When a mid-market SaaS HR platform came to us in Q1 2026, they were spending $34,000 per month on Google Ads and booking an average of four sales-qualified leads per week. Their sales team was frustrated, their CAC was climbing, and their attribution data was a mess. Over 90 days, we restructured the account from the ground up, tightened their audience signals, and fixed three conversion-tracking errors that were inflating their reported lead count by 40%. By month three, cost per SQL had dropped from $1,420 to $554 and qualified pipeline had doubled.
The Starting Point: High Spend, Low Signal Quality
The client was running a single Performance Max campaign alongside two broad-match search campaigns with no negative keyword lists. Every form fill, including a free 'resource download' CTA buried in their blog sidebar, was firing as a conversion. This meant Google's bidding algorithm was optimising toward noise rather than genuine sales intent. As we outline in our breakdown of why Google Ads often fail to generate quality leads, the problem is rarely the platform itself and almost always the signal quality fed into it.
We pulled 90 days of search term reports and found that 38% of spend was going to queries like 'free HR software', 'HR software for small business free trial', and several navigational searches for competitors. None of these were converting to SQLs at any meaningful rate. The account had never had a structured negative keyword strategy applied.
Step 1: Conversion Tracking Audit and Rebuild
Before touching bids or structure, we audited every conversion action in Google Ads against the client's CRM data in HubSpot. We found three issues: the blog download was counted as a primary conversion, a 'thank you' page was firing twice due to a duplicate tag, and a demo booking made via Calendly was not being tracked at all. Fixing these three issues alone changed the account's reported conversion volume from 187 per month to 112 per month, closer to reality and far more useful for Smart Bidding.
We set the demo booking and the 'request a callback' form as the only primary conversion actions, both with a value of $200 assigned based on the client's historical close rate and average contract value. Secondary conversions, including content downloads, were demoted to observation only. Google's own guidance on conversion action settings makes clear that Smart Bidding uses primary conversions exclusively for optimisation, so the distinction matters enormously.
Step 2: Account Restructure Around Buyer Intent Tiers
We collapsed the existing campaigns into three tightly themed search campaigns: one targeting bottom-funnel terms (demo, pricing, alternatives, comparison), one targeting mid-funnel problem-aware terms (automate HR processes, reduce HR admin, employee onboarding software), and one brand campaign to protect against competitor bidding. Performance Max was paused entirely for 30 days while we established a clean baseline from search alone.
Each campaign used exact and phrase match only, with a shared negative keyword list of 340 terms built from the search term audit. This approach mirrors the structure we recommend in detail in our guide on how to structure Google Ads for B2B. The bottom-funnel campaign received 60% of budget, mid-funnel 30%, and brand 10%, reflecting where purchase intent actually sits.
- Bottom-funnel CPC target: $18-24 (down from a blended $31 previously)
- Mid-funnel CPC target: $9-14, with tighter device and time-of-day bid adjustments
- Brand campaign capped at $8 CPC to hold position without overspending
- All campaigns set to Maximise Conversions with a target CPA once 30 conversions per month were reached
Step 3: Landing Page Alignment and Form Friction Reduction
The original campaigns sent all traffic to the homepage. We built three dedicated landing pages matching the intent of each campaign: a demo-request page, a feature-comparison page targeting the 'alternatives' queries, and a use-case page for the mid-funnel terms. Each page had a single CTA, no navigation, and a form with five fields maximum. The comparison page included a structured table showing the client's platform against two named competitors, which increased time-on-page by 2.3 minutes on average.
We also reduced the demo form from nine fields to four (name, work email, company size, and primary challenge). This alone lifted form completion rate from 11% to 27% within the first two weeks. If your landing pages are bleeding conversions before they even reach the form, the issues are almost always structural, as we cover in our analysis of why B2B landing pages fail to convert.
The 90-Day Results
By the end of month three, the account was generating 22 SQLs per week at a cost of $554 each, down from four per week at $1,420. Total monthly ad spend actually decreased slightly, from $34,000 to $31,500, because we cut the wasted spend on irrelevant queries and low-intent traffic. Closed-won pipeline attributable to paid search increased from $180,000 to $490,000 over the same period, based on CRM data synced back to Google Ads via offline conversion imports.
The client's sales team reported that lead quality had improved noticeably: fewer 'just browsing' enquiries, more contacts who had already reviewed pricing before requesting a demo. Search Engine Land's research on B2B PPC lead quality consistently finds that account structure and signal quality outweigh budget size as predictors of SQL volume, which this engagement confirmed directly. The structural changes, not additional spend, drove the outcome.
What This Means for Your Account
The three levers that produced this result, conversion tracking accuracy, campaign structure by intent tier, and landing page-to-query alignment, are available to any B2B Google Ads account. None of them require a bigger budget. Most accounts we audit have at least two of these three issues present, and the combination compounds: bad tracking feeds bad signals into Smart Bidding, which then wastes spend on low-intent traffic that even a good landing page cannot save.
If your cost per SQL is above $800 in a SaaS or professional services vertical, the problem is almost certainly upstream of your ads. Audit your conversion actions first, check whether your campaign structure separates intent tiers, and then look at your landing pages. Fix those three things before touching your bids or raising your budget.