Welcome to Life After CAC, a publication about what happens after the click in DTC. Twice a month, I'll pick one corner of the LTV problem and pull on it: what finance teams get wrong about the cohort math, which customers actually deserve a different experience, and the silos that block almost every retention gain worth pursuing.
A founder texted me last week
$40M GMV, men's grooming, third year in business. The message was one line.
|
Last Thursday, 4:12 PM
|
That sounds harsh in a text message. It also happens to be true for almost every brand I've looked at this year. The LTV number sitting in the spreadsheet your finance team walked the board through last quarter is wrong. Not by a little. By enough that it justifies CAC targets that will quietly bankrupt the next two years of the business.
Acquisition is a tax. The platforms set the rate.
You already know this part.
Every DTC brand is fighting in the same Meta and Google auctions, looking for an edge, when the only advantage to be gained is realized by the platforms themselves.
You've tried the obvious moves. New creative. New audiences. Cleaner attribution. Maybe a Klaviyo flow you spent three months perfecting.
CAC went up anyway.
| Acquisition is a structural tax now. Everyone pays it. The rate keeps climbing. |
The only ground left is after the click
The brands winning the next five years already accepted this. They stopped chasing the creative breakthrough that brings CAC back to 2020 levels because that breakthrough isn't coming. They turned to what happens after the click, because it's the only ground left where one DTC brand still beats another.
Most LTV numbers are fiction
Most brands measure LTV the way they did five years ago. Revenue per customer, sometimes adjusted for COGS, projected on a curve their finance team trusts more than they should. That number justifies CAC targets, sets marketing budgets, and walks investors through the P&L.
It's wrong almost everywhere I look.
Real LTV is profit per customer, net of every cost spent serving that customer. Returns and refund processing. Support overhead on customers who never repurchase. Discount stacking. Restocking. Reverse logistics. Loyalty points that come due eighteen months later. And the half of your customers who buy once, disappear, and quietly drag the cohort average down.
Widely accepted research on customer profitability tells you the shape of what you'll find. Roughly 10 to 30 percent of customers actively erode profit once you do the real math. The top 20 percent generate two to three times total profits. The middle just breaks even. Kaplan and Narayanan called this distribution the whale curve1
| ||
| ||
|

When did anyone in your building last calculate what a refund actually costs you? Not the refund itself. The handling. The support. The restocking. The inventory you can't resell.
When the founder ran the math
That same founder finally pulled the cohort math. Not the projected curve. The actual profit per customer once returns, support, restocking, and discount stacking netted out.
And the CX team was paying out monthly bonuses to the reps who resolved those tickets fastest.
Their best support agents were getting paid the most to serve their worst customers.
Once they saw the numbers, they didn't need a new strategy. They needed three months of rewiring. Incentives. Returns policy. Who qualified for human support versus the self-service flow.
That's the dimension worth competing on. The customer relationship itself, run as a system, with one shared definition of LTV that every function actually trusts.
The silo problem
Most brands can't act on findings like that because the teams that would need to act aren't talking to each other. Marketing owns CAC and ROAS. CX owns CSAT and ticket volume. Operations owns cost per order. None of them own LTV.
So the work that would actually compound doesn't get done, because no one inside the building owns the customer the way Amazon does.
Where to start this week
Three things to pull before Friday.
| ||
| ||
|
|
One bet for the road
Here's my wager. If you run those three plays honestly, you'll find one customer segment you've been losing money on for two years. The work isn't figuring out the LTV math. The work is what you decide to do once you have the answer. |
About Life After CACLife After CAC is the publication for founders, marketing leaders, CX leaders, and operations leaders at mid-market DTC brands. Each issue tackles one operational dimension of the LTV problem. Some of this will resonate and some will start arguments. Don't be shy about pushing back since I may be wrong about some of this. When I am, tell me. I'm the founder of Onward. Our platform personalizes the purchase experience for every single customer to maximize your brand's LTV opportunity. Our intelligent AI-driven suite of software spans the entire customer journey, from loyalty to returns and everything in-between, allowing brands to evolve beyond one-size-fits-all policies to a truly tailored experience based on each customer's value to your business. You won't get pitched in these emails. If you want to know what we do, useonward.com is one click away. This space is where I argue with the numbers. |
Reply with the one DTC orthodoxy you think is most overdue for a challenge. The most interesting answer becomes the topic of issue three.
—Josh
Sources
1Source: Kaplan, R.S., and V.G. Narayanan, 2001. "Measuring and managing customer profitability." Journal of Cost Management, September/October: 5-15.
