Revenue Operations · Rebuilt for the AI Era

One revenue engine,
coherent enough
to build AI on.

Growth bolts on a tool, a motion, a team at every stage, until the revenue engine leaks at the handoffs and can't be automated. Leads to Renewals rebuilds it, from lead to renewal, into one coherent, AI-ready system. Led by an operator with 15 years in commercial operations.

Operator experience at
Avid Technology Bonterra Aurea Software WP Engine BigCommerce

"Agentic AI will run your revenue operation. The only question is whether you designed it first."

Why Revenue Operations Now

AI moved revenue operations
to the center.

For years the machinery behind revenue was back-office plumbing few leaders thought about. AI changed that. Agents can now run, price, and act across the commercial lifecycle, but only as well as the operation underneath them allows. How a company's revenue engine is wired has quietly become a competitive variable.

01

AI rewards coherent operations

Agents can be deployed across a revenue engine only where the motions connect and the data can be trusted. Coherence is what turns AI from a demo into leverage.

02

The lifecycle is one system

Marketing, sales, onboarding, and retention rise and fall together. Run as separate tools and teams, value quietly leaks in the gaps between them.

03

Operations is now the edge

How well revenue is wired used to be invisible. In the AI era it separates the companies that can automate, move fast, and compound from the ones that stay stuck.

"
Revenue rarely breaks in one place. It breaks in the seams between teams, processes, and systems. AI amplifies what already works and exposes what doesn't.
Gabe Bigger, Leads to Renewals
Three Ways to Engage

Rebuild your revenue engine
for the AI era.

One thing, done at a high level: rebuild fragmented revenue operations into one coherent, AI-ready system. Capacity is limited; most engagements begin with the Diagnostic.

Start Here

Revenue Operations Diagnostic

2 Weeks  ·  Fixed Engagement

A 2-week read on where your revenue engine is fragmented, and what a rebuild would take. Often credited toward what comes next.

By quote scoped to your engine
Learn More
Embedded Leadership

Fractional Head of Revenue Operations

Monthly Retainer  ·  6-Month Minimum

An embedded retainer that keeps your revenue engine coherent and AI-ready, a part-time operator on your leadership team.

By quote scoped to your engine
Explore the Fractional
The Track Record

Operator experience at scale,
across every stage.

$1B+
Combined ARR protected and scaled across all operator roles
15+
Years designing global revenue and quote-to-cash systems
90%
Customer retention achieved at Aurea Software ($200M ARR) and Hubilo
5
PE-backed and high-growth companies where the founder led revenue and retention
Avid Technology
$250M ARR · Global renewal redesign · PE-backed
Bonterra
$250M ARR · 11 acquired units unified · PE-backed
Aurea Software
$200M ARR · Fortune 500 EMEA · PE-backed
WP Engine
$40M → $80M ARR in 18 months · Series B
BigCommerce
$2M → $40M ARR · Series A through D
GB
About the Founder

Built for operators,
by an operator.

Gabe Bigger is a 15-year revenue operator and the founder of Leads to Renewals. His career has been one challenge on repeat: taking fragmented revenue operations and rebuilding them into systems that run as one, across PE-backed acquisitions, hypergrowth SaaS, and Fortune 500 accounts, from $2M to $250M ARR.

His thesis is simple: AI rewards companies whose revenue engine is coherent enough to automate, and punishes the ones held together by manual handoffs. The companies that rebuild now compound the advantage.

15 Years
In commercial operations across SaaS and technology
Austin & Lisbon
Based across the US and Europe · Mentor at Unicorn Factory Lisbon
$1B+
Combined ARR protected and scaled across 15+ years
5 Firms
PE-backed and high-growth companies led
Book a discovery call with Gabe
How We Think

What we believe.

Pillar I
Top of funnel activities drive everything.
Demand generation sets the ceiling for everything beneath it. Pipeline quality, win rates, and net retention all inherit the targeting and intent captured at the top of the funnel.
Pillar II
High-fidelity data is critical to automation.
Automation is only as good as the data underneath it. Clean records, consistent definitions, and reliable attribution are what let AI scale results instead of scaling mistakes.
Pillar III
Systems are the foundation of scalable growth.
Repeatable growth lives in the systems, not in individual reps. A connected stack and clear lifecycle stages let pipeline scale without adding headcount for every new dollar of revenue.
Pillar IV
AI is a must-have, not a nice-to-have.
Across the go-to-market motion, from lead scoring and routing to forecasting and renewals, AI is now table stakes. The gap between teams that operationalize it and teams still piloting it widens every quarter.
Pillar V
People are still important.
Automation handles what repeats; people own the relationships and the judgment calls. The strongest go-to-market teams put AI on the workflow so reps spend their time where trust is built.
Ready to Rebuild

Agentic AI won't wait for
you to be ready. Neither
should your engine.

Book a 30-minute discovery call. We'll talk through where your revenue engine is fragmenting, what a rebuild would take, and whether there's a fit for working together.