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Advisory · ImplementationVol. I, No. 8 — Houlton, Wisconsin

Building the systems that create, retain, and grow revenue.

Operator-led advisory and implementation for local media: rebuilding the revenue that funds the journalism.

Twenty years carrying the number, now building the systems that make revenue durable enough to fund the journalism.

The Approach

Create, retain, and grow revenue.

The best engagements change how an operation makes money for years at a time. AI speeds the build where it earns its place in the workflow; operator judgment decides where that is.

Create

01

New revenue that didn't exist before.

Stand up the products, pricing, and pipelines that open new lines of revenue, built on the assets you already own: the audience, the relationships, the trust. Research and competitive intelligence find the opening; disciplined product and pricing work turn it into income.

Retain

02

Revenue that holds, at a cost that makes sense.

The revenue that lasts is the revenue you keep. Tighten the operation so growth compounds: renewal motion, cost governance, the unglamorous systems that protect both clients and margin. I've held retention above 90% by building for it on purpose.

Grow

03

Compounding, forecastable, fundable.

Forecasting, contract-aware pricing, and operations that scale without scaling cost. Revenue you can see coming and plan against: the base that lets a local newsroom keep reporting.

By the Numbers

A track record, not a pitch deck.

$40M

Annual revenue

Recurring revenue engineered to fund the operation year after year, built to hold its curve.

92%

Client retention

Held above 90% by building the operation to keep clients deliberately.

Built By An Operator

The judgment comes from running revenue.

Built Revenue is operator-led revenue systems, accelerated by AI. Not AI consulting from someone who's never carried the number.

I wake up every morning thinking about ways to save local media. And often several times in the night. I've spent two decades inside media and agency businesses: leading teams, owning the revenue number, building and pricing the products, and putting the operating rhythm in place so growth holds. The same years built the relationships across the ecosystem: the vendors, the platforms, and the operators, known by name.

More recently, I've built AI tools that replace expensive platforms, compress research cycles, surface competitive intelligence, and carry the repeatable work inside daily revenue workflows. The edge comes from knowing which parts of the revenue system are worth rebuilding. The AI only makes the rebuild faster.

Production AI, shipped

From five-figure-a-month software to a sub-$500/month operating system.

The platform wasn't built for the operation: seat licenses, an onboarding fee, a quarterly business review nobody asked for, and a daily workflow bending around someone else's product. The replacement was built in-house around how the day actually runs, with research, competitive intelligence, automation, and the revenue workflow in one system. Cheaper, by $264K+ a year. Faster through a cycle. And purpose-built, which is the part that matters most.

Custom packages built to what each client actually needs, priced with the margin math inside, not generic tiers. The tools now make that custom work fast enough to run at scale.

How it runs →

Free and AI-led: a short adaptive interview about how the operation makes money, ending in a branded read and a 90-day plan, emailed to you. The no-meeting on-ramp to the diagnostic.

How it runs →

Who It's For

Local media, first.

01

Local media

Newsrooms and local publishers that need revenue strong enough to fund the journalism: diversified beyond a single channel and engineered to last. This is the problem the whole practice is built around, and the work I wake up thinking about.

The longer answer →
02

Agencies

Agencies that want to productize what they do best, sharpen pricing and retention, and run leaner without losing the craft that wins the work.

03

Not a fit

If what you want is a generic AI training, a motivational workshop, a software reseller, or a deck with no implementation path, we'll both be happier apart. And to the firms already cold-emailing offers to fix this website's SEO: the build is part of the pitch. It isn't outsourced.

How We Work

I advise. I also build.

Most advisors hand you a deck and leave. This goes further: into the operation, the systems, the revenue itself. Nothing prefab, either: every build starts from the operation you actually run, not a shelf of stock answers.

Advisory

Strategy grounded in twenty years of running revenue operations. Where the revenue that holds is, what to build, what to stop, and the sequence that gets you there. Competitive intelligence and a clear-eyed read of the operation you actually run.

  • Revenue diagnosis and opportunity mapping
  • Pricing, packaging, and retention strategy
  • Where AI earns its place (and where it doesn't)

Implementation

Then I build it: pricing engines, forecasting, operations tooling, AI assistants embedded in the daily workflow. Production systems, shipped and running. The plan and the build come from the same hands.

  • Custom revenue and operations platforms
  • Forecasting and contract-aware pricing engines
  • Domain-aware AI built into the workflow

One Option, When It Fits

I stay agnostic about the answer. Some clients need a recommendation, some need help building their own, some need a system provided. My job is to weigh those honestly and help you choose. When the answer is a system I can run —

localmediadesk

Revenue Operating System

this is the one I built.

Local Media Desk is a revenue operating system — six desks that carry a deal from first contact through fulfillment. I built it, I can run it, and I put it forward when it fits. When it doesn't, I'll say so.

Research · Planning · Proposals · Compliance · Pipeline · Execution

Point of View

The cliff is close.

The answer isn't philanthropy. It's reimagining how local journalism gets funded.

Local journalism is running out of road. If we don't solve how it gets funded, and soon, much of it will simply be gone. And with it goes the thing that keeps a community honest with itself: someone in the room, asking the hard question and writing down the answer. After living through the last several years in Minnesota, I can't imagine what we'd do without local journalists. That should scare all of us. It scares me.

Grants and goodwill can buy time, but they don't build something that lasts. Funding local journalism for the long run means rebuilding how it makes money: new products, sharper pricing, revenue engineered to compound year over year.

This is the long build: the systems that create, retain, and grow revenue, so local media gets to keep doing what only it can do.

Field Notes

The series so far.

Dispatches on rebuilding local-media revenue, from inside the operation.

No. 08·July 9, 2026·8 min read

Build, Buy, or Partner

Some shops rent everything and bend the operation around someone else's tools. Some build everything and quietly become software companies with one customer. Both are defaults. The skill is the call: build, buy, or partner, one system at a time.

No. 07·July 6, 2026·5 min read

The Revenue Stack

No single line saves local journalism. The durable model is a stack: habit, ads, readers, intelligence, services, verticals, events, and retention, each doing a different job.

No. 06·June 29, 2026·6 min read

The Competition Isn't Local

The publisher one county over was never the threat. A dollar split with a neighbor stays in local journalism. A dollar sent to the platforms never comes back.

— Field Notes, by email

One argument. Read it at your pace.

Field Notes publishes one essay a week — how local journalism gets funded, what to stop doing, what to build, and in what order. Read along as it runs, or take the whole thing at once.

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Start a Conversation

Send me the revenue system that keeps breaking.

Bring the operation as it is, not as it looks in the board packet. In an hour we can usually see the shape of it. If there's a path, we'll both know. And if you just want to argue with something I wrote, even better: the sharpest disagreements are where the real work starts.

I'm not the right partner for generic AI training, motivational workshops, software reselling, or decks with no implementation path.