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.

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

SignalActionTimelineCPA rising, CTR stableAudience fatigue — refresh targeting48 hoursCPA rising, CTR fallingCreative fatigue — new variants24 hoursHigh CTR, low conversionLanding page mismatch — A/B test72 hoursLow impression shareBudget cap or bid floor — increase or restructureSame dayOne channel dominates ROASScale budget 20% weekly until CPA ceilingWeekly

Budget Framework by Company Size

Company SizeMonthly Ad BudgetChannelsExpected PipelineStartup (1-10)$2,000-$5,0002 channels max$20K-$50KGrowth (11-50)$5,000-$25,0003-4 channels$50K-$250KScale (51-200)$25,000-$100,0005-6 channels$250K-$1MEnterprise (200+)$100,000+Full stack$1M+

Channel-Specific Benchmarks (B2B SaaS, 2026)

ChannelAvg CPCAvg CPLAvg CTRConv RateGoogle Search (branded)$2-$5$15-$404-8%8-15%Google Search (non-brand)$5-$15$40-$1202-4%3-6%LinkedIn Sponsored$8-$14$75-$2000.4-0.8%2-4%Meta (B2B lookalike)$1-$4$30-$800.8-1.5%3-5%Programmatic Display$0.50-$2$50-$1500.1-0.3%1-2%YouTube Pre-roll$0.03-$0.08/view$80-$2000.5-1%1-3%TikTok (B2B emerging)$1-$3$40-$1001-2%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

IndustryTop 2 ChannelsKey MetricBudget Sweet SpotFintechGoogle Search + LinkedInCost per qualified demo$15K-$40K/moHealthcareGoogle Search + ProgrammaticCost per HCP engagement$10K-$30K/moLegalGoogle Search + YouTubeCost per consultation$8K-$25K/moConstructionGoogle Search + MetaCost per RFQ$5K-$15K/moEcommerceMeta + Google ShoppingROAS (target 4x+)$10K-$50K/moSaaSLinkedIn + Google SearchCost per trial signup$10K-$35K/moReal EstateMeta + Google DisplayCost per showing/inquiry$5K-$20K/moRecruitmentLinkedIn + Indeed/programmaticCost per application$8K-$25K/moManufacturingGoogle Search + LinkedInCost per RFQ$5K-$15K/moProfessional ServicesLinkedIn + Google SearchCost 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