The storefront is the product. Everything else is traffic.
DTC, marketplace, and omnichannel brands all lose the same money in the same places: the product page, the checkout, and the second purchase. We build the commerce stack that closes those three, then automate the merchandising and retention that run on top of it.
What holds this industry back.
Selling in conversations has a ceiling
Orders that live in DMs, comment threads, and marketplace chat depend on a human replying fast enough. There is no catalog to link, no product page for paid traffic to land on, and no way to serve a customer at 2am in a timezone where nobody is awake.
The checkout is where the market shows up
A payment stack that fits one region loses buyers everywhere else at the final step. Checkout has to carry the rails your customers actually reach for, whether that is Stripe or Adyen for cards and wallets, a local rail such as bKash or iDEAL, or structured cash-on-delivery with address verification.
Catalog work eats the merchandising budget
Titles, descriptions, attributes, and ad feeds get maintained by hand. Every new SKU costs the same hours, feeds drift out of sync with inventory, and nobody has time to test the merchandising decisions that actually move revenue.
No data foundation means every campaign starts cold
Without clean tracking and a customer data layer, each campaign re-acquires the same browser that visited last week. Product views, cart abandonment, and returning customers go untracked, and retention is guesswork with a discount code attached.
The playbook we run.
Build the conversion storefront
Catalog, product pages, and a mobile-first checkout built to close. Payment and delivery rails are chosen per market rather than inherited from a template, and speed is treated as a conversion feature with Lighthouse thresholds enforced before launch.
Lay the data foundation
Server-side tracking, conversion APIs, and a customer data layer wired in before the first campaign runs, so every visit, cart, and purchase becomes something you can act on and attribute.
Automate the catalog and the feeds
AI-assisted product copy, attribute enrichment, and merchandising rules that keep titles, descriptions, and shopping feeds current as inventory changes. Ranking and collection order respond to margin and stock instead of to whoever last dragged a tile.
Run acquisition and retention as one loop
Paid campaigns land on pages built to convert, and the purchase feeds lifecycle flows: order updates, replenishment timing, and win-back sequences triggered by behaviour rather than by a monthly send. The second purchase costs no new ad spend.
What we deploy here.
Industry questions, answered.
A chat thread cannot hold a catalog, run a checkout, or fire a retargeting event, and a marketplace owns the customer relationship you paid to create. An owned storefront turns paid acquisition into a customer list you keep.
Whichever ones your buyers use. We select rails per market: cards and wallets through providers such as Stripe or Adyen, regional methods such as iDEAL or bKash where they dominate, and structured cash-on-delivery with order confirmation where that is how the market buys.
It does the work that scales badly with a catalog: drafting and enriching product copy, keeping shopping feeds aligned with inventory, ranking collections against margin and stock, and choosing which lifecycle message a customer should receive next. A human approves the rules. The system runs them.
Both, and they are the same engagement. A converting site with no traffic and a traffic campaign with no converting page are one problem seen from opposite ends.