Blueprint Playbook for Elekeiroz

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 Elekeiroz SDR Email:

Subject: Optimize Your Chemical Supply Chain Hi [First Name], I noticed your company manufactures [Product Type] and thought you might be interested in our high-quality chemical intermediates. At Elekeiroz, we're the largest plasticizer manufacturer in Brazil with 130 years of experience. We supply formol, anhydrides, and oxo-alcohols to leading manufacturers across Latin America. Our solutions can help you: • Reduce supply chain risk • Improve product quality • Meet regulatory requirements Would you have 15 minutes next week to discuss how we can support your production needs? 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 São Paulo facility received 3 VOC emissions violations from CETESB in October, November, December 2024" (government database with exact months and agency name)

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.

Elekeiroz Overview

Core Problem They Solve

Chemical manufacturers need reliable, high-quality chemical intermediates (plasticizers, anhydrides, formol) to produce their own products—construction materials, coatings, automotive parts, furniture, footwear. Elekeiroz eliminates supply chain risk and dependency on unreliable suppliers for critical chemical inputs.

Target ICP

Industries: MDF/MDP furniture manufacturing, paint and coatings, automotive suppliers, wire and cable insulation, vinyl flooring and pool manufacturing, construction materials, agrochemical production, marine composite equipment

Company Size: Mid-market to large manufacturers with annual revenues >$10M USD, typically 100+ employees with dedicated procurement and operations teams

Operational Context: Facilities requiring consistent supply of chemical intermediates, tight quality specifications, regulatory compliance, and just-in-time inventory management

Primary Buyer Persona

Title: Procurement Manager / Supply Chain Director

Responsibilities: Supplier selection and qualification, purchase negotiations, inventory planning, quality specification compliance, lead time management, cost optimization, supply chain risk mitigation

KPIs: Supplier delivery reliability, product quality compliance, cost per unit, inventory turnover, supply chain continuity, regulatory compliance metrics

Elekeiroz GTM Plays

These messages are ordered by quality score (highest first). Each play demonstrates specific data synthesis and delivers value before asking for anything.

PVP Public + Internal Strong (9.4/10)

VOC Violations + Anhydride Quality Root Cause Analysis

What's the play?

Connect specific CETESB VOC violations to potential anhydride quality issues. Use internal research correlating maleic content above 0.3% to VOC off-gassing in automotive coatings. Offer immediate technical value through root cause analysis.

Why this works

You've connected their regulatory violations to a root cause they hadn't considered. The 47-manufacturer analysis provides credible data, the 0.08% vs 0.3% comparison is concrete, and the customer compliance track record is exactly what they need to present to management. This delivers immediate consulting-level value.

Data Sources
  1. CETESB Environmental Violation Database - facility name, violation type, violation dates
  2. Internal Quality Control Data - maleic content averages, customer compliance tracking

The message:

Subject: Your CETESB violations + our purity data Your São Paulo plant had 3 CETESB VOC violations Q4 2024 - we analyzed 47 coating manufacturers and found 0.3%+ maleic content in anhydride correlates with emissions failures. Our Camaçari anhydride averages 0.08% maleic (6 sigma quality) - none of our coating customers have had VOC violations in 18 months. Want the batch purity certificates and our customer compliance track record?
DATA REQUIREMENT

This play requires internal quality control data showing maleic content averages across production batches, plus customer compliance tracking across coating manufacturer base correlating quality specs to environmental violations.

This synthesis of CETESB data + your quality research is unique and cannot be replicated by competitors.
PVP Public + Internal Strong (9.1/10)

IBAMA Expansion + Formol Supply Planning

What's the play?

Use IBAMA expansion license filings to calculate exact formol requirements for new MDF capacity. Combine with internal production capacity and logistics data to demonstrate geographic advantage over international suppliers.

Why this works

You've done the math on their exact capacity needs. The geographic proximity (340km vs international shipping) is a genuine value proposition they may not have considered. Contrasting 48-hour vs 4-month lead times addresses immediate supply chain risk. The low-commitment ask for planning data makes response easy.

Data Sources
  1. IBAMA Environmental Licensing System (SISLIC) - facility name, license number, installation license date, projected capacity
  2. Internal Production Capacity Data - tons/month formol production, delivery logistics capabilities

The message:

Subject: 2,340 tons formol needed for your Q3 expansion Pulled your IBAMA 567821 filing - you're adding 18,000m³ MDF capacity in Q3. We produce 4,200 tons/month formol at Camaçari, 340km from your Bahia plant - 48-hour delivery vs your current 4-month Shanghai lead times. Want our Q3 availability forecast and logistics cost breakdown?
DATA REQUIREMENT

This play requires internal production capacity data for formol manufacturing, delivery logistics capabilities by region, and competitor lead time intelligence gathered from market research or customer feedback.

The synthesis of IBAMA filing data + your production planning + logistics advantage is proprietary to Elekeiroz.
PQS Public + Internal Strong (8.9/10)

VOC Violations + Anhydride Purity Correlation

What's the play?

Target coatings facilities with recent CETESB VOC violations. Connect violations to potential anhydride quality issues using internal R&D knowledge about purity specifications and emissions correlation.

Why this works

The specific plant and exact violation months demonstrate deep research. The purity correlation to VOC emissions is non-obvious and actionable - this could actually explain their compliance issues. The routing question is simple and natural.

Data Sources
  1. CETESB Environmental Violation Database - facility name, violation type, violation months
  2. Internal R&D Knowledge - anhydride impurity correlation to VOC emissions in coating applications

The message:

Subject: 3 VOC violations at São Paulo plant Your São Paulo facility received 3 VOC emissions violations from CETESB in October, November, December 2024. We've seen phthalic anhydride impurities (above 0.3% maleic content) correlate with VOC off-gassing in automotive coatings. Is someone testing your current anhydride supplier's purity specs?
DATA REQUIREMENT

This play requires internal R&D research correlating anhydride purity specifications (specifically maleic content thresholds) to VOC emissions performance in coating applications.

This technical correlation is proprietary knowledge from Elekeiroz's product development and quality assurance teams.
PQS Public + Internal Strong (8.7/10)

IBAMA Expansion Filing + Supply Timeline Pressure

What's the play?

Target MDF/MDP manufacturers with recent IBAMA expansion licenses. Calculate exact formol requirements using production ratios. Create urgency by highlighting competitor lead time constraints versus Q3 ramp-up timeline.

Why this works

Way too specific - they know you researched their exact IBAMA filing. The tonnage calculation demonstrates understanding of their production ratios. The 4-month lead time concern is real and immediate. The routing question is simple and natural.

Data Sources
  1. IBAMA Environmental Licensing System (SISLIC) - facility name, license number, filing date, projected capacity
  2. Internal Knowledge - formol-to-MDF production ratios, competitor lead time intelligence

The message:

Subject: Your IBAMA license 567821 expansion filing Your IBAMA expansion license 567821 filed March 14th projects 18,000m³ additional MDF capacity starting Q3 2025. That's roughly 2,340 additional tons of formol annually - your current supplier Fornecedora XYZ has 4-month lead times. Who's securing the formol supply for Q3 ramp-up?
DATA REQUIREMENT

This play requires internal knowledge of formol-to-MDF production ratios plus competitor lead time intelligence gathered from market research or customer feedback conversations.

While IBAMA data is public, the production ratio calculation and competitor intelligence synthesis is unique to Elekeiroz.
PVP Public Data Strong (8.6/10)

LinkedIn Hiring Ramp + Plasticizer Capacity Planning

What's the play?

Use LinkedIn job postings to reverse-engineer capacity expansion plans for automotive plastics manufacturers. Calculate plasticizer demand from headcount growth. Demonstrate geographic proximity and automotive industry specialization.

Why this works

You've reverse-engineered their capacity plans from public hiring data - that's impressive detective work. Geographic proximity and automotive specialization are relevant differentiators. The Q2 pricing lock addresses immediate planning needs, and customer references in same industry/region build credibility.

Data Sources
  1. LinkedIn Public Company Profiles + Job Postings - company name, location, job titles, posting dates
  2. CNAE Brazilian Industrial Classification System - CNAE code, activity description

The message:

Subject: 340 tons/month plasticizer for your Betim expansion You posted 17 production roles at Betim in 45 days - we calculated that's ~340 tons/month additional DOP/DINP demand starting Q2. Our São Paulo distribution center stocks 850 tons DOP monthly with 72-hour delivery to Betim - we supply 4 other Tier 1 automotive suppliers in Minas Gerais. Want the Q2 pricing lock and our automotive customer reference list?
PQS Public Data Strong (8.3/10)

LinkedIn Production Hiring + Plasticizer Demand Calculation

What's the play?

Monitor LinkedIn for rapid hiring at automotive plastics manufacturers. Calculate plasticizer demand from headcount increases using production ratios. Create urgency around Q2 supply planning.

Why this works

The specificity is striking - they monitor your hiring closely. The tonnage calculation from headcount is surprisingly accurate for procurement managers. The Q2 timing assumption is reasonable given 45-day hiring window. Direct routing question makes response easy.

Data Sources
  1. LinkedIn Public Company Profiles + Job Postings - company name, facility location, job titles, posting dates
  2. CNAE Brazilian Industrial Classification System - CNAE code 2229-3/99 (automotive plastics)

The message:

Subject: 17 production hires at your Betim plant Your Betim facility posted 17 production technician roles on LinkedIn in the past 45 days (CNAE 2229-3/99 automotive plastics). Ramping 17 positions typically signals 25-30% capacity increase - that's roughly 340 additional tons/month plasticizer demand. Who's scaling your DOP and DINP supply for Q2?
PQS Public Data Okay (7.9/10)

CETESB Escalation + Production Halt Risk

What's the play?

Target coatings facilities with repeat CETESB violations. Highlight escalation penalties and production halt risk. Focus on January response filing deadline to create immediate urgency.

Why this works

Specific line and date show deep research. The 3x penalty multiplier threat is real and scary. Production halt risk is a nightmare scenario for operations managers. Good routing question, though it leans slightly fear-based.

Data Sources
  1. CETESB Environmental Violation Database - facility name, production line, violation date, violation type

The message:

Subject: December CETESB violation at Line 3 Your Line 3 at São Paulo got flagged December 18th for VOC emissions exceeding 150 g/L. CETESB's escalation matrix puts repeat violations (you had Oct + Nov too) at 3x penalty multiplier and potential production halt. Is someone coordinating the January response filing?
PQS Public + Internal Okay (7.8/10)

IBAMA Timeline + Supplier Capacity Constraint

What's the play?

Combine IBAMA expansion timeline with competitor capacity intelligence from earnings calls. Create urgency around Q3 formol supply planning by highlighting supplier constraints.

Why this works

July timeline matches internal project schedules. Supplier at 94% capacity is genuinely concerning news. Simple yes/no question is easy to answer. Feels slightly salesy with the supply scare tactic.

Data Sources
  1. IBAMA Environmental Licensing System (SISLIC) - facility name, license number, construction timeline
  2. Competitor Earnings Calls - capacity utilization percentages

The message:

Subject: Formol supply gap March-August 2025 Your IBAMA 567821 expansion needs formol delivery starting July 2025 based on the construction timeline. Your current supplier Fornecedora XYZ's nearest Brazil plant is operating at 94% capacity per their Q4 earnings call. Have you locked Q3 formol volumes yet?
DATA REQUIREMENT

This play requires competitor intelligence gathered from public earnings calls plus internal construction timeline estimation knowledge for typical IBAMA expansion projects.

While individual data points are public, the synthesis connecting expansion timelines to supplier capacity constraints requires market intelligence gathering.
PVP Public + Internal Okay (7.7/10)

Reserved Q3 Formol Capacity + Delivery Planning

What's the play?

Use IBAMA filing data to proactively reserve production capacity for prospect's expansion. Demonstrate superior delivery performance with benchmarked metrics. Offer concrete delivery planning documents.

Why this works

Reserved capacity is helpful but feels slightly presumptuous. The 98.7% vs 91% delivery benchmark provides useful context. Delivery calendar would be valuable for planning. Slightly too salesy with the pre-reservation angle.

Data Sources
  1. IBAMA Environmental Licensing System (SISLIC) - facility name, license number, capacity projections
  2. Internal Production Planning - available capacity, delivery performance tracking

The message:

Subject: Q3 formol availability - 2,340 tons reserved We reserved 2,340 tons formol production capacity for Q3 2025 based on your IBAMA 567821 filing projections. Camaçari plant can deliver weekly shipments starting July 1st - our MDF customers average 98.7% on-time delivery vs industry 91%. Want the Q3 delivery calendar and contract terms?
DATA REQUIREMENT

This play requires internal production planning capabilities, delivery performance tracking across MDF customer base, and industry benchmarking data for on-time delivery metrics.

The combination of capacity reservation + performance benchmarking demonstrates operational sophistication unique to established suppliers.
PVP Public Data Okay (7.6/10)

Hiring Ramp + DOP/DINP Cost Optimization

What's the play?

Use LinkedIn hiring data to forecast plasticizer demand. Build cost comparison between DOP and DINP at projected volumes. Deliver immediate value through cost optimization analysis.

Why this works

Cost comparison is useful for procurement planning. The R$127/ton savings is specific and meaningful. Spec compliance documentation addresses quality concerns. Still feels somewhat like a sales pitch disguised as help.

Data Sources
  1. LinkedIn Public Company Profiles + Job Postings - hiring counts, facility location
  2. Public Pricing Data - DOP vs DINP market rates, logistics costs

The message:

Subject: Betim capacity ramp - plasticizer comparison Your 17 production hires signal major capacity expansion - we built a cost comparison for DOP vs DINP at your projected 340 ton/month volume. Based on current Betim logistics and automotive spec requirements, DINP saves you R$127/ton without performance trade-offs. Want the full cost breakdown and spec compliance documentation?
PQS Public Data Okay (7.6/10)

INMETRO Expiration + Scaled Capacity Recertification

What's the play?

Cross-reference INMETRO certification expiration dates with LinkedIn hiring ramps. Highlight recertification testing requirements for scaled capacity to create compliance urgency.

Why this works

INMETRO expiration is specific and verifiable. Connection to hiring ramp is insightful. The 8-12 week timeline is accurate and creates urgency. Feels slightly tangential to plasticizer sales though.

Data Sources
  1. INMETRO Certified Manufacturers Database - certification number, expiration date, product category
  2. LinkedIn Public Company Profiles + Job Postings - hiring counts

The message:

Subject: Your INMETRO certification expiring May 2025 Your Betim plant's INMETRO certification (NBR 8661 automotive wire insulation) expires May 14, 2025. With 17 new production hires ramping, you'll need recertification testing on scaled capacity - that's 8-12 week lead time. Has QA scheduled the pre-audit testing yet?
PVP Public + Internal Okay (7.4/10)

VOC Violation Root Cause + Free Technical Audit

What's the play?

Offer free technical audit to coatings facilities with CETESB violations. Use internal technical capabilities to audit competitor supplier certificates and run comparative testing.

Why this works

Root cause offer is genuinely helpful. No-cost audit reduces commitment barriers. The 2-hour time estimate is reasonable. Feels somewhat like a foot-in-the-door sales tactic though.

Data Sources
  1. CETESB Environmental Violation Database - facility name, violation months
  2. Internal Technical Capabilities - quality auditing, comparative testing

The message:

Subject: Root cause analysis - your 3 VOC violations We correlated your 3 CETESB violations (Oct/Nov/Dec) with potential anhydride quality issues - maleic content above 0.3% causes VOC off-gassing. Our technical team can audit your current supplier's certificates and run comparative testing at no cost. Want to schedule the 2-hour technical audit?
DATA REQUIREMENT

This play requires internal technical capabilities for quality auditing and comparative testing of anhydride purity specifications.

The free audit offer demonstrates confidence in product quality and technical expertise unique to established manufacturers.

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 IBAMA license 567821 filed March 14th projects 18,000m³ additional MDF capacity" instead of "I see you're expanding production," 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 data. Here are the sources used in this playbook:

Source Key Fields Used For
IBAMA Environmental Licensing System (SISLIC) facility_name, location, license_status, license_type, cnpj, activity_code MDF expansion licenses, facility scaling, production capacity changes
CETESB Environmental Violation Database facility_name, violation_type, violation_date, production_line VOC violations, regulatory compliance pressure, repeat offenders
LinkedIn Public Company Profiles + Job Postings company_name, employee_count, hiring_keywords, location, industry Production hiring ramps, capacity expansion signals, growth indicators
CNAE Brazilian Industrial Classification System cnae_code, activity_description, manufacturer_count, sector Industry classification, target niche identification, market segmentation
INMETRO Certified Manufacturers Database product_name, manufacturer_name, certification_status, product_category Quality standards, certification expirations, compliance requirements
ABIQUIM Brazilian Chemicals Directory manufacturer_name, product_type, cnpj, location, contact Chemical manufacturer identification, competitive landscape mapping