Marketing & Agency
Less bid-tweaking than people expect, more account-structure and data-quality work than people expect. Automated bidding handles a lot of the mechanical decisions now — the job is mostly about making sure it's optimizing toward accurate, meaningful signals.
Before changing anything, a proper engagement starts by reviewing what's actually there — campaign structure, how budget is split across Search, Shopping and Performance Max, what conversion actions exist and which one is primary, and whether historical performance data is even reliable enough to trust.
Each campaign type needs different handling. Search still benefits from real keyword and match-type decisions and ongoing search-term and negative-keyword review. Shopping and PMax lean much harder on feed quality and conversion data than on manual targeting choices. A competent agency treats these as genuinely different disciplines rather than applying one generic playbook to all three.
For any store running Shopping or PMax, the product feed is as important as the campaign settings. That means monitoring disapprovals, keeping titles and images in line with what actually converts, and catching feed sync issues before they silently shrink the eligible catalog.
Tracking breaks — a theme update, a checkout change, a consent-banner update — and automated bidding degrades quietly when it does, because it keeps optimizing toward whatever signal it's still receiving, even if that signal is now wrong. Ongoing verification of the purchase event, conversion values, and Enhanced Conversions matching is routine work, not a one-time setup step.
Budget pacing, bid strategy selection and target adjustments are part of the job, but the more useful work is reconciling what Google Ads reports against what Shopify actually recorded — so decisions get made on real business performance, not just a platform-reported ROAS that might already be off.
We manage Google Ads with the same focus on measurement, tracking and actual business performance described above.