afrexai-ad-ops
v1.1.0自动管理优化跨渠道广告投放，支持策划、审计、预算分配及效果报告，覆盖主流平台。
Sourced from ClawHub,
Authored by 1kalin
Installation
Please help me install the skill `afrexai-ad-ops` from SkillHub official store.
npx skills add 1kalin/afrexai-ad-ops
Ad Ops & Cross-Channel Advertising Agent
Autonomous advertising operations framework for AI agents managing campaigns across Google Ads, Meta, LinkedIn, TikTok, and programmatic.
What This Skill Does
Turns your agent into an ad ops manager that can plan, audit, optimize, and report on cross-channel advertising — without touching a dashboard.
Capabilities
Campaign Architecture
- Channel Selection Matrix — Score 8 channels (Google Search, Display, Meta, Instagram, LinkedIn, TikTok, Programmatic, YouTube) across 6 factors: CPL range, intent level, audience precision, creative complexity, minimum viable budget, time-to-signal
- Budget Allocation Framework — 70/20/10 rule: 70% proven channels, 20% scaling channels, 10% experimental. Rebalance weekly based on CPA trends
- Campaign Naming Convention —
{brand}_{channel}_{objective}_{audience}_{geo}_{date}— enforced across all platforms for clean reporting
Performance Audit (Run Weekly)
- Spend Efficiency — Flag any campaign with CPA >2x target or ROAS <1.5x
- Budget Pacing — Alert if any channel is >110% or <80% of weekly pace
- Creative Fatigue — Flag ads with CTR decline >20% over 14 days
- Audience Overlap — Identify cross-channel audience collision (Meta + Google remarketing competing)
- Landing Page Alignment — Check bounce rate by ad-to-page combination; flag >65%
Optimization Playbook
| Signal | Action | Timeline |
|---|---|---|
| CPA rising, CTR stable | Audience fatigue — refresh targeting | 48 hours |
| CPA rising, CTR falling | Creative fatigue — new variants | 24 hours |
| High CTR, low conversion | Landing page mismatch — A/B test | 72 hours |
| Low impression share | Budget cap or bid floor — increase or restructure | Same day |
| One channel dominates ROAS | Scale budget 20% weekly until CPA ceiling | Weekly |
Budget Framework by Company Size
| Company Size | Monthly Ad Budget | Channels | Expected Pipeline |
|---|---|---|---|
| Startup (1-10) | $2,000-$5,000 | 2 channels max | $20K-$50K |
| Growth (11-50) | $5,000-$25,000 | 3-4 channels | $50K-$250K |
| Scale (51-200) | $25,000-$100,000 | 5-6 channels | $250K-$1M |
| Enterprise (200+) | $100,000+ | Full stack | $1M+ |
Channel-Specific Benchmarks (B2B SaaS, 2026)
| Channel | Avg CPC | Avg CPL | Avg CTR | Conv Rate |
|---|---|---|---|---|
| Google Search (branded) | $2-$5 | $15-$40 | 4-8% | 8-15% |
| Google Search (non-brand) | $5-$15 | $40-$120 | 2-4% | 3-6% |
| LinkedIn Sponsored | $8-$14 | $75-$200 | 0.4-0.8% | 2-4% |
| Meta (B2B lookalike) | $1-$4 | $30-$80 | 0.8-1.5% | 3-5% |
| Programmatic Display | $0.50-$2 | $50-$150 | 0.1-0.3% | 1-2% |
| YouTube Pre-roll | $0.03-$0.08/view | $80-$200 | 0.5-1% | 1-3% |
| TikTok (B2B emerging) | $1-$3 | $40-$100 | 1-2% | 2-4% |
Reporting Template (Weekly)
WEEKLY AD OPS REPORT — Week of [DATE]
TOTAL SPEND: $[X] ([+/-]% vs budget)
TOTAL LEADS: [X] (Blended CPL: $[X])
TOTAL PIPELINE: $[X] (ROAS: [X]x)
BY CHANNEL:
[Channel] — $[spend] | [leads] leads | $[CPL] CPL | [ROAS]x ROAS
[repeat per channel]
TOP PERFORMERS:
- [Campaign] — [metric] ([why it works])
UNDERPERFORMERS (action required):
- [Campaign] — [metric] → [recommended action]
NEXT WEEK PLAN:
- [Action 1]
- [Action 2]
7 Ad Ops Mistakes That Burn Budget
- Running identical audiences across channels — Cross-platform audience collision inflates your own CPMs. Segment by funnel stage per channel.
- Ignoring frequency caps — Showing the same ad 15+ times doesn't build brand, it builds resentment. Cap at 3-5/week for prospecting.
- Optimizing for clicks instead of pipeline — CTR is vanity. Optimize for cost-per-qualified-lead or cost-per-opportunity.
- No creative testing cadence — Launching 1 ad and "seeing how it goes" is not a strategy. Run 3-5 variants, kill losers weekly.
- Budget allocation by gut — "LinkedIn feels right" isn't data. Allocate by CPA-to-deal-value ratio per channel.
- Ignoring attribution windows — LinkedIn's 90-day influence window vs Google's 30-day click. Comparing raw ROAS across channels is misleading.
- Manual bid management at scale — If you're managing >20 campaigns manually, you're leaving 15-30% efficiency on the table. Automate or agent-ify.
Industry Ad Strategy Quick-Reference
| Industry | Top 2 Channels | Key Metric | Budget Sweet Spot |
|---|---|---|---|
| Fintech | Google Search + LinkedIn | Cost per qualified demo | $15K-$40K/mo |
| Healthcare | Google Search + Programmatic | Cost per HCP engagement | $10K-$30K/mo |
| Legal | Google Search + YouTube | Cost per consultation | $8K-$25K/mo |
| Construction | Google Search + Meta | Cost per RFQ | $5K-$15K/mo |
| Ecommerce | Meta + Google Shopping | ROAS (target 4x+) | $10K-$50K/mo |
| SaaS | LinkedIn + Google Search | Cost per trial signup | $10K-$35K/mo |
| Real Estate | Meta + Google Display | Cost per showing/inquiry | $5K-$20K/mo |
| Recruitment | LinkedIn + Indeed/programmatic | Cost per application | $8K-$25K/mo |
| Manufacturing | Google Search + LinkedIn | Cost per RFQ | $5K-$15K/mo |
| Professional Services | LinkedIn + Google Search | Cost per consultation | $8K-$30K/mo |
Get Industry-Specific Ad Strategy
These frameworks give you the structure. For deep industry context — compliance rules, audience segments, messaging angles, competitive positioning — grab the full context packs:
AfrexAI Context Packs — $47 each | Pick 3 for $97 | All 10 for $197
10 industries. Real operator knowledge, not recycled blog posts.
Free tools: - AI Revenue Leak Calculator — Find where you're losing money - Agent Setup Wizard — Configure your first AI agent in 5 minutes