An agency where AI is the operating system, not an add-on. A traditional agency staffs your account with hours; an AI eCommerce agency runs your paid media, ad creative, email retention, and reporting on software that sees your full performance history and market in real time — with human strategists making every decision. We run on MKOS.AI, the platform we built for exactly this, so the AI is ours, not a subscription bolted on top.
The heavy lifting: analyzing every ad you have ever run against your market, drafting net-new creative and iterations of winners, flagging fatigue and budget waste in real time, segmenting and timing the email program, and reconciling ad-platform claims against your store’s actual revenue. What it never does is act alone — an experienced strategist reviews, refines, and approves everything before it touches your account.
AI execution, human support — deliberately. Your account is managed by Paul Klebanov or a senior specialist who is on your calls and in your Slack. The AI surfaces what no human could pull manually; the human makes every call that spends your money. You get one accountable strategist, not a dashboard and a support queue.
Both, in specific places. Ad creative is included in the management fee — statics, video, and weekly iterations that would cost thousands per asset at a studio. Testing cycles run weekly instead of quarterly because production is not the bottleneck. And analysis that used to take a retainer’s worth of hours happens continuously. The saving is not a cheaper hourly rate — it is a compounding volume of work that hours could never buy.
The full DTC growth stack: Google Ads (Search, Shopping, Performance Max, YouTube), Facebook and Instagram ads, and Klaviyo email and SMS retention — all reported in one place, measured with incremental attribution, and reconciled against your Shopify revenue. Each channel starts with a free audit, so you see the gaps before you commit to anything.
No — and we say so on the first call. The engine works best for DTC brands with product-market fit and meaningful ad spend, where creative volume and data depth compound. Early-stage stores usually need offer and conversion work before AI-scale testing pays off. That is why everything starts with a free audit: if we are not the right fit yet, you leave knowing exactly what to fix first.