Why I Built Apogee Marketing
July 3, 2026 · 2 min read
Originally published on LinkedIn →Ten years. That’s how long I spent building marketing analytics systems for companies spending tens of millions of dollars a year on advertising. Attribution models, dashboards, forecasting, the full enterprise toolkit, built for teams with dedicated data engineers and platform budgets bigger than most small businesses’ entire annual revenue.
Then I’d leave the office, meet up with friends running small businesses of their own, and watch them make decisions with none of that. Not because they were less capable. Because nobody had ever built them the equivalent, and they had no realistic way to access it.
The gap that wouldn’t leave me alone
One friend ran a landscaping company and had no idea which of his ad channels actually produced paying customers versus tire-kickers. Another ran a boutique studio and was making six-figure decisions about which location to expand next based on foot traffic she was eyeballing, not measuring. These weren’t unsophisticated people. They just didn’t have access to the tools and systems that had become completely routine at the enterprise level I’d been working in.
That gap is what Apogee Marketing exists to close.
What changed to make this possible
For most of my career, that gap wasn’t closeable. Building real marketing analytics infrastructure required a team: a data engineer, an analyst, months of setup, and a budget that started at five figures a year before anyone touched a keyboard. There was no version of that work priced for a business doing a few hundred thousand dollars in revenue.
What changed is that AI-assisted development collapsed the cost of building that infrastructure. Work that used to take a team of three people two months now takes one person a couple of weeks. That’s not a marginal efficiency gain. It’s the difference between “small businesses can’t afford this” and “small businesses can absolutely afford this.”
I spent a decade building things only companies with eight-figure budgets could access. I started this company because I realized I could finally build the same caliber of system for a business spending a few thousand dollars a month, not a few million.
What this actually looks like
I take what I learned working with real enterprise budgets and complexity, and I build a stripped-down, right-sized version for businesses that never had access to it. Same underlying principles: connect your data, track what actually matters, build systems that answer real questions instead of producing vanity metrics. Just built for a business with one location and a five-person team instead of a Fortune 500 marketing department.
If you’ve ever felt like real marketing infrastructure was something only big companies could afford, I built this company specifically because that’s no longer true. Let’s talk about what it looks like for yours.
Written by Michael Masner
Building AI-powered marketing and data systems for small and mid-sized businesses.
Get in touch →More Insights
Thirty Days Is the Wrong Window
October 29, 2026
The platforms report monthly, so a month becomes the unit. For a business with a long decision cycle and a busy season, thirty days says as much about timing as it does about performance.
Read more →
The Calls Nobody Answered
October 27, 2026
For a service business, the most expensive part of marketing can be the calls nobody answered. Those leads show up nowhere in your reporting, and they're usually the cheapest thing to fix.
Read more →
Vague Briefs Get Vague Marketing
October 23, 2026
Most of the conversation about AI is about which tools to use. The step before any of them is knowing what you want clearly enough to say it, and that applies to a campaign brief as much as it does to code.
Read more →