Careers
Part of A Practical Guide to Running Healthcare Email Marketing Programs
How to Benchmark Healthcare Email Marketing
healthcare email marketing benchmarks for 2027 require clear definitions, denominators, machine-activity controls, verified tasks, costs, capacity, and limits.
What to take away
- Automated security and privacy activity can distort observed interactions.
- A benchmark should end in a defined continue, change, pause, or retire decision.
- Define the seven fields before you compare any rate.
Healthcare email marketing benchmarks are useful only when the message job, audience, provider, event definition, denominator, window, exclusions, and operating decision are fixed. This article gives a method for building those benchmarks, not a set of industry averages. No federal agency publishes a healthcare email benchmark.
Write a measure specification
NIST's Measurement Guide for Information Security, Volume 1 requires a written definition, data source, and uncertainty statement for each measure. Apply that documentation standard to the metric contract below.
| Field | What to record | Local example |
|---|---|---|
| Message job | The single action the email should produce | Appointment reminder for a confirmed visit |
| Audience | Inclusion rule, permission basis, and size | Patients with a confirmed appointment in 7 days |
| Provider and event definition | Mailbox provider and what counts as the event | Gmail; count a click after a human session |
| Denominator | Sends, deliveries, or unique recipients, stated once | Delivered messages, not sends |
| Window | Start and end of the measurement period | 7 days after send, no rolling extension |
| Exclusions | Bots, prefetch, internal tests, suppressed addresses | Security scanner IPs and staff test accounts |
| Operating decision | Continue, revise, pause, or retire, with owner and date | Revise if task completion falls below baseline for two cycles |
Measure Specification Fields
- Purposedecision the measure will change
- Eventexact technical or human action
- Populationeligible messages or people
- Denominatorrecords that can produce the event
- Windowtime zone, start, end, attribution rule
- Exclusionstests, staff, duplicates, machines, invalid
- Qualitymissingness, uncertainty, reconciliation result
Keep provider acceptance, hard bounce, inbox placement, human attention, click, completed destination task, qualified service entry, and health outcome separate. Present counts with rates.
Account for nonhuman interactions
M3AAWG's November 2020 publication on nonhuman interactions in email send metrics documents how automated systems generate clicks that no person made. Use it to require a filter rule and a reconciliation step before you treat any click as human interest.
The same risk applies to content programs, so teams should set healthcare content marketing benchmarks before reporting any gains.
Security scanners, privacy features, prefetching, link expansion, staff tests, monitoring, and malicious activity can create or hide events. Record the filtering rule and keep raw, derived, and reconciled measures separate. Do not quietly relabel an automated click as human intent.
US healthcare privacy constraints
HIPAA protects identifiable health information held by providers, plans, and their vendors. A tracking pixel on a patient email can send an IP address, device data, and open behavior to a third party. HHS Office for Civil Rights guidance from March 2024 said that combination can be protected health information (PHI).
A federal court vacated part of that guidance in June 2024. Do not put a third-party pixel on a patient portal, a condition page, or a reminder that names a service. Use aggregate counts and a documented lawful basis, or leave the pixel off.
Use an owned benchmark ladder
- Delivery health
- authentication, rejection, bounce, and complaint under provider definitions.
- Audience quality
- permission evidence, valid addresses, suppression, and wrong-recipient rate.
- Understanding
- correct interpretation in a representative test.
- Task
- verified completion in the system that owns the next step.
- Operations
- reply handling, suitable capacity, cost, error, and correction time.
Establish a baseline with comparable message classes, populations, periods, clients, providers, volumes, and service conditions. Note changes in creative, privacy technology, domains, and authentication. Use a holdout or controlled comparison when feasible and appropriate. Report adverse signals beside favorable ones.
Worked example, illustrative: a clinic sends 8,000 appointment reminders. Delivery reports 7,600 delivered. Of those, 1,200 click a reschedule link and 900 complete the reschedule.
The task completion rate is 900 divided by 7,600, or 11.8 percent. That number is local to this list and period. It is not a target for any other program.
Review the decision monthly
Choose one action for each program: continue, revise, pause, or retire. A high click rate should not excuse poor consent evidence, inaccessible content, unwanted mail, wrong recipients, unavailable service, or staff overload. Preserve the metric contract and decision so future results remain comparable.
Make the comparison reproducible
The GAO evaluation design guide connects evaluation questions with evidence needs and design choices. Apply that discipline to healthcare email marketing benchmarks; federal evaluation guidance does not make a local marketing result causal or transferable.
The NIST experimental design selection guidance starts design choice with the objective and the practical constraint. Use it to label a benchmark as descriptive unless a controlled comparison supports a causal claim.
Recalculate each cited figure from the governed dataset before you compare it. Record any mismatch.
Common questions
What is a good healthcare email open rate?
There is no universal rate. Client privacy behavior, definitions, audience, purpose, and data quality make direct comparison unsafe.
Is a click always human?
No. Automated systems and other nonhuman activity can generate clicks, so consequential actions need reconciliation.
Which benchmark matters most?
The one tied to a defined audience or operating decision and reported with quality, risk, cost, and capacity.
