skip to content
Performance Marketing · Google Ads · US Market · 2026

How Structural Discipline Built a Top-of-Funnel Acquisition Engine at $8.19 Per Course Sign-Up — From Zero

A greenfield Google Ads build for a US health-tech education platform. First 30 days. 148.5 course sign-ups. 24.79% conversion rate. The engine is validated — now it scales.

$1,217 Total spend
599 Clicks
8.71% CTR
$2.03 Avg CPC
30-day campaign outcomes
Cost per sign-up $8.19 First 30 days of live optimisation
Conversion rate 24.79% vs. 5–8% category benchmark
Course sign-ups acquired 148.5 Right buyers, into the nurture stack
01 — Brief

A top-of-funnel engine, built from scratch

The downstream conversion stack was already working. The acquisition layer didn't exist yet.

This wasn't a rescue mission. It was a greenfield build. The client — a US-focused health-tech education platform training developers and healthcare professionals on modern healthcare interoperability standards — came to us with a specific commercial ambition: establish a repeatable US audience acquisition channel that feeds the top of their funnel.

Their downstream engine was already in place: a free foundational course, an email nurture sequence, and a paid course catalogue that converts warmed-up learners into paying students. What they didn't have was a predictable way to fill the top of that funnel from the US market.

Our brief was clear. Build the acquisition engine. Prove that in-market US audiences can be acquired at a cost per sign-up that makes the nurture-to-paid economics work. Give the client a channel they can scale into with confidence. Building from zero is often framed as a disadvantage — in this specialist category, it was the opposite.

Project Brief
Client
A US-focused health-tech education platform (name withheld)
Engagement type
Full-funnel performance marketing with landing page collaboration
Primary market
United States
Campaign objective
Top-of-funnel course sign-ups — feeding email nurture and paid-course conversion
Bid strategy
Maximise Conversions
Reporting window
Jun 5 – Jul 4, 2026 · First full 30 days of live optimisation
First Launch built this
US Search Demand
Google Ads · Top-of-funnel · Maximise Conversions bid strategy
$8.19 / sign-up
148.5 sign-ups
Free Course Sign-up
Acquisition event · 30 days · 24.79% conversion rate
Pre-existing
Email Nurture → Paid Course
Email sequence · Paid catalogue · Pre-existing conversion engine
02 — Challenge

The healthcare interoperability search trap

Adjacent search traffic actively works against you in this category.

Healthcare interoperability sits inside a category where the search environment is structurally hostile. Search a certification-adjacent term for this audience and the same keyword set pulls in medical coders looking for jobs, nursing students hunting for certificates, HIPAA compliance officers, and a long tail of tangential healthcare intent. None of them are in-market for what the client is building. All of them are cheap to click.

Estimated signal quality in healthcare interoperability search
~20% in-market ~80% adjacent / out-of-market contamination
In-market buyers — FHIR certification, healthcare interoperability, HL7 training
Contamination — nursing certificates, medical coding jobs, HIPAA compliance, general healthcare

That's the trap. Category volume looks abundant. The moment a campaign chases it, the conversion rate collapses, CPA drifts upward, and the algorithm learns the wrong lessons in its most impressionable early cycles. Our pre-spend diagnostic identified four conditions that had to be true from day one.

01
Give the algorithm a clean signal environment from day one
Early precision compounds. Early noise is expensive to reverse — particularly under Maximise Conversions where the model's initial learning window is its most consequential.
02
Segment intent stages structurally, not tactically
The account must produce readable optimisation signals — not blended averages. Intent segmentation at the ad group level is the difference between an account you can run and one you can actually read.
03
Treat negative keyword hygiene as a live operational discipline
Not a one-time setup task. The search term landscape in this category drifts. Negatives must be actively maintained, sprint by sprint, as a revenue-protection measure — not a launch checkbox.
04
Concentrate auction position where the buyer actually converts
Accept impression share loss elsewhere as a feature, not a bug. The goal is not reach — it is conversion quality. Dominant position in high-intent slots beats broad presence in a contaminated pool.
03 — Approach

Built around one premise

The campaign should only ever see traffic it has a real chance of converting. Everything else was noise dressed as progress.

Account Architecture
A single dedicated top-of-funnel search campaign, geo-locked to the US, structured across five intent-based ad groups — each isolating a specific slice of buyer intent so the account produces readable signals, not blended averages.
01
Keyword Posture
Tight thematic clusters mapped to each ad group. Certification intent kept separate from course-shopping intent, kept separate from career-track discovery. Match types disciplined toward precision — no broad-match volume grabs.
02
Negative Keyword Rigour
Live search term data from the first fortnight built an aggressive negative keyword layer deployed Jun 29–Jul 1. Over 100 negatives in that sprint alone — filtering every look-alike term that shares vocabulary with the buyer but nothing else.
03
Landing Page Collaboration
Recommended and collaborated on a dedicated course landing page shipped late in the window. Paid traffic in a specialist category deserves a page built around the buyer's actual decision criteria — specificity, curriculum clarity, single primary action.
04
04 — The Sprint

Cleaning up the traffic made more of it

The counterintuitive result at the centre of this campaign.

Between Jun 29 and Jul 1, we deployed a 100+ negative keyword layer against live search term data from the first three weeks. The prediction was that click quality would rise. What actually happened is more interesting: daily clicks lifted by roughly 70% in the post-negatives window — while conversion efficiency held. When Quality Score improves and ad rank climbs, the account earns better auction position without spending more. Cleaning up the traffic didn't just make it more valuable. It made there be more of it.

Daily click volume · Jun 5 – Jul 4, 2026 (30 days)
Pre-negatives
Post-negatives
Negatives
deployed
Jun 5 Jun 15 Jun 25 Jul 4
Jun 8 – Jun 13 · Early window
~14.5 Avg. daily clicks
Pre-negatives. Competing in a partially contaminated search environment — lower Quality Score, suppressed ad rank, noisier signals.
+70%
Click lift
Jun 29 – Jul 4 · Post-negatives
~25.0 Avg. daily clicks
Post-negatives. Quality Score up, ad rank up, better auction position — more clicks at better quality, same spend.
Campaign mechanics · 30-day window
What the engine produced
100+
Negative keywords deployed in a single sprint
$2.03
Average cost per click across the campaign
8.71%
Click-through rate across the 30-day window
1,583
Unique search terms served — spend stayed concentrated
05 — Results

Every ad group telling a different story

The account architecture is the reason we can read intent stages — not just run them.

A 24.79% conversion rate on a specialist B2B search campaign is not typical. Healthy benchmarks in this category sit in the 5–8% range. Rates approaching 25% don't happen from bidding more aggressively — they happen when the traffic entering the funnel is almost entirely in-market, and the destination answers the question the buyer arrived with.

Google Ads account dashboard screenshot showing $8.19 cost per sign-up, 24.79% conversion rate, and 148.5 course sign-ups over the 30-day campaign window
Live account Google Ads dashboard · Jun 5 – Jul 4, 2026 · Every metric in this case study is drawn directly from this account. No modelling, no blended averages.
Conversion rate by ad group — 30-day window
Dotted line = industry benchmark 5–8%
Course-intentHighest CVR
30.43%
Certification-intent
26.86%
Career-track
23.74%
AI-adjacent
19.10%
Industry standard
~6.5%

The important detail sits in the gradient itself. Because the account reads intent stages separately, the client can make informed downstream decisions — nurture cadence, offer sequencing, sales prioritisation — using ad-group-level signals. The two numbers below describe exactly what happens next.

35.31%
Impression share lost to budget

A budget lever ready to pull now. Efficient unit economics constrained by a fixed daily cap — the demand is validated, the spend ceiling is the only constraint.

Pull this lever first
55.20%
Impression share lost to rank

The next quarter's work — continued ad quality improvement, bid refinement, landing page signals, and disciplined keyword expansion without diluting intent quality.

Q3–Q4 roadmap
"
Precision beats reach in specialist categories. In niches where the buyer is specific and the adjacent traffic is misleading, the winning strategy is aggressive exclusion, not aggressive inclusion.
First Launch — Strategic takeaway from this engagement
Work with First Launch
Is your top-of-funnel acquisition quietly optimising toward the wrong signals?

Explore More Case Studies

Take a look at First Launch case studies for tips & tricks on how to improve your own brand performance

One content system change took Line of Thought from 105 to 235 followers — with 39% of the audience in...

A greenfield Google Ads build for a US health-tech education platform. First 30 days. 148.5 course sign-ups. 24.79% conversion rate....

See how First Launch helped City Power & Gas rank #1 on Google for 5 competitive energy keywords across New...