Operator-led GTM systems & engineering
Find what's holding your revenue engine back. Build what comes next.
We start with a complimentary GTM Diagnostic, examining your entire sales process—from targeting and prospecting to pipeline management, sales execution, and conversion. Then we help you close the gaps through fractional leadership, outbound program builds, and modern GTM engineering.
Services
Diagnose. Build. Lead. Automate.
One system. Start wherever your motion actually is.
We cap concurrent engagements to keep delivery 100% hands-on.
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GTM Diagnostic
Start with Diagnostic Light. If the problem runs deeper, the Deep Diagnostic goes to the root of it.
Diagnostic Light — Free
One 45-minute session, two short interviews, one page of findings — the leak and the fix.
Deep Diagnostic — Paid
The full diagnostic. Confidential interviews across leadership, marketing, AEs, BDRs, and SDRs, live ride-alongs, call reviews, and an activity truth-check — across behavior, skills, processes, plan, and motion. You get a findings deck and a roadmap, reported back to you.
Why TierneyLabs
We build. We don't just advise.
GTM doesn't need more tools. It needs more leverage.
Strategy + Execution
We don't stop at recommendations. We build the systems.
Playbooks + SOPs
Your GTM motion becomes repeatable, documented, and scalable.
Data + AI
We connect your data, signals, workflows, and AI to improve execution.
Operator experience
We've been the BDR, carried AE quota, run enterprise accounts, and led teams. We've done the jobs we're helping you improve.
Diagnose. Build. Lead. Automate.
Who this is for
Sound familiar?
For sales teams where:
- Activity is up, but pipeline is flat.
- Outbound isn't producing enough qualified opportunities.
- GTM processes live in people's heads.
- Data and tools are disconnected.
- The team needs better systems, not another strategy deck.
- Leadership wants a repeatable GTM engine.
Where you are today
The motion doesn't exist yet.
Or it lives entirely in the founder's head.
Best fit: GTM Diagnostic, then Outbound Program Build.
Never built outbound →Reps are in seat. Results are flat.
Activity, but no system between the team and the number.
Best fit: Fractional Leadership or Outbound Program Build.
SDRs with no manager →The program works. The plumbing doesn't.
Manual research, decaying data, routing nobody trusts.
Best fit: GTM Engineering or Fractional Leadership.
Outbound isn't working →You sell well at home. The US is another story.
US buyers, US signals, US hours, US compliance.
Best fit: International → USA, then GTM Diagnostic.
Entering the US market →Common questions
Do you replace my reps?
No. We make your reps dangerous. We build the system around them: targeting, messaging, process, and coaching, then train them to run it. If you don't have reps yet, we help you hire and ramp the right ones.
Why can't I just use AI myself?
You could. AI isn't the advantage. Knowing what to build, what to trust, and how to apply it is. We combine multiple AI models with your real ICP, calls, win notes, and pipeline — then add human judgment where it matters. AI gives you leverage. We give it direction, systems, and accountability.
What does it cost?
Engagements typically run between $3,000 and $18,000, depending on scope. You get the exact price and exact scope on the first call, before you commit to anything. No surprises.
Case studies
Built from zero. Twice.
RSA Security · Americas outbound
Dec 2024 – Aug 2026.
Cold Email Hackers · Two new verticals
Over 3 months.
See the work
Samples of the work.
Redacted samples. Real formats, no client data.
Diagnostic Light, up close.
DIAGNOSTIC LIGHT — FINDINGS (SAMPLE)
Illustrative sample. Company details fictionalized. No client data.
Example Co. — 26-person sales team, ~$6M revenue.
Summary: Activity is high, pipeline is flat. The leak is targeting and follow-up, not effort.
Finding 1: 61% of outbound touches hit accounts with no buying trigger in 90 days. Finding 2: 43% of positive replies got no follow-up within 48 hours. Finding 3: 2 of 3 sequences ask for the meeting in email 1.
Root causes: targeting without signals; no follow-up SLA.
30-60-90: fix the list, install the SLA, rebuild the first three emails.
Full findings stay confidential to the client. This sample shows the format only.
One page from the playbook.
PLAYBOOK — SAMPLE PAGE (REDACTED)
Signal-triggered list build (weekly)
- 1. Define the trigger — hiring, funding, or tech change.
- 2. Pull the list and enrich every record.
- 3. Score and tier before anything is sent.
- 4. Assign with a speed-to-lead SLA.
- 5. Human QA review before send — no exceptions.
Owner: the operator. Human review required at step 5. Format sample only — client playbooks are built per motion.
Watch it run — 60 seconds.
One GTM engineering workflow, running end to end: a meeting ends, the recap lands in the CRM, the next step is set, and the digest updates. Filmed on a real client system with client details removed.
Video coming — the workflow is filmed, names and numbers removed.
About me
I'm Lucas Tierney. Here's why I started TierneyLabs.
I've spent 7 years in sales and GTM, working as both an individual contributor and a leader at high-growth companies — including ZoomInfo, Forrester, and RSA Security.
I've built teams and outbound motions from the ground up to drive net new logos. Along the way, I've worked with hundreds of sales reps, marketing, RevOps, and GTM leadership teams — and kept hearing the same things:
“There isn't really a process. Everyone does things their own way.”
“We're spending way too much time doing things manually.”
“We have all this data, but we're not using it to make better decisions.”
“We got trained once, but there's no reinforcement.”
The frustrating part is that these companies usually aren't missing resources. They have talented people, strong products, and real investment in technology, training, and RevOps. They still aren't reaching their potential.
More technology or more headcount doesn't fix a GTM motion that lacks the systems, processes, data, and accountability underneath it.
The problem usually isn't effort. It's the system.
That's why I started TierneyLabs. The goal isn't to create something that depends on me. It's to build a system your team can run, measure, improve, and scale after I'm gone.