Enterprise: Retail + CEOs
Mid-Market: Real Estate + MDs
Enterprise: Logistics + CCOs
Enterprise: Retail + CEOs

Retail Sponsorships for Car Rally
Outcome
36+ positive replies from decision-makers across two post-conference campaigns. $2M deal secured via executive meeting landed with an SVP at the world's largest gaming company.
Use Case
AI Agents for In-Person Events
Problem
- Attended two conferences, but little to no ROI
- $27,000 spent before we were hired to help
AI Agents: Workflow
- Auto-scrape ~5,000 attendee profiles; dedupe and enrich (email, phone, LinkedIn, address)
- Auto-qualify in plain English (e.g. companies w/ previous Super Bowl sponsorship)
- Auto-score in plain English (e.g. email companies w/ highest influencer marketing spend first)
- Auto-craft personalized messages; automate multi-channel follow-ups (email/LinkedIn)
Mid-Market: Real Estate + MDs
Dinner Campaign Targeting Managing Directors
Outcome
52+ key decision-maker RSVPs that drove $1.83M in weighted revenue ahead of MIPIM, the world's largest real estate conference.
Use Case
AI Agents for In-Person Events
Problem
- Too many attendees to qualify pre-event (25,000+)
- Sales team stretched
- $10,000s already committed to the conference
AI Agents: Workflow
- Auto-scrape ~25,000 attendee profiles; dedupe and enrich (email, phone, LinkedIn, address)
- Auto-qualify in plain English (e.g. firms selling >$1M multi-storey villas)
- Auto-score in plain English (e.g. email firms with properties in Monaco first)
- Auto-craft personalized invites; automate multi-channel follow-ups (email/LinkedIn)
- Post-event sequences: physical thank-you notes, etc. (automated but appear "handwritten")
Enterprise: Logistics + CCOs

1:1 Mail Campaign Targeting CCOs
Outcome
$1.7M in weighted pipeline in 5 weeks and 9 executive meetings from 15 Dream100 targets (60% meeting rate).
Use Case
AI Agents for Direct Mail
Problem
- Enterprise access is gated
- Generic outbound is ignored
- Reps lack time for deep research
- Direct mail logistics (sourcing, shipping, tracking) slow campaigns
AI Agents: Workflow
- Auto-enrich Dream100 with executive insights (podcasts, press, family history)
- Auto-research personal hooks; draft ultra-personalized outreach variants
- Auto-source, purchase, and ship deeply personal gifts with budget controls/approvals
- Auto-address verification, shipping tracking, and delivery confirmation (+ CRM logging)
- Auto-sequence follow-ups (email/LinkedIn/phone calls) until meeting is set
as seen on the 20vc podcast
Send experiences, not emails.

hyperGTM in Action - Events & Direct Mail
Doing the unscalable, at scale.
Events: Manual Process
- Enrich 25k+ attendees; emails/LinkedIn (450+ hrs)
- Qualify & score attendees by ICP fit (200+ hrs)
- Craft 1-1 personal messages + follow-ups (35+ hrs)
- Research before meeting F2F (podcasts, YouTube)
- Chasing sales to follow up with MQLs (infinite...)
hyperGTM
(in minutes)
- Agent scrapes portals and enriches contacts
- Agent decides who to contact and in what order
- Agent sends personalized (a/b), multichannel invites
- Agent researches 500+ hours of prospect interviews
- Agent sets and tracks attendee follow-up actions
Direct Mail: Manual Process
- Social media research for exec. gift ideas (125+ hrs)
- Source gifts, manage vendors & budgets (50+ hrs)
- Verify addresses, write/print notes, pack (15+ hrs)
- Track shipments & chase delays (8+ hrs)
- On delivery, update CRM follow up tasks (9+ hrs)
hyperGTM
(in minutes)
- Agent researches 500+ hours of prospect interviews
- Agent sources/approves within budget and orders
- Agent verifies addresses, writes notes, and ships
- Agent tracks delivery and flags delays proactively
- Agent triggers follow up messages for exec. and EA
$35,350
/mo
Avg. cost saved across sales and marketing teams
163
hours/mo
Avg. time reclaimed from manual 1:1 ABM work
4x
more ABM campaigns
Campaign throughput increase within 7 days

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