Cybersecurity · Pre-revenue to Series C

GTM Engineeringfor cybersecurity.

Positioning, buyer intelligence and signal-led outbound — engineered into one system that builds pipeline without adding headcount.

We have done it all
AppSecAI SecuritySaaS Security DSPMCTEMTPRM SIEMIAMand more
GTM
Engine
Central Core
01Positioning Engine
  • ICP & buyer personas
  • Value proposition
  • Messaging framework
02Buyer Intelligence
  • Company insights
  • Buying committee
  • Intent signals
03Signal Detection
  • Intent & trigger events
  • News & funding
  • Technographic signals
04Outreach Engine
  • Multi-channel sequences
  • Personalization at scale
  • Deliverability & timing
05Pipeline Growth
  • Meetings booked
  • Pipeline generated
  • Revenue influence
Security and devtools teams we build pipeline for
Endor Labs Vorlon Nyuway Flowace AI TechGropse nRev Design Boxed Lovely Bake Studio Endor Labs Vorlon Nyuway Flowace AI TechGropse nRev Design Boxed Lovely Bake Studio
Proof

Security operators trust us in markets others avoid.

★★★★★

Quality data is essential to a successful B2B outbound motion. ONEGTMLAB not only helped us streamline our prospecting data engine — they layered on domain expertise in cybersecurity to prioritize outreach to prospects with the most relevant propensity and timing signals.

They are the one-stop shop, both in building out a nascent go-to-market practice and scaling your ever-growing GTM needs.

Eric Wong
VP of RevOps, Endor Labs
Eric Wong of Endor Labs
★★★★★

It's really hard to find a growth agency that gets it. So many skills need to come together to move the needle — product marketing, go-to-market engineering, and understanding of current processes, personalities and programs.

My experience with OneGTM Labs has been terrific. I recommend them without hesitation, which I can't say about 90% of the agencies I've worked with over my 20-year career.

Elias Terman
VP of Marketing, Vorlon
Elias Terman of Vorlon
SIGNAL_PIPELINE.run LIVE

From Signals to Revenue

Real-time pipeline of high-intent opportunities
01
Signal detected
CVE · CISO hire · funding
Detected
02
Account enriched
clay · technographic
Enriched
03
Fit + intent scored
A1 to I tiers
Scored
04
Routed to play
1:1 · 1:few · pool
Routed
05
Multi-channel touch
email · linkedin
Engaged
06
Meeting booked
synced to CRM
Booked
3–5x
reply rate vs
cold blast
2.4x
pipeline
conversion
80%+
signal
accuracy
Powering pre-revenue cybersecurity GTM
⟩⟩ SIGNAL_PIPELINE.runLIVE
Real-time monitoring
01
02
03
04
ENGINE
AI WORKFLOW CORE
Strategy1 Week
  • Positioning
  • ICP & personas
  • Messaging
  • Competitor analysis
Buyer intelligence2 Weeks
  • Signal stack
  • Enrichment
  • Scoring
  • TAM mapping
GTM build2 Weeks
  • Sequences
  • Domains & inboxes
  • Routing engine
  • Automation
Launch & scaleOngoing
  • Outbound live
  • Meetings booked
  • Pipeline growth
  • Optimization
500+
Meetings booked
$120M+
Pipeline generated
3.5x
Pipeline efficiency
40+
Cybersecurity companies
Your pipeline, in numbers
0
Meetings booked, a live week — ▲ 18% vs last
0
Accounts in-market, tracked in real time
0
Avg reply rate — 3-5x cold baseline
0
Pipeline influenced, synced to CRM
Under the hood · Buyer intelligence

We go deeper than any list ever will.

Most agencies buy a list. We engineer a living buyer-intelligence layer — firmographics, technographics, buying power and real-time intent, scored to the individual contact. A real architecture we run for a cybersecurity client, not a mockup.

~20K
Accounts enriched & scored
100K+
Contacts in the pipeline
9
Persona tiers, A through I
<2%
Email bounce rate
GTM signal architecture
40%
Firmographics
TAM accountsSWE headcountEng % of workforce DevOps headcountGrowth / EnterpriseIT-consultancy filter
40%
Technographics
AWS / GCP / AzureGitHub ActionsJenkins GitLabC++ / Java / BazelContainers src: HG Insights · BuiltWith · job posts
20%
Buying power
Series B+ / Unicorn / IPO-readyFunding · Crunchbase Security hiring velocityRevenue bands
Signal → scored → routed
Intent
CVE · breach · funding
Firmographic
TAM · headcount
Technographic
cloud · CI/CD
Buying power
funding · hiring
Enrichment
Clay · waterfall
Scoring engine
A1 → I
fit + intent, per contact
Fit + intent score
9 persona tiers
Routed play
1:1 · 1:few · pool
Intent signals we watch · src: Claygent · CommonRoom · HG Insights
FedRAMP / SOC2Security breachCVE / zero-day Funding eventWebsite intentDevSecOps hiring CISO job changeAI / ML hiringM&A activity Social listening · Reddit
Buyer intelligence · persona priority
★ Highest priority

CISO

Information Security
CXOA1VPA2MgrA3Sr.EngA4
High priority

AppSec

Application Security
VPB2MgrB3Sr.EngB4
High priority

DevSecOps

DevSecOps
VPC2MgrC3Sr.EngC4
High priority

ProdSec

Product Security
VPD2MgrD3Sr.EngD4
Medium priority

DevOps / AISec

DevOps / AI Security
VPE2MgrE3Sr.EngE4
Medium priority

Cyber / InfoSec

Cyber / Info Security
VPF2MgrF3Sr.EngF4
Medium priority

Cloud / Platform

Cloud / Platform
VPG2MgrG3Sr.EngG4
Low priority

Engineering

Engineering
CXOH1VPH2MgrH3Sr.EngH4
Low priority

Procurement

Procurement
I tierlast resort
Priority legend
A
Highest priority
Primary decision makers
B–D
High priority
Key influencers
E–G
Medium priority
Supporting roles
H–I
Low priority
Low influence / last resort
Key insights
Focus on A & B tier
They drive the majority of buying decisions.
Engage early
Involve leaders before technical evaluation.
Expand influence
Move from B to A through value & trust.
4A-tier roles
Highest priority
9B–D tier roles
High priority
9E–G tier roles
Medium priority
5H–I tier roles
Low priority
Focus smarter
Build stronger relationships with the right stakeholders.
Exclusion engine

7-point consultancy filter

  • Product, platform and pricing page checks
  • App-login and dev-portal subdomain checks
  • SI implementation-partner fingerprint
  • Flagged accounts marked down 50 points
Persona precision

20 to 40 keywords each

  • Exclusion keywords per persona: IAM, firewall, GRC, forensics
  • Real AppSec domain expertise, not keyword matching
  • Competitor displacement sets mapped inside the TAM
Data freshness
<2%
bounce rate, from real-time enrichment on every record — versus 15-20% stale on default Apollo or Clay pulls.
See what we would build for you.
First name and work email. Your calendar opens on the next screen.
The shift

Your outbound is not broken. It is unengineered.

Security buying committees have never been noisier. Winning outbound is not about volume — it is about reaching the right account at the exact moment they are in-market, with a message built from their own signals.

Duct-taped outbound
  • Scraped lists that never sync back to the CRM
  • The same generic pitch to a CISO and a DevOps lead
  • No signals, no timing, no idea who is in-market
  • SDRs drowning in manual research
  • Your brand burned in a market where everyone talks
Engineered GTM
  • Signal-triggered plays that fire the moment intent appears
  • Messaging built from real buyer language, per persona
  • Fit and intent scoring that routes effort to the right accounts
  • Enrichment and orchestration that run without humans
  • Live dashboards your Monday review reads in ten minutes
The gap, measured
Other GTM agencies ONEGTMLAB
Cyber & devtools fluency
ThemOut of depth
UsDomain fluent
Signal & intent data
ThemRandom scraped lists
UsReal buyer signals, timed
Deep enrichment
ThemSurface firmographics
UsWaterfall, per account
Account-based motion
ThemBulk blasts
UsTiered, multi-threaded
What you keep
ThemA rented service
UsYou own the whole engine
Book the call

Thirty minutes.
No deck. No pitch.

You leave with your ICP sharpened, the security signals worth watching in your segment, and the fastest path to qualified pipeline. Whether or not you work with us.

The same call Endor Labs and Vorlon started with Limited cyber slots each quarter US hours available

See what we would build for you.

Two fields. Your calendar opens on the next screen.

90% of our clients sell into security. We will already know your market when you show up.