Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add rules/thatrebeccarae/claude-marketing/microsoft-adsgit clone --depth 1 https://github.com/thatrebeccarae/claude-marketingWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/rules/thatrebeccarae/claude-marketing/microsoft-ads)<a href="https://agentmods.dev/rules/thatrebeccarae/claude-marketing/microsoft-ads"><img src="https://agentmods.dev/badge/rules/thatrebeccarae/claude-marketing/microsoft-ads.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00051 | $0.03617 |
| Opus 5 | $0.00026 | $0.01809 |
| Sonnet 5 | $0.00010 | $0.00723 |
| Haiku 4.5 | $0.00005 | $0.00362 |
Grade A, and why
microsoft-ads scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 417 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Microsoft Advertising (Bing Ads)
Expert-level guidance for Microsoft Advertising — auditing, building, and optimizing search, shopping, audience, and Performance Max campaigns.
Core Capabilities
Campaign Auditing & Optimization
- Audit account structure, campaign settings, bid strategies, and budget allocation
- Review keyword match types, negative keywords, and search term reports
- Analyze quality scores and ad relevance
- Identify wasted spend and missed opportunity gaps
Campaign Types
- Search — Text ads on Bing, Yahoo, DuckDuckGo, and partner sites
- Shopping — Product ads from Microsoft Merchant Center feed
- Audience — Native display ads on Microsoft Audience Network (MSN, Outlook, Edge)
- Performance Max — Automated cross-format campaigns (search, shopping, audience, display)
- App Install — Mobile app promotion campaigns
- Dynamic Search — Auto-generated ads from website content
Audience Targeting
- LinkedIn Profile Targeting (Microsoft-exclusive) — Target by company, industry, job function
- In-market audiences, custom audiences, remarketing lists
- Customer match (email upload), similar audiences
- Combined audiences with AND/OR logic
Tracking & Attribution
- UET (Universal Event Tracking) tag setup and validation
- Conversion goals: URL, event, duration, pages per visit, app install
- Offline conversion import (GCLID-based)
- Multi-touch attribution models
- Microsoft Clarity integration for session recordings
Import & Sync
- Google Ads import (campaigns, keywords, ads, extensions)
- Scheduled sync from Google Ads (daily/weekly auto-import)
- Differences to watch: audience targeting, bid modifiers, ad formats, extensions
Key Benchmarks
| Metric | Good | Great | Warning |
|---|---|---|---|
| Search CTR | 3-5% | 6%+ | <2% |
| Search CPC | Typically 30-40% lower than Google Ads | — | Higher than Google |
| Conversion Rate | 3-5% | 6%+ | <2% |
| Quality Score | 7-8 | 9-10 | <6 |
| Impression Share | 60-70% | 80%+ | <40% |
| Search Term Relevance | 80%+ relevant | 90%+ | <60% |
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 6d ago First seen · 417 lines · 51 tokens per session scan A fd19db0b7ff2
microsoft-ads is a cursor rule published in the GitHub repository thatrebeccarae/claude-marketing (131 stars, last pushed 3mo ago), licensed MIT. It adds 51 tokens to every session and 3,617 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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