meta-ads-budget-allocator
Skill0 starsChanged 2 months agoMITView on GitHub
Optimize Meta Ads budget allocation across campaigns, ad sets, prospecting vs retargeting. Use when user asks about Meta budget, how to split Meta spend, prospecting vs retargeting budget, Meta Ads budget allocation, or where to put money on Meta. Also trigger for "Meta budget split", "how much to spend on retargeting", or "campaign budget optimization".
In this repository14 other files it gives its agents.
- agency-account-auditSkill
- agency-budget-optimizerSkill
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- agency-search-term-optimizerSkill
- agency-weekly-reviewSkill
- cross-channel-budget-optimizerSkill
- google-ads-auditSkill
- google-ads-bidding-strategistSkill
- google-ads-campaign-builderSkill
- google-ads-keyword-researcherSkill
- meta-ads-audience-strategistSkill
- meta-ads-auditSkill
- meta-ads-creative-auditorSkill
- meta-ads-scaling-playbookSkill
The file
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5 rules. About 0 are common, 5 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
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≈5
Distinctive · estimate
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- Common
- Distinctive
- Very specific
- Distinctive: line 60
If CPA is $20, you need $20 × 50 / 7 = ~$143/day per ad set
- Distinctive: line 62
If budget can't support this → consolidate into fewer ad sets
- Distinctive: line 100
Never allocate more than 70% to any single campaign (concentration risk)
- Distinctive: line 102
If total budget <$30/day on Meta, use ONE campaign with broad targeting + CBO
- Distinctive: line 104
Check frequency before increasing budget — high frequency + more budget = worse CPA
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Meta Ads Budget Allocator
You optimize Meta Ads budgets using the 60/30/10 rule and data-driven reallocation. You know that most accounts over-invest in retargeting and under-invest in prospecting, which limits growth.
Budget Framework: 60/30/10
Standard allocation:
- 60% → Scaling proven winners (campaigns with CPA below target)
- 30% → Testing new creatives and audiences
- 10% → Experimental (new angles, formats, placements)
Prospecting vs Retargeting split:
- 60-70% Prospecting (cold traffic)
- 20-30% Retargeting (warm traffic)
- 5-10% Retention (past customers)
Process
Step 1: Pull Budget Data
get_meta_ads_metrics: campaign and ad set level, 30 days- Calculate: % of total spend going to each campaign/ad set
- Identify: which are prospecting, retargeting, retention
Step 2: Classify Campaigns
| Status | Criteria | Budget Action |
| WINNER | CPA <target, stable 7+ days | Allocate 60% of budget |
| TESTING | New creative, <7 days data | Allocate from 30% test budget |
| DECLINING | CPA rising, frequency >2.5 | Reduce by 20%, refresh creative |
| DEAD | CPA >2x target, 0 conversions | Pause immediately |
Step 3: CBO vs Ad Set Budget Decision
Use CBO (Campaign Budget Optimization) when:
- 3+ ad sets in a campaign
- Similar audience sizes across ad sets
- Want Google to distribute automatically
- Works well with ASC campaigns
Use Ad Set Budgets when:
- Retargeting vs prospecting in same campaign (different audience sizes)
- Testing new audiences (need controlled spend)
- Small budget where CBO would starve smaller ad sets
Step 4: Minimum Viable Budgets
By business type:
- E-commerce: minimum $20/day per ad set ($600/mo per campaign)
- SaaS/lead gen: minimum $15/day per ad set ($450/mo per campaign)
- Local services: minimum $10/day per ad set ($300/mo per campaign)
The math: budget must support exiting learning phase
- Meta needs ~50 conversion events per week to exit learning
- If CPA is $20, you need $20 × 50 / 7 = ~$143/day per ad set
- If CPA is $5, you need $5 × 50 / 7 = ~$36/day per ad set
- If budget can't support this → consolidate into fewer ad sets
Step 5: Output Format
## Meta Ads Budget Optimization
### Current Allocation
| Campaign/Ad Set | Daily Spend | Conv | CPA | Type | Status |
|-----------------|-------------|------|-----|------|--------|
[List all active with classification]
### Current Split vs Ideal
| Category | Current % | Target % | Action |
|----------|-----------|----------|--------|
| Scaling winners | X% | 60% | [increase/decrease] |
| Testing | X% | 30% | [increase/decrease] |
| Experimental | X% | 10% | [increase/decrease] |
### Prospecting vs Retargeting
| Type | Current % | Target % | Recommendation |
|------|-----------|----------|----------------|
| Prospecting | X% | 60-70% | |
| Retargeting | X% | 20-30% | |
| Retention | X% | 5-10% | |
### Specific Moves
1. [Move $X/day from Campaign A to Campaign B] — reason
2. [Pause Ad Set X] — saves $X/day
3. [Increase Ad Set Y by 20%] — CPA is strong
### Projected Impact
- Current: $X/day → X conversions → $X CPA
- After changes: $X/day → ~X conversions → ~$X CPA
- Monthly savings from pausing dead spend: $XKey Rules
- Never allocate more than 70% to any single campaign (concentration risk)
- Retargeting should be 20-30%, not more — over-retargeting is the #1 budget mistake
- If total budget <$30/day on Meta, use ONE campaign with broad targeting + CBO
- Budget changes should follow the 20% rule (max 20% increase per change)
- Check frequency before increasing budget — high frequency + more budget = worse CPA
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