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What Regenerative Farming Taught Me About Growth Marketing
By day, I work in growth marketing, running experiments, analyzing data, testing new strategies, and figuring out what actually moves the needle for clients.
Then I close my laptop and go outside to manage my cattle, sheep, chickens, pasture, and everything else that comes with running Light to Life, a regenerative farm and ranch.
On the surface, those seem like two completely different worlds. One involves analytical dashboards, search rankings, conversion funnels, and AI. The other involves electric fences, grass management, livestock, soil, and occasionally chasing an animal that has decided my carefully designed grazing plan was merely a suggestion.
But the longer I've done both, the more I've realized they share more similarities than meets the eye.
Experiment, experiment, experiment
If there’s one thing growth marketing and regenerative farming have in common, it’s that you’re constantly experimenting.
In growth marketing, that might mean testing a new landing page, targeting a different search intent, changing how you structure content, trying a new acquisition channel, or figuring out whether AI can improve a process.
On the farm, my experiments just look a little different.
What happens if I move the cattle every day instead of every few days? What if I give this paddock 45 days of rest instead of 30? What if I increase the stock density but shorten the grazing window? What happens if I introduce more plant diversity into the pasture?
The process is basically the same: develop a hypothesis, run the experiment, watch what happens, learn from it, and adjust. There’s never one right answer on the farm, and the same goes for marketing.
There’s rarely a point where you say, “Great, we figured it out. We're done.” And if you do, you’re only fooling yourself because there’s always another variable to test and another way the system could improve.
My cows probably don't know they're participating in A/B tests, but they absolutely are.
The system matters more than the individual tactic
One of the biggest ideas in regenerative agriculture is that you're managing an ecosystem.
You can't just optimize for “more grass.” Grazing affects the plants. Plants affect the soil. Soil biology affects water infiltration. Animal impact affects plant growth and soil compaction. Weather affects everything.
Pull one lever and five other things move.
Growth marketing isn't much different.
SEO doesn't exist independently of content. Traffic doesn't matter if it doesn't convert. A higher conversion rate isn't particularly valuable if you're attracting the wrong audience. And generating more leads doesn't accomplish much if the economics behind acquiring those leads don't work.
In both farming and marketing, it's easy to obsess over one metric.
The better question is: What’s happening through the entire system?
Data doesn't always look like a dashboard
Marketing gives us beautiful, organized data.
Impressions. Rankings. Clicks. Conversion rates. Cost per lead. Revenue.
Farm data is a little less organized.
Sometimes the dashboard is literally a cow.
You learn to notice how aggressively animals graze, which plants they select, how much forage they leave behind, how quickly a pasture recovers, where the manure concentrates, whether bare soil appears, and how the land responds after rainfall.
They're signals.
And just like marketing data, individual signals can be misleading. A traffic spike doesn't necessarily mean a strategy is working, and a pasture looking “clean” after grazing doesn't necessarily mean you managed it well.
You have to understand what the signals mean within the larger system.
Patience is part of the experiment
This might be the hardest lesson both jobs teach.
You want results immediately. Launch a growth marketing experiment on Monday, and you want to know whether it worked by Friday.
Change your grazing strategy, and you want to dramatically improve the pasture next month.
Unfortunately, complex systems don't operate on preferred reporting schedules.
Most experiments need time. Trying to optimize too soon can make it hard to tell what actually worked and what didn't.
SEO is probably the most obvious example. You can make the right strategic decision and still wait for months for the result to fully appear.
Regenerative agriculture can be even slower. You're trying to improve biological systems that developed over years. Soil structure, organic matter, plant diversity, and water cycles don't transform overnight.
The trick is learning the difference between something that isn't working and something that hasn't had enough time to work yet.
That's an incredibly valuable skill in growth marketing too.
Failure is expected and usually great information
I've tried plenty of things on the farm that didn't work the way I expected. I've done the same in marketing.
The temptation is to label those experiments as failures. But if you designed the experiment correctly and learned something from it, it wasn't wasted.
Maybe cattle grazed a paddock harder than expected.
Maybe a new content strategy didn't improve conversions.
Maybe an automation saved time but produced worse output.
These are all great insights that you can learn from and utilize in the future.
Adjust the variables and run the next experiment.
That's ultimately what connects regenerative farming and growth marketing for me. Neither is absolutely about discovering one perfect formula. They're about building better systems through hundreds of small observations, experiments, failures, and improvements.
You test.
You observe.
You adapt.
And then you do it again.
Whether I'm staring at an analytical dashboard or standing in the pasture watching cows eat, I'm usually asking the same question: What's the system telling me, and what should I try next?
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