Internal Playbook

LinkedIn Outbound
for Pokemon Vending

How we use The Whale Finder, Claude Cowork, Apollo, and Placer.ai to discover venues, enrich decision-makers, and run LinkedIn outbound for Pokemon trading card vending machine placement. No cold calling. No paid ads. Just smart outbound.

Pod Plug — Q2 2026 Author: Ethan Kohan Version 1.1

What We Use

Four tools working together. The Whale Finder discovers venues, Apollo enriches contacts, Claude Cowork orchestrates everything, and LinkedIn is where conversations happen.

Lead Engine

The Whale Finder

Our Claude project that sweeps 37 venue categories per market. Uses Placer.ai data + web search. Scores every venue. Outputs a formatted .xlsx ready for outreach.

Foot Traffic

Placer.ai

Pre-loaded CSVs covering malls, airports, colleges, casinos, stadiums, grocery, gyms, and more. Verifies 80K+ and 100K+ foot traffic thresholds before prospecting.

Enrichment

Apollo.io

Takes the approved venue list and fills in decision-maker names, emails, phone numbers, and LinkedIn profiles. Runs after you sign off on venues.

Outreach

LinkedIn + Sales Nav

Connection requests with 300-character notes. InMail for high-priority targets. DM sequences to book calls.

LinkedIn InMail Credits

Your plan determines how many cold InMails you can send monthly. Connection requests with notes are unlimited (but LinkedIn caps ~100/week before flagging).

PlanMonthly InMailsNotes
Premium Career5Not enough for outbound
Premium Business15Light outbound only
Recruiter Lite30Designed for hiring, not sales

The move: Don't burn InMails on people you can reach with a free connection request + 300-character note. Save InMails for decision-makers who won't accept connections from strangers (VPs, Directors, C-suite at large chains). Unlimited notes with Premium (300 characters).

35+ Venue Types for Pokemon Vending

Pokemon trading card vending machines go anywhere with high foot traffic, families, collectors, or bored people waiting around. These are every venue category we're prospecting, organized by type. All leads are sourced within a 45-minute radius of your target market.

🛒

Retail & Shopping

5 types
  • Asian Markets (H Mart, Mitsuwa, 99 Ranch)
  • Malls (Westfield, Simon Properties, Brookfield)
  • Outlet Malls / Lifestyle Centers (Tanger, Citadel)
  • Grocery Stores (Kroger, Albertsons, Publix)
  • Convenience Stores / Gas Stations (100K+ ft/yr)

Exclude grocery chains where The Pokemon Company already has machines.

🎮

Entertainment & FECs

7 types
  • Arcade Chains (Dave & Busters, Main Event, Round1)
  • Independent Arcades (80K+ ft/yr flagships only)
  • Japanese Arcade Concepts (Round1, Taito Station)
  • Bowling Alleys (Bowlero, Lucky Strike, Pinstripes)
  • Independent Bowling (80K+ ft/yr flagships only)
  • Trampoline Parks (Sky Zone, Urban Air, Altitude)
  • Movie Theaters (Regal, AMC, Cinemark)

Independent arcades and bowling: verify foot traffic with Placer.ai before prospecting.

🏋

Sports, Fitness & Active

7 types
  • Indoor Karting (K1 Speed, Andretti, iFLY)
  • Mini Golf Combos (Topgolf, PopStroke, Puttshack)
  • Gyms (100K+ ft/yr, $80K+ median income area)
  • Rock Climbing Gyms (Movement, Brooklyn Boulders, Earth Treks)
  • Sports Complexes / Youth Tournaments (Spooky Nook, Rocky Top, LakePoint)
  • Arenas (MSG, Crypto.com Arena, United Center)
  • Stadiums (SoFi, AT&T Stadium, Yankee Stadium)

Rock climbing: flagship locations only, 80K+ annual foot traffic.

✈️

Travel & Transit

6 types
  • Airports (LAX, JFK, Dallas-Fort Worth)
  • Highway Service Plazas (Applegreen, Welcome Centers)
  • Truck Stops (Pilot Flying J, Love's, TA/Petro)
  • Turnpike / Thruway Rest Areas (NJ Turnpike, Ohio Turnpike, FL Turnpike)
  • Cruise Ships (Royal Caribbean, Carnival, Disney)
  • Cruise Terminals (Port of Miami, Canaveral, Galveston)
🎠

Family & Tourism

7 types
  • Theme Parks (Six Flags, Knott's Berry Farm, Cedar Point)
  • Zoos & Aquariums (San Diego Zoo, Georgia Aquarium, Shedd)
  • Children's & Science Museums (CA Science Center, Discovery Cube)
  • Indoor Water Parks (Great Wolf Lodge, Kalahari, Camelback)
  • Ski Resorts / Lodges (Mammoth, Vail, Park City)
  • Hotel & Resort Lobbies (Marriott, Embassy Suites, Hilton)
  • Casinos (MGM Grand, Caesars Palace, Mohegan Sun)
🏫

Institutional

6 types
  • Universities (UCLA, Ohio State, UT Austin)
  • Military Bases (Fort Liberty, Camp Pendleton, JBLM)
  • Children's Hospitals (CHLA, Texas Children's, Nationwide)
  • Convention Centers (LA Convention Center, McCormick Place, Javits)
  • Large Public Libraries (LA, NYC, Chicago)
  • Rec Centers / YMCAs (flagships only, 80K+ ft/yr)
🔥

Niche / High-Traffic Specialty

1 type
  • High-Traffic Vape Shops (100K+ ft/yr)

Do Not Prospect

Exclude any venue where The Pokemon Company already has machines or national contracts. Also exclude retailers that already sell Pokemon: Walmart, Target, Costco, Sam's Club. Verify before outreach.

The Whale Finder: Full Pipeline

The Whale Finder is our Claude project that turns a city name into a fully enriched lead list with LinkedIn profiles. Here's how every lead flows from discovery to DM.

🌎
Input

Drop a City + Radius

"Run a full sweep for Orlando, FL. 45-minute radius."

🐳
Step 1 — The Whale Finder

Venue Discovery

Sweeps all 37 venue categories. Pulls Placer.ai foot traffic data + web search. VIBE-scores every venue. Flags competitors. Outputs .xlsx with venue name, address, category, foot traffic, and decision-maker type.

37 venue categories Placer.ai data VIBE scoring Competitor flags
Human Review

You Approve the List

Review the venue list. Cut anything that doesn't fit. Remove venues where Pokemon Company already has machines. Sign off before enrichment begins. This saves Apollo credits.

🔍
Step 2 — Contact Enrichment

Apollo + Web Research

Takes the approved venues and fills in decision-maker info. Finds two contacts per venue where possible.

👤 Full name + title
📧 Work email
📞 Phone number
🔗 LinkedIn profile URL
📄
Output

Enriched .xlsx Lead List

Two sheets: the full lead list (one row per venue with contacts) and a dashboard with category breakdown and estimated monthly revenue opportunity.

Lead List Template Open →
💬
Outbound

LinkedIn DM Cadence

Connection request with 300-char note. Discovery DM when they accept. Follow-up sequence. Book a call. Close the placement.

📅
Result

Meeting Booked

Decision-maker on a call. Walk through the placement model, answer questions, handle objections, and move toward a signed agreement.

Per-Lead Outbound Cadence

This is the step-by-step sequence for every lead, from the moment you find them in Apollo to the moment you close the placement. Send 50 connection requests per day and run this cadence for each one.

Step 1

Send Connection Request + Note

Pull the lead from your Apollo spreadsheet. Send a connection request with a personalized 300-character note. Mention their venue by name. Do NOT pitch in the note.

  • 50 connection requests per day max (LinkedIn flags above this)
  • Personalize every note with their name, company, or city
  • Goal: get accepted, not sell
Day 0 — They Accept

Send the Pitch DM

As soon as they accept, send a direct DM introducing the Pokemon vending concept. These people aren't active LinkedIn users, so move fast. You may only get one shot at their attention.

  • Introduce yourself and the concept in 3-4 sentences max
  • Mention their specific venue type and why it's a fit
  • End with a clear ask: "Would love to hop on a quick call. What's the best way to reach you?"
Day 1 — They Reply

Continue the Conversation or Introduce the Concept

If they reply, match their energy. If they're engaged and asking questions, you can introduce the Pokemon vending concept right here. If the conversation is going well enough to close same-day, go for it. Drop your number or ask for the best way to reach them.

  • If warm: introduce the concept and offer a quick call
  • If they need more context: share a 30-second video of the machine Recommended
  • If closing same-day: "What's the best way to reach you? Happy to send my number"
  • Like and comment on their posts to stay visible Optional
Day 2-3 — No Reply

Follow-Up DM

If they accepted but didn't reply to your first DM, send a light follow-up. Don't be pushy. Reference something specific about their business to show it's not a mass message.

  • Keep it casual and short
  • Reference their store or a recent post if applicable
  • Send 1-3 follow-ups spaced 2-3 days apart. If they ghost after the third, move on.
Day 3-5 — Interested

Share the Video + Pitch the Call

For leads who are interested but haven't committed to a call yet, send a short video of the machine in action at a similar venue. This does more selling than any paragraph of text. Then suggest a quick phone call.

  • Send a 30-second video of the Pokemon vending machine at a live venue Recommended
  • Frame it as "thought you'd want to see what this looks like in a store like yours"
  • Prioritize phone calls over Meet (lower friction)
  • Offer your number or ask for theirs
Close

Book the Call. Move Off LinkedIn.

LinkedIn is for starting conversations. The phone is for closing them. Get them on a 10-minute call to walk through the placement logistics and value prop. Send a follow-up with the placement agreement if they're interested.

  • Walk through the placement model and how it works for their venue
  • Handle objections (space, exclusivity, maintenance)
  • Send follow-up with placement agreement if interested
  • Log all leads and objections in the tracking spreadsheet

DM Scripts & Connection Notes

Scripts for connection request notes, discovery DMs, follow-ups, and video sends. These are still being tested and will be added once we've validated what converts.

✏️

Scripts Coming Soon

Connection notes, discovery DMs, follow-up messages, and closing scripts will be added here after testing with live leads.

Outbound Framework

Every cycle follows this loop. Run it once per ICP, then stack the next one on top.

01 Discover Talk to ICPs. Learn pain points.
02 Develop Build ICP-specific messaging.
03 Deploy Run outbound + DM sequences.
04 Track Review performance weekly.
05 Optimize Double down on what works.

What to Track Weekly

Connection acceptance rate — Target 30%+ with personalized notes
DM reply rate — Target 15%+ on discovery messages
ICP feedback themes — What pain points keep coming up?
Calls booked per week — Target 5+ from LinkedIn outbound alone
New placements generated — The only metric that actually matters
Best-performing DM script — A/B test connection notes and openers

Quarterly Review Checklist

Have I chosen ONE ICP to focus on first?
Do I have 15+ discovery conversations completed?
Am I sending 50 personalized connection requests/day?
Do I know which DM scripts are landing (and which aren't)?
Can I show 3-5 warm leads or high-interest conversations?
Have I moved to ICP #2 after optimizing ICP #1?

Pod Plug — Internal Strategy Document

Built with Claude Cowork + Apollo AI