groas Blog

A step-by-step guide to adding negative keywords to Performance Max campaigns without starving the algorithm of learning signals. Covers how to audit PMax search term data, build a tiered negative keyword architecture, use audience signals as a smarter alternative to hard blocks, monitor impression quality after changes, and maintain a recurring review cadence that scales across accounts.

Eight specific execution mistakes cause Google Ads agencies to lose clients, from vanity metric reporting to monthly optimization cadences to the inability to prove incrementality. This guide breaks down each mistake, explains why it drives churn, and shows agency owners how to fix the structural gaps before clients start shopping for a replacement.

Most Google Ads audits are a waste of time. They capture a static snapshot of a constantly shifting system, pad recommendations for impressiveness over business impact, and create a gap between finding problems and fixing them. This article breaks down exactly why one-time audits and automated graders fail, what actually predicts Google Ads performance, and why continuous execution-led monitoring delivers the results audits only promise.

A multi-location home services business was running Google Ads across 8 markets with one overworked in-house manager. The account had inconsistent bid strategies, cross-location keyword cannibalization, no per-market conversion data, and reporting that could not prove which locations were profitable. Instead of hiring a second manager or handing the account to an agency, they paired their existing team with the groas Done With You model: a proprietary engine handling 24/7 execution plus a senior strategist providing regular advisory. Within six months, cost per lead dropped across all active markets, two underperforming locations were identified and restructured, and the in-house manager shifted from manual execution to strategic work. This case study walks through the structural problems, the fixes, and why engine plus strategist beats adding headcount.

A step-by-step guide to preventing Performance Max from overspending, covering budget isolation, negative keyword controls, audience signal tightening, conversion action priorities, and the weekly monitoring routine that keeps PMax spend aligned with business goals.

A B2B SaaS in-house team spending $40K per month on Google Ads was stuck in a cycle of recurring Smart Bidding learning phase resets and declining pipeline quality. This case study walks through the diagnosis, why they chose a done-with-you model with groas over a full agency hand-off, the structural fixes applied in the first 60 days, and what results looked like after 90 days and six months.

Eight diagnostic signs that a business has outgrown self-managed or agency-managed Google Ads and is ready for a fully managed service, plus a clear breakdown of what fully managed Google Ads should actually include and how to evaluate providers before committing.

A five-step framework for calculating the true fully-loaded cost of your Google Ads agency relationship. Covers retainer structures, percentage-of-spend conflicts, hidden costs like internal coordination and slow optimization, and how to build a cost-per-conversion baseline to decide whether to stay, switch, or upgrade your management model.

A diagnostic framework covering 12 specific, observable signs that your Google Ads agency relationship has hit a structural ceiling. Covers vanity metric reporting, flat CPA, staff turnover, missing negative keyword updates, untouched landing pages, and more, with clear guidance on what to do when you recognize the pattern.