{
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  "item": {
    "slug": "afrexai-ad-ops",
    "name": "Ad Ops & Cross-Channel Advertising Agent",
    "source": "tencent",
    "type": "skill",
    "category": "AI 智能",
    "sourceUrl": "https://clawhub.ai/1kalin/afrexai-ad-ops",
    "canonicalUrl": "https://clawhub.ai/1kalin/afrexai-ad-ops",
    "targetPlatform": "OpenClaw"
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    "sourcePlatform": "tencent",
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    "installMethod": "Manual import",
    "extraction": "Extract archive",
    "prerequisites": [
      "OpenClaw"
    ],
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      "README.md",
      "SKILL.md"
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      "Download the package from Yavira.",
      "Extract the archive and review SKILL.md first.",
      "Import or place the package into your OpenClaw setup."
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      "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.",
      "steps": [
        "Download the package from Yavira.",
        "Extract it into a folder your agent can access.",
        "Paste one of the prompts below and point your agent at the extracted folder."
      ],
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        {
          "label": "New install",
          "body": "I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete."
        },
        {
          "label": "Upgrade existing",
          "body": "I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run."
        }
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      "checkedAt": "2026-04-23T16:43:11.935Z",
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        "redirectLocation": null,
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      },
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      "summary": "Source download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this source.",
      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/afrexai-ad-ops"
    },
    "validation": {
      "installChecklist": [
        "Use the Yavira download entry.",
        "Review SKILL.md after the package is downloaded.",
        "Confirm the extracted package contains the expected setup assets."
      ],
      "postInstallChecks": [
        "Confirm the extracted package includes the expected docs or setup files.",
        "Validate the skill or prompts are available in your target agent workspace.",
        "Capture any manual follow-up steps the agent could not complete."
      ]
    },
    "downloadPageUrl": "https://openagent3.xyz/downloads/afrexai-ad-ops",
    "agentPageUrl": "https://openagent3.xyz/skills/afrexai-ad-ops/agent",
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    "briefUrl": "https://openagent3.xyz/skills/afrexai-ad-ops/agent.md"
  },
  "agentAssist": {
    "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.",
    "steps": [
      "Download the package from Yavira.",
      "Extract it into a folder your agent can access.",
      "Paste one of the prompts below and point your agent at the extracted folder."
    ],
    "prompts": [
      {
        "label": "New install",
        "body": "I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete."
      },
      {
        "label": "Upgrade existing",
        "body": "I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run."
      }
    ]
  },
  "documentation": {
    "source": "clawhub",
    "primaryDoc": "SKILL.md",
    "sections": [
      {
        "title": "Ad Ops & Cross-Channel Advertising Agent",
        "body": "Autonomous advertising operations framework for AI agents managing campaigns across Google Ads, Meta, LinkedIn, TikTok, and programmatic."
      },
      {
        "title": "What This Skill Does",
        "body": "Turns your agent into an ad ops manager that can plan, audit, optimize, and report on cross-channel advertising — without touching a dashboard."
      },
      {
        "title": "Campaign Architecture",
        "body": "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\nBudget Allocation Framework — 70/20/10 rule: 70% proven channels, 20% scaling channels, 10% experimental. Rebalance weekly based on CPA trends\nCampaign Naming Convention — {brand}_{channel}_{objective}_{audience}_{geo}_{date} — enforced across all platforms for clean reporting"
      },
      {
        "title": "Performance Audit (Run Weekly)",
        "body": "Spend Efficiency — Flag any campaign with CPA >2x target or ROAS <1.5x\nBudget Pacing — Alert if any channel is >110% or <80% of weekly pace\nCreative Fatigue — Flag ads with CTR decline >20% over 14 days\nAudience Overlap — Identify cross-channel audience collision (Meta + Google remarketing competing)\nLanding Page Alignment — Check bounce rate by ad-to-page combination; flag >65%"
      },
      {
        "title": "Optimization Playbook",
        "body": "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"
      },
      {
        "title": "Budget Framework by Company Size",
        "body": "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+"
      },
      {
        "title": "Channel-Specific Benchmarks (B2B SaaS, 2026)",
        "body": "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%"
      },
      {
        "title": "Reporting Template (Weekly)",
        "body": "WEEKLY AD OPS REPORT — Week of [DATE]\n\nTOTAL SPEND: $[X] ([+/-]% vs budget)\nTOTAL LEADS: [X] (Blended CPL: $[X])\nTOTAL PIPELINE: $[X] (ROAS: [X]x)\n\nBY CHANNEL:\n[Channel] — $[spend] | [leads] leads | $[CPL] CPL | [ROAS]x ROAS\n[repeat per channel]\n\nTOP PERFORMERS:\n- [Campaign] — [metric] ([why it works])\n\nUNDERPERFORMERS (action required):\n- [Campaign] — [metric] → [recommended action]\n\nNEXT WEEK PLAN:\n- [Action 1]\n- [Action 2]"
      },
      {
        "title": "7 Ad Ops Mistakes That Burn Budget",
        "body": "Running identical audiences across channels — Cross-platform audience collision inflates your own CPMs. Segment by funnel stage per channel.\nIgnoring frequency caps — Showing the same ad 15+ times doesn't build brand, it builds resentment. Cap at 3-5/week for prospecting.\nOptimizing for clicks instead of pipeline — CTR is vanity. Optimize for cost-per-qualified-lead or cost-per-opportunity.\nNo creative testing cadence — Launching 1 ad and \"seeing how it goes\" is not a strategy. Run 3-5 variants, kill losers weekly.\nBudget allocation by gut — \"LinkedIn feels right\" isn't data. Allocate by CPA-to-deal-value ratio per channel.\nIgnoring attribution windows — LinkedIn's 90-day influence window vs Google's 30-day click. Comparing raw ROAS across channels is misleading.\nManual bid management at scale — If you're managing >20 campaigns manually, you're leaving 15-30% efficiency on the table. Automate or agent-ify."
      },
      {
        "title": "Industry Ad Strategy Quick-Reference",
        "body": "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"
      },
      {
        "title": "Get Industry-Specific Ad Strategy",
        "body": "These frameworks give you the structure. For deep industry context — compliance rules, audience segments, messaging angles, competitive positioning — grab the full context packs:\n\nAfrexAI Context Packs — $47 each | Pick 3 for $97 | All 10 for $197\n\n10 industries. Real operator knowledge, not recycled blog posts.\n\nFree tools:\n\nAI Revenue Leak Calculator — Find where you're losing money\nAgent Setup Wizard — Configure your first AI agent in 5 minutes"
      }
    ],
    "body": "Ad Ops & Cross-Channel Advertising Agent\n\nAutonomous advertising operations framework for AI agents managing campaigns across Google Ads, Meta, LinkedIn, TikTok, and programmatic.\n\nWhat This Skill Does\n\nTurns your agent into an ad ops manager that can plan, audit, optimize, and report on cross-channel advertising — without touching a dashboard.\n\nCapabilities\nCampaign Architecture\nChannel 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\nBudget Allocation Framework — 70/20/10 rule: 70% proven channels, 20% scaling channels, 10% experimental. Rebalance weekly based on CPA trends\nCampaign Naming Convention — {brand}_{channel}_{objective}_{audience}_{geo}_{date} — enforced across all platforms for clean reporting\nPerformance Audit (Run Weekly)\nSpend Efficiency — Flag any campaign with CPA >2x target or ROAS <1.5x\nBudget Pacing — Alert if any channel is >110% or <80% of weekly pace\nCreative Fatigue — Flag ads with CTR decline >20% over 14 days\nAudience Overlap — Identify cross-channel audience collision (Meta + Google remarketing competing)\nLanding Page Alignment — Check bounce rate by ad-to-page combination; flag >65%\nOptimization Playbook\nSignal\tAction\tTimeline\nCPA rising, CTR stable\tAudience fatigue — refresh targeting\t48 hours\nCPA rising, CTR falling\tCreative fatigue — new variants\t24 hours\nHigh CTR, low conversion\tLanding page mismatch — A/B test\t72 hours\nLow impression share\tBudget cap or bid floor — increase or restructure\tSame day\nOne channel dominates ROAS\tScale budget 20% weekly until CPA ceiling\tWeekly\nBudget Framework by Company Size\nCompany Size\tMonthly Ad Budget\tChannels\tExpected Pipeline\nStartup (1-10)\t$2,000-$5,000\t2 channels max\t$20K-$50K\nGrowth (11-50)\t$5,000-$25,000\t3-4 channels\t$50K-$250K\nScale (51-200)\t$25,000-$100,000\t5-6 channels\t$250K-$1M\nEnterprise (200+)\t$100,000+\tFull stack\t$1M+\nChannel-Specific Benchmarks (B2B SaaS, 2026)\nChannel\tAvg CPC\tAvg CPL\tAvg CTR\tConv Rate\nGoogle Search (branded)\t$2-$5\t$15-$40\t4-8%\t8-15%\nGoogle Search (non-brand)\t$5-$15\t$40-$120\t2-4%\t3-6%\nLinkedIn Sponsored\t$8-$14\t$75-$200\t0.4-0.8%\t2-4%\nMeta (B2B lookalike)\t$1-$4\t$30-$80\t0.8-1.5%\t3-5%\nProgrammatic Display\t$0.50-$2\t$50-$150\t0.1-0.3%\t1-2%\nYouTube Pre-roll\t$0.03-$0.08/view\t$80-$200\t0.5-1%\t1-3%\nTikTok (B2B emerging)\t$1-$3\t$40-$100\t1-2%\t2-4%\nReporting Template (Weekly)\nWEEKLY AD OPS REPORT — Week of [DATE]\n\nTOTAL SPEND: $[X] ([+/-]% vs budget)\nTOTAL LEADS: [X] (Blended CPL: $[X])\nTOTAL PIPELINE: $[X] (ROAS: [X]x)\n\nBY CHANNEL:\n[Channel] — $[spend] | [leads] leads | $[CPL] CPL | [ROAS]x ROAS\n[repeat per channel]\n\nTOP PERFORMERS:\n- [Campaign] — [metric] ([why it works])\n\nUNDERPERFORMERS (action required):\n- [Campaign] — [metric] → [recommended action]\n\nNEXT WEEK PLAN:\n- [Action 1]\n- [Action 2]\n\n7 Ad Ops Mistakes That Burn Budget\nRunning identical audiences across channels — Cross-platform audience collision inflates your own CPMs. Segment by funnel stage per channel.\nIgnoring frequency caps — Showing the same ad 15+ times doesn't build brand, it builds resentment. Cap at 3-5/week for prospecting.\nOptimizing for clicks instead of pipeline — CTR is vanity. Optimize for cost-per-qualified-lead or cost-per-opportunity.\nNo creative testing cadence — Launching 1 ad and \"seeing how it goes\" is not a strategy. Run 3-5 variants, kill losers weekly.\nBudget allocation by gut — \"LinkedIn feels right\" isn't data. Allocate by CPA-to-deal-value ratio per channel.\nIgnoring attribution windows — LinkedIn's 90-day influence window vs Google's 30-day click. Comparing raw ROAS across channels is misleading.\nManual bid management at scale — If you're managing >20 campaigns manually, you're leaving 15-30% efficiency on the table. Automate or agent-ify.\nIndustry Ad Strategy Quick-Reference\nIndustry\tTop 2 Channels\tKey Metric\tBudget Sweet Spot\nFintech\tGoogle Search + LinkedIn\tCost per qualified demo\t$15K-$40K/mo\nHealthcare\tGoogle Search + Programmatic\tCost per HCP engagement\t$10K-$30K/mo\nLegal\tGoogle Search + YouTube\tCost per consultation\t$8K-$25K/mo\nConstruction\tGoogle Search + Meta\tCost per RFQ\t$5K-$15K/mo\nEcommerce\tMeta + Google Shopping\tROAS (target 4x+)\t$10K-$50K/mo\nSaaS\tLinkedIn + Google Search\tCost per trial signup\t$10K-$35K/mo\nReal Estate\tMeta + Google Display\tCost per showing/inquiry\t$5K-$20K/mo\nRecruitment\tLinkedIn + Indeed/programmatic\tCost per application\t$8K-$25K/mo\nManufacturing\tGoogle Search + LinkedIn\tCost per RFQ\t$5K-$15K/mo\nProfessional Services\tLinkedIn + Google Search\tCost per consultation\t$8K-$30K/mo\nGet Industry-Specific Ad Strategy\n\nThese frameworks give you the structure. For deep industry context — compliance rules, audience segments, messaging angles, competitive positioning — grab the full context packs:\n\nAfrexAI Context Packs — $47 each | Pick 3 for $97 | All 10 for $197\n\n10 industries. Real operator knowledge, not recycled blog posts.\n\nFree tools:\n\nAI Revenue Leak Calculator — Find where you're losing money\nAgent Setup Wizard — Configure your first AI agent in 5 minutes"
  },
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    "sourceLabel": "tencent",
    "provenanceUrl": "https://clawhub.ai/1kalin/afrexai-ad-ops",
    "publisherUrl": "https://clawhub.ai/1kalin/afrexai-ad-ops",
    "owner": "1kalin",
    "version": "1.1.0",
    "license": null,
    "verificationStatus": "Indexed source record"
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/afrexai-ad-ops",
    "downloadUrl": "https://openagent3.xyz/downloads/afrexai-ad-ops",
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