B2B healthtech / USA
ClearPulse Healthtech: 2.2X enterprise inquiries.
A healthtech company improved enterprise inquiry quality by connecting search intent with stronger buyer education.
Evidence path
Signal
42%
Before
Signal
18d
Implementation
Signal
3.4x
Outcome
Snapshot
- Market
- B2B healthtech, USA
- Primary work
- SEO, paid search, sales enablement
- Timeframe
- 4 months
- Main signal
- 2.2X enterprise inquiries
Before/after bars
4 months view, normalized for confidentiality and shaped around the main performance signal.
2.2X
Enterprise inquiries
+120%
Paid lead quality
+62%
Service page assists
+81%
Case narrative
The story behind the numbers.
Metrics are useful, but they only matter when the operating problem is clear. This is how the work translated from diagnosis into practical growth movement.
What was really happening
Traffic mixed clinical, operational, and vendor-research intent without a clear conversion path. The visible symptom was not the full problem. The deeper issue was how seo, paid search, sales enablement connected to buyer intent, internal follow-up, and the commercial signal the team needed to trust.
What changed operationally
We built role-specific service pages, tightened paid search intent, and created sales enablement content for procurement questions. The work was shaped around practical movement: clearer priorities, cleaner handoffs, better measurement, and fewer assumptions about what buyers needed next.
Why the result mattered
Inquiry quality improved and sales had better context before discovery calls. The value was not only the headline metric. It was the fact that the team had a more usable growth system after the first improvement cycle.
Before and after
What changed when the growth system became easier to operate.
The visual comparison is intentionally normalized because the client identity and sensitive commercial numbers are protected.
Before
Traffic mixed clinical, operational, and vendor-research intent without a clear conversion path.
After
Enterprise buyers found pages that matched their role, concerns, and next-step readiness.
Metric movement
The practical signals we watched.
The comparison below uses normalized values where exact client numbers are sensitive. It still shows the direction of improvement and the type of signal that shaped the next decisions.
Enterprise inquiries
Before
1.0X
After
2.2X
+120%
Paid lead quality
Before
39%
After
63%
+62%
Service page assists
Before
100
After
181
+81%
Work performed
The engagement focused on the constraint, not a generic channel list.
The site attracted interest from healthcare teams, but the pages did not separate enterprise buyers from general information seekers.
Built role-specific service pages
This gave the team a clearer view of the constraint behind enterprise inquiries, instead of treating every channel or page as equally important.
Tightened paid search intent
This connected the public buyer journey with the internal operating rhythm, so the next action was easier to choose and measure.
Created procurement content
This reduced ambiguity for the sales or marketing team by turning scattered signals into a more practical decision path.
Added source-quality reporting
This created a repeatable improvement loop rather than a one-time campaign change that would be hard to learn from later.
Decision value
How a buyer should use this case.
This page is not a promise that the same result will happen in a different business. It is a decision aid for spotting similar constraints before choosing the next investment.
Are we trying to scale seo, paid search, sales enablement before the buyer journey is clear enough?
Can we see which sources, pages, or follow-up moments are producing the best commercial signal?
Would an audit, project build, growth system, or post-launch operations model be the smallest serious way to improve this constraint?
Service stack
The capabilities behind the improvement.
Most case studies are not one-channel wins. The result usually comes from connecting several pieces of the growth system.
SEO Systems
Used as part of the operating system behind 2.2X enterprise inquiries, with the work tied back to measurement and next-step decisions.
Google Ads
Used as part of the operating system behind 2.2X enterprise inquiries, with the work tied back to measurement and next-step decisions.
Landing Page Copy
Used as part of the operating system behind 2.2X enterprise inquiries, with the work tied back to measurement and next-step decisions.
Sales Enablement
Used as part of the operating system behind 2.2X enterprise inquiries, with the work tied back to measurement and next-step decisions.
Challenge
The site attracted interest from healthcare teams, but the pages did not separate enterprise buyers from general information seekers.
Strategy
We built role-specific service pages, tightened paid search intent, and created sales enablement content for procurement questions.
Outcome
Inquiry quality improved and sales had better context before discovery calls.
Recommended System
Launch System is the closest fit for a similar constraint.
This case depended on clearer foundations before heavier acquisition spend. Launch System is usually the right fit when positioning, page structure, tracking, and the first channel need to be made workable.
Engagements typically begin at
$1,750/month
The right system still depends on budget, internal ownership, sales process, and how quickly decisions can be reviewed.
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Evidence into action
A case study is useful only if it helps you see your own constraint more clearly.
See how disconnected acquisition systems were restructured into measurable operational workflows, then decide whether your next move is audit, build, optimization, or a deeper growth system.
01
Compare the visible symptom
02
Name the operating constraint
03
Choose the smallest serious next step
The work starts with context, not a copied playbook.