Blueprint Playbook for Bevz

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 Liquor Store SDR Email:

Subject: Streamline your alcohol delivery operations Hi [First Name], I noticed your store is now on DoorDash - congrats on the expansion! Managing orders across multiple platforms can be challenging. Bevz helps independent liquor stores like yours consolidate delivery management, sync menus automatically, and reduce order errors. Would you be open to a quick call to discuss how we're helping stores increase delivery revenue by 30%? Best, Sales Rep

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 expanding to delivery" (everyone can see this on the app)

Start: "Your license was approved November 18th - three competitors within 0.8 miles stock 12+ craft beer SKUs" (state database + competitive intelligence)

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, addresses.

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

Bevz PVP Play: Delivering Immediate Value

This message provides actionable intelligence before asking for anything. The prospect can use this value today whether they respond or not.

PVP Public + Internal Strong (9.1/10)

New License + Vendor Intelligence

What's the play?

When new liquor stores receive their license approval, immediately deliver a curated list of local craft distributors who already service their ZIP code - including the exact products their nearest competitors stock and minimum order quantities.

This combines state license database timing signals with proprietary distributor network data and competitive product intelligence to accelerate the new store's launch.

Why this works

New license holders are in launch mode - they need to stock inventory fast. Providing complete vendor contacts with MOQs and proven local product mix eliminates weeks of sourcing work.

The specificity (8 distributors in their exact ZIP, 5 carrying the top 12 SKUs from nearby competitors) proves you've done homework they'd otherwise pay a consultant to do.

Data Sources
  1. State Liquor License Databases - license approval date, address, license type
  2. TTB COLA Registry - approved alcohol products by brand and type
  3. Internal Distributor Network Data - distributor coverage by ZIP, contact info, MOQs
  4. Internal Customer Inventory Data - product mix by SKU category for similar stores

The message:

Subject: Craft beer vendors active in your ZIP Your license approved November 18th - I pulled 8 craft distributors already servicing your ZIP code (78701). Five of them stock the top 12 craft SKUs your three nearest competitors carry. Want their contact info and minimum order quantities?
DATA REQUIREMENT

This play requires distributor partnership data showing coverage by ZIP code, plus inventory data from existing customers showing which products move fastest in specific geographies.

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

Bevz PQS Play: Mirroring Exact Situation

This message demonstrates such precise understanding of the prospect's current situation that they feel genuinely seen. Every claim traces to a specific government database with verifiable data.

PQS Public + Internal Strong (8.4/10)

New License + Inventory Gap Detection

What's the play?

Target newly-licensed liquor stores within 48 hours of license approval and surface competitive intelligence about nearby stores' product mix - specifically identifying gaps in the new store's planned inventory.

This combines real-time license approval tracking with competitive product intelligence to help new stores avoid launch mistakes.

Why this works

The exact license approval date and address prove you're monitoring their specific situation in real-time. Telling them "three competitors within 0.8 miles stock 12+ craft beer SKUs" when they planned zero craft inventory creates immediate urgency.

New license holders are making critical inventory decisions RIGHT NOW. Pointing out a blind spot with specific competitive data (not generic advice) makes you the person who prevented a costly mistake.

Data Sources
  1. State Liquor License Databases - license approval date, address, license type, planned inventory (from application)
  2. Internal Customer Inventory Data - product mix by SKU category for nearby competitors
  3. Geographic Proximity Analysis - competitor mapping within radius

The message:

Subject: Your new license approved - craft beer gap? Your alcohol license at 456 Commerce St was approved November 18th. Three competitors within 0.8 miles stock 12+ craft beer SKUs - your application shows zero craft inventory planned. Who's handling your initial product mix decisions?
DATA REQUIREMENT

This play requires inventory data from existing retailer customers showing product mix by SKU category, combined with geographic competitor mapping.

Public license data + your proprietary inventory intelligence creates this insight.

What Changes

Old way: Spray generic messages at liquor store owners. Hope someone replies.

New way: Use license databases to find stores approved in the last 48 hours. Then deliver vendor lists and competitive product intelligence they need RIGHT NOW.

Why this works: When you lead with "Your license approved November 18th - I pulled 8 craft distributors in your ZIP" instead of "I see you're expanding to delivery," you're not another sales email. You're the person who did the homework that saves them weeks of sourcing work.

The messages above aren't templates. They're examples of what happens when you combine real data sources with specific timing triggers. 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
State Liquor License Databases (CA, NY, WA, PA, IL) business_name, license_type, address, license_number, status, approval_date License approval timing triggers, store location identification
TTB COLA Registry brand_name, product_type, approval_date, status, alcohol_type Product category trends, newly-approved alcohol products
Internal Distributor Network distributor_name, coverage_zip, contact_info, minimum_order_quantities Vendor recommendations by geography
Internal Customer Inventory product_category, sku_count, store_location, inventory_velocity Competitive product intelligence, optimal product mix benchmarks