Managing Google Ads budgets that run into seven figures can feel like a constant stress test. Once monthly spend crosses the million-dollar mark, every decision matters, and even small inefficiencies can turn into serious revenue loss. If large accounts sit on your desk, the pressure is familiar. That is why many teams turn to a paid ads agency for discipline, control, and clearer direction when budgets move fast and mistakes get expensive.
Portfolio bidding is one lever worth paying attention to. Rather than letting automation spend freely, this setup lets you combine a target cost per acquisition with a firm cap on cost per click. Why does that matter to you? In competitive auctions or conquesting campaigns, single clicks can reach prices that make no business sense. A paid ads agency working at scale uses this structure to keep automation working for you, not against you.
Max control for paid ads agency accounts
Performance Max probably sits in your account already. The scale looks great on paper, but without guardrails, spend can drift toward mobile games, parked domains, or low-quality placements driven by bots. Excluding those placements and optimizing toward revenue or sales-qualified leads helps protect return on ad spend. This is where a paid ads agency earns its keep by cleaning up what automation misses.
Brand traffic is another area where you have real choices. Google now allows brand exclusions across Search and Performance Max, giving you the option to stop paying for clicks that may have come in anyway. Should you switch brand ads off? The only honest answer comes from testing. Many teams lean on a paid ads agency to measure whether brand spend protects demand or just inflates numbers.
Post-promotion bidding and smarter spending
Timing also works against you if it is ignored. When promotions end, automated bidding does not adjust on its own. Manual controls or seasonal adjustments help you avoid inflated bids after conversion rates settle.
Over time, teams focused on sustainable growth lean heavily on target return on ad spend, provided revenue data feeds back into Google Ads.
Combined with consistent testing across match types and regions, this approach helps large advertisers separate real growth from noise, which is the difference between spending big and spending smart.
