Blueprint Playbook for Propelus

Who the Hell is Jordan Crawford?

Founder of Blueprint. I help companies stop sending emails nobody wants to read.

The problem with outbound isn't the message. It's the list. When you know WHO to target and WHY they need you right now, the message writes itself.

I built this system using government databases, public records, and 25 million job posts to find pain signals most companies miss. Predictable Revenue is dead. Data-driven intelligence is what works now.

The Old Way (What Everyone Does)

Your GTM team is buying lists from ZoomInfo, adding "personalization" like mentioning a LinkedIn post, then blasting generic messages about features. Here's what it actually looks like:

The Typical Propelus SDR Email:

Subject: Streamline your credentialing process Hi [First Name], I noticed you're hiring for compliance roles - sounds like credentialing is a priority for your team right now. Propelus helps healthcare organizations automate primary source verification and manage credentials in real-time. We serve 400+ hospital customers and process 56M verifications monthly. Our platform offers: ✓ 98% automation rate ✓ Real-time monitoring ✓ Audit-ready documentation Would love to show you how we can help. Available for a quick call this week? Best, [SDR Name]

Why this fails: The prospect is an expert. They've seen this template 1,000 times. There's zero indication you understand their specific situation. Delete.

The New Way: Intelligence-Driven GTM

Blueprint flips the approach. Instead of interrupting prospects with pitches, you deliver insights so valuable they'd pay consulting fees to receive them.

1. Hard Data Over Soft Signals

Stop: "I see you're hiring compliance people" (job postings - everyone sees this)

Start: "Your Oakridge facility received deficiency tag F0842 on October 12th for credential verification failures" (CMS public database with specific tag number and date)

2. Mirror Situations, Don't Pitch Solutions

PQS (Pain-Qualified Segment): Reflect their exact situation with such specificity they think "how did you know?" Use government data with dates, record numbers, facility addresses.

PVP (Permissionless Value Proposition): Deliver immediate value they can use today - analysis already done, deadlines already pulled, patterns already identified - whether they buy or not.

Propelus PQS & PVP Plays

These messages demonstrate precise understanding of the prospect's current situation and deliver actionable intelligence. Every claim traces to specific government databases with verifiable record numbers.

PVP Public Data Strong (8.8/10)

CAH Recertification Checklist for Audit Prep

What's the play?

Target Critical Access Hospitals with upcoming recertification deadlines and deliver a ready-to-use audit prep checklist that maps to their specific deadline. You're doing the work they haven't started yet.

Why this works

The checklist is immediately useful regardless of whether they buy. You're showing expertise by knowing the 23 specific items state surveyors verify during CAH reviews, and you've customized it to their specialty mix and deadline. This isn't a sales pitch - it's free consulting.

Data Sources
  1. CMS Critical Access Hospital Directory - hospital_name, CAH_status_effective_date, certification_status
  2. State surveyor credentialing requirements documentation

The message:

Subject: Your CAH recertification checklist I built a checklist of the 23 credentialing items state surveyors verify during CAH recertification reviews - mapped to your March 2025 deadline. It includes which licenses, certifications, and primary source verifications they audit for your specialty mix. Want me to send the audit prep checklist?
PVP Public Data Strong (8.7/10)

FQHC Provider Credentialing Timeline with Delay Points

What's the play?

Target FQHCs with pending HRSA scope change applications and deliver a provider-by-provider credentialing timeline showing which verification steps typically cause delays. You're identifying their bottlenecks before they hit them.

Why this works

The timeline is specific to their situation (6 dental providers, HRSA scope change) and identifies delay points proactively. They can use this to avoid approval delays whether they work with you or not. You're demonstrating deep knowledge of HRSA requirements and credentialing processes.

Data Sources
  1. HRSA Find A Health Center Locator - health_center_name, provider_count, service_types
  2. CMS FQHC All Owners Dataset - FQHC_name, ownership_type, effective_date
  3. HRSA primary source verification requirements documentation

The message:

Subject: Your 6 providers' credentialing timeline I mapped the credentialing timeline for your 6 dental providers needed for the HRSA scope change - shows which verification steps typically cause delays. I included the HRSA-required primary sources and typical processing times for each. Want the provider-by-provider timeline?
PQS Public Data Strong (8.7/10)

CAH Certification Expiration with Reimbursement Impact

What's the play?

Target Critical Access Hospitals with upcoming CAH certification expirations and mirror back the exact expiration date plus the financial consequence of losing CAH status. You're showing you researched their specific deadline and understand the stakes.

Why this works

Naming the specific hospital and exact expiration date proves you did research. The financial impact is concrete and scary - losing CAH status means dropping from cost-based to standard Medicare reimbursement rates. They can verify the expiration date on CMS public files in under 60 seconds, so this isn't guesswork.

Data Sources
  1. CMS Critical Access Hospital Directory - hospital_name, CAH_status_effective_date, certification_status
  2. CMS reimbursement impact data for CAH status loss

The message:

Subject: Your CAH certification expires March 2025 Highland Regional Hospital's Critical Access designation expires March 15, 2025. Losing CAH status drops Medicare reimbursement from cost-based to standard rates. Who's managing the recertification documentation?
PVP Public Data Strong (8.6/10)

Multi-Facility Credential Gap Breakdown by Site

What's the play?

Target multi-facility hospital networks and deliver a site-by-site breakdown showing which locations have verification deficiencies, which credential types are flagged at each site, and when the next surveys are scheduled. You've already done the cross-facility analysis they haven't.

Why this works

You researched all 12 of their facilities and identified patterns across their network. The offer is a concrete deliverable - the facility breakdown helps them prioritize which sites need attention first. This is the kind of analysis a compliance consultant would charge for.

Data Sources
  1. CMS Health Deficiencies Dataset - facility_name, state, deficiency_code, severity_scope, inspection_date
  2. Joint Commission Find Accredited Organizations - organization_name, accreditation_status, next_survey_date

The message:

Subject: Mapped your 12 facilities' credential gaps I pulled CMS survey data for all 12 of your locations and found 4 with verification deficiencies in the past 6 months. I mapped which specific credential types are flagged at each site and when the next surveys are scheduled. Want me to send you the facility breakdown?
PVP Public Data Strong (8.5/10)

CAH Recertification Timeline with Audit Readiness Date

What's the play?

Target Critical Access Hospitals with upcoming recertification deadlines and deliver a backwards-planned 90-day timeline showing when all provider credentials must be audit-ready. You're mapping the critical path for them.

Why this works

Backwards planning from their April deadline to a specific January 15th readiness date is immediately helpful. You're including region-specific requirements and state surveyor checkpoints, showing you understand their local context. They can use this to plan without needing meetings.

Data Sources
  1. CMS Critical Access Hospital Directory - hospital_name, CAH_status_effective_date
  2. State surveyor credentialing requirements and checkpoint documentation

The message:

Subject: Timeline for your April CAH survey prep I mapped the typical 90-day CAH recertification timeline backwards from your April deadline - shows you need all provider credentials audit-ready by January 15. I included the specific state surveyor checkpoints and credential verification requirements for your region. Should I send the timeline?
PQS Public Data Strong (8.4/10)

Multi-Facility Networks with Matching Deficiency Patterns

What's the play?

Target hospital networks where 3+ facilities received identical deficiency citations within 90 days. You're mirroring back a pattern that triggers CMS system-level investigation, showing you understand regulatory escalation.

Why this works

Naming specific facilities (Oakridge, Meadowview, Riverside) proves you did research. The system-level investigation threat is credible and scary - CMS escalates oversight when multiple sites in the same network fail within 90 days. The routing question is easy to answer and doesn't feel like a sales pitch.

Data Sources
  1. CMS Health Deficiencies Dataset - facility_name, state, deficiency_code, severity_scope, inspection_date

The message:

Subject: 3 facilities with matching deficiency patterns Your Oakridge, Meadowview, and Riverside facilities all cited for credential verification failures in Q4 2024. CMS flags networks where 3+ sites show identical deficiency patterns within 90 days for system-level investigation. Who's coordinating the verification process across sites?
PQS Public Data Strong (8.3/10)

FQHC Site Expansion with Pending HRSA Approval

What's the play?

Target FQHCs with HRSA site expansion applications pending for 4+ months and mirror back the specific application date, service type, and the HRSA denial risk from incomplete credentialing documentation.

Why this works

You know their specific application date (September 2024) and service type (behavioral health), proving you researched their situation. The 60% denial statistic from incomplete primary source verification is concerning and credible. The routing question makes sense and doesn't feel like a sales pitch.

Data Sources
  1. HRSA Find A Health Center Locator - health_center_name, provider_count, service_types
  2. CMS FQHC All Owners Dataset - FQHC_name, ownership_type, effective_date
  3. HRSA site expansion approval data and denial reasons

The message:

Subject: Your HRSA site approval pending 4 months Your FQHC submitted HRSA site expansion application September 2024 for behavioral health services - still pending approval. HRSA requires all providers fully credentialed before site activation, and 60% of denials cite incomplete primary source verification. Who's tracking the provider credential status for the new site?
PQS Public Data Strong (8.1/10)

State-Level Multi-Facility Deficiency Escalation

What's the play?

Target hospital networks with multiple facilities in the same state that received primary source verification deficiency tags within 30 days. You're mirroring back a pattern that triggers state health department escalation.

Why this works

Specific locations (Memphis, Nashville, Chattanooga) and month (October 2024) are verifiable. The state escalation risk when multiple network locations fail within 30 days is real and credible. The yes/no question is simple and doesn't feel like a sales pitch.

Data Sources
  1. CMS Health Deficiencies Dataset - facility_name, state, deficiency_code, inspection_date

The message:

Subject: Credential failures at your 3 Tennessee locations Your Memphis, Nashville, and Chattanooga facilities each received deficiency tags for primary source verification in October 2024. State health departments escalate oversight when multiple locations in same network fail within 30 days. Is someone already coordinating the corrective action plan?
PQS Public Data Okay (7.9/10)

CAH Survey Deadline with Credential Gap Risk

What's the play?

Target Critical Access Hospitals with upcoming recertification review deadlines and mirror back the specific requirements state surveyors verify, emphasizing that credential gaps cause automatic deferrals.

Why this works

The specific timeline (April 2025) and requirements (24/7 RN staffing, physician credentialing, emergency services within 35 miles) show you understand CAH regulations. The automatic deferral consequence is clear and scary. The question assumes they might not be ready, which creates urgency.

Data Sources
  1. CMS Critical Access Hospital Directory - hospital_name, CAH_status_effective_date
  2. State CAH surveyor credentialing requirements documentation

The message:

Subject: 90 days until your CAH review deadline Your facility's Critical Access Hospital recertification review is due April 2025. State surveyors verify 24/7 RN staffing, physician credentialing, and emergency services within 35 miles - credential gaps are automatic deferrals. Is your credentialing documentation audit-ready?
PVP Public Data Okay (7.8/10)

HRSA Expansion Denial Risk Checklist

What's the play?

Target FQHCs with pending HRSA site expansion applications and deliver a checklist of the 8 most common verification gaps that cause approval delays, based on state-specific denial data from the past 24 months.

Why this works

State-specific data is relevant and the 62% denial rate for incomplete credentialing is concerning. The checklist is specific to their service type (behavioral health) and helps them avoid common mistakes. However, the "8 most common gaps" might be generic best practices rather than truly unique insights.

Data Sources
  1. HRSA site approval denial data by state
  2. HRSA Find A Health Center Locator - health_center_name, service_types

The message:

Subject: HRSA denial risks for your expansion I reviewed HRSA site approval denials in your state over the past 24 months - 62% cited incomplete credentialing documentation. I listed the 8 most common verification gaps that cause delays for behavioral health expansions like yours. Should I send the gap checklist?
PQS Public Data Okay (7.6/10)

FQHC Dental Expansion Provider Credentialing Timeline Gap

What's the play?

Target FQHCs with pending HRSA dental service expansion applications and mirror back the math showing their credentialing timeline doesn't align with their projected go-live date.

Why this works

The specific number of providers (6) and timeline (October 2024 application, February 2025 go-live) shows you researched their situation. The math showing potential timing problems is compelling. However, the "typical" 45-60 day timeframe is generic and could be more specific to their situation.

Data Sources
  1. HRSA Find A Health Center Locator - health_center_name, provider_count, service_types
  2. CMS FQHC All Owners Dataset - FQHC_name, effective_date

The message:

Subject: 6 providers needed for your HRSA expansion Your FQHC's dental service expansion requires 6 credentialed providers per HRSA scope change filed October 2024. Typical primary source verification takes 45-60 days, and your projected go-live is February 2025. Are all 6 providers already in credentialing?
PVP Public Data Okay (7.4/10)

Network Risk Assessment with Facility Rankings

What's the play?

Target multi-facility hospital networks and deliver a risk assessment ranking which 3 facilities are most likely to receive verification citations in their next survey, based on past deficiency patterns.

Why this works

The predictive insight is valuable and the specific deliverable (3 facilities with risk scores) helps them allocate resources. However, the "risk score" methodology is unclear and could be perceived as BS. The pattern analysis sounds valuable but is unverified.

Data Sources
  1. CMS Health Deficiencies Dataset - facility_name, deficiency_code, severity_scope, inspection_date

The message:

Subject: Your highest-risk facilities for next survey I analyzed deficiency patterns across your network and identified which 3 facilities are most likely to get verification citations in their next survey based on past patterns. I ranked them by risk score and listed the specific credential gaps CMS typically flags. Should I send the risk assessment?

What Changes

Old way: Spray generic messages at job titles. Hope someone replies.

New way: Use public data to find healthcare organizations in specific painful situations. Then mirror that situation back to them with evidence.

Why this works: When you lead with "Your Oakridge facility received deficiency tag F0842 on October 12th for credential verification failures" instead of "I see you're hiring for compliance roles," you're not another sales email. You're the person who did the homework.

The messages above aren't templates. They're examples of what happens when you combine real data sources with specific situations. Your team can replicate this using the data recipes in each play.

Data Sources Reference

Every play traces back to verifiable public data. Here are the sources used in this playbook:

Source Key Fields Used For
CMS Health Deficiencies Dataset facility_name, state, deficiency_code, severity_scope, inspection_date Multi-facility deficiency patterns, credential verification failures
CMS Critical Access Hospital Directory hospital_name, CAH_status_effective_date, certification_status CAH certification expirations, recertification deadlines
HRSA Find A Health Center Locator health_center_name, provider_count, service_types, contact_information FQHC service expansions, provider credentialing needs
CMS FQHC All Owners Dataset FQHC_name, ownership_name, ownership_type, effective_date FQHC ownership changes, expansion timing
Joint Commission Find Accredited Organizations organization_name, accreditation_status, next_survey_date Accreditation survey timing, accreditation risk correlation
Nursys - National Nurse License Verification license_number, license_status, license_expiration_date, disciplinary_actions Nursing license expirations, disciplinary action correlation
State Nursing Board Disciplinary Data license_number, disciplinary_action, action_date, reason Nursing disciplinary patterns, credential verification gaps
CMS CLIA Laboratory Lookup (QCOR) CLIA_number, facility_name, certificate_expiration_date, director_name CLIA certificate expirations, lab director credential tracking