Built for Healthcare Marketing Leaders

The CRM healthcare marketing leaders run the demand number from.

A VP of marketing at a healthcare SaaS, medical device, or health system vendor company carries a demand number against a dual persona (physician and admin) that converts on different time horizons, a 9 to 18 month attribution window that outlasts quarterly board reporting, and a privacy posture that forbids personally identifiable information in ad pixels. Strkr collapses the campaign attribution, the dual-persona segmentation, the HIPAA-safe pixel strategy, and the pipeline rollup into one workspace built for a healthcare marketing leader running a 4 to 20 person team.

Start free trial See pricing
Why buyers are here

Healthcare Marketing Leaders: the daily pains.

A healthcare marketing leader is accountable for a demand number against five constraints that do not exist in a normal B2B SaaS marketing motion. The buying committee splits into two personas (clinical and admin) that respond to different content, meet in different venues, and convert on different time horizons. HIPAA restricts what can land in an ad pixel, in a marketing automation record, and in a retargeting audience. Attribution runs 9 to 18 months, which breaks every standard marketing dashboard tied to quarterly reporting. HIMSS, ViVE, and the AMA, HFMA, and ACHE conferences compress 60 percent of top-of-funnel into four windows a year. Every demand review lands on whether the pipeline the team sourced is going to close inside the 18-month attribution window the finance team already stopped counting. The six pains below are what every healthcare VP of marketing buyer call opens with. Strkr is HIPAA-aware for CRM and marketing use and is not HIPAA-certified for PHI storage, and the limit matters enough that it shows up again further down.

HIPAA-safe demand gen

A pixel fires with a hospital URL and now legal is involved.

A hospital browser session hits a landing page, the standard marketing tag stack fires five pixels against a Facebook, LinkedIn, Google, and TikTok cookie, and one of those pixels captures a URL containing a patient identifier from the hospital intranet. The privacy officer finds it six months later and the marketing team owns a disclosure. Standard marketing CRMs ignore the pixel-side risk entirely. Strkr ships a HIPAA-aware pixel policy with tenant-level block lists for high-risk destinations, inbound sync filters that strip URL fragments, a referrer-sanitization step before any CRM write, and admin-enforced lead-form schema that forbids free-text fields where PHI tends to leak.

Physician vs admin

The physician reads the clinical paper. The admin reads TCO.

A healthcare buying committee splits into two personas with wildly different content preferences. The physician reads the peer-reviewed clinical outcome paper and attends the medical society meeting. The hospital admin reads the three-year TCO case study and attends the HFMA panel. Standard marketing CRMs collapse both into a single contact object with a single lead score. Strkr tracks persona as a native field with persona-split lead scoring, persona-tagged campaigns, persona-tagged content assets, and dual-persona attribution so the leader reports which campaigns moved physicians and which moved admins without rebuilding the model each quarter.

18-month attribution

The lead the campaign sourced closes 15 months later.

A HIMSS booth meeting in March becomes a hospital evaluation in September, a committee review in February, a credentialing packet in May, and a signed contract in October 18 months later. Standard marketing CRMs stop attributing at 90 days and the board deck shows the campaign as a zero. Strkr runs native 18-month attribution with first-touch, last-touch, linear, and position-based models, holds campaign metadata on the deal record across stage transitions, and rolls up marketing-sourced ARR against the exact spend that ran 15 months earlier so the leader walks into the board review with the right curve on screen.

Conference compression

HIMSS, ViVE, HFMA, ACHE land 60 percent of top-of-funnel in four weeks.

HIMSS in March, ViVE in February, HFMA in June, and ACHE in March land 60 percent of a healthcare marketing team top-of-funnel into four conference weeks a year. The team scans 2,000 badges a week, loses track of which conversation went where, and six months later nobody can find the person who said yes at the booth. Strkr ships a conference object with pre-event target lists, badge-scan sync, booth-conversation tagging, follow-up cadences, and attribution per event so the next ViVE conversation starts with the LinkedIn-level context the team gathered last year.

Clinical-audience targeting

Targeting physicians without PII is like playing darts blind.

A healthcare marketing team cannot build a target audience by patient-population characteristics without crossing HIPAA. Clinical specialty, hospital role, publication history, society membership, and conference attendance are the signals that survive the privacy line. Standard marketing CRMs treat all these as free-text fields. Strkr ships a healthcare taxonomy with ICD-10 chapter aware specialty tagging, NPI-friendly contact enrichment, society-membership tagging (ACC, ASCO, HFMA, ACHE, SHM, ASA), hospital role hierarchy, and persona-driven audience building that gives the team a precise target without ever touching PHI.

Pipeline accountability

Sales says marketing leads are weak. Marketing says sales is slow.

The classic finger-point: sales attributes the quarterly miss to weak marketing-sourced leads, marketing attributes the miss to slow sales follow-up on strong leads. Standard marketing dashboards show MQL volume. Standard CRM pipeline reports show SAL conversion. Neither tells the leader which campaigns are producing deals that close. Strkr runs native marketing-sourced vs sales-sourced pipeline rollup with persona-split conversion rates, follow-up SLA tracking per lead, and a per-campaign pipeline waterfall from MQL to Closed Won on the 18-month attribution window so the demand review becomes a conversation about specific campaigns instead of a round of blame.

How Strkr fits a healthcare marketing leader week

The primitives healthcare marketing leaders actually use.

Strkr for healthcare marketing leaders is the same CRM every AE and SDR on the team runs, with VP-tier views layered on top for 18-month campaign attribution, dual-persona segmentation, conference planning, HIPAA-safe pixel policy management, and marketing-sourced pipeline rollup. Everything below ships on every paid tier with no premium marketing module gate. The primitives line up with the four jobs a healthcare VP of marketing repeats every week: run the demand pipeline review with CFO-grade attribution, run the dual-persona campaign calendar across the physician and admin audiences, run the conference planning cadence across the four annual tentpoles, and run the HIPAA-safe audience build for every new program.

18-month attribution

First, last, linear, position, on the deal record.

Every lead carries source, campaign, UTM, and medium metadata that stays on the record across every stage transition from MQL to Closed Won. The VP opens the attribution view and sees first-touch, last-touch, linear, and position-based attribution models side by side on the same 18-month pipeline window. The marketing-sourced ARR number rolls up against the exact spend that ran 15 months earlier instead of against a 90-day stub.

Dual-persona segmentation

Physician and admin, scored separately.

Persona lives as a native field with physician, admin, clinical operations, procurement, IT, legal, privacy, and economic buyer as default values. Lead scoring runs persona-split so a physician scoring 80 on clinical content and an admin scoring 80 on TCO content both feel real. Campaigns carry a target persona and the attribution rollup splits sourced ARR by persona so the leader reports which campaigns moved which audience.

HIPAA-safe pixel policy

Admin-enforced block list, referrer sanitization.

Admins set tenant-level block lists for high-risk ad destinations, enable URL-fragment stripping on inbound sync, enable referrer sanitization before any CRM write, and lock lead-form schema to structured fields that forbid free-text where PHI tends to leak. The pixel policy is enforced at the surface instead of trained on a slide, and the legal review sign-off at campaign launch becomes a 15-minute review instead of a two-week audit.

Conference planning

HIMSS, ViVE, HFMA, ACHE on one calendar.

A conference object tracks every event with target list, booth staff, scanner integration, follow-up cadence, and per-event attribution. The VP opens the conference calendar in October and sees the HIMSS prep tasks for March already queued, the ViVE target list from last year surfaced, the HFMA booth staffing drafted, and the ACHE panel sponsorship landed. The four annual tentpoles run on a shared ritual instead of a frantic prep cycle every quarter.

Clinical-audience taxonomy

Specialty, society, role, publication, no PII.

A healthcare taxonomy with ICD-10 chapter aware specialty tagging, NPI-friendly contact enrichment, society membership tagging (ACC, ASCO, HFMA, ACHE, SHM, ASA, AMA), hospital role hierarchy, and publication history gives the team precise audience targeting that survives the privacy line. The team builds a target list of 2,400 cardiologists at Vizient-member health systems without ever touching PHI.

Marketing-sourced pipeline

MQL to Closed Won on the 18-month window.

A marketing-sourced vs sales-sourced pipeline rollup splits every opportunity by original source with per-campaign conversion rates from MQL to SAL to SQL to Closed Won on the 18-month attribution window. The VP opens the Monday pipeline review and sees which three campaigns are producing deals that close and which two are producing MQLs that die in the funnel between SAL and SQL.

Sales follow-up SLA

MQL to first-touch SLA per rep, per campaign.

Every MQL carries a timestamp and the first-touch SLA runs against the owner rep. The VP opens the SLA board and sees which reps are responding inside the agreed window, which reps are drifting past 48 hours, and which campaigns are producing MQLs that get stuck in the SDR queue for a week. The marketing-vs-sales conversation becomes a specific pattern instead of a finger-point.

HIPAA-aware email policy

Templates that keep PHI out of marketing automation.

HIPAA-aware email templates with structured merge fields keep protected health information out of the automation record. Field-level warnings flag template body text that pattern-matches to a patient reference. Tenant-level filters strip inbound replies of PHI before writing to the record. The VP never gets pulled into an incident conversation because the posture is enforced at save. Strkr is HIPAA-aware for CRM and marketing use, not HIPAA-certified for PHI storage.

Flows for the healthcare marketing motion

The automations the VP should run before Monday.

The best healthcare marketing leaders automate the quiet administrative drag between campaign launch, lead routing, conference follow-up, and attribution reporting and spend their hours on the three programs and the two personas where leadership judgment moves the demand number. Strkr Flows cover the automations every healthcare marketing team should run as native triggers with no webhook plumbing between tools. The pattern below is what shows up in month two of every healthcare marketing deployment and compounds into a cleaner demand picture across the 18-month attribution window.

MQL to SDR routing

Persona-aware routing fires at MQL stage.

A lead hits MQL and Strkr fires a persona-aware routing flow: physician MQLs go to the clinical SDR pod with the clinical-content follow-up cadence, admin MQLs go to the admin SDR pod with the TCO follow-up cadence, and both get a first-touch SLA clock. The VP never finds a physician MQL in the admin queue drowning in a HFMA pricing email.

Pixel policy audit

Pre-launch review runs on every new campaign.

Every new campaign triggers a pre-launch flow that runs the pixel policy audit: checks landing page tag stack against the tenant block list, flags any inbound URL that captures a hospital intranet fragment, checks lead-form schema against the free-text PHI rules, and pings the legal reviewer with the finding. The 15-minute review replaces a two-week audit.

Conference follow-up

Day-1 and Day-3 cadences fire from the badge scan.

A badge scan at the HIMSS booth lands on the record with persona tag, conversation note, and booth staffer. Strkr fires a day-1 flow with a persona-split follow-up email and a day-3 flow with the next-step meeting invite. The 2,000 badges a week get into cadence inside 72 hours instead of six weeks later when a BDR finally works the backlog.

Attribution snapshot

Monday 7 AM, 18-month curve lands in the inbox.

A weekly attribution snapshot runs Monday 7 AM and lands in the VP inbox: first-touch, last-touch, linear, and position-based attribution on the 18-month pipeline window with marketing-sourced ARR, sales-sourced ARR, and sourced vs influenced split per campaign. The Monday staff meeting opens on the number instead of two hours of spreadsheet work.

SLA breach digest

First-touch SLA breaches surface to sales ops.

The flow watches MQL first-touch SLAs and the moment a lead crosses 48 hours without touch it pings the SDR, pings the SDR manager, and lands on the Monday sales-ops digest. The VP opens the SLA board and sees which pods and which campaigns are producing stuck MQLs, which turns the marketing-vs-sales finger-point into a specific coaching conversation.

Audience refresh

Quarterly rebuild on society membership, specialty.

Every quarter the taxonomy refresh flow pulls updated society membership, hospital role, and publication history onto the contact records and rebuilds every segmented audience. The team walks into the Q3 campaign kickoff with a 2,400-person cardiologist list that reflects moves and promotions since Q2 instead of a stale list from six months ago.

Program spend ROI

Spend-to-pipeline ratio per campaign, surfaced monthly.

The spend-to-pipeline flow runs monthly: for every campaign, pulls spend from the budget tracker, pulls sourced pipeline from the attribution rollup on the 18-month window, computes spend-to-pipeline ratio, and surfaces the three best and three worst programs with the specific signal driving each result. The next quarter budget conversation starts on specific programs instead of a round of hunches.

The compliance limit, said plainly

What Strkr is and is not for healthcare marketing use.

Any healthcare marketing leader evaluating a CRM has one question in front of every other question. Can the tool store protected health information. Strkr is HIPAA-aware for CRM and marketing use and is not HIPAA-certified for PHI storage, and the shape of that limit matters enough to put at the center of the page instead of in a footnote.

What Strkr is

HIPAA-aware CRM for the marketing motion.

Strkr is a CRM designed for a healthcare marketing motion with HIPAA-aware primitives. Lead-form schema that forbids free-text PHI leakage. Field-level warnings on inbound email replies. Tenant-level auto-redact filters on URL fragments and referrers. Admin-enforced pixel policy with high-risk destination block lists. The posture trains the behavior that keeps the marketing org on the right side of the privacy officer at every hospital it targets.

What Strkr is not

Not HIPAA-certified for PHI storage.

Strkr is not HIPAA-certified for storing protected health information and does not sign a Business Associate Agreement that covers CRM contents as a PHI data store. Clinical records, patient identifiers, chart excerpts, and any other PHI must stay in an EHR or a HIPAA-certified system of record. If the marketing use case requires PHI in the CRM or in the marketing automation record, Strkr is not the fit, and the honest answer up front saves the sales cycle for both sides.

Where the line sits

CRM contents belong to the marketing motion.

Strkr holds hospital account records, physician and admin contact records with society membership and specialty metadata, campaign records, event records, lead scores, attribution metadata on every deal, UTM parameters, landing page views, and marketing engagement signals. None of that is PHI. The daily motion stays clean as long as the lead-form schema forbids free-text where PHI tends to leak, and the admin surfaces enforce the shape.

If PHI is in scope

The right stack is an EHR plus Strkr.

Healthcare SaaS and medical device vendors whose product itself touches PHI run the clinical workflow inside the EHR or a dedicated HIPAA-certified platform and run the marketing motion in Strkr. The two layers stay separate and the marketing team gets the CRM it needs without pulling the clinical system into a demand-gen context it was not built for.

How the policy ships

Admin controls make the posture enforceable.

Admins turn on the tenant-level pixel block list, enable the URL-fragment stripping on inbound sync, enable referrer sanitization, lock the lead-form schema to structured fields, publish the HIPAA-aware email templates, and set the free-text warning filter on every CRM surface. The policy is not a training slide. The posture is enforced by the surface the team touches every day, which keeps the VP out of incident reviews that start with a pixel from six months ago.

Audit trail

Every access, every change, every pixel event, logged.

Every record read, every field edit, every lead-form submission, every pixel event, and every email template save writes an audit entry with user, timestamp, IP, and the specific change. The privacy officer at a hospital running CRM due diligence six months after the campaign gets a clean export instead of a shrug, and the marketing team never has to reconstruct who touched what from Slack scrollback.

Head-to-head

Strkr for healthcare marketing leaders vs the Marketo and Health Cloud stack.

A typical healthcare marketing organization runs Salesforce Health Cloud for the CRM shell, Marketo for the marketing automation, Bizible or 6sense alongside for attribution, Veeva Approved Email for life sciences compliance, a shared drive for BAA artifacts, a BI tool for the attribution waterfall, and a per-event badge scanner that exports to CSV. Strkr collapses most of that into one workspace with one admin surface and one record of truth per healthcare contact.

What matters Strkr Marketo and Health Cloud
Attribution window Native 18-month window with first, last, linear, position-based models on the deal record 90-day attribution stub, campaign-to-close curves rebuilt in a BI tool every quarter
Physician vs admin persona Native persona field with persona-split lead scoring, campaign tagging, and attribution rollup Single contact object with a single lead score, personas collapsed into free-text
HIPAA-safe pixel policy Admin-enforced block list, URL-fragment stripping, referrer sanitization, lead-form schema lock No pixel-side controls, legal review runs a two-week audit before every campaign
Conference planning Native conference object with target list, booth staff, scanner sync, follow-up cadence, event attribution Per-event scanner CSV plus a shared drive, follow-up starts six weeks after the event
Clinical-audience taxonomy ICD-10 aware specialty tagging, society membership, hospital role, publication history, no PII Free-text specialty field, society membership in a side spreadsheet, audience rebuild every quarter
Marketing-sourced pipeline rollup MQL to Closed Won waterfall per campaign on the 18-month window with persona-split conversion MQL volume dashboard plus a sales pipeline report, no shared view, no persona split
MQL to first-touch SLA Per-rep, per-campaign SLA board with breach alerts and Monday ops digest MQL hands off to CRM, SLA tracking lives in a Chrome extension nobody deploys consistently
HIPAA-aware email policy Templates with structured merge fields, field-level PHI warnings, inbound auto-redact Standard email tool with a training deck, PHI leakage on reply paths unmonitored
PHI storage Not supported. CRM and marketing use only. PHI stays in the EHR or a HIPAA-certified system of record Health Cloud markets PHI support behind a BAA, adds complexity and cost to the marketing CRM
Program spend ROI Monthly spend-to-pipeline ratio per campaign on the 18-month attribution window Spreadsheet rebuild every quarter, program ROI calculations lag the budget review by three weeks
Admin seat requirement Marketing ops generalist runs the admin surface Certified Marketo admin plus certified Health Cloud admin plus a Veeva admin
Monthly cost per seat (marketing stack) One per-seat line, see pricing page Five to seven per-seat lines stacked plus admin headcount plus BI seat

See the CRM healthcare marketing leaders run demand from.

Start a 14-day trial with the full healthcare marketing leader stack enabled. Hospital and parent-IDN hierarchy on every account. Physician and admin persona split with persona-aware lead scoring, campaign tagging, and attribution rollup. 18-month attribution window with first, last, linear, and position-based models on the deal record. HIPAA-safe pixel policy with admin-enforced block lists, URL-fragment stripping, and referrer sanitization. Conference planning across HIMSS, ViVE, HFMA, and ACHE with per-event attribution. Clinical-audience taxonomy with ICD-10 aware specialty tagging, society membership, and hospital role hierarchy. Marketing-sourced vs sales-sourced pipeline rollup with per-campaign conversion rates. MQL first-touch SLA board with breach alerts. Monthly spend-to-pipeline ratio per campaign. HIPAA-aware email templates and admin-enforced auto-redact on email sync. One bill, one workspace, one record of truth per healthcare contact. The pricing page lays out the per-seat line in full, and the sales-forecast feature page shows the attribution rollup in detail. Strkr is HIPAA-aware for CRM and marketing use and is not HIPAA-certified for PHI storage. If the marketing use case requires PHI in the CRM, Strkr is not the fit, and the honest answer up front saves the sales cycle for both sides.

See pricing Explore the forecast
Common questions

Healthcare Marketing Leaders buyer FAQ.

Can we store protected health information in Strkr?

No. Strkr is not HIPAA-certified for storing protected health information and does not sign a Business Associate Agreement that covers CRM or marketing automation contents as a PHI data store. The product is designed for the marketing motion only. Hospital account records, physician and admin contact records with society membership and specialty metadata, campaign records, event records, lead scores, attribution metadata on every deal, UTM parameters, landing page views, and marketing engagement signals are the shape of the CRM content. Patient identifiers, chart excerpts, and any other PHI must stay in an EHR or a HIPAA-certified system of record. If the marketing use case requires PHI in the CRM or in the marketing automation record, Strkr is not the right fit, and the honest answer up front saves the sales cycle for both sides.

How does Strkr prevent PHI from leaking into ad pixels and the marketing automation record?

Admins set tenant-level block lists for high-risk ad destinations, enable URL-fragment stripping on inbound sync so a hospital intranet URL that captures a patient identifier never writes to a record, enable referrer sanitization before any CRM write, and lock the lead-form schema to structured fields that forbid the free-text boxes where PHI tends to leak. HIPAA-aware email templates use structured merge fields with field-level warnings that flag any template body text pattern-matching a patient reference. Tenant-level filters strip inbound email replies of PHI before writing to the record. A pre-launch flow runs the pixel policy audit on every new campaign: checks the landing page tag stack against the tenant block list, flags any inbound URL that captures a hospital intranet fragment, checks lead-form schema against the free-text PHI rules, and pings the legal reviewer with the finding. The 15-minute pre-launch review replaces a two-week audit, and the privacy officer at a hospital running six-month due diligence gets a clean export instead of a shrug.

How does the physician vs admin dual-persona model work?

Persona lives as a native field on every contact and lead with physician, admin, clinical operations, procurement, IT, legal, privacy, and economic buyer as default values plus custom values per tenant. Lead scoring runs persona-split so a physician scoring 80 on clinical content (peer-reviewed paper downloaded, medical society webinar attended, clinical case study time-on-page over 90 seconds) and an admin scoring 80 on TCO content (three-year TCO calculator run, HFMA panel attended, admin case study downloaded) both feel real inside the same scoring framework. Campaigns carry a target persona and the attribution rollup splits sourced ARR by persona so the VP reports which campaigns moved physicians, which moved admins, and where the two personas combined inside the same account. A persona-aware MQL routing flow sends physician MQLs to the clinical SDR pod with the clinical follow-up cadence and admin MQLs to the admin SDR pod with the TCO follow-up cadence so the first touch arrives in the right language.

How does 18-month attribution actually work on the deal record?

Every lead carries source, campaign, UTM, and medium metadata that stays on the record across every stage transition from MQL to SAL to SQL to Closed Won. The attribution engine runs first-touch, last-touch, linear, and position-based models side by side on the same 18-month pipeline window so a HIMSS booth meeting in March that becomes a signed contract in October 18 months later credits correctly. The VP opens the attribution view and sees sourced ARR vs influenced ARR per campaign on the 18-month window with persona-split conversion rates from MQL to Closed Won. A weekly attribution snapshot runs Monday 7 AM and lands in the inbox with the full curve so the Monday staff meeting opens on the number instead of two hours of spreadsheet reconciliation. The marketing-sourced ARR number rolls up against the exact spend that ran 15 months earlier instead of against a 90-day stub that undercounts every real campaign.

How does Strkr handle HIMSS, ViVE, HFMA, and ACHE conference planning?

A conference object tracks every event with pre-event target list, booth staffing roster, scanner integration, badge-scan sync, booth-conversation tagging, follow-up cadences, and per-event attribution. The VP opens the conference calendar in October and sees the HIMSS prep tasks for March already queued, the ViVE target list from last year surfaced for refresh, the HFMA booth staffing drafted, and the ACHE panel sponsorship landed. A day-1 flow fires on every badge scan with a persona-split follow-up email and a day-3 flow fires with the next-step meeting invite so the 2,000 badges a week get into cadence inside 72 hours instead of six weeks later. Per-event attribution rolls into the 18-month window so the VP walks into the next ViVE budget conversation with the specific sourced ARR from last year on screen. The four annual tentpoles run on a shared ritual instead of a frantic prep cycle every quarter.

Can Strkr replace Marketo and Bizible for a healthcare marketing team?

For most healthcare SaaS, medical device, and health system vendor marketing teams running demand-gen into hospital, IDN, and provider group accounts where the CRM holds the marketing motion and not the clinical record, yes. Strkr covers hospital account records with parent-IDN hierarchy, physician and admin contact records with society membership and clinical specialty metadata, campaign records with 18-month attribution across first, last, linear, and position-based models, event records with HIMSS, ViVE, HFMA, ACHE native tracking, lead scoring split by persona, HIPAA-safe pixel policy with admin-enforced block lists and URL-fragment stripping, HIPAA-aware email templates with field-level warnings, persona-aware MQL routing flows, MQL first-touch SLA tracking, marketing-sourced vs sales-sourced pipeline rollup, monthly spend-to-pipeline ratio per campaign, quarterly audience refresh on society and specialty metadata, and Gmail and Microsoft 365 sync with auto-redact. For teams whose product itself touches PHI inside the CRM record, Health Cloud or another HIPAA-certified platform is the right place for the clinical layer, and Strkr handles the marketing motion alongside it. The admin surface is designed for a marketing ops generalist instead of a certified Marketo admin plus a Bizible admin plus a Health Cloud admin.

Also considering

Related combinations.

For Healthcare Sales Leaders For Healthcare Marketing Managers For Healthcare Account Executives For Healthcare RevOps For Enterprise Marketing Leaders For Mid-Market Marketing Leaders

Try it free. Bring your team next week.

No sales call, no migration consultant, no four-month implementation. Enter your card, get 14 days of the full Pro tier, cancel any time before day 14 with zero charge. Spin up a workspace, import your CSV, and have something useful before lunch.

Start free trial See pricing