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Case study · Scaling a new venture

Building the engine that sold a premium domain at scale.

Intercap Registry was built around a deliberate bet: price .inc at roughly $2,000 per year so strong corporate names would remain available to real businesses rather than being accumulated by speculators. I joined the founding team as Managing Director while the company was still in legal formation, with a mandate to finish building the operating company and create the direct-sales capability behind the launch. Over the following years, .inc grew to approximately $8 million in recurring revenue.

Role
Managing Director, founding team
Business
Premium domain registry
Engagement
Operating build
Team built
6 to 8 people

How I work: I find the problem or opportunity, determine what capability is missing, build it, put it to work and measure what happens.

01 · Discover

The situation

The product strategy was clear. The operating company and sales model were still being built.

I joined while Intercap Registry was completing its legal formation. The sales team had to be hired, the core infrastructure put in place, and the company still needed a repeatable way to create demand for a premium-priced domain.

Two broad channels were developing in parallel. Marketing created awareness, while a domain-industry specialist established the wholesale and reseller relationships needed to distribute .inc and trained those partners to sell it.

My focus was the direct channel: identify the end users with a reason to own a specific .inc name, find the person closest to that decision, and reach them directly.

02 · Assess

What was really missing

Sunrise exposed the real sales insight.

Sunrise is the period before a new domain becomes publicly available, when trademark holders get the first opportunity to secure names matching their marks.

Trademark holders were already a known audience. The missing link was the person who had both the information and the obligation to act.

Using USPTO records, I could identify the attorney of record behind a trademark. Those attorneys had a professional duty to alert clients when their brands could be exposed if a matching domain fell into someone else's hands.

That changed the sales model. Instead of relying only on broad awareness or third-party distribution, we could reach the person already responsible for protecting the brand.

03 · Plan

The plan

Prove the direct-sales model in Sunrise, then apply the same logic to broader segments after launch.

The approach was simple: find a segment where .inc solved a real business problem, reach the right person with a specific domain recommendation, measure what happened, and scale the strategies that produced results.

For many businesses, the value proposition was strong. Their exact-match .com was already owned, actively used or available only at a six- or seven-figure acquisition price. A premium .inc offered another route to a clean, exact-match corporate identity.

The goal was to keep finding the segments where that value proposition was strongest and turn each successful segment into a repeatable sales motion.

04 · Build

What I built

  • A direct sales team. I hired and led a 6 to 8 person operating team, including the sales capability needed to turn broad market opportunity into direct end-user conversations.
  • A layered contact-data stack. Manual and offshore research made the first target lists actionable. As volume grew, Crunchbase helped identify the right companies, Apollo provided broad email coverage economically, and ZoomInfo supplied verified business emails and direct-dial phone numbers. When an email generated an open or click, the rep had the phone number for the person already engaging.
  • Micro-segment targeting. Campaigns became increasingly specific: public and private companies, executives, trademark holders, industries and recently funded businesses. One especially useful segment was recently funded companies operating on workaround domains such as getbrand.com or brandapp.com, because their exact-match .com was unavailable or prohibitively expensive.
  • A domain recommendation engine. Outreach suggested the .inc name that best fit the company, usually the exact brand match, and expanded over time to the full company name, acronym and relevant industry-keyword alternatives.
  • Name-match attribution. Sales closed through registrars, outside our systems. So from the beginning, we compared the domains suggested through direct sales with the names that were later registered. As the system matured, attribution incorporated CRM ownership, email engagement, website behavior and registrar information.
05 · Execute

How we put it to work

Sunrise became the first working sales model.

We contacted attorneys of record behind targeted trademarks and compared registrations against the outreach. Sales could be tied directly to those contacts, and that result validated the strategy. We expanded the approach using rankings of leading trademark attorneys, reaching firms that represented large portfolios of brands. Marketing and registrar distribution continued at scale, while direct sales created a targeted path to the end user.

General Availability opened .inc to the broader market. The same model was reused across increasingly specific segments: identify where .inc had a compelling business use case, reach the right person directly, recommend a relevant name, and measure the result.

As the target universe grew, automation expanded our reach. Broad, targeted email campaigns identified engagement through opens, clicks and activity on get.inc, and those signals created warmer, better-qualified leads for the sales team. The operating flow became:

targeted outreach→engagement→qualification→rep follow-up

Attribution became more precise at the same time. Suggested domains were matched to registrations, email engagement was tied to specific sequences, and get.inc showed which names prospects searched and where the traffic came from. Those signals determined which campaigns to repeat, which messages to refine and where sales effort should go next.

The growth ladder

Each stage opened the next opportunity to scale.

The direct-sales engine was built one stage at a time, each step proven before the next one was added.

  1. Formation
    Build the company. Complete the legal entity, hire the team and establish the sales operation.
  2. Sunrise
    Prove the model. Attorney-level direct outreach produces measurable registrations.
  3. Launch
    Broaden it. General Availability: the same model applied to wider end-user segments.
  4. Targeting
    Sharpen it. Better data identifies the micro-segments where the value proposition is strongest.
  5. Fall 2020
    Scale it. The automated email channel launches, qualifying a far larger market before reps step in. The core operating structure is in place.
  6. Next 18 months
    Scale and optimize. Direct sales grow toward roughly 40% of overall sales as outbound automation expands and .inc approaches $8 million in recurring revenue.
06 · Measure

What changed

Approximately $8M recurring revenue.inc grew from a company still being formed into a multi-million-dollar recurring-revenue business.
Direct sales as a core channelFrom roughly 30% of paid registrations in late 2020, direct sales became a core growth channel alongside registrar distribution and marketing.
A scalable acquisition engineFrom manually researched lists to segmented campaigns, automated top-of-funnel outreach, engagement-based qualification and targeted rep follow-up.
Measurement built into growthSuggested names, engagement, website intent and registrations connected into a practical attribution system that improved targeting, messaging and investment decisions.

Intercap grew by raising the operating ceiling one stage at a time.

What was left behind

The direct-sales engine, data infrastructure, attribution method and trained team remained in place after I left. The operation had become a durable business capability rather than a set of founder-dependent processes.

Why this matters now

The tools have changed. The judgment hasn't.

Much of the research, enrichment and workflow work that required people, vendors and custom processes during Intercap's growth can now be compressed dramatically with AI.

The harder part is still the operating judgment: knowing what capability the business needs now, what can wait, what the evidence says is working, and where the next growth opportunity sits.

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