Most B2B SaaS companies treat LinkedIn and Google Ads as separate budget lines managed by separate people with separate KPIs. That structure is exactly why their cost per lead stays stubbornly high. This case study documents how we restructured both channels into a single coordinated demand capture and demand generation system for a mid-market HR tech client, dropping their blended CPL from $412 to $189 over a 90-day engagement.
The Starting Point: Two Channels, Zero Coordination
The client had been running LinkedIn Lead Gen Forms targeting HR Directors and Google Search ads targeting queries like 'employee onboarding software' for about 14 months. Both channels were generating form fills, but only 9% of those leads were converting to a discovery call, and just 3% were progressing to a qualified opportunity. The Google Ads account had a single broad campaign with minimal negative keyword coverage, while the LinkedIn campaigns were optimised entirely for volume, with no audience segmentation by company size or buying stage.
The core problem was attribution blindness. Neither channel knew what the other was doing, so there was no way to tell which touchpoint was actually driving intent. Our first step was installing proper multi-touch attribution across both channels so we could see the actual path to conversion, not just the last click. Once we had 30 days of clean data, the pattern was clear: LinkedIn was generating awareness, and Google was harvesting it, but the Google campaigns were also wasting significant budget on non-buyer queries.
According to LinkedIn's B2B Institute research, only around 5% of your target market is actively in-market at any given time. The remaining 95% need to be warmed before a search-intent channel can convert them efficiently. That insight shaped every decision we made in this engagement.
Phase 1: Fixing the Google Ads Foundation (Days 1-30)
Before touching LinkedIn, we audited the Google Search campaigns and found the client was spending 38% of their daily budget on queries that had never produced a single conversion in 14 months. Terms like 'free HR software', 'HR software reviews', and 'what is employee onboarding' were eating roughly $3,200 per month. We built out a structured negative keyword list covering informational, competitor-comparison, and free-tool intent queries, which is a process we cover in detail in our guide on eliminating wasted spend with negative keywords.
We also restructured the campaign architecture to separate branded queries, competitor queries, and core product queries into distinct campaigns with individual budgets and bidding strategies. Branded terms moved to a manual CPC campaign with a low cap, since those clicks convert at 4x the rate and do not need smart bidding overhead. Core product terms moved to a Target CPA campaign with a CPA target set at $200, giving the algorithm a realistic ceiling rather than an unconstrained spend goal.
After 30 days, Google CPL had fallen from $387 to $241, and the qualified lead rate from search improved from 11% to 19%. The improvement came entirely from exclusion and structure, not from increasing spend.
Phase 2: Rebuilding LinkedIn for Pipeline Quality, Not Volume
The LinkedIn account had four active campaigns all running the same creative to the same 'HR professionals at companies with 200+ employees' audience. There was no distinction between cold audiences who had never heard of the brand and warm audiences who had already visited the pricing page. We split the audience into three tiers: cold ICP audiences using job title and company size targeting, a retargeting audience of website visitors who had not converted, and a lookalike audience built from the client's existing closed-won customers.
Creative was completely overhauled for each tier. Cold audiences received educational content focused on the cost of poor onboarding, not a product pitch. Warm retargeting audiences saw a specific comparison angle and a free trial CTA. The closed-won lookalike audience received a case study ad referencing an outcome relevant to their industry vertical. This tiered approach reduced LinkedIn CPL from $448 to $261 within 30 days, while the lead-to-opportunity rate from LinkedIn improved from 4% to 14%.
We kept the LinkedIn Lead Gen Forms for cold and warm tiers because the form pre-fill reduces friction, but we routed retargeting traffic directly to a dedicated landing page where we could control the post-click experience. That page was built around the principles we document in our analysis of why B2B landing pages fail to convert, specifically removing navigation, adding a single CTA, and putting social proof above the fold.
Phase 3: Connecting the Two Channels Intentionally
The real CPL reduction came when we stopped treating the two channels as independent and started using LinkedIn to create the search demand that Google could then capture. Any prospect who engaged with the LinkedIn educational content but did not convert was added to a Google Display remarketing list and shown a direct-response ad while they were browsing elsewhere. Any prospect who clicked a Google Search ad but did not convert was added to a LinkedIn retargeting campaign with a case study creative. This created a closed loop where neither channel had to do all the work alone.
We also used LinkedIn's Matched Audiences feature to upload the client's CRM list of open pipeline opportunities and suppress them from cold LinkedIn campaigns, while simultaneously adding them to a separate Google campaign with higher bids and more specific messaging. This prevented budget waste on prospects already in the sales process and improved the quality of the remaining impressions significantly.
The combined effect of these three phases over 90 days: blended CPL dropped from $412 to $189, the lead-to-opportunity rate across both channels rose from 6% to 21%, and total pipeline generated per month increased by 78% on a budget that grew by only 12%.
What This Structure Requires to Work
This approach only functions if you have a few non-negotiable foundations in place. Attribution needs to be configured at the account level so you can see cross-channel paths, not just last-click data. CRM integration with both ad platforms is mandatory, since without it you cannot build suppression lists or closed-won lookalikes. And your Google Search campaigns need to be clean before you layer LinkedIn on top, because sending warm LinkedIn audiences to a poorly structured Google account will produce misleading data and wasted spend.
- Install cross-channel attribution before running both platforms simultaneously
- Segment LinkedIn audiences by buying stage, not just job title or company size
- Use CRM suppression lists to prevent budget waste on existing pipeline
- Build negative keyword lists in Google before increasing LinkedIn spend to drive more search volume
- Test separate landing pages for retargeting traffic versus cold traffic on both platforms
- Review the lead-to-opportunity rate weekly, not just CPL, to catch quality degradation early
The 54% CPL reduction in this case was not the result of a single clever tactic. It came from fixing structural problems in both accounts, connecting them with shared audience data, and measuring at the pipeline level rather than the impression or click level. Any B2B SaaS company spending more than $15,000 per month across paid channels and not seeing this kind of coordination between platforms is almost certainly leaving significant pipeline efficiency on the table.