March 24

B2B SaaS Google Ads Case Study: Targeting the Right Search Intent

It is a scenario I encounter almost every week. A B2B software business has a sophisticated product, a series of beautifully designed landing pages, and a healthy budget. They turn on Google Ads, and the dashboard begins to hum with activity. Clicks are flowing, impressions are high, and the cost-per-click seems manageable.

Yet, when the founder looks at the actual pipeline, the silence is deafening.

I recently completed a project for a growing B2B email infrastructure provider. When I first audited the account, I found a classic architectural error that is burning budgets across the SaaS landscape: the belief that different landing pages can solve a fundamental search intent problem. This is often the result of a "social media mindset" being applied to search—using tactics that work for interrupted scrolling but fail in the world of active queries.

The Illusion of Page-Centric Targeting

The original setup for this provider was built on a logical but flawed premise. The business had created separate landing pages for different audiences—agencies, small businesses, and freelancers. To feed these pages, they had set up multiple campaigns and ad groups, all bidding on the same core keywords like "business email hosting" or "custom domain email."

On paper, it looked like a funnel. In reality, it was a circular firing squad.

In the world of Google Search Ads, you cannot target audiences purely through landing pages if your keywords are identical. If an agency owner and a solo freelancer both search for "business email account," Google does not know who is who. By having multiple ad groups competing for the identical term, the business was essentially bidding against itself. This internal competition inflates costs and dilutes the data the algorithm needs to learn.

Structural Consolidation: Intent Over Infrastructure

Our first step was a radical consolidation. We moved away from the fragmented, page-heavy structure and toward a unified Search Intent architecture.

We established three distinct pillars:

  1. Agencies: Targeting "unlimited domain" and "unlimited email addresses" intent.
  2. Small Businesses: Focusing on "professional email" and "email hosting providers."
  3. Alternatives: Capturing users explicitly looking for high-end Google Workspace alternatives.

By isolating these intents into specific ad groups, we ensured that a user searching for an agency solution was met with an agency-specific ad, which then led to the agency landing page. This creates a "congruence chain" that the Google algorithm rewards with higher Quality Scores and lower costs.

The Search Term Invoice of Reality

Once the structure was stabilised, we turned our attention to the historical search terms—the actual words users type into the box. This is what I call the "Invoice of Reality."

In the weeks prior to the transition, we found the budget was being drained by "informational" seekers. Terms like "get an email address" or "temp email address" were triggering the ads. These users are not looking for a B2B infrastructure partner; they are looking for a quick, often free, fix.

We aggressively scrubbed these terms using a Negative Keyword Shield. We shifted the strategy to Exact Match for high-value phrases to ensure we were only paying for users with "commercial intent." The result was immediate: the click-through rate (CTR) climbed, and we began seeing uniform geographic validation—conversions appearing simultaneously in the US, Canada, and Australia.

The Algorithmic Transition Roadmap

Many advertisers make the mistake of switching to "Maximize Conversions" or setting a "Target CPA" too early. An algorithm is a co-pilot; it cannot fly in a fog of zero data.

We are currently in the early stages following the structural change. For this project, we are maintaining a "Maximize Clicks" strategy during the initial data-gathering phase. We must first prove that the traffic is high-quality before letting the AI take over. We also identified a technical redundancy where "Signups" and "Email Verification" were both being counted as primary conversions, essentially double-counting the same lead.

By reclassifying "Email Verification" as the only primary action, we have given the algorithm a single, clean North Star to follow.

Precision as a Growth Lever

The lesson from this project is clear: you cannot automate your way out of a poor structure. In the competitive B2B SaaS market, where you are often bidding against giants, precision is your only competitive advantage.

Stop chasing volume. Stop trusting the "Optimisation Score" blindly. Start controlling your intent, and the conversions will follow.

Book a consulting session with me on Fiverr or comment on LinkedIn.


About the author

Google Ads Specialist based in Germany, specializing in high-precision lead generation for B2B & B2C service providers. With over 800 account audits globally, he helps businesses replace "blind automation" with data-driven surgical targeting.



You may also like

Lawyer Lead Gen Case Study: Why you shouldn’t use a Standard Funnel Builder Page Template to Build Trust

Need an Audit of your Search Ads Campaign?