A B2B SaaS company with a capable in-house marketing team improved pipeline contribution from Google Ads by restructuring campaigns, fixing attribution gaps, and adding a strategist alongside their existing team, all without handing off control to an agency. Done with you Google Ads management is a model where your in-house team stays in the driver's seat while a proprietary engine handles execution and a senior strategist provides direction. For B2B SaaS companies running Google Ads, this approach solves the most common scaling bottleneck: your team knows the product and the buyer, but the account has structural problems that tactical tweaks cannot fix.
This is the story of how that played out for a B2B software company spending meaningful budget on Google Ads, stuck at a plateau they could not diagnose, and unwilling to hand their account to a full-service agency. The result after 90 days was a measurably stronger pipeline, cleaner attribution, and an in-house team that kept full control of every decision.
The Setup: A High-Growth B2B Software Company With A Stalled Google Ads Account
Monthly Ad Spend, Campaign Structure, And Conversion Tracking At The Start
The company was a mid-market B2B SaaS business selling to operations and IT teams at companies with 200 to 2,000 employees. They had been running Google Ads in-house for over two years, spending in the range of $40K to $60K per month across Search, Display, and a small Performance Max experiment. The account had around 30 active campaigns, a mix of branded search, non-branded search across several product categories, and remarketing.
Their conversion tracking was set up in Google Tag Manager, firing on demo request submissions, free trial signups, and a "contact sales" form. On the surface, the data looked structured. Leads were flowing. CPA was within a range the CFO had signed off on.
What Was Working (Narrowly) And What Was Silently Bleeding Budget
Branded search was performing well, which is expected. When someone searches your product name, the conversion rate is high and the CPA is low. This campaign was pulling the account-level averages in a favorable direction, masking what was happening everywhere else.
Non-branded campaigns targeting category-level and problem-aware keywords were generating clicks but producing leads that rarely turned into pipeline. The team could see demo requests coming in from these campaigns, but when they checked the CRM, the demos from non-branded search had a pipeline conversion rate roughly half of what branded search produced. That gap had been growing for two quarters, and nobody could pinpoint why.
Display and remarketing were on, but performance was hard to isolate because the attribution setup was not distinguishing between someone who clicked a remarketing ad and someone who was already in an active sales conversation.
Why The In-House Team Decided To Add A Strategist Rather Than Do It Alone
The in-house team had two people touching Google Ads: a performance marketer who managed the day-to-day and a demand gen director who set budgets and reviewed pipeline reports. Both were competent. Neither had time to do a full structural audit of the account while also shipping campaigns for product launches and running paid social.
They evaluated three options. Hiring a third person dedicated to Google Ads (expensive, slow, and the talent market for experienced B2B SaaS paid search marketers is thin). Hiring a full-service agency (they had done this before, and the experience was a six-month contract, junior account managers, and a loss of visibility into what was actually happening inside the account). Or finding a model that gave them better tooling and senior-level advisory without requiring them to hand off control.
They chose the DWY model from groas: the proprietary engine running underneath to handle bid optimization and pacing, a senior strategist working alongside their team, and the in-house performance marketer staying in full control of execution decisions.
The Diagnosis: What The Audit Revealed
Conversion Tracking Gaps: Events Firing But Not Attributing To Pipeline
The first thing the groas strategist flagged was that the conversion events firing in Google Ads were not aligned with what actually mattered downstream. Demo request submissions were being counted as conversions, but the tag was also firing on partial form fills and on a thank-you page that could be reached by direct URL. This meant the conversion volume Google's algorithms were optimizing against was inflated by roughly 20 to 30 percent with low-quality or phantom signals.
More critically, there was no offline conversion import set up. The team was tracking leads in HubSpot but not feeding pipeline stage data back into Google Ads. This meant Google's Smart Bidding had no visibility into which leads actually became opportunities, so it was optimizing for form fills, not revenue.
Bid Strategy Configuration: tCPA Set Without Enough Conversion Volume
The non-branded campaigns were running on Target CPA, but several of them were generating fewer than 15 conversions per month. At that volume, Smart Bidding does not have enough signal to optimize effectively. The algorithm was stuck in a quasi-permanent learning phase, making erratic bid adjustments that swung CPA wildly from week to week.
The team had noticed the volatility but responded by tightening the tCPA target, which made the problem worse. Lower targets with insufficient conversion volume causes the algorithm to restrict impressions aggressively, which further reduces conversion volume, which further destabilizes the model.
Campaign Structure: Overlap Between Branded And Non-Branded Keywords
The account had branded keywords running in both a dedicated branded campaign and, unintentionally, in several non-branded campaigns that used broad match keywords. The result was that branded traffic was leaking into non-branded campaigns, inflating their performance metrics and making it impossible to evaluate non-branded efficiency in isolation.
This is one of the most common structural mistakes in B2B Google Ads accounts, and it is invisible if you only look at campaign-level reporting without checking search term reports.
Landing Page And Offer Mismatch For Bottom-Funnel Queries
Non-branded campaigns targeting high-intent queries like "operations management software demo" were sending traffic to a general product page rather than a dedicated landing page with a clear demo CTA. The product page had navigation, multiple CTAs, case studies, pricing links, and feature comparisons. For someone ready to book a demo, that is friction, not information.
The strategist identified that the landing page mismatch was likely a significant contributor to the low pipeline conversion rate from non-branded search. The lead came in motivated, hit a page that diluted the intent, and either bounced or converted with weaker intent signals.
The DWY Model In Practice: What The Engine Did Vs What The Strategist Did
How The groas Engine Handled Bid Optimization And Pacing
Once the conversion tracking was cleaned up and offline conversion imports were configured, the groas engine took over bid management across all Search campaigns. The engine, trained on over $500 billion in profitable ad spend, handled bid adjustments continuously rather than waiting for weekly manual reviews.
The immediate benefit was pacing stability. Instead of the erratic bid swings that came from Smart Bidding running on insufficient data, the engine managed bid pressure across campaigns with a broader signal set, smoothing spend distribution and reducing the feast-or-famine pattern that had plagued the non-branded campaigns.
The engine also handled budget allocation dynamically, shifting spend toward campaigns and ad groups that were producing signals correlated with downstream pipeline, not just form fills.
How The Strategist Directed Campaign Architecture And Audience Signals
While the engine handled execution, the strategist directed the structural changes. This included rebuilding the campaign architecture to create hard separation between branded and non-branded traffic using negative keyword lists and campaign-level targeting restrictions.
The strategist also recommended and helped implement three dedicated landing pages for the highest-volume non-branded ad groups, each with a single CTA (book a demo), tailored messaging matching the search intent, and no top navigation. The in-house team built the pages. The strategist reviewed them and provided feedback based on patterns from other B2B SaaS accounts.
Every two weeks, the strategist joined a call with the in-house performance marketer and the demand gen director. These were not status updates. They were working sessions where the strategist walked through what the engine was doing, what the data showed about pipeline quality by campaign, and what the next structural move should be.
The First 30 Days: Learning Phase Management And Early Signals
The first 30 days after restructuring were a deliberate learning phase. The groas strategist set expectations clearly: conversion volume would likely dip temporarily as the engine recalibrated on cleaner data, and the team should not panic-adjust targets during this window.
This is where having a strategist alongside the team mattered. Without that guidance, the in-house team's instinct would have been to revert changes when CPA spiked in week two. Instead, they held steady. By week four, the engine had enough clean conversion data to stabilize, and non-branded CPA began trending downward for the first time in two quarters.
The Results: CPL, Pipeline Volume, And Attribution Accuracy After 90 Days
Cost Per Lead Before And After
After 90 days, the blended cost per lead across non-branded Search campaigns was meaningfully lower than the pre-restructuring baseline. The reduction came primarily from eliminating phantom conversions (which had been inflating reported volume while masking true CPA) and from the landing page improvements, which increased conversion rates on high-intent traffic.
Branded CPA stayed roughly flat, which was expected. The improvement was concentrated where it needed to be: non-branded campaigns that were supposed to be generating new pipeline, not just capturing existing demand.
Pipeline Contribution From Google Ads Channel
The more important shift was in pipeline contribution. With offline conversion imports now feeding CRM data back into Google Ads, the team could see, for the first time, which campaigns were actually producing opportunities that moved through the sales process.
Google Ads' contribution to qualified pipeline increased substantially over the 90-day period. The channel went from being viewed internally as "the branded search channel that also wastes money on non-branded" to a legitimate source of new business pipeline. The demand gen director reported that for the first time, they could defend non-branded Google Ads spend to the executive team with CRM data, not Google Ads dashboard metrics.
How The Team Maintained Control Without Doing Everything Manually
The in-house performance marketer remained the person logging into the account, approving campaign changes, and making strategic calls. What changed was the quality of information they were working with and the execution layer underneath.
Instead of spending hours each week manually adjusting bids and reviewing search terms, the performance marketer focused on creative testing, landing page iteration, and working with the sales team to refine the feedback loop between CRM stages and ad targeting. The groas engine handled the continuous optimization work that had previously consumed most of their Google Ads time.
This is the core promise of done with you Google Ads management: your team keeps control, but the execution capacity and strategic depth of your Google Ads operation increases without adding headcount.
What This Means For B2B SaaS Teams Evaluating Their Google Ads Setup
The Three Structural Problems Most B2B Google Ads Accounts Share
This account's problems were not unusual. Most B2B SaaS Google Ads accounts that have been running for a year or more share three structural issues. First, conversion tracking that measures form fills but not pipeline, which means the algorithms optimize for the wrong outcome. Second, campaign architecture that allows branded traffic to contaminate non-branded performance data. Third, landing pages built for browsing rather than converting on high-intent queries.
Each of these problems is fixable, but fixing them requires a combination of technical depth, strategic experience across many accounts, and the discipline to manage a learning phase without reverting prematurely.
When DWY Is The Right Model Vs Fully Managed
The DWY model from groas fits when your team has someone who knows Google Ads and wants to stay involved. You keep the driver's seat. The engine handles execution around the clock. The strategist provides the structural expertise and the pattern recognition that comes from working across hundreds of accounts powered by a proprietary engine trained on $500 billion in ad spend.
If your situation is different, if you do not have someone in-house who knows Google Ads, or if you would rather not be involved in execution at all, the fully managed DFY model from groas is the better fit. In DFY, a dedicated strategist owns your entire account end-to-end, including landing pages and offers. If you are unsure which model is right, apply for DFY and groas figures out the right plan on the call.
The Questions To Ask Before Adding An Engine Plus Strategist To Your Stack
Before you decide, ask three questions. Do we have someone on the team who understands Google Ads well enough to act on strategic recommendations? Are we running Google Ads already, with real spend and real data, not starting from scratch? And are we willing to hold steady through a learning phase when structural changes require the algorithm to recalibrate?
If the answers are yes, DWY is built for exactly your situation. The engine does the heavy lifting 24/7. The strategist brings the structural expertise. Your team stays in control. No long-term contracts, no onboarding fees, cancel anytime. groas earns the next month every month by performing.
The in-house team in this story did not need to hand off control. They needed better execution infrastructure and a strategist who had seen these problems hundreds of times before. That is what DWY delivers. Get started at groas.com.
Frequently Asked Questions
What Is Done With You Google Ads Management For B2B SaaS?
Done with you Google Ads management is a model where your in-house team stays in the driver's seat while a proprietary engine handles bid optimization and pacing around the clock, and a senior strategist provides structural direction. Unlike a full-service agency, you keep full control of your account and every decision. Unlike going it alone, you get execution infrastructure and strategic depth that would be impossible to replicate with a single hire. groas offers this as its DWY product: the engine runs underneath, a strategist works alongside your team on a biweekly cadence, and your performance marketer stays in charge.
How Do I Fix Google Ads Attribution For B2B SaaS Pipeline?
The most common attribution gap in B2B SaaS accounts is that conversion events track form submissions but do not feed CRM pipeline data back into Google Ads. Without offline conversion imports, Smart Bidding optimizes for form fills rather than qualified opportunities. The fix involves configuring offline conversion imports from your CRM (HubSpot, Salesforce, or equivalent) so pipeline stage changes feed back into Google Ads. You also need to audit existing conversion tags to ensure they are not firing on partial fills or accessible thank-you page URLs. This gives the bidding algorithm the signal it needs to optimize toward revenue, not just lead volume.
Why Is My B2B Google Ads Account Stuck In Learning Phase?
Smart Bidding strategies like Target CPA require a minimum volume of conversions, typically 30 or more per month per campaign, to optimize effectively. If your campaigns generate fewer conversions than that threshold, the algorithm cannot build a stable model and cycles through erratic bid adjustments. Tightening the CPA target when volume is low makes this worse by restricting impressions further. The solution involves consolidating campaigns to increase conversion density, cleaning up conversion tracking to remove phantom events, and potentially switching bid strategies until volume supports automated bidding.
Should A B2B SaaS Company Use An Agency Or Manage Google Ads In-House?
Neither option is ideal on its own. Agencies introduce loss of visibility, junior account managers, and long-term contracts. In-house teams have deep product knowledge but often lack the structural expertise and execution bandwidth to scale Google Ads properly. groas DWY bridges this gap: your in-house team keeps control and product context, the proprietary engine trained on over $500 billion in ad spend handles continuous optimization, and a senior strategist provides the pattern recognition that comes from working across hundreds of accounts. No onboarding fees, no long-term contract, and the team stays in the driver's seat.
How Do I Separate Branded And Non-Branded Traffic In Google Ads?
Create a dedicated branded campaign with exact match and phrase match branded keywords. Then add your brand terms as negative keywords at the campaign level across every non-branded campaign. If you use broad match in non-branded campaigns, check search term reports regularly because branded queries will leak through without negative keyword coverage. This separation is essential for evaluating whether your non-branded campaigns are genuinely generating new demand or just capturing people who already know your brand.
What Landing Page Should I Use For High-Intent B2B Google Ads Traffic?
For bottom-funnel queries where the searcher is ready to take action (like "operations management software demo"), use a dedicated landing page with a single CTA, no top navigation, and messaging that matches the search intent. Sending this traffic to a general product page with multiple links, feature comparisons, and pricing sections creates friction and dilutes conversion rates. The landing page should reinforce the value proposition from the ad, remove distractions, and make the next step obvious.
How Long Does It Take To See Results After Restructuring A Google Ads Account?
Expect a 30-day learning phase after making significant structural changes like rebuilding campaign architecture, cleaning up conversion tracking, or changing bid strategies. During this window, CPA may spike temporarily as the algorithm recalibrates on cleaner data. It is critical not to revert changes prematurely. Meaningful, stable improvements in cost per lead and pipeline contribution typically become visible between 60 and 90 days after restructuring, assuming the foundational fixes are sound.
What Is The Difference Between DWY And DFY From groas?
DWY (Done With You) is for teams that have an in-house person who knows Google Ads and wants to stay in control. The groas engine handles execution and a senior strategist works alongside your team. DFY (Done For You) is fully managed: a dedicated strategist owns your entire Google Ads operation end-to-end, including landing pages and offers. If you are unsure which fits, apply for DFY and groas figures out the right plan on the call. Both are month-to-month with zero onboarding fees.
Can I Use Google Ads For B2B SaaS Lead Generation Without A Big Budget?
Yes, but account structure matters more than budget. A $20K per month account with clean conversion tracking, proper campaign separation, and landing pages built for conversion will outperform a $60K per month account with structural problems. The key constraint at lower budgets is conversion volume: you need enough conversions per campaign for Smart Bidding to function. Consolidating campaigns and focusing spend on your highest-intent keywords helps maintain algorithmic stability at lower spend levels.
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