHubat commit d1df3f5
Compare with similar skills
Ads Budget next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Ads Budget this skillzubair-trabzada/ai-ads-claude | 268 | — | ~4.6k | Automated safety check: Pass | MIT | |
| Ads BudgetAgriciDaniel/claude-ads | 9.9k | — | ~301 | Automated safety check: Pass | MIT | |
| Adscoreyhaines31/marketingskills | 54k | 1 repos | ~7k | Automated safety check: Pass | MIT | |
| Ad Spend Allocatoririnabuht12-oss/marketing-skills | 4.1k | — | ~1.3k | Automated safety check: Pass | None | |
| Ad Creativecoreyhaines31/marketingskills | 54k | — | ~6.3k | Automated safety check: Pass | MIT | |
| Ad Creativenexu-io/open-design | 100k | — | ~305 | Automated safety check: Pass | Apache-2.0 |
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Questions about Ads Budget
What does Ads Budget do?
Budget Allocation & ROI Projector. An agent skill from zubair-trabzada/ai-ads-claude. Ads Budget is an agent skill from zubair-trabzada/ai-ads-claude. Budget Allocation & ROI Projector.
How do I install Ads Budget in Claude Code?
Run `npx skills add zubair-trabzada/ai-ads-claude --skill ads-budget -a claude-code`. Or copy the skill folder (skills/ads-budget in zubair-trabzada/ai-ads-claude) into .claude/skills/ads-budget in your project. Claude Code loads it when a task matches its description.
How do I install Ads Budget in Codex?
Run `npx skills add zubair-trabzada/ai-ads-claude --skill ads-budget -a codex`. Or copy the skill folder (skills/ads-budget in zubair-trabzada/ai-ads-claude) into .agents/skills/ads-budget in your project. Codex loads it when a task matches its description.
Can I use Ads Budget in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add zubair-trabzada/ai-ads-claude --skill ads-budget -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ads-budget, .gemini/skills/ads-budget, .github/skills/ads-budget and .opencode/skills/ads-budget in your project.
What does Ads Budget need to run?
SKILL.md names no scripts, command-line tools or credentials: Ads Budget is instructions for the agent only.
Does Ads Budget access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Ads Budget safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Ads Budget use?
Ads Budget is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Ads Budget use?
About 4.6k tokens (SKILL.md is roughly 18k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Ads Budget?
Skills that share tags, products or a category with Ads Budget: Ads Budget (AgriciDaniel/claude-ads, 9.9k stars), Ads (coreyhaines31/marketingskills, 54k stars), Ad Spend Allocator (irinabuht12-oss/marketing-skills, 4.1k stars) and Ad Creative (coreyhaines31/marketingskills, 54k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Ads Budget?
zubair-trabzada (a GitHub user) maintains it in zubair-trabzada/ai-ads-claude, which has 268 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on April 8, 2026.
Source: zubair-trabzada/ai-ads-claude on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.