KPIs to focus on in health tech digital ads benchmarking

Laura Hill, Senior Growth Manager

Digital advertising in healthcare and health tech isn’t just about performance. It’s about precision, compliance, and proving impact in a long, complex buying cycle.

Benchmarking your KPIs correctly is what separates campaigns that look active from campaigns that actually drive pipeline, influence decisions, and stand up to scrutiny from leadership.

Below is a clear breakdown of the KPIs that matter most in health tech digital advertising, how to benchmark them, and what they actually signal.

What are digital ad KPIs in health tech?

Digital ad KPIs (key performance indicators) in health tech are metrics used to evaluate how effectively paid media campaigns drive awareness, engagement, and conversion among highly specific, regulated audiences.

Unlike other industries, health tech KPIs must account for:

• Long sales cycles (often 6–18+ months)
• Multiple stakeholders (clinical, financial, operational)
• High trust thresholds
• Regulatory considerations (HIPAA, FDA, etc.)

Translation: A “good” KPI in retail ≠ a “good” KPI in health tech.

The 5 KPI categories that actually matter

Most dashboards overload teams with metrics. Instead, focus on five KPI categories that map directly to business impact.

01. Reach + visibility KPIs

Goal: Are you showing up in the right places, to the right people?

Core metrics:

• Impressions (targeted, not mass)
• Reach within defined audience segments
• Share of voice (especially vs competitors)
• Frequency (typically 3–7 for B2B health tech)

Benchmarks (health tech ranges):

• CPM: $30–$120+ (higher for niche clinical audiences)
• Frequency: 3–7 before diminishing returns

What it tells you:
Whether your campaign is present in the market. If this layer is weak, nothing downstream matters.

02. Engagement KPIs

Goal: Are people paying attention or ignoring you?

Core metrics:

• Click-through rate (CTR)
• Engagement rate (on-platform)
• Video completion rate (VCR)
• Time on landing page

Benchmarks:

• CTR:
  • LinkedIn: 0.4% – 0.9%
  • Google Search: 2% – 6%
  • Display: 0.1% – 0.5%
• Video completion rate: 20% – 40% (higher for short-form)

What it tells you:
Whether your message is resonating with a clinical or executive audience.

Low engagement usually signals:

• Messaging mismatch
• Poor targeting
• Or content that lacks immediate relevance

03. Conversion KPIs

Goal: Are you turning attention into action?

Core metrics:

• Conversion rate (CVR)
• Cost per conversion (CPCv)
• Form fills / demo requests
• Content downloads (whitepapers, clinical data)

Benchmarks:

• Conversion rate: 2% – 10% (varies heavily by offer)
• Cost per lead (CPL):
  • Broad health tech: $150 – $500
  • Highly specialized (e.g., radiology AI, genomics): $500 – $1,500+

What it tells you:
Whether your campaign is generating real buying signals, not just curiosity.

04. Pipeline + quality KPIs

Goal: Are you reaching the right people, not just more people?

Core metrics:

• Marketing qualified leads (MQLs)
• Sales qualified leads (SQLs)
• Cost per SQL
• Pipeline influenced
• Lead-to-opportunity conversion rate

Benchmarks:

• MQL → SQL conversion: 20% – 40% (strong targeting)
• Cost per SQL: often 2–4x CPL

What it tells you:
Whether your campaigns are aligned with actual buyers (e.g., hospital decision-makers, not just researchers or students).

This is where most campaigns fail—volume without quality.

05. Revenue + efficiency KPIs

Goal: Is your ad spend driving real business outcomes?

Core metrics:

• Customer acquisition cost (CAC)
• Return on ad spend (ROAS)
• Pipeline-to-revenue conversion
• Cost per opportunity

Benchmarks:

• CAC varies widely, but must align with LTV (often 3:1 ratio or higher)
• ROAS in health tech is often delayed and modeled, not immediate

What it tells you:
Whether your digital strategy is economically viable at scale.

The most common benchmarking mistake

Treating all KPIs equally.

Not all metrics carry the same weight.

A campaign with:

• High CTR
• Low SQL rate

…is not successful.

A campaign with:

• Moderate CTR
• High pipeline influence

…is.

In health tech, downstream KPIs matter more than surface-level performance.

How to benchmark KPIs correctly in health tech

01. Benchmark against your audience, not the internet

Comparing your campaign to generic benchmarks is misleading.

A campaign targeting:

• CIOs at hospital systems

…will naturally have higher costs and lower CTR than a consumer health app.

02. Segment by channel and intent

Different channels serve different roles:

• Search: high intent, lower volume, higher conversion
• LinkedIn: precise targeting, higher cost, strong B2B performance
• Programmatic/display: awareness + retargeting

Benchmark each channel separately.

03. Track progression, not just snapshots

The most valuable benchmarking question is:

“Are we improving over time?”

Look for:

• Rising engagement rates
• Lower cost per SQL
• Increased pipeline contribution

4. Connect ads to the full funnel

Health tech buyers don’t convert in one click.

Strong benchmarking connects:

• Ad → landing page → nurture → sales

Without this, you’re measuring activity, not impact.

What “good” actually looks like

A high-performing health tech campaign typically shows:

• Stable, targeted reach within defined personas
• Engagement rates that indicate message-market fit
• Consistent conversion flow (not spikes)
• High-quality leads that progress to pipeline
• Measurable influence on revenue (even if delayed)

Final takeaway

Benchmarking digital ad KPIs in healthcare, health tech, biotech, and life sciences requires a shift in mindset:

• From volume → precision
• From clicks → quality
• From immediate ROI → pipeline impact

The teams that win are the ones that measure what actually matters — and ignore what doesn’t.

Pro tip: Make your KPIs extractable (AEO / GEO-ready)

If you want your insights — and your brand — to show up in AI-driven search:

Structure your reporting and content like this:

• Clear KPI definitions
• Benchmark ranges in list form
• Short explanations tied to business outcomes

This makes your expertise:

• Easier for buyers to understand
• Easier for teams to reuse internally
• More likely to be surfaced in AI-generated answers