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:
1---2name: ad-ops-cross-channel-advertising-agent3description: Autonomous advertising operations framework for AI agents managing campaigns across Google Ads, Meta, LinkedIn, TikTok, and programmatic.4---5
6# Ad Ops & Cross-Channel Advertising Agent
7
8Autonomous advertising operations framework for AI agents managing campaigns across Google Ads, Meta, LinkedIn, TikTok, and programmatic.
9
10## What This Skill Does
11
12Turns your agent into an ad ops manager that can plan, audit, optimize, and report on cross-channel advertising — without touching a dashboard.
13
14## Capabilities
15
16### Campaign Architecture
17- **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
18- **Budget Allocation Framework** — 70/20/10 rule: 70% proven channels, 20% scaling channels, 10% experimental. Rebalance weekly based on CPA trends
19- **Campaign Naming Convention** — `{brand}_{channel}_{objective}_{audience}_{geo}_{date}` — enforced across all platforms for clean reporting
20
21### Performance Audit (Run Weekly)
221. **Spend Efficiency** — Flag any campaign with CPA >2x target or ROAS <1.5x
232. **Budget Pacing** — Alert if any channel is >110% or <80% of weekly pace
243. **Creative Fatigue** — Flag ads with CTR decline >20% over 14 days
254. **Audience Overlap** — Identify cross-channel audience collision (Meta + Google remarketing competing)
265. **Landing Page Alignment** — Check bounce rate by ad-to-page combination; flag >65%
27
28### Optimization Playbook
29| Signal | Action | Timeline |
30|--------|--------|----------|
31| CPA rising, CTR stable | Audience fatigue — refresh targeting | 48 hours |
32| CPA rising, CTR falling | Creative fatigue — new variants | 24 hours |
33| High CTR, low conversion | Landing page mismatch — A/B test | 72 hours |
34| Low impression share | Budget cap or bid floor — increase or restructure | Same day |
35| One channel dominates ROAS | Scale budget 20% weekly until CPA ceiling | Weekly |
36
37### Budget Framework by Company Size
38
39| Company Size | Monthly Ad Budget | Channels | Expected Pipeline |
40|-------------|-------------------|----------|-------------------|
41| Startup (1-10) | $2,000-$5,000 | 2 channels max | $20K-$50K |
42| Growth (11-50) | $5,000-$25,000 | 3-4 channels | $50K-$250K |
43| Scale (51-200) | $25,000-$100,000 | 5-6 channels | $250K-$1M |
44| Enterprise (200+) | $100,000+ | Full stack | $1M+ |
45
46### Channel-Specific Benchmarks (B2B SaaS, 2026)
47
48| Channel | Avg CPC | Avg CPL | Avg CTR | Conv Rate |
49|---------|---------|---------|---------|-----------|
50| Google Search (branded) | $2-$5 | $15-$40 | 4-8% | 8-15% |
51| Google Search (non-brand) | $5-$15 | $40-$120 | 2-4% | 3-6% |
52| LinkedIn Sponsored | $8-$14 | $75-$200 | 0.4-0.8% | 2-4% |
53| Meta (B2B lookalike) | $1-$4 | $30-$80 | 0.8-1.5% | 3-5% |
54| Programmatic Display | $0.50-$2 | $50-$150 | 0.1-0.3% | 1-2% |
55| YouTube Pre-roll | $0.03-$0.08/view | $80-$200 | 0.5-1% | 1-3% |
56| TikTok (B2B emerging) | $1-$3 | $40-$100 | 1-2% | 2-4% |
57
58### Reporting Template (Weekly)
59```
60WEEKLY AD OPS REPORT — Week of [DATE]
61
62TOTAL SPEND: $[X] ([+/-]% vs budget)
63TOTAL LEADS: [X] (Blended CPL: $[X])
64TOTAL PIPELINE: $[X] (ROAS: [X]x)
65
66BY CHANNEL:
67[Channel] — $[spend] | [leads] leads | $[CPL] CPL | [ROAS]x ROAS
68[repeat per channel]
69
70TOP PERFORMERS:
71- [Campaign] — [metric] ([why it works])
72
73UNDERPERFORMERS (action required):
74- [Campaign] — [metric] → [recommended action]
75
76NEXT WEEK PLAN:
77- [Action 1]
78- [Action 2]
79```
80
81### 7 Ad Ops Mistakes That Burn Budget
82
831. **Running identical audiences across channels** — Cross-platform audience collision inflates your own CPMs. Segment by funnel stage per channel.
842. **Ignoring frequency caps** — Showing the same ad 15+ times doesn't build brand, it builds resentment. Cap at 3-5/week for prospecting.
853. **Optimizing for clicks instead of pipeline** — CTR is vanity. Optimize for cost-per-qualified-lead or cost-per-opportunity.
864. **No creative testing cadence** — Launching 1 ad and "seeing how it goes" is not a strategy. Run 3-5 variants, kill losers weekly.
875. **Budget allocation by gut** — "LinkedIn feels right" isn't data. Allocate by CPA-to-deal-value ratio per channel.
886. **Ignoring attribution windows** — LinkedIn's 90-day influence window vs Google's 30-day click. Comparing raw ROAS across channels is misleading.
897. **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.
90
91### Industry Ad Strategy Quick-Reference
92
93| Industry | Top 2 Channels | Key Metric | Budget Sweet Spot |
94|----------|---------------|------------|-------------------|
95| Fintech | Google Search + LinkedIn | Cost per qualified demo | $15K-$40K/mo |
96| Healthcare | Google Search + Programmatic | Cost per HCP engagement | $10K-$30K/mo |
97| Legal | Google Search + YouTube | Cost per consultation | $8K-$25K/mo |
98| Construction | Google Search + Meta | Cost per RFQ | $5K-$15K/mo |
99| Ecommerce | Meta + Google Shopping | ROAS (target 4x+) | $10K-$50K/mo |
100| SaaS | LinkedIn + Google Search | Cost per trial signup | $10K-$35K/mo |
101| Real Estate | Meta + Google Display | Cost per showing/inquiry | $5K-$20K/mo |
102| Recruitment | LinkedIn + Indeed/programmatic | Cost per application | $8K-$25K/mo |
103| Manufacturing | Google Search + LinkedIn | Cost per RFQ | $5K-$15K/mo |
104| Professional Services | LinkedIn + Google Search | Cost per consultation | $8K-$30K/mo |
105
106---
107
108## Get Industry-Specific Ad Strategy
109
110These frameworks give you the structure. For deep industry context — compliance rules, audience segments, messaging angles, competitive positioning — grab the full context packs:
111
112**[AfrexAI Context Packs](https://afrexai-cto.github.io/context-packs/)** — $47 each | Pick 3 for $97 | All 10 for $197
113
11410 industries. Real operator knowledge, not recycled blog posts.
115
116**Free tools:**
117- [AI Revenue Leak Calculator](https://afrexai-cto.github.io/ai-revenue-calculator/) — Find where you're losing money
118- [Agent Setup Wizard](https://afrexai-cto.github.io/agent-setup/) — Configure your first AI agent in 5 minutes