A founder asked me a fair question on a call last month:
"Why would I pay for CRO when AI can build me a landing page in 10 minutes?"
I hear some version of this every week now. AI builds pages, writes copy, even spins up entire storefronts. So the post-click side of our business should be sweating, right?
Here's what I told him.
Building was never the bottleneck
AI just made shipping a landing page nearly free. That's real, and we use it every day.
But go ask 100 DTC founders what to put ON that page:
→ Which offer structure for a $68 AOV with a 40% repeat rate? → Lead with social proof or the founder story for a skeptical cold audience? → Why does mobile convert at half of desktop, and which of the 15 possible reasons is yours?
AI will give you an answer to all of these. A confident one. It just has no idea if it's right for your customer because it's never seen your data, your post-purchase surveys, or the last 50 tests that worked (and bombed) across brands like yours.
The page was never the product. Knowing what to test, in what order, and why that's the product.
The echo chamber is lying to you
9 months old - We’ve added over $30M in incremental revenue through post-click for brands since this.
The "CRO is dead" crowd lives on tech Twitter and LinkedIn. They see AI everywhere because they live there, and they've confused their own early adoption with mass adoption.
Now zoom out to the actual market: thousands of brands doing $2M-$50M a year, too busy forecasting inventory and fighting CAC to test every tool that dropped this week.
What percentage of them are using AI to systematically run their post-click experience? Way fewer than your feed suggests.
That gap between the hype and the market? That's not a threat. That's the opportunity for us and for you. Hearing about a trend before the rest of the market gives you time to adapt while everyone else is still arguing about it.
What's actually happening in our post-click department
Example of message mining
Our CRO and post-click team is busier than it's ever been. More tests in flight, bigger scopes, more pipeline.
Here's the irony: AI is driving the demand. When every brand can ship pages instantly, every brand ships more pages, most of them built on guesses. More shipping + same guessing = more leaking funnels that need fixing.
AI made production cheap. It made judgment expensive.
And yes we use AI heavily on the inside. Faster research, faster iteration, less busywork between hypothesis and live test.
It hasn't replaced a single person on the team.
→ AI compresses the boring 80%: setup, variants, data pulls → Humans own the 20% that moves revenue: which test, what order, and why
Same people. More at-bats. Better win rate.
The operator's takeaway
When someone tells you AI killed a category, check where they're standing. If they're deep in the startup bubble, they're describing their feed, not your market.
The brands winning right now aren't replacing judgment with AI. They're using AI to execute judgment faster.
Everything after the click still decides whether your ad spend turns into revenue. AI changed how fast that work gets done.
It didn't change who needs to think it through.
