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.
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 Progrexion SDR Email:
Why this fails: The prospect is not a consumer looking for credit repair. This template is B2C messaging sent to a B2B contact. There's no indication you understand their business situation or why they'd care about your consumer services. Delete.
Blueprint flips the approach. Instead of interrupting prospects with pitches, you deliver insights so valuable they'd pay consulting fees to receive them.
Stop: "I see you're hiring compliance people" (job postings - everyone sees this)
Start: "Your Dallas branch denied 23 mortgage applications in Q4 2024 with credit scores 580-619" (HMDA data with specific branch and quarter)
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.
Company: Progrexion
Core Problem: Consumers with damaged credit histories cannot access affordable financing, credit products, or housing due to negative items on their credit reports. Progrexion helps them dispute inaccurate negative items and rebuild their credit scores to access better financial opportunities.
Target ICP: Financial services companies serving subprime consumers - including FHA/subprime mortgage lenders, Buy Here Pay Here (BHPH) auto dealers, payday lenders, debt collection agencies, bankruptcy attorneys, and credit counseling agencies. These companies benefit from partnerships that help their customers improve credit scores.
Primary Persona: Operations leaders, compliance managers, and business development executives at lenders and financial services firms who serve credit-challenged consumers and face pressure to improve approval rates, reduce defaults, or strengthen customer relationships.
These plays combine Pain-Qualified Segments (PQS) that mirror exact situations with Permissionless Value Propositions (PVP) that deliver immediate intelligence. Each play traces back to verifiable data sources.
Identify FHA/subprime lenders' specific denied mortgage applications from HMDA data, then cross-reference with Progrexion's client database to find applicants who have already improved their credit scores above the lender's threshold. Deliver qualified leads with full contact details.
You're handing the lender a revenue opportunity on a silver platter. The specificity (name, email, phone, denial date, before/after scores) proves you did deep research. The applicant is ALREADY qualified NOW - the lender can call them today and close a loan they previously had to reject.
This play requires Progrexion's client database showing credit improvement outcomes, combined with HMDA denial records to identify the original lender.
This synthesis is proprietary - only Progrexion has both the credit improvement data and the ability to match it to specific lender denials.Target FHA/subprime mortgage lenders with specific denied applicants from HMDA data who have improved credit scores through Progrexion and now qualify above the lender's minimum threshold. Provide full contact details and before/after scores.
The lender can verify every detail immediately - specific branch, specific denial date, specific applicant name. The applicant is qualified NOW and ready to close. This is not prospecting, it's delivering a qualified lead with full context.
This play requires Progrexion's client credit monitoring system showing real-time score improvements, combined with HMDA denial data to identify the original lender.
Only Progrexion can deliver this intelligence because it requires both the credit improvement tracking and lender matching capability.Identify specific mortgage applicants denied by FHA/subprime lenders who have completed credit repair through Progrexion and now meet qualification requirements. Deliver the lead with exact dates, scores, and contact information.
This is a hot lead delivered with complete context. The lender denied this person, you helped them improve their credit, and now they're qualified. The lender can call them immediately and close revenue they thought was lost forever.
This play requires Progrexion's client database with credit improvement tracking and contact information, matched against HMDA denial records to identify the original lender.
This is proprietary intelligence - competitors cannot replicate without access to both credit improvement data and lender matching.Target Buy Here Pay Here dealers with specific recent customers from their sales records who have improved credit scores through Progrexion and now qualify for refinancing at better rates. Help the dealer build loyalty by improving customer outcomes.
The dealer can verify this deal in their records immediately (specific buyer, car, date, rate). You're helping THEIR customer save money, which builds the dealer's reputation for post-sale support and creates lifetime customer loyalty.
This play requires the recipient's historical sales data from their system (buyer records, financing terms, dates). Only works for dealers who share sales data or for upselling existing BHPH partners.
Alternative: Use this format for dealers who become partners and share customer data for post-sale credit improvement programs.Identify Buy Here Pay Here dealers' recent customers who have completed credit repair through Progrexion and now qualify for refinancing at lower interest rates. Show the dealer how to provide post-sale value that builds customer loyalty.
The dealer's customer is already reaping benefits - verifiable credit score improvement and qualification for better rates. The dealer can call and verify this immediately, and it positions them as a partner who cares about customer financial success beyond the initial sale.
This play requires the recipient's historical sales data from their system (buyer name, vehicle, original APR, date). Only works for existing BHPH dealer partnerships where customer data is shared.
This is designed for upselling current partners or dealers who agree to share customer data for post-sale credit improvement programs.Target bankruptcy attorneys with specific Chapter 7 clients from PACER records who are approaching or entering the optimal 90-120 day post-discharge window for credit disputes. Show the attorney how to provide timely post-discharge guidance that maximizes client credit recovery.
The attorney can verify every detail (client name, case number, discharge date, exact day count). The timing urgency is real and creates immediate reason to act. You're helping the attorney provide valuable post-discharge service their client needs.
This play requires PACER bankruptcy discharge records combined with Progrexion's timing effectiveness data showing optimal credit dispute windows post-discharge.
The timing analysis is proprietary - only Progrexion has the dispute outcome data to validate the 90-120 day optimal window.Target Buy Here Pay Here dealers with recent buyers from sales records who have specific types of negative items (e.g., Capital One charge-offs older than 30 months) that show high removal success rates in Progrexion's dispute database. Provide actionable list of buyers the dealer can help immediately.
The dealer gets a concrete list of specific recent buyers they can contact today. The 87% removal success rate for old CapOne charge-offs is compelling and specific. The dealer can immediately reach out to these 3 buyers and provide post-sale value.
This play requires the recipient's recent sales records and access to customer credit reports. Only works for existing BHPH dealer partnerships with shared customer data.
Designed for upselling current partners who want to provide post-sale credit improvement services to their buyers.Target bankruptcy attorneys with clusters of Chapter 7 clients from PACER records who are all entering the 90-120 day optimal credit dispute window within the same month. Provide the attorney with a batch list for efficient post-discharge outreach.
The attorney can verify all case numbers and discharge dates immediately. The timing window creates urgency for action this month. Batching 5 clients makes the outreach efficient and shows you understand their workflow needs.
This play requires PACER bankruptcy records filtered by attorney and district, combined with Progrexion's timing analysis showing optimal credit dispute windows.
The 90-120 day window is proprietary intelligence from Progrexion's dispute outcome analysis.Target Buy Here Pay Here dealers with analysis of their recent sales showing specific buyers with negative items that have high removal success rates in Progrexion's dispute database. Provide immediate actionable list of buyers who could benefit from credit improvement.
The dealer gets a concrete list of buyers from a specific recent period (last 60 days) that they can immediately contact. The 81% removal rate for specific charge-offs creates confidence in the recommendation. Helps dealer provide post-sale value.
This play requires the recipient's recent sales records and access to customer credit reports. Only works for existing BHPH dealer partnerships with shared customer data.
Designed for dealers who want to analyze their recent sales and provide post-sale credit improvement services.Target bankruptcy attorneys with specific clients from PACER records who are at the precise optimal moment (day 90-100 post-discharge) to begin credit disputes for maximum effectiveness. Create urgency by showing the 120-day window is closing.
The attorney can verify the client name, case number, and exact discharge date immediately. The day count creates real urgency - the optimal window is closing soon. You're helping the attorney provide timely post-discharge guidance.
This play requires PACER bankruptcy records combined with Progrexion's timing analysis showing optimal credit dispute windows post-discharge.
The day-count precision and 120-day window are based on proprietary dispute outcome data only Progrexion has.Target FHA/subprime mortgage lenders with analysis of their November denied applications from HMDA data, combined with Progrexion's credit repair timeline modeling to forecast which applicants will requalify in March. Help lenders plan Q1 pipeline.
The lender gets actionable pipeline planning data - specific branch, specific month of denials, and time-bound forecast for when applicants will requalify. The synthesis of denial data with repair timelines shows unique research they can't get elsewhere.
This play requires HMDA denial data combined with Progrexion's timeline modeling showing credit repair progression by negative item type and starting score range.
The requalification timeline forecast is proprietary - based on Progrexion's dispute resolution data across thousands of cases.Target FHA/subprime mortgage lenders with analysis of specific branch denials from HMDA data showing applicants in the 580-619 score range who need 4-6 months of credit repair to qualify. Offer the contact list for referral partnerships.
The lender can verify the 23 denied applications at their Dallas branch in Q4 2024 immediately. The 4-6 month timeline is concrete and actionable. You're helping them provide value to denied applicants and build future pipeline.
This play requires HMDA denial data combined with Progrexion's credit repair timeline data showing average improvement periods by starting score range.
The 4-6 month timeline is based on proprietary analysis of thousands of Progrexion client credit improvement outcomes.Target FHA/subprime mortgage lenders with forecast analysis showing which November 2024 denied applicants from HMDA data will requalify in March 2025 based on Progrexion's credit repair timeline modeling. Help lenders plan Q1 2025 pipeline.
The lender gets actionable Q1 pipeline planning - specific branch, specific denial month, and time-bound requalification forecast. The synthesis of their denial data with credit repair timelines creates valuable intelligence they can't get elsewhere.
This play requires HMDA denial data combined with Progrexion's timeline modeling showing credit score recovery progression by negative item type.
The March requalification forecast is proprietary - based on Progrexion's dispute resolution timeline data across thousands of cases.Target bankruptcy attorneys with analysis of their Q4 2024 Chapter 7 discharges from PACER showing the average negative items remaining on credit reports, combined with Progrexion's timing effectiveness data. Deliver a resource they can share with discharged clients.
The attorney gets a valuable post-discharge resource specific to their district and recent cases. The 67 points faster metric is compelling and quantified. This helps them provide ongoing value to clients after bankruptcy is complete.
This play requires PACER discharge records combined with Progrexion's timing effectiveness analysis showing score improvement differences based on when disputes begin post-discharge.
The 67 points faster metric is proprietary - based on Progrexion's analysis of thousands of bankruptcy discharge cases.Target Buy Here Pay Here dealers with analysis of their typical buyer credit profiles showing which creditors' negative items have highest removal success rates in Progrexion's dispute database. Deliver actionable prioritization guide for sales teams.
The dealer gets actionable intelligence specific to their average buyer profile (2.3 negative items, 68% from specific creditors). The 76% vs 39% comparison helps sales teams prioritize which disputes to recommend. This is practical guidance they can use immediately.
This play requires analysis of BHPH dealer's typical buyer credit profiles combined with Progrexion's removal success rates by creditor from internal dispute database.
The creditor-specific success rates (76% for Discover/CapOne/Synchrony vs 39% for medical collections) are proprietary intelligence from Progrexion's 1,200+ dispute cases.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 Dallas branch denied 23 mortgage applications in Q4 2024 with scores 580-619" instead of "I see you're hiring for loan officers," 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.
Every play traces back to verifiable data. Here are the sources used in this playbook:
| Source | Key Fields | Used For |
|---|---|---|
| HMDA Data | lender_name, loan_type, action_taken, credit_score_range, denial_reason, branch location | Identifying FHA/subprime mortgage lenders' denied applications by credit score and branch |
| PACER Bankruptcy Records | case_number, discharge_date, debtor_name, attorney_of_record, district | Finding bankruptcy attorneys' Chapter 7 clients with recent discharges for credit repair timing |
| BHPH Dealer Directory | dealer_name, address, phone, financing_terms, location | Identifying Buy Here Pay Here dealers serving subprime customers |
| State Payday Lending Directories | lender_name, license_number, address, license_status, license_expiration | Finding state-licensed payday lenders in 13 regulated states |
| State Debt Collection Licensing Boards | agency_name, license_number, address, license_status, state | Identifying licensed debt collectors in 39+ states |
| CFPB Supervised Institutions Lists | institution_name, institution_type, assets, supervision_category | Finding CFPB-supervised payday lenders and debt collectors |
| OCC Financial Institution Registry | bank_name, charter_number, address, charter_type, active_status | Identifying nationally chartered banks originating subprime mortgages |
| NACBA Bankruptcy Attorney Directory | attorney_name, law_firm, location, practice_areas, bankruptcy_specialization | Finding bankruptcy specialists whose clients need post-discharge credit repair |
| Progrexion Client Database (Internal) | credit_score_improvements, dispute_outcomes, contact_information, timeline_data | Tracking client credit improvements, removal success rates, and optimal timing windows |
| Progrexion Dispute Database (Internal) | dispute_outcome, item_type, creditor, removal_success_rate, bureau, days_to_resolution | Analyzing removal success rates by creditor, item type, and optimal dispute timing |