Everyone's posting AI ad wins this month. The median DTC brand makes $2.04 per $1 of ad spend. Let's talk.
My feed right now is a wall of screenshots. Agent built 5 ads in 5 minutes. $155K to $242K in 30 days. A €1.4M Shopify dashboard. All real, probably. All survivorship.
Here's the aggregate the highlight reel skips. Average e-commerce ROAS in 2026 sits around 2.87:1. The median is 2.04:1. Mid-market brands watched ROAS drop close to 10% year over year while fixed marketing costs climbed about 30%. Net margin for most DTC brands lands between 3 and 10%.
Sit with the median for a second. $2.04 back on $1 spent. After COGS, fees, shipping, and the platform's cut, that's a business running on fumes. No agent fixes a 2x ROAS account by making more ads faster.
The reason "just add AI" doesn't move it: the problem usually isn't the volume of creative. It's unit economics the ad account can't see.
Take a typical 2x account where the owner is convinced he has a creative problem. AOV $40, blended CAC $38, repeat rate under 20%. The first purchase is break-even at best, and the whole business is leaning on a second order that isn't coming. No amount of new creative fixes that.
The lever is the post-purchase flow, the bundle AOV, and the freight line. Move those and blended ROAS barely budges while contribution margin per order can nearly double. That's the number that pays salaries.
More AI ads would've poured faster water into a leaking bucket.
Creative volume is the cheapest input in the stack now. When everyone's agent makes 50 ads a week, ad output stops being the constraint. The constraint walks back upstream to the offer, the margin, and the second-order economics - the stuff no model can see from inside the ad platform.
The AI wins on your timeline are real. They're also the 5% who already had the unit economics to survive scale. For the median 2x brand, the gains come from the boring math under the ad account, not from running the ads faster.
Ruslan co-founded Tegra in 2017. Runs the Google Ads practice - feed, PMax, search, attribution. Writes weekly about the parts of paid search operators are afraid to touch.