Blueprint Playbook for Protos Group

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 Protos Group SDR Email:

Subject: Expert Due Diligence for Your Next Project Hi [First Name], I noticed your company is involved in infrastructure projects and wanted to reach out. At Protos, we've been delivering independent technical advisory and due diligence services for over 35 years. Our multidisciplinary team helps organizations like yours reduce risk and accelerate decision-making across real estate, energy, and infrastructure transactions. Would you be open to a quick call to discuss how we can support your upcoming projects? Best regards, [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 facility at 1234 Industrial Pkwy received EPA violation #2024-XYZ on March 15th" (government database with record number)

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.

About Protos Group

Company: Protos Group

Core Problem: Complex projects and strategic initiatives create operational bottlenecks for enterprises—companies need third-party validation, expert advisory, and data remediation to reduce risk, accelerate decision-making, and ensure compliance across real estate, infrastructure, and financial transactions.

Target ICP: Large enterprises and institutional investors (EUR 100M+ in assets) in financial services, insurance, real estate, energy, and infrastructure sectors making high-stakes investment decisions, M&A transactions, or managing complex project portfolios requiring independent technical validation and due diligence.

Primary Persona: Investment Director / Head of Due Diligence / Risk Assessment Manager responsible for evaluating complex asset acquisitions, assessing investment risks, validating technical and environmental feasibility, and ensuring regulatory compliance in financial transactions.

Protos Group PVP Plays: Delivering Immediate Value

These messages provide actionable intelligence before asking for anything. The prospect can use this value today whether they respond or not.

PVP Public Data Strong (8.9/10)

Funding Roadmap for Compliance Gaps

What's the play?

Target municipal water systems with documented SDWA violations and visible budget constraints. Map specific grant programs with deadlines and match requirements to close their funding gap.

Why this works

You're solving their biggest problem (funding) before they ask. The specificity of knowing their exact budget gap and providing concrete grant programs with deadlines demonstrates you've done the work they haven't had time to do.

Data Sources
  1. SDWIS - water_system_name, violation_history, compliance_record
  2. Municipal budget records - capital allocation for water infrastructure
  3. EPA and state grant program databases - application deadlines, match requirements

The message:

Subject: Funding options for your $890K compliance gap Your Lakeside system needs $1.2M for SDWA compliance but has $310K budgeted - I mapped 6 EPA and state grant programs accepting applications in Q2 2025. Includes deadlines, match requirements, and contacts. Want the funding roadmap?
PVP Public Data Strong (8.7/10)

Developer Pipeline for Brownfield Sites

What's the play?

Target brownfield site owners with active EPA cleanup funding. Cross-reference zoning records to identify developers filing permits nearby, then deliver complete contact list with project timelines.

Why this works

You're providing transaction intelligence they can't easily compile themselves. Knowing which developers are circling their property and when helps them time asset disposition for maximum value.

Data Sources
  1. ACRES - site_location, funding_amount, cleanup_phase
  2. Municipal zoning records - variance requests, permit filings, developer contacts
  3. Commercial real estate project databases - development timelines

The message:

Subject: Developer contacts for your 847 Industrial site I found 4 commercial developers who filed zoning requests within 1,000 feet of your 847 Industrial Boulevard cleanup site in the past 90 days. Includes contact info and their project timelines. Want the list?
PVP Public + Internal Strong (8.6/10)

Regional Remediation Cost Benchmarks

What's the play?

Target power utilities with aging substations facing EPA violations. Compare their facilities against regional remediation projects you've tracked, showing actual costs, timelines, and contractor performance.

Why this works

Budget validation is critical for infrastructure projects. Showing them actual cost data from similar facilities helps them validate internal estimates and justify capital requests to executives.

Data Sources
  1. EIA-860 - plant_location, in_service_date, nameplate_capacity
  2. EPA ECHO - violation_type, enforcement_action
  3. Internal remediation project database - actual costs, timelines, contractor performance

The message:

Subject: Your substations vs. regional compliance costs I compared your 3 aging substations against 12 similar facilities in the region that completed EPA remediation in 2023-2024. Shows actual costs, timelines, and which contractors delivered on budget. Want the benchmark report?
DATA REQUIREMENT

This play requires aggregated remediation project data from 12+ similar facilities showing actual costs, completion timelines, and contractor performance outcomes.

This is proprietary data only you have - competitors cannot replicate this play.
PVP Public Data Strong (8.5/10)

Sequential Risk Analysis for Aging Infrastructure

What's the play?

Target utilities with multiple aging substations showing EPA violations. Compile violation history, transformer age data, and remediation cost estimates into a prioritized risk analysis.

Why this works

Infrastructure operators face capital allocation decisions across multiple facilities. Showing them the sequential risk if facilities aren't addressed in priority order helps them make strategic investment decisions.

Data Sources
  1. EPA ECHO - facility_name, violation_type, enforcement_action, penalty_amount
  2. EIA-860 - plant_location, in_service_date, environmental_equipment
  3. EPA remediation cost databases - estimated remediation costs by violation type

The message:

Subject: Substation inspection reports for 3 aging facilities I pulled together the EPA violation history, transformer age data, and remediation cost estimates for your Monroe Street, Westside, and Oak Hill substations. It shows the sequential risk if these aren't addressed in priority order. Want me to send the analysis?
PVP Public Data Strong (8.4/10)

Critical Path Timeline for Wetlands Permits

What's the play?

Target renewable energy projects with approved zoning but missing wetlands permits. Build critical path timeline showing Corps review stages, typical delays, and specialists who can accelerate assessment.

Why this works

Project developers face timeline uncertainty with wetlands permitting. Providing realistic scenarios (Q1 2026 vs Q3 2026) and specialist contacts helps them plan construction schedules and identify acceleration opportunities.

Data Sources
  1. Municipal zoning records - approved permits, filing dates
  2. Army Corps of Engineers permit database - wetlands permit status
  3. Historical Corps review timelines - average review duration by region

The message:

Subject: Permit timeline for Sunrise Solar wetlands I built a critical path timeline for your Sunrise Solar wetlands permit - includes Corps review stages, typical delays, and the 3 specialists who can accelerate assessment. Shows realistic Q1 2026 vs. Q3 2026 scenarios. Want the timeline?
PVP Public + Internal Strong (8.3/10)

Optimal Transaction Timing Model

What's the play?

Target brownfield site owners with active cleanup funding. Model optimal transaction timing based on cleanup milestone tracking and developer interest cycles to maximize asset value.

Why this works

Real estate investors want to maximize ROI. Showing them when to engage buyers based on cleanup progress and market timing helps them capture peak valuation and avoid premature transactions.

Data Sources
  1. ACRES - cleanup_phase, funding_amount, remediation_approach
  2. Zoning and development activity - developer permit filings, market interest indicators
  3. Internal transaction outcome data - valuation achieved relative to cleanup stage

The message:

Subject: Transaction timing model for 847 Industrial I modeled the optimal transaction timing for your 847 Industrial site based on cleanup milestones and developer interest cycles. Shows when to engage buyers for maximum value. Want the timing analysis?
DATA REQUIREMENT

This play requires historical transaction outcome data showing asset valuations achieved at different cleanup stages and market timing conditions.

This is proprietary data only you have - competitors cannot replicate this play.

Protos Group PQS Plays: Mirroring Exact Situations

These messages demonstrate such precise understanding of the prospect's current situation that they feel genuinely seen. Every claim traces to a specific government database with verifiable record numbers.

PQS Public Data Strong (8.6/10)

Brownfield Cleanup Adjacent to New Development

What's the play?

Target brownfield sites receiving EPA cleanup funding that are adjacent to new commercial development projects. The timing coordination between cleanup and development creates urgency.

Why this works

The specificity (exact address, exact grant amount, exact date, adjacent development) proves you understand their unique situation. The question about coordination timing is relevant and easy to answer.

Data Sources
  1. ACRES - site_location, funding_amount, grant_recipient
  2. Municipal development permits - adjacent projects, construction timelines

The message:

Subject: Your 847 Industrial Blvd cleanup funded for $2.1M 847 Industrial Boulevard received $2.1M EPA Brownfield Grant on February 12th for soil remediation. Site is adjacent to the new Riverside Commons development breaking ground in May 2025. Is your team coordinating cleanup timing with the developers?
PQS Public Data Strong (8.4/10)

Aging Substation with EPA Violations and Deadline

What's the play?

Target specific power substations with recent EPA violations and imminent compliance deadlines. The combination of facility specifics, violation details, and penalty exposure creates urgency.

Why this works

Naming the exact facility, violation count, inspection date, and penalty structure proves you've done research. The compliance deadline creates time pressure and the easy routing question allows a quick response.

Data Sources
  1. EPA ECHO - facility_name, violation_date, violation_type, penalty_amount
  2. EIA-860 - plant_location, in_service_date

The message:

Subject: Your Monroe Street substation filed 4 EPA violations Monroe Street substation (built 1987) shows 4 open EPA violations from the March 2024 inspection. PCB transformer leaks plus soil contamination trigger mandatory remediation by June 30th or face $45,000/day penalties. Is someone already managing the remediation deadline?
PQS Public Data Strong (8.3/10)

Water System with Violations and Budget Gap

What's the play?

Target municipal water systems with multiple SDWA violations and visible budget constraints. The gap between remediation costs and available budget creates immediate pain.

Why this works

Quantifying the exact funding gap ($1.2M need vs $310K budget) demonstrates financial awareness. The easy routing question allows them to respond without commitment.

Data Sources
  1. SDWIS - water_system_name, violation_history, compliance_record
  2. Municipal budget records - capital budget allocation for water infrastructure

The message:

Subject: Your water system: 7 violations, $890K budget gap Lakeside Municipal Water shows 7 Safe Drinking Water Act violations in the past 18 months with estimated remediation cost of $1.2M. Your current capital budget allocation is $310K for 2025. Is someone working on the funding gap strategy?
PQS Public Data Strong (8.2/10)

Lead Exceedances Triggering Infrastructure Upgrades

What's the play?

Target water treatment facilities with recent lead exceedances. EPA enforcement timelines create 12-month urgency for infrastructure upgrades.

Why this works

Lead violations carry regulatory and public health weight. Naming the specific facility, quarter, and enforcement timeline shows you understand their compliance pressure.

Data Sources
  1. SDWIS - water_system_name, contaminant_monitoring, violation_history

The message:

Subject: 3 lead violations at Cedar Ridge water plant Cedar Ridge Water Treatment Facility logged 3 lead exceedances in Q4 2024 testing. EPA requires infrastructure upgrades within 12 months or system enters enforcement action status. Who's leading the compliance project selection?
PQS Public Data Strong (8.1/10)

Multiple Aging Substations with PCB Risk

What's the play?

Target utilities with multiple substations over 35 years old showing transformer fluid leaks. The portfolio-level risk across sites creates coordination urgency.

Why this works

Identifying multiple specific facilities demonstrates systematic research. The compliance timeline and penalty escalation create real urgency, and the coordination question is relevant.

Data Sources
  1. EPA ECHO - facility_name, violation_type, enforcement_action
  2. EIA-860 - plant_location, in_service_date, environmental_equipment

The message:

Subject: 3 substations in your grid over 35 years old Your Westside, Monroe Street, and Oak Hill substations are all 35+ years old with documented transformer fluid leaks. EPA requires PCB remediation within 90 days of detection or penalties escalate to $156K per violation. Who's coordinating the compliance timeline across sites?
PQS Public Data Strong (8.8/10)

Brownfield Site with Active Developer Interest

What's the play?

Target brownfield sites with active EPA cleanup funding that are attracting developer interest. Cross-reference zoning variance requests to identify transaction opportunities.

Why this works

The combination of cleanup funding, developer activity, and timeline creates transaction urgency. Offering the developer list provides immediate value.

Data Sources
  1. ACRES - site_location, funding_amount, cleanup_phase
  2. Municipal zoning records - variance requests, proximity to site

The message:

Subject: $3.4M cleanup at former textile mill site The former Riverside Textiles site at 1245 Commerce Drive has $3.4M in active EPA cleanup funding as of January 2025. Two commercial real estate firms filed zoning variance requests within 500 feet in the past 60 days. Want the list of developers circling this property?
PQS Public Data Strong (8.0/10)

Solar Project with Missing Wetlands Permit

What's the play?

Target renewable energy projects with approved zoning but missing Army Corps wetlands permits. The permit gap creates 6-8 month construction delay risk.

Why this works

Identifying the specific permit gap and quantifying the timeline impact demonstrates project-level understanding. The routing question is easy to answer.

Data Sources
  1. Municipal zoning records - approved permits, filing dates
  2. Army Corps of Engineers permit database - wetlands permit status

The message:

Subject: Your solar project missing wetlands permit The Sunrise Solar Farm project (filed March 2024) shows approved zoning but no Army Corps wetlands permit on record. Typical Corps review takes 180-240 days - you're looking at Q1 2026 construction start if filed today. Is someone already handling the wetlands assessment?
PQS Public Data Okay (7.9/10)

Wind Farm with Incomplete Wildlife Survey

What's the play?

Target wind energy projects that filed environmental impact assessments without completing required migratory bird surveys. The 12-month observation mandate creates major timeline risk.

Why this works

Identifying the specific compliance gap and quantifying the delay (12 months) demonstrates regulatory expertise. The coordination question is relevant for project management.

Data Sources
  1. Environmental impact assessment filings - submission dates, survey completion status
  2. Fish & Wildlife Service permit requirements - mandated observation periods

The message:

Subject: Wildlife survey gap on your wind farm site The Ridgeline Wind project filed environmental impact assessment on January 15th without completing the required migratory bird survey. Fish & Wildlife Service mandates 12-month seasonal observation before permit approval. Who's coordinating the wildlife compliance timeline?

What Changes

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

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

Why this works: When you lead with "Your Monroe Street substation has 4 open EPA violations from March 2024" instead of "I see you're expanding your infrastructure portfolio," 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
EPA ECHO facility_name, violation_date, violation_type, enforcement_action, penalty_amount, compliance_status Aging Power Infrastructure, Brownfield Sites
EIA-860 plant_operator_name, plant_location, in_service_date, nameplate_capacity, environmental_equipment Aging Power Infrastructure, Substation Risk Analysis
SDWIS water_system_name, population_served, violation_history, enforcement_action, contaminant_monitoring Water Systems with Violations, Funding Gap Analysis
FERC Project Database project_name, licensee_permittee, project_status, authorized_capacity, project_stage Renewable Energy Projects, Permit Timeline Analysis
ACRES site_location, contamination_status, cleanup_phase, funding_amount, grant_recipient Brownfield Redevelopment, Transaction Timing
OSHA Database establishment_name, inspection_date, violation_type, serious_violation_count, citation_amount Infrastructure Safety Risk, Cascading Compliance
Municipal Zoning Records variance_requests, permit_filings, developer_contacts, project_timelines Developer Interest Mapping, Brownfield Opportunities
Municipal Budget Records capital_allocation, water_infrastructure_budget, facility_funding Budget Gap Analysis, Funding Roadmaps