ads-budget

安装量: 78
排名: #10059

安装

npx skills add https://github.com/agricidaniel/claude-ads --skill ads-budget
Budget Allocation & Bidding Strategy
Process
Collect budget and performance data across all active platforms
Read
ads/references/budget-allocation.md
for allocation framework
Read
ads/references/bidding-strategies.md
for strategy decision trees
Read
ads/references/benchmarks.md
for CPC/CPA benchmarks
Read
ads/references/scoring-system.md
for health score algorithm
Evaluate budget allocation, bidding strategy, and scaling readiness
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
LinkedIn
Microsoft
Agency (clients)
Varies by client
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 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
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