The right healthtech KPIs depend on two things: who pays you and how far along you are. Early on, track engagement and activation. By Series A, investors want repeatable unit economics, renewals and outcomes at scale. Later, margin and efficiency take over. Below is how to choose, calculate and report each metric, with the clinical lens a physician leader brings to the board.
TL;DR
- Pick KPIs by payer model (consumer, employer, payer, provider software), not from a generic SaaS list.
- Pre-Series A: lead with activation, engagement and cohort retention. Add clinical and economic outcomes as data matures.
- Define every metric in writing, calculate it the same way each month, and report cohorts and 6 to 12 months of trend.
- Healthcare CAC and LTV need the costs generic templates miss: implementation, integration, compliance and clinical validation.
- Clinical, safety and workflow metrics belong on the same dashboard as revenue metrics.
Table of Contents
- Start with who pays you
- Early-stage KPIs: engagement first
- Recurring revenue, growth and margin: the math
- Adoption and retention: are customers actually using it?
- Clinical outcomes, safety and workflow impact
- Benchmarks: use them carefully
- Building a dashboard your board will use
- Metrics that mislead
- Our perspective
- Work with a physician leader on your KPI set
- FAQ
- Sources
Start with who pays you
A KPI list copied from a horizontal SaaS company will mislead you. In healthcare, the buyer, the user and the beneficiary are often three different parties. One analysis of investor-relevant metrics for mental health startups puts it plainly: which metrics matter depends on who pays you. It groups them into retention, clinical outcomes, unit economics, clinician productivity and safety.
The same source gives unit-economics examples by model. Here is how that maps to the decisions founders face:
| Business model | Unit-economics metrics that carry the story |
|---|---|
| B2C subscription | CAC by channel, trial-to-paid, monthly churn by cohort, LTV, cohort payback |
| Employer | Annual contract value, eligible lives, utilization, gross margin at actual utilization, win rate, logo and net revenue retention |
| Payer, fee-for-service | Revenue per visit by payer, denial rate, days in AR |
| Provider software | ARR, seats, weekly active clinicians, net revenue retention, implementation time |
Notice what the table implies. An employer-facing company that reports only sign-ups is hiding the number that decides its margin: how many eligible lives actually use the product. A provider-software company that reports only ARR is hiding whether clinicians open the tool on a Tuesday afternoon.
Before you build a dashboard, write one sentence: "We get paid when ___ happens, and we keep getting paid when ___ happens." The first blank is your acquisition and activation metric. The second is your retention and outcomes metric.
Early-stage KPIs: engagement first
Seed-stage healthtech rarely has clean LTV/CAC. Sales cycles are long, pilots are small, and outcome data takes time. Bessemer recommends tracking engagement and utilization as leading indicators for early-stage companies. It defines two to start with:
- Activation %: the share of members your service can onboard.
- Engagement %: how many users use the product, and how often, within a set period (daily, weekly or monthly).
Tech-enabled services should track both member and clinician engagement. Bessemer also notes that investors use engagement to estimate what realized revenue might look like on signed contracts, which is why engagement is a revenue metric as much as a product one.
Rock Health's survey of early-stage digital health companies found that engagement outcomes are the ones tracked most often, and that clinical and economic metrics can take years to collect. Its suggested approach is "engagement first, clinical/economic later." In that survey, customer satisfaction was the most commonly tracked engagement metric (67% of respondents), and reducing symptoms or improving a condition was the most common clinical outcome category (56%).
Our read as clinicians: that sequencing is right, with one condition. Choose engagement metrics that plausibly connect to a clinical mechanism. Logins do not. Completing a care plan step, responding to a clinician message or finishing a screening does. When the clinical data arrives, you want a trail from the behavior to the outcome.
For how this progression shapes a raise, see our walkthrough of health tech Series A milestones.
Recurring revenue, growth and margin: the math
Once contracts are recurring, investors will ask for the standard SaaS set. Calculate it consistently.
MRR and ARR. Chargebee describes the MRR roll-forward as beginning MRR, plus new and expansion MRR, minus contraction and churned MRR, which equals ending MRR. ARR is ending MRR times 12.
Net revenue retention (NRR). The formula, as laid out by FounderPath, is (start MRR + expansion − contraction − churn) ÷ start MRR × 100. It tells you whether existing customers grow or shrink on their own. In healthcare, expansion usually means additional departments, sites or use cases inside the same health system or employer.
Gross margin. Revenue minus COGS, divided by revenue. Chargebee notes SaaS COGS includes hosting, third-party infrastructure, support and payment processing. In healthcare, add the ongoing support and compliance cost to serve each customer.
CAC. At its simplest, sales and marketing spend divided by new customers in the period. Chargebee frames CAC as the fully loaded cost of winning an account, and payback as the months needed to recover it.
The healthcare adjustment matters most here. A CPA firm that works with medtech SaaS companies says CAC should include regulatory affairs time for customer-specific implementations, clinical validation studies for specific use cases, and EHR or device integration support. It warns that founders can underestimate true CAC by 30 to 40% when those indirect costs are not allocated. The same source suggests supporting LTV with ARR per customer, average customer lifespan, expansion revenue and gross margin after ongoing support and compliance costs.
A worked example with invented round numbers, only to show the mechanics: if you spend $600,000 on sales, marketing and implementation to land 6 health system customers, CAC is $100,000 per customer. If each customer pays $80,000 a year at a 70% gross margin, annual gross profit per customer is $56,000, and payback is roughly 21 months. Leave implementation out of the CAC and the same company looks much better than it is.
Later-stage efficiency
As companies mature, Bessemer suggests shifting from net burn rate to free cash flow margin. For healthcare SaaS at $30 million or more in ARR, it points to the Rule of 40, and for tech-enabled services it introduces a scalability score. If you are pre-revenue or at seed, you do not need these yet, but you should know where the conversation goes.
If you are preparing to raise, this capital raising checklist for founders pairs well with a clean metrics pack.
Adoption and retention: are customers actually using it?
Signed contracts are not adoption. In healthcare, a contract can sit unused for a year because the clinical workflow never changed.
Track these in order:
- Activation. The share of eligible members or clinicians who complete onboarding.
- Feature adoption. Countly defines it as the percentage of active users using a specific feature, with engagement as the frequency, duration and depth of that use.
- Cohort retention at several horizons. The same source suggests D7, D30 and D90, treating D7 as a signal that early value is sticky and D90 as a sign of longer-term habit and satisfaction.
- Clinician engagement. For provider software, weekly active clinicians matter more than seat counts.
For programs with a clinical component, Fairview's operating dashboard guidance lists five clinical metrics: 90-day active engagement rate, time-to-first-outcome, condition-specific outcome improvement rate, clinical escalation rate and care plan completion rate. It cites a 50 to 65% 90-day engagement benchmark for well-run chronic disease programs and warns that below 40% risks non-renewal. Treat those as one company's reference points, not a standard, and see the benchmark section below before you quote them to a board.
Patient-facing products often don't have usable LTV/CAC early. Engagement frequency ratios, such as daily to monthly active users, stand in. Whatever you choose, tie it to the renewal conversation: the engagement number you track should be the one your buyer's champion will quote internally.
Clinical outcomes, safety and workflow impact
Founders ask when to start measuring outcomes. Our answer: earlier than feels comfortable, in a modest form, because outcome evidence is slow to build and buyers increasingly ask for it. We go deeper in our post on clinical outcomes metrics for health systems and SaaS.
Two cautions from the literature are worth knowing.
Access is often unmeasured. A systematic review of asynchronous e-visits found improved or comparable clinical outcomes, especially for chronic disease, with mixed effects on quality, and reported that no included studies examined impact on access to care. If your pitch is access, you may be one of the few measuring it. Define it concretely: time to first appointment, share of patients reached who were previously unserved, or wait-time reduction.
Technical metrics are clinical metrics. A systematic review of clinical analytics dashboards found only four studies that assessed patient health outcomes, and noted that technical-level problems, such as poor dashboard usability, can degrade clinician decisions and lead to adverse events. That is a reason to track usability, alert burden and error rates next to adoption.
For AI products, implementation is a measurable process too. Researchers describe an algorithm journey map for putting AI into clinical workflows, such as a sepsis tool, with ongoing updates for as long as the tool is used. Practical KPIs that follow from that thinking: time added or removed per clinician task, override rate on recommendations, escalation rate, and any safety events tied to the tool. Pick a small set, define it with your clinical lead, and review it on a schedule.
Benchmarks: use them carefully
Benchmarks reassure founders and investors, and they also deceive. Three habits keep comparisons honest:
- Match the denominator. Bessemer cautions that engagement should be compared using an apples-to-apples denominator that includes only the potential members addressable in your area, not every covered life at the customer.
- Match the model and stage. A 90-day engagement figure from a chronic disease program says little about a one-time surgical navigation tool.
- Match the sales cycle. A source aggregating healthtech benchmarks notes that healthcare sales cycles run long, often around nine months for providers and up to 18 months for payers. Do not hold a payer-facing company to a three to six month ideal.
When you cite a benchmark in a deck, state its source, year and population. Investors will ask.
Building a dashboard your board will use
A dashboard is a decision tool. SVB's guidance on post-Series A goal setting says that once you understand your critical metrics, shorter-term benchmarks and goals offer windows into performance and act as informal contracts with investors. Treat them that way.
Practical rules we apply:
- One primary KPI, plus drivers. Board reporting guidance recommends a primary on-track or off-track metric with supporting drivers, and warns against data dumps.
- Show trend, not snapshots. The same source suggests consistent definitions and 6 to 12 months of history per metric.
- Be direct about bad news and end with asks. Boards help more when you tell them early and ask for something specific, such as a customer introduction or a hire.
- Link clinical and financial data. Fairview describes connecting 90-day engagement rate to PMPM contract performance, and clinical escalation rate to blended gross margin, so teams see whether clinical investment pays back and whether financial pressure threatens quality.
- Write definitions down. Finative advises defining each metric in writing and calculating it the same way every month, tied to the financial statements.
A website funnel can sit in the same pack if inbound matters to your pipeline. This guide on measuring website success with KPIs covers that layer. Keep it subordinate to the clinical and revenue metrics that decide renewals.
Metrics that mislead
Blended figures. When a company has several revenue types, such as software subscriptions, services and per-member fees, a blended ACV or CAC payback hides how each behaves. A commercial benchmarks analysis advises reporting segment-specific figures rather than summing blended lines.
Averages over cohorts. Average retention hides a bad recent cohort. A startup metrics playbook makes the case for viewing retention, revenue and engagement by cohort.
Vanity activity. Downloads, sign-ups, pilots announced and "lives covered" are not usage. Replace each with the metric one step closer to value: activated, engaged, renewed.
Unqualified AI claims. If your story is AI-driven, the KPIs should say what the AI changes: time saved, accuracy against a clinical standard, adoption by clinicians, outcome movement. Define them before you pitch.
Our perspective
We see the same pattern in healthcare SaaS companies at every stage: the financial metrics are tidy, and the clinical story is a paragraph in the deck.
That gap costs founders. Health system buyers and investors with healthcare experience want to know whether the product changes care and whether clinicians will use it. A dashboard built only by finance and product teams rarely answers either.
This is the gap a fractional Chief Medical Officer is built to close. We help define clinical outcome and safety measures that fit your payer model, connect them to engagement and renewal data, and prepare the story for a board or investor conversation. Our work draws on real patient care and startup growth experience, and the goal is practical medical leadership, not a report that sits on a shelf.
If your KPI set feels misaligned with what your buyers care about, I would welcome a conversation.
Paul Bergeron MD, MBA
Work with a physician leader on your KPI set
The StartUp MD provides Fractional Chief Medical Officer and advisory services for healthcare SaaS and healthtech companies. That includes clinical strategy, product evaluation, market readiness assessment and investor support. If you need help choosing clinical and operating metrics, or presenting them to your board, see our services.
Investors with healthcare portfolio companies can also use us for executive and board advising. Start at The StartUp MD.
FAQ
What are the most important KPIs for an early-stage healthtech startup?
Start with activation, engagement and cohort retention. Bessemer recommends engagement and utilization as leading indicators early on, and Rock Health reports that early-stage companies most commonly track engagement outcomes. Add clinical and economic outcomes as data accumulates, and track burn and runway alongside.
How is healthtech CAC different from standard SaaS CAC?
The formula is the same, but the inputs are heavier. Implementation, EHR or device integration, regulatory time and clinical validation for a specific customer are real acquisition costs. One CPA firm warns that leaving indirect costs out can understate CAC by 30 to 40%.
How long should a healthtech sales cycle be in my model?
It depends on the buyer. One benchmarking source cites about nine months for providers and up to 18 months for payers, longer than many generic SaaS targets. Use your own pipeline history by buyer type, and do not import an ideal from a different segment.
Should I track clinical outcomes before Series A?
Track a small, defined set early, even if the evidence is preliminary. Rock Health notes clinical and economic metrics can take years to collect, so engagement leads. Series A investors still expect a credible path to scaled outcomes, so choose measures now that you can sustain.
What KPIs should I put in a board report?
Use one primary on-track or off-track KPI with a few supporting drivers, 6 to 12 months of trend, consistent written definitions and specific asks. Include at least one clinical or safety measure so the board sees quality next to growth.
Sources
- Bessemer Venture Partners: The ABCs of health tech
- Rock Health: On the road to impact
- Mental Health Startup Metrics: The KPIs Investors Want
- Chargebee: SaaS Financial Model
- FounderPath: SaaS Financial Metrics
- Herod CPA: Tracking Unit Economics for MedTech SaaS
- Countly: Product analytics metrics for digital healthcare
- Fairview: Operating Intelligence for Healthtech
- Nguyen et al.: Asynchronous electronic communication systematic review
- Lim et al.: Toward a Learning Health Care System
- Boag et al.: The algorithm journey map
- DataDrivenInvestor: Benchmarking Your HealthTech Startup
- SVB: Metrics That Matter
- Basedash: How to communicate startup metrics
- Finative: SaaS Metrics Guide
- Fintastiq: B2B SaaS commercial benchmarks
- Startup Fundraising: The Startup Metrics Playbook
- KapVista: Capital Raising Checklist for Founders
- Babylon Love Growth: How to measure website success