PetLab Co. was already the world's fastest-growing pet supplement brand: bootstrapped, profitable, 9-figure. What got them there wouldn't get them where they wanted to go. We re-architected the marketing engine around generative AI. Revenue rose 50% year over year.
Bootstrapped to nine figures by 2022, but the marketing engine that built the company
wasn't the one that would scale it.
So we rebuilt the engine.
PetLab Co. was established in 2018 and became the world's fastest-growing pet supplement company: nine-figure revenue by 2022, bootstrapped, profitable, and still moving fast.
The growth created a different problem: a marketing engine designed for a smaller scale was now the constraint. Creative production was a human-shaped funnel: every ad, every variant, every test was a head-count expense. Throughout 2023, AI-ccelerator (led by Dr. Michael Housman) led a comprehensive re-architecture of PetLab Co.'s platform with one goal: turn the marketing engine into something that compounds, not something that scales linearly with hires.
Four constraints stacked on top of each other: each one tolerable on its own, all four together a hard cap on growth.
Slow generation of diverse and engaging content: couldn't respond to real-time marketing dynamics.
Traditional content workflows limited the team's ability to produce innovative ads that resonated across diverse audiences.
Excessive time and resources spent on production, pulling marketing away from strategy and analysis.
Couldn't scale campaign volume without proportional increases in headcount and overhead.
Marketing becomes a closed loop: create → launch → gather → create. AI-driven creative generation produces on-brand variants at production scale; campaigns launch; performance data and audience feedback come back in; the next round of creative is informed by what just worked. The loop runs continuously.
AI-driven creative generation produces on-brand ad variants (product imagery, lifestyle scenes, copy) across every format the team ships.
Campaigns ship faster, in more variants, across more audiences. Production stops being the bottleneck.
Performance data and audience feedback flow back in: what landed, what didn't, on which segment.
Next round of creative is generated against what the data just said. The loop closes. The team's job becomes the loop, not the artifacts.
AI doesn't replace the marketer: it removes the part of the job that scales worst.
Two charts tell most of the story: campaigns got dramatically cheaper to produce, and the team shipped dramatically more of them. Revenue followed, not in lockstep, but with the lag you'd expect from a media engine warming up.
Velocity on its own is vanity. The honest measure is whether the new engine made money. Revenue hovered in the $10.5M–$11.5M range through early-to-mid 2023 while the loop was being built and tuned, then climbed steadily from mid-2023 forward, peaking near $16M in January 2024 before easing slightly in February.
"AI doesn't replace the marketer: it removes the part of the job that scales worst, so the marketer can spend their time on the part that compounds."
The ThroughlineEvery Engagement
Every engagement starts the same way: a workflow audit, a time-capture, and a short list of pain points addressable with tools that already exist. Then we get into the room and rebuild the loop.
