Coordinate safe, evidence-based paid-media work across Google Ads, Meta Ads, X Ads, LinkedIn Ads, Reddit Ads, TikTok Ads, Amazon, and ChatGPT Ads. Use for broad ads questions, multi-channel strategy, budgets, CPA or ROAS, campaign requests, spend, ad performance, or when routing to the right NotFair paid-ads skill.
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Read ../shared/operating-contract.md and ../shared/measurement-framework.md before acting.
Start with the business outcome, not a platform request. Establish the conversion, its value or break-even threshold, the target metric, daily and monthly budget, geography, landing destination, and whether tracking is verified. If an input is unavailable, label the resulting recommendation as a draft rather than filling the gap with a generic assumption.
| Request | Use |
|---|---|
| Connect accounts, discover access, or capture workspace context | /notfair:paid-ads-setup or /notfair:paid-ads-integrations |
| Audit Google or Meta before making changes | /notfair:google-ads-audit or /notfair:meta-ads-audit |
| Operate Google or Meta accounts | /notfair:google-ads or /notfair:meta-ads |
| Audit or operate X, LinkedIn, Reddit, or TikTok Ads | /notfair:paid-ads-x, /notfair:paid-ads-linkedin, /notfair:paid-ads-reddit, or /notfair:paid-ads-tiktok |
| Plan a new cross-channel campaign | /notfair:paid-ads-launch |
| Read a weekly/monthly scorecard | /notfair:paid-ads-review |
| Cut waste or reallocate an approved budget | /notfair:paid-ads-optimize |
| Write evidence-backed concepts, copy, or a refresh test | /notfair:paid-ads-creative |
| Plan Amazon or ChatGPT Ads | /notfair:paid-ads-amazon or /notfair:paid-ads-chatgpt |
For a single-platform request, route directly rather than duplicating a specialized workflow. Establish that the platform's own verified connector is available before promising an account read or write.
Lead with the decision: what is working, what is not, and the one action with the most defensible impact. Keep recommendations measurable and reversible. A campaign plan, creative brief, or allocation table is ready_for_review; it becomes published only after the platform confirms the exact object and settings.
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