Solutions

Hundreds of accounts, and still nothing slips

At high account counts the failure mode is never one big mistake. It is fifty small ones that nobody had time to look at.

What breaks today

With hundreds of accounts, checking each one manually is not a workflow — so most of them are never checked.
Nobody can say which accounts are closest to a ban until one of them goes.
Accounts go limited in batches, and the first signal is a drop in the daily total.
Revenue lives in a tracker, spend lives in Google Ads, and the real ROI is a guess until someone does the export.

Every account is monitored continuously; you look at the exceptions the system raises instead of scanning a list.
Every account carries a risk score from 0 to 100, computed from what the account itself reports — approval share, account age, policy topics — and shown in the Health column, where you can open it and see which factor moved. It is a reading of what happened, not a prediction: approval share falling is the signal that runs ahead of a suspension, and it is also a rule you can arm per account.
Status, approvals and limitations are tracked per account, with a Telegram message on the next check after they change.
Revenue postbacks land next to spend, so ROI per account is a column rather than an export.

Affiliate and arbitrage teams running Google Ads at high account counts, where approvals and account status change daily.