Done-with-you Google Ads management is a model where an in-house team retains strategic control of their Google Ads account while a dedicated engine and senior strategist handle execution, bid optimization, and structural changes. For SaaS companies running mid-to-large budgets, this model solves the central tension of agency management: you know your product and pipeline better than anyone, but your team does not have the execution bandwidth to act on that knowledge at the speed Google Ads demands. This article follows a mid-market SaaS company that made exactly that transition, moving from a traditional agency to the groas done-with-you model, and covers the diagnosis, the structural changes, and the 90-day performance shift that followed. The short version: pipeline volume increased meaningfully, cost per qualified demo dropped, and the in-house team spent less time inside the account, not more.
The Setup: A Growing SaaS Brand With A Stalled Google Ads Channel
Business Profile And Budget Context
The company fits a profile that will be familiar to many SaaS marketing leaders. B2B product, annual contract values in the mid-five-figure range, sales cycle averaging 45 to 60 days from first touch to closed-won. Google Ads was their largest paid acquisition channel, running at roughly $80K per month across Search, Performance Max, and YouTube. They had an in-house marketing team of four, including one performance marketer who spent about half their week inside the Google Ads account. The other half went to the agency that managed day-to-day execution.
What The Account Looked Like Before: Metrics And Structure
On the surface, the account was not a disaster. Cost per lead hovered around $280, demo request volume was steady, and the agency delivered weekly reports showing click-through rates, quality scores, and impression share. The account had roughly 40 active campaigns across branded, non-branded, competitor, and PMax segments. Budget allocation was relatively static, adjusted monthly in bulk rather than dynamically.
The problem was not that things were broken. It was that nothing was improving. Pipeline from Google Ads had been flat for three consecutive quarters while the company’s organic and outbound channels were growing. The CEO’s question was straightforward: why is our biggest paid channel the only one not scaling?
Why Standard Agency Management Was No Longer Enough
The agency was competent. They were not making obvious errors, and the account was not bleeding money. But the relationship had settled into a maintenance pattern. Weekly calls covered surface metrics. Recommendations came slowly. And when the in-house team pushed for structural changes, like rebuilding campaign segmentation around product lines or overhauling the conversion action hierarchy, the agency either pushed back or took weeks to implement.
This is a common ceiling for in-house teams working with traditional agencies. The agency is capped at whatever one person can physically get through in a week, and they are spreading that capacity across a dozen or more accounts. Your account gets managed, but it does not get pushed.
The Problem: Optimization Without Execution Authority
What The Agency Was And Was Not Doing On A Weekly Basis
When the in-house performance marketer audited what the agency actually touched each week, the list was short: bid adjustments on a handful of campaigns, pausing underperforming ad variations, and minor negative keyword additions. That was the optimization layer. Structural work, like rebuilding campaign architecture, fixing conversion tracking gaps, or testing entirely new audience strategies, happened quarterly at best.
The agency billed the same rate regardless. There was no mechanism tying their effort to output, and no engine running underneath to multiply whatever hours they did put in.
Where The Account Was Leaving Performance On The Table
The in-house marketer had a growing list of hypotheses: PMax was cannibalizing branded search, the conversion action setup was feeding Google a blended signal that mixed demo requests with content downloads, and the bidding strategy was optimizing for a 7-day conversion window when the real sales cycle was eight times that. But they did not have the bandwidth or the tooling to validate and act on those hypotheses at speed.
This is the gap that a done-with-you Google Ads model is specifically designed to fill. The in-house team has the strategic insight. What they lack is execution velocity and an engine that can process signals, adjust bids, and reallocate budget around the clock.
The Decision To Move To A Done-With-You Model
The team evaluated three options: hire a second performance marketer, switch to a higher-tier agency, or move to a DWY model with groas. Hiring meant a 60 to 90 day ramp with no guarantee the new person would be better than the agency. A new agency meant another onboarding cycle, another relationship to manage, and likely the same structural ceiling.
The groas DWY model offered something different. The proprietary engine, trained on over $500 billion in profitable ad spend, would handle bid optimization, budget allocation, and signal processing 24/7. A dedicated senior strategist would handle structural changes and escalations. And the in-house team would stay in control of strategy, offers, and messaging direction.
No onboarding fee. Month-to-month. No long-term contract. The in-house marketer could stay in the driver’s seat while getting execution capacity that no single agency media buyer could match.
The Diagnosis: What The groas Engine Found In The First 30 Days
The first phase of any DWY engagement is diagnosis. The engine ingests the full account, the strategist reviews the structure, and both produce a prioritized list of issues. In this case, four problems surfaced that the previous agency had either missed or deprioritized.
Conversion Signal Quality Issues Suppressing Bidding Performance
The account was sending Google a blended conversion signal. Demo requests, whitepaper downloads, and newsletter signups all fed into the same primary conversion action with different values. Google’s bidding algorithms were optimizing for the cheapest conversions, which meant more content downloads and fewer demos. The engine flagged this immediately because the signal quality pattern is one of the most common structural problems it detects across accounts.
The fix: a rebuilt conversion hierarchy with demo requests as the sole primary conversion action, content downloads moved to secondary signals, and a value-based bidding structure aligned to pipeline revenue rather than lead volume.
Campaign Structure Creating Internal Auction Competition
Eighteen of the 40 campaigns were competing against each other in the same auctions. Non-branded campaigns overlapped with PMax’s search inventory. Competitor campaigns were bidding on terms that the branded campaigns should have owned. The result was inflated CPCs and fragmented data that made it impossible for Google’s algorithms to learn efficiently.
This kind of campaign structure problem is invisible in standard weekly reports because each campaign looks fine in isolation. You only see it when you analyze auction overlap and impression share cannibalization at the query level.
Bidding Strategy Misalignment With Actual Sales Cycle Length
The account was using Target CPA with a 7-day conversion window. For a SaaS product with a 45-to-60-day sales cycle, this meant Google was optimizing based on less than 15% of the eventual conversions. The bidding algorithm was structurally undertrained because it could not see most of its own results.
The strategist recommended switching to a value-based bidding model with an extended conversion window and offline conversion imports from the CRM, so Google could learn from the full pipeline, not just the first-week signal.
Asset Quality Gaps Limiting PMax And Search Coverage
Performance Max campaigns were running with minimal creative assets. Only two headline variations, one description set, and no video. This constrained the system’s ability to serve across inventory types and limited the data it could use to find high-intent audiences. Similarly, RSA ad groups in Search campaigns had never been properly tested, running on default combinations rather than strategist-curated pinning and variant strategies.
The Execution: What Changed And Who Controlled What
This is where the DWY model shows its shape. The division of labor was clear from week one.
What The In-House Team Owned: Strategy, Offers, And Messaging Direction
The in-house marketer remained the authority on positioning, offer construction, and audience prioritization. They decided which product lines to push, what landing page messaging to test, and how to align Google Ads with the broader demand gen calendar. They attended the biweekly strategy call with the groas strategist and reviewed the weekly report on what had been done.
Critically, they stopped spending time on bid management, budget reallocation, and negative keyword mining. That time went back to higher-leverage work.
What The Engine Owned: Bid Optimization, Budget Allocation, Signal Processing
The groas engine ran continuously. It processed conversion signals, adjusted bids across campaigns, shifted budget toward high-performing segments in real time, and flagged anomalies. This is the execution layer that no human team, regardless of skill, can replicate at speed. The engine does not sleep, does not context-switch, and does not deprioritize your account because another client is on fire.
What The Dedicated Strategist Handled: Structural Changes And Escalations
The groas strategist rebuilt the campaign architecture in the first two weeks, consolidating overlapping campaigns, restructuring conversion tracking, and implementing the new bidding model. They handled the PMax asset expansion, set up offline conversion imports with the CRM, and managed the transition from the old structure to the new one without a performance dip during the learning period.
When issues came up, like a sudden spike in low-intent traffic from a new PMax audience segment, the strategist escalated directly to the in-house team with a recommendation, not a question. The in-house team approved or redirected. This is what “done with you” means in practice: the strategist brings the solution, the in-house team makes the call.
The Results: 90-Day Performance Shift
Cost Per Lead Movement And Pipeline Quality
Over 90 days, cost per qualified demo dropped from approximately $280 to approximately $190. More importantly, the definition of “lead” tightened. The account was no longer counting content downloads as conversions, so the volume number went down, but every lead entering the pipeline was a demo request from a qualified buyer. Sales accepted a higher percentage of leads, which compressed the top of the funnel without compressing pipeline value.
Impression Share Recovery In Core Converting Segments
Branded impression share recovered to above 95%, up from roughly 78% where PMax had been cannibalizing it. Non-branded impression share in the three highest-converting segments increased as budget was reallocated away from overlapping campaigns. The account was showing up more often in the auctions that actually mattered.
What Happened To Demo Request Volume And Close Rate
Demo request volume from Google Ads grew meaningfully across the 90-day period, even as overall lead volume (including low-quality content downloads) dropped. The sales team reported shorter time-to-close on Google Ads sourced deals, which they attributed to better audience targeting and landing page alignment. The CEO stopped asking why Google Ads was not scaling.
The Lesson: What Done-With-You Google Ads Actually Means At Scale
Where In-House Teams Add The Most Value (And Where They Should Let Go)
In-house teams are irreplaceable on strategy, positioning, and business context. No engine and no external strategist will ever understand your product, your competitive landscape, and your customers the way your team does. That knowledge should drive offer construction, messaging, and audience prioritization.
Where in-house teams should let go is execution: bid management, budget allocation, negative keyword mining, conversion signal optimization, and campaign structure management. These are high-frequency, data-intensive tasks where an engine trained on hundreds of billions in ad spend will outperform any human, every time.
Why This Model Scales Better Than Agency Or Pure In-House
A traditional agency gives you a person. That person has a finite number of hours, a finite number of accounts they can manage well, and a finite ability to process signals at speed. An in-house team gives you control but not leverage; one person cannot run an engine-level optimization loop.
The groas DWY model gives you both. The engine runs 24/7, processing signals and executing at a speed and scale no human can match. The senior strategist handles structural decisions and works alongside your team. And your team stays in control of the direction. It is the combination of all three, engine plus strategist plus in-house authority, that produces results that none of them can produce alone.
There is no onboarding fee, no long-term contract, and groas earns the next month every month by performing. If it stops working, you cancel. That alignment changes how the relationship operates.
How To Evaluate If DWY Is The Right Model For Your Growth Stage
DWY fits if you have someone in-house who knows Google Ads and wants to stay involved. You are already running campaigns, your account is in good standing, and your team will act on the strategist’s recommendations. If you would rather not be involved in execution at all, DFY may be the better fit, and groas can help you figure out the right plan on a call.
For this SaaS company, DWY was the right call because their in-house marketer was skilled, motivated, and added real strategic value. What they needed was not replacement. It was leverage.
If your Google Ads channel has plateaued and your current agency or in-house setup cannot break through the ceiling, the pattern described here is not unusual. It is structural. The diagnosis is the same across hundreds of accounts the groas engine has analyzed: signal quality, campaign overlap, bidding misalignment, and execution bottlenecks that no amount of human effort can solve at the speed Google Ads demands. The engine plus a senior strategist alongside your team changes that math. Get started with groas and see what the engine finds in your account inside the first 30 days.
