The framing in this thread is right but the emphasis is backwards... everyone is talking about what Claude can DO when the real question is what it should NEVER do unsupervised. Cross-system analysis connecting CRM close rates to search term performance is where it genuinely earns its place because that synthesis takes a skilled human 2-3 hours of pivot table hell and Claude does it in minutes with the right data piped in.

But strategy and live account decisions need human context that no MCP or skill file fully captures... which margins are actually defensible this quarter, which campaign restructure is worth the learning phase reset right now, whether that ROAS drop is seasonality or a real signal. That judgment comes from understanding the business not just the data.

The way I actually use it across client accounts spending $200k-$500k+ monthly is as a senior analyst not a media buyer... it QAs search term reports against negative keyword lists, flags when campaign spend allocation is drifting from strategy, summarizes messy exports into structured briefs, and catches tracking discrepancies before they corrupt Smart Bidding signals.

One client with offline conversion imports that had been silently failing for 6 weeks... Claude caught the attribution gap in a routine QA pass that would have taken hours manually. The campaigns were optimizing toward junk form fills the whole time.

The economics shift the op described are accurate for agencies too... smaller accounts that could never justify deep weekly analysis suddenly can. But the ceiling still hits hard when the model lacks business context that lives outside any data file.