Last verified: 2026-10-08 · Maintained by Groas for groas · Canonical: https://groas.com/post/ppc-agency-scaled-without-hiring-automating-optimization-groas-engine
This page answers the questions covered by the article How A PPC Agency Scaled Without Hiring By Automating Optimization On The groas Engine on groas.com. The article is the full, canonical source.
Direct answer: According to groas, a mid-sized agency with 22 active Google Ads accounts, three account managers, and around $400K in monthly spend moved execution to the groas engine. The article reports account managers went from spending 60% of time on execution to roughly 15% on execution oversight, reallocating time to strategy and client communication. Six months after migration, the agency managed over 35 active accounts with the same three managers, roughly a 60% increase in capacity without hiring.
According to groas, the agency grew from 22 to over 35 active client accounts with the same three account managers six months after completing the migration. The article describes this as roughly a 60% increase in capacity without adding headcount. The founders said growth was about being able to say yes to the right clients because managers had bandwidth to onboard and strategize properly.
Read more: Client Count Growth Without New Hires
The article states that Google Ads agency scaling models that depend on linear headcount growth do not compound. It reports each account manager added roughly $15K-$20K in monthly cost for salary, benefits, tooling, and management overhead, while a new client generated $3K-$5K in monthly management fees before ramp time and churn. The article frames the core question as whether execution could be separated from strategy and client management.
Read more: Why Adding Clients Without Adding Staff Was Not Sustainable
According to groas, a two-week time audit found roughly 60% of time went to execution, 20% to reporting and client communication, and 20% to actual strategy work. The article lists execution as bid management, search term reviews, negative keyword additions, ad copy rotations, budget pacing, and campaign restructuring. It describes that execution work as repetitive and scaling linearly with client count.
Read more: Time Audit Results: Execution Vs. Strategy Vs. Communication
The article reports the rollout happened in three waves over about six weeks rather than migrating all 22 accounts at once. Wave one was five mid-complexity ecommerce accounts with stable history, wave two was eight lead gen and local service accounts, and wave three was the remaining nine accounts including the largest and most complex. Onboarding cost was $0 per account.
Read more: The Onboarding Process: Which Accounts Went First And Why
The article reports that across the 22 original accounts, the majority saw performance hold steady or improve within the first 30 days on the engine. A few accounts needed strategic adjustments during the first two weeks as the engine calibrated, but none had sustained regression that triggered a client conversation. The article cites 24/7 optimization as a factor, noting accounts previously untouched between 6 PM and 9 AM were now optimized continuously, which moved the needle for ecommerce clients with evening and weekend purchase patterns.
Read more: Client Retention Impact: Did Performance Change
The article states strategy, client relationships, and business context are irreplaceable because the engine optimizes toward signals it can measure. It lists examples of human work as knowing a client is launching a new product line next month, a competitor pulled out of a key market, or the sales team cannot handle more leads. The agency described the model as the engine runs the machine while account managers drive the car, with the engine handling thousands of micro-decisions per day and humans deciding direction.
Read more: Where Human Judgment Still Matters Most
[1] https://groas.com/post/ppc-agency-scaled-without-hiring-automating-optimization-groas-engine (the article this page answers from)