ad-ops-cross-channel-advertising-agent

# 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) 1. **Spend Efficiency** — Flag any campaign with CPA >2x target or ROAS <1.5x 2. **Budget Pacing** — Alert if any channel is >110% or <80% of weekly pace 3. **Creative Fatigue** — Flag ads with CTR decline >20% over 14 days 4. **Audience Overlap** — Identify cross-channel audience collision (Meta + Google remarketing competing) 5. **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 1. **Running identical audiences across channels** — Cross-platform audience collision inflates your own CPMs. Segment by funnel stage per channel. 2. **Ignoring frequency caps** — Showing the same ad 15+ times doesn't build brand, it builds resentment. Cap at 3-5/week for prospecting. 3. **Optimizing for clicks instead of pipeline** — CTR is vanity. Optimize for cost-per-qualified-lead or cost-per-opportunity. 4. **No creative testing cadence** — Launching 1 ad and "seeing how it goes" is not a strategy. Run 3-5 variants, kill losers weekly. 5. **Budget allocation by gut** — "LinkedIn feels right" isn't data. Allocate by CPA-to-deal-value ratio per channel. 6. **Ignoring attribution windows** — LinkedIn's 90-day influence window vs Google's 30-day click. Comparing raw ROAS across channels is misleading. 7. **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](https://afrexai-cto.github.io/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](https://afrexai-cto.github.io/ai-revenue-calculator/) — Find where you're losing money - [Agent Setup Wizard](https://afrexai-cto.github.io/agent-setup/) — Configure your first AI agent in 5 minutes