May 28, 2026
5
min read

How A B2B Lead Gen Company Cut CPL By 30% Without Losing Strategic Control


Alexander Perleman
, Head Of Product @ groas
Ex-Goldman Sachs and Stanford Computer Science

alex@groas.ai

LinkedIn
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A B2B lead generation company with 8-figure ARR and 18 months of self-managed Google Ads reached a performance plateau: CPL was climbing, lead quality was declining, and the in-house marketer had exhausted their playbook. Rather than hand off strategic control to an outside agency, they added the groas Done-With-You (DWY) model, pairing a proprietary engine trained on over $500 billion in profitable ad spend with a senior strategist who worked alongside the existing team. Within 90 days, CPL dropped by roughly 30% while lead quality improved. DWY Google Ads management for B2B is the model where your team stays in the driver's seat while an engine and strategist handle the execution layer underneath. This is the story of how that played out, what broke in the original setup, and why staying in control actually works better when you are not doing everything manually.

The Situation: A B2B Lead Gen Company With A Stalled In-House Google Ads Setup

The company sells qualified leads to enterprise buyers across multiple verticals. Google Ads was their primary acquisition channel, responsible for the majority of pipeline. They were spending in the range of $40K to $60K per month across Search and Performance Max campaigns, managed entirely by a single in-house performance marketer who reported directly to the CEO.

For the first year, things worked. The marketer built out campaigns from scratch, iterated on ad copy, ran A/B tests on landing pages, and gradually scaled spend as CPL stayed within target. The account was generating leads profitably, and the CEO trusted the process.

Then things stalled.

The Plateau

Around month 14, CPL started creeping up. Not dramatically, but consistently. Each month was slightly worse than the last. The in-house marketer responded the way most experienced practitioners would: tightening targeting, testing new ad groups, adjusting bids manually, refreshing creative. Some of it worked temporarily. None of it reversed the trend.

By month 18, CPL was roughly 25% higher than it had been at its best, and lead quality (measured by downstream conversion to sales-qualified leads) had dropped. The team was generating more volume but converting less of it. The CEO started asking hard questions about whether Google Ads had simply become too expensive for B2B lead gen in their space.

Why They Had Not Hired An Agency

The CEO had considered agencies. Two proposals came in. Both required 6-month minimum contracts with onboarding fees north of $5K. More importantly, both wanted full control of the account. The in-house marketer had deep context on which verticals converted, which offer angles worked with which buyer segments, and how seasonality affected pipeline. Handing all of that to an account manager at an agency who was juggling 15 other clients felt like a downgrade, not an upgrade.

They wanted better execution. They did not want to lose strategic control of their Google Ads.

What Was Going Wrong: The Problems The In-House Setup Could Not See

When the groas strategist ran the initial account audit during the DWY onboarding, four structural problems surfaced. None of them were things the in-house marketer had done wrong, exactly. They were problems that only become visible with the kind of pattern recognition that comes from seeing thousands of accounts at scale.

Broad Match Without Enough Conversion Data

The account had shifted heavily toward broad match keywords over the prior six months, following Google's own recommendations. The problem: the account did not have enough conversion volume to give Smart Bidding the signal density broad match requires to work well. The algorithm was casting a wide net and catching low-intent traffic, inflating impressions and clicks without improving lead quality. This is a pattern the groas engine identifies quickly because it has trained on the data thresholds where broad match starts outperforming exact match, and this account was well below that threshold.

Smart Bidding Targets Set Too Aggressively

The in-house marketer had set a target CPA that reflected what the business needed, not what the campaign data could support. With limited conversion volume, the bidding algorithm oscillated between underspending (missing impression share) and overcorrecting into low-quality placements. This is one of the most common mistakes in-house teams make when managing Smart Bidding without access to deep benchmark data.

Landing Pages Not Differentiated By Intent Tier

Every campaign pointed to one of two landing pages. High-intent searches ("B2B lead generation service pricing") landed on the same page as mid-funnel searches ("how to generate B2B leads"). The result was a blended conversion rate that masked how badly the mid-funnel page was performing and how much the high-intent page was being diluted by mismatched traffic.

No Systematic Negative Keyword Strategy

The in-house marketer added negatives reactively, reviewing search term reports weekly and blocking irrelevant queries one by one. But there was no proactive, account-wide negative keyword architecture. Wasted spend was leaking through at a rate that was individually small per query but collectively significant.

The Fix: Adding The Engine Plus A Strategist Without Losing Control

This is where the DWY model did something a traditional agency relationship could not. The in-house marketer did not step back. They stayed in the driver's seat. But the groas engine took over the execution-heavy work that a single human cannot physically do well across dozens of campaigns, around the clock.

Week 1: Audit, Strategy Call, And 30-Day Plan

The first strategy call with the groas strategist lasted about an hour. The strategist walked through the audit findings, prioritized the four structural problems, and laid out a 30-day remediation plan. The in-house marketer agreed with the diagnosis but pushed back on one recommendation (pulling back from broad match entirely). They compromised: narrow broad match to the five highest-volume campaigns where conversion data was strongest, revert everything else to phrase and exact.

This is what "done with you" actually means. The strategist brings the pattern recognition and the engine. The in-house team brings the business context and makes the final call.

Weeks 2 Through 4: Engine Takes Over Bid And Budget Optimization

The groas engine began managing bid adjustments and budget allocation across campaigns. Instead of static daily budgets and weekly manual bid reviews, the engine rebalanced spend dynamically based on real-time conversion signals. The in-house marketer stopped logging into the bid interface entirely and redirected that time toward messaging and offer strategy, which is where their expertise actually lived.

The strategist also flagged that the target ROAS and target CPA settings needed restructuring based on actual data volume rather than business targets alone. The engine set bidding floors and ceilings that reflected what the data could actually support.

Bi-Weekly Strategy Calls: Hypothesis, Test, Iterate

Every two weeks, the groas strategist and the in-house marketer got on a call. The format was consistent: review what was tested in the prior two weeks, analyze results, set the next round of hypotheses. In week 4, the strategist proposed splitting landing pages by intent tier. The in-house marketer built three new variants based on the engine's search term clustering data, which grouped queries by purchase intent automatically. This was not something the marketer could have done manually. The engine processed thousands of search terms and segmented them by conversion probability in a way that would have taken days of spreadsheet work.

Landing Page Changes Based On Engine Signal

By week 6, the three intent-segmented landing pages were live. High-intent traffic went to a short, direct page with pricing context and a strong CTA. Mid-funnel traffic went to a longer page with case studies and comparison content. Low-intent, informational traffic was either excluded or sent to a content-style page with a softer conversion point. The in-house marketer designed and wrote every page. The engine provided the segmentation logic and the data on which queries should route where.

The Result: 90-Day Performance Arc

Weeks 1 Through 4: Stabilization

CPL did not drop immediately. In fact, during week 2, it spiked slightly as the engine pulled back from underperforming broad match campaigns and reallocated budget. This is normal. The in-house marketer, having been briefed on this during the first strategy call, did not panic. By week 4, CPL had returned to pre-engagement levels but with noticeably better lead quality downstream.

Weeks 5 Through 8: Inflection

This is when the landing page segmentation and the engine's bid optimization started compounding. CPL dropped steadily, roughly 2% to 4% per week. More importantly, the sales team started reporting that leads from Google Ads were converting to SQLs at a higher rate. The in-house marketer tracked this through their CRM and fed the data back to the groas strategist, who used it to refine the engine's conversion modeling.

Weeks 9 Through 12: The New Baseline

By week 12, CPL was approximately 30% lower than where it had been at the start of the engagement. Lead-to-SQL conversion rate had improved meaningfully. The in-house marketer estimated they were spending about 40% less time on execution tasks (bid management, budget pacing, negative keyword maintenance) and reinvesting that time into creative strategy and offer development.

The in-house marketer kept full control of messaging, landing page design, offer strategy, and campaign structure decisions. What changed was everything underneath: the bid math, the budget allocation, the negative keyword architecture, and the intent segmentation that made every other decision more effective.

What In-House Teams Get Wrong About Staying In Control

The lesson from this engagement is not that in-house teams cannot manage Google Ads. This team clearly could. They built a profitable account from scratch and ran it well for over a year.

The lesson is that staying in control of strategy is not the same as doing everything manually. The in-house marketer's highest-value work was understanding the business, crafting offers, and making strategic calls about which markets to pursue. Their lowest-value work was adjusting bids at 2 PM on a Tuesday and scanning search term reports for irrelevant queries.

The DWY model with groas separates those two layers. The engine handles execution that benefits from scale, speed, and pattern recognition across billions of dollars in ad spend data. The strategist brings a second brain to the strategic layer, someone who has seen the same plateau pattern across hundreds of B2B accounts and knows what fixes it. Your team stays in control. They just stop doing the work that a machine does better.

This is fundamentally different from hiring an agency, where you lose control and pay for someone else's ceiling. It is different from hiring a freelancer, where you get part-time attention and risk them disappearing. And it is different from buying software alone, because software without a strategist who knows your account is just a faster way to make the same mistakes.

When This Model Fits Vs. When Full Handoff Is Better

The DWY model worked here because the in-house marketer was skilled, motivated, and had deep business context that would have been lost in a full handoff. If your team has someone who knows Google Ads and wants to keep running things with better infrastructure underneath, DWY is the right fit.

But this model requires your team to show up. The bi-weekly calls matter. Acting on the strategist's recommendations matters. If the CEO or founder is stretched too thin to be involved, or if there is no one in-house who understands Google Ads at a tactical level, the better path is DFY, where groas owns everything end to end.

Many teams start with DWY and eventually transition to DFY as the founder's attention shifts or as scaling demands more dedicated resources. The groas strategist will flag when that transition makes sense. There is no pressure and no lock-in. Every engagement is month-to-month, with $0 onboarding and the ability to cancel anytime.

What This Means For Your B2B Lead Gen Account

If you are running Google Ads in-house for B2B lead generation and you have hit a ceiling, the pattern described here is likely familiar. CPL creeping up. Lead quality softening. Your in-house person working harder for diminishing returns. The problem is almost never that your team is bad. The problem is that a single human, no matter how skilled, cannot match the execution speed and pattern recognition of an engine trained on over $500 billion in profitable ad spend.

The groas DWY model gives your in-house team the engine and a senior strategist without taking away the strategic control that makes in-house management valuable in the first place. You keep driving. groas makes the car faster.

If you have someone in-house who knows Google Ads and you are actively running campaigns, get started with groas DWY. Smaller accounts can check out directly. Larger accounts can apply, and the team will work out the right plan on a call.

Frequently Asked Questions

What Is Done-With-You Google Ads Management For B2B?

Done-with-you (DWY) Google Ads management is a model where your in-house team stays in strategic control of your campaigns while an engine and senior strategist handle the execution layer underneath. Your team owns messaging, offer strategy, and final decisions. The engine manages bid optimization, budget allocation, and data analysis around the clock. With groas DWY, you also get bi-weekly strategy calls and weekly reports so nothing happens without your awareness. This model is built for B2B teams that already know Google Ads and want to break through a performance ceiling without surrendering control to an outside agency.

How Can A B2B Lead Gen Company Reduce CPL Without Changing Strategy?

Most CPL increases in B2B lead gen accounts are caused by structural execution problems, not bad strategy. Common culprits include Smart Bidding targets that do not match actual conversion data volume, broad match keywords deployed without enough signal density, undifferentiated landing pages, and reactive negative keyword management. Fixing these execution-layer issues can reduce CPL significantly without changing your core strategy, targeting, or messaging. The groas DWY model addresses exactly this: the engine takes over execution while your team keeps strategic control.

What Happens During The First 30 Days Of DWY Onboarding With groas?

The first week includes a full account audit and an initial strategy call where the groas strategist walks through findings and builds a prioritized 30-day remediation plan with your team. From weeks two through four, the groas engine begins managing bid adjustments and budget allocation dynamically. Your team continues owning messaging and campaign structure. The strategist and your in-house marketer collaborate on the plan, and your team makes the final call on every recommendation.

How Long Does It Take To See CPL Improvement With DWY Google Ads Management?

Results depend on account size and the severity of structural issues, but a common pattern is stabilization in weeks one through four, followed by measurable CPL improvement in weeks five through eight as engine optimizations and landing page changes begin compounding. By week 12, accounts with the types of structural problems described in this article often see meaningful CPL reductions. It is normal for CPL to spike slightly in the first two weeks as the engine reallocates budget away from underperforming areas.

Is DWY Better Than Hiring A Google Ads Agency For B2B Lead Gen?

For teams that have an in-house marketer who knows the account, DWY is typically a better fit than a traditional agency. Agencies require onboarding fees (often $5K or more), lock you into 6 to 12 month contracts, and take full control of the account, meaning you lose the business context your team has built. groas DWY has $0 onboarding, is month-to-month with no lock-in, and keeps your team in the driver's seat while adding an engine trained on over $500 billion in ad spend plus a senior strategist.

What Is The Difference Between DWY And DFY Google Ads Management?

DWY (Done With You) keeps your in-house team in control. You make strategic decisions, and the engine plus strategist handle execution and advisory. DFY (Done For You) means groas owns your Google Ads end to end, including landing pages, offers, and every optimization decision. DWY fits teams with a capable in-house marketer who wants to stay involved. DFY fits teams that want Google Ads fully handled without day-to-day involvement. Many companies start with DWY and transition to DFY as they scale.

Can groas DWY Help If My In-House Google Ads Team Has Hit A Performance Ceiling?

Yes. Performance ceilings in in-house setups are almost always caused by execution constraints, not lack of skill. A single person cannot match the speed, data volume, and pattern recognition of the groas engine, which runs 24/7 and is trained on hundreds of billions in profitable ad spend. The DWY model keeps your team's strategic expertise intact while removing the execution bottleneck that causes plateaus.

What Does The In-House Team Still Control In A DWY Engagement?

Your in-house team retains control of messaging, ad copy, landing page design, offer strategy, campaign structure decisions, and overall business direction. The groas engine manages bid optimization, budget pacing, negative keyword architecture, and intent-based traffic segmentation. The senior strategist provides recommendations during bi-weekly calls, but your team makes the final call on every strategic decision.

How Is Lead Quality Measured During A DWY Engagement?

Lead quality is typically measured by downstream conversion rates, specifically the rate at which Google Ads leads convert to sales-qualified leads (SQLs) and eventually to closed deals. Your team tracks this through your existing CRM and feeds the data back to the groas strategist, who uses it to refine the engine's conversion modeling. This feedback loop is critical and is one reason DWY requires an engaged in-house team.

Do I Need A Long-Term Contract For groas DWY?

No. groas DWY is month-to-month with no long-term contract. Onboarding is $0. You can cancel anytime. groas earns the next month by performing, not by locking you in. This is a deliberate contrast to traditional agencies that typically require 6 to 12 month commitments before you see results.

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