Stores
A store built around your product and your industry, tailored in every detail.
We build stores for every product and every industry, fully tailored to what you sell and who you sell to. No forced templates, just a store shaped around your brand, your assortment and your customer.
Where you are losing money
Most e-commerce losses do not come from a lack of traffic. They come from people who already wanted to buy, then got stopped along the way. Every moment like that is real revenue walking out the door.
The customer added a product, started checkout, saw a 7-step form and left. No recovery, no reminder, no second chance. Every cart like that is real lost revenue.
A customer looking for dresses sees the same men's shoes as an architect looking for tools. No personalization, no recommendations, no useful cross-sell. The customer scrolls for 20 minutes and leaves.
Competitors change prices and promotions when demand changes. You run the same promotion on the weekend and on a quiet Monday. Money is left on the table because no one is watching live demand.
They have been browsing for 15 minutes and found a jacket in their size. They click Add to cart and move to checkout.
Account, address, delivery, payment, coupon, consents, summary. It asks for phone number, date of birth and company name. The customer closes the tab.
No reminder email. No SMS. No retargeting ad to bring them back. The customer forgot about you and bought from a competitor with one-click checkout.
A well-built store would not let them leave quietly.
What you get
No features for their own sake. Every module exists so your customer buys more and comes back sooner.
You get a finished, fully personalized store, lightning fast and designed for your brand. It looks premium as a website, runs smoothly on phone and desktop, and from the first second the customer feels they have landed in a serious place.
The model learns from each customer's behavior. Generic 'customers who bought X also bought Y' is old news. Now the system predicts what this specific customer is likely to buy because it sees how they move through the store. Average order value rises clearly.
A customer types 'mid-priced gift for mom's 60th birthday' and gets useful results, not 400 products matching the word 'gift'. Search understands context, budget range and occasion.
Every day the system checks competitor prices, forecasts demand and proposes prices. Bestsellers, seasonal products and slower items get separate rules instead of one promotion for the whole store.
How we do it
You approve the direction, we build the rest. Every stage ends with something visible in the store and in the numbers.
Traffic analysis, heatmaps and session recordings. We check where customers leave, which checkout step confuses them, and what they search for but cannot find. Concrete numbers, not guesses.
Migration to a proven platform or a custom build with extra modules. Intelligent recommendations, AI search and live pricing. Email automation, SMS sending and messenger notifications.
Customer segmentation, automated message sequences for different situations (abandoned cart, browsing without purchase, post-purchase upsell) and retargeting ads in Google and social media using the current product catalog.
Product page tests, recommendation headline tests and email copy tests. Weekly reports cover average order value, conversion, recovered carts and customer lifetime value. Every month, new ideas are implemented and tested.
Who this works for
The customer buys less often but spends more. Personalization is the key: style-based recommendations, an intelligent wishlist, a separate VIP group for the most valuable customers, and email/SMS for specific occasions. We measure order value, repeat purchases and return behavior so optimization has business meaning.
Hundreds of products, low margin and high sales volume. The key levers are live pricing, automatic cart recovery, retargeting and cart upsells. We test which mechanisms actually improve checkout completion and order margin.
The first purchase is only the beginning. Onboarding is staged, churn risk is predicted and a win-back offer appears before renewal. We measure cancellations, returns and relationship length so the system improves retention on data.
Before you ask
In 30 minutes, we will walk through your purchase path step by step and say plainly where you are losing customers and what to fix first. No commitment, no half-hour sales deck.