Real use cases.
Real ROI.

Marketing teams use us to get in front of their key decision makers in less than 4 weeks.

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
a mail icon

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
a mail icon

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
a mail icon

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
Can't engage executives?
Real Numbers
1:1 ABM automation that pays for itself, fast.
$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