The DTC flywheel

Most DTC growth diagnoses start in the wrong place

"Why is our DTC revenue growth slowing down?"

Most answers to this question start in the wrong place: with an audit of each channel — email, site, paid, etc. It's not surprising. Channels are where the data lives, where the dashboards point, and what the agencies are selling. The end result: the founder walks away with a stack of channel-level recommendations — each defensible on its own — and no cohesive answer to why growth is flattening, or what to do about it. Just a tidy portfolio of optimizations and a vague sense that something is still off.

It's not that the recommendations are wrong. It's that DTC growth doesn't work channel by channel. It works as a system. The channels make each other better — or worse. If your site converts poorly, every paid dollar buys less. Build a real owned audience and acquisition gets cheaper. Land good press and organic search climbs. It's a flywheel, and the only useful diagnosis is one that reads the channels together as a system.

So how do you actually diagnose the system? Three frameworks I run, in order, before I let anyone open the Meta account.

1. Unit economics

I always start here. Boring, I know. Stay with me.

How much does it cost to deliver one unit before any marketing spend, and how much margin does the brand need to keep? This is the baseline from which you should make all future decisions. It also helps you understand your allowable Customer Acquisition Cost (CAC) — how much you can actually spend acquiring a customer without setting money on fire.

Say you're selling an $800 bougie air fryer. Product COGS are $320, and other COGS (credit card fees, average shipping, etc.) are $120. Before any marketing, you're keeping $360. If your blended CAC is $370, congratulations: you are paying customers ten dollars to buy your air fryer. The ads aren't efficient enough to make the math work, and your other channels aren't pulling enough weight.

If you look just at Meta in this case, the answer is "pull back on spend." Certainly right — but it doesn't tell you what to do next, supposing you still want to keep growing. Maybe, for example, the move that will actually allow you to scale spend is a new bundle offer: pair the air fryer with a mini Dutch oven in a cute color, $1,200 of value marked down to $999, and test variants. It's a merchandising answer to an ad channel question. Looking at your unit economics is how channels stop being isolated problems and start being a system.

2. The constraints on the holy ecomm equation

Revenue = Traffic × Conversion × AOV

It's not a secret equation. But it's a useful one, because it tells you what has to be true for the brand to grow at the rate it wants.

The three inputs aren't independent. Traffic that isn't well-qualified drags conversion down. A conversion fix can double the effective return on ad spend, which makes the required increase in traffic much more attainable. AOV moves through things like pricing, bundling, and merchandising — and the right next move depends on where you're seeing constraints.

The same revenue plateau can mean three completely different things:

Traffic-constrained. A skincare brand converting at 2.3% on 8,000 monthly sessions. Conversion is fine. The site is fine. The problem is that nobody knows the brand exists yet — that's a PR, partnerships, and media spend problem, not a site experience project.

Conversion-constrained. Press is landing, traffic is growing, but conversion is sitting at 0.7%. There might be some major conversion killers holding the site back... or maybe there aren't. Maybe the welcome offer isn't compelling, or doesn't exist at all.

AOV-constrained. A wellness brand selling a single $34 SKU in a category where the competitive set sits at $80+ bundles. Traffic is healthy, conversion is healthy, and the unit economics still don't work — because the unit is too small. The fix isn't more traffic or higher conversion — it's merchandising.

"Get more traffic" isn't a strategy with a capital S. But knowing whether traffic, conversion, or AOV is the binding constraint tells you where the actual hurdles are — and where to start your investigation.

3. New vs. returning revenue over time

Third: how is the mix of new and returning revenue trending?

There are so many versions of this. Maybe revenue is growing year over year, but the growth is coming mostly from the returning cohort. New customer revenue is flat. The brand looks healthy on the topline and is quietly running out of fuel underneath — eventually the sponge will get squeezed out.

Or the inverse — new customer revenue is trending up, but each cohort's second purchase rate is declining, and overall repeat revenue is starting to follow. The brand is acquiring customers fine; they're just not coming back. That's a retention problem — with any number of reasons. Maybe there isn't a good reason (i.e., product) for the customer to come back and purchase. Maybe you don't have solid post-purchase email flows set up. Maybe there's a product quality issue that's making customers not want to purchase again.

This lens helps you understand where in the customer lifecycle you're seeing the most traction or the most challenges — which then allows you to figure out what to do about it.

Where this leads

These three frameworks tell you what the problems actually are. Sometimes the answer is in the channels. Often, it's in pricing, positioning, or product — the things channel audits politely decline to look at since they are so cross-cutting across the business.

The channel work is still hard, and it's still where most of the execution lives. But you can't optimize your way out of a positioning problem, and you can't A/B test your way past a unit economics problem. Map the system first. Then the channel work has a fighting chance.

Working through a similar puzzle at your brand?

I work with founder-led DTC brands on exactly this — diagnosing the system before optimizing the channels. If something here landed (or annoyed you), send me a note.