Sales ×2.7 in a quarter:
we stopped the ads first
A sports nutrition brand in Ukraine with 200+ SKUs and stalled sales. We paused the traffic, rebuilt the site and funnel, fixed tracking and the ad feed, then relaunched. Sales grew 2.7× in a quarter and other companies' directors started calling.
The situation
A sports nutrition brand with a strong product and a weak online channel. Ads were running continuously, sales were not growing, and nobody could say why. The brand’s own numbers told a story once we looked: checkout conversion had fallen from 22.8% in February to 1.5% in July, the analytics platform could see roughly 15% of real orders, and the Meta ad feed showed prices hundreds below reality with 26 of 83 products leading to error pages.
What we did
Stopped the traffic. Uncomfortable, but the funnel was burning money. We paused campaigns and spent the time on the leaks.
Rebuilt the order book. The real order history lived in a Telegram channel. We parsed it: 571 orders, 571 of 571 recovered, and finally had a number that agreed with the bank. This became the base for every later decision.
Built a new store. Next.js and FastAPI, 107 products, bundles, loyalty points, an AI consultant in chat, local payments and delivery integrations, Lighthouse 93 to 100 on mobile, largest contentful paint down from 4.2 to 1.7 seconds. Sessions went from 200-300 to 380-480 a day, add-to-cart from 5-27 to 37-112 a day.
Fixed the ad feed. Replaced the broken catalogue export with our own generator: 107 products in ads instead of 83, zero errors, correct prices.
Set up tracking to revenue. Pixel and CAPI, GA4, CRM and the order book joined in one warehouse. Campaigns were switched from add-to-cart optimisation to purchases.
Relaunched. Same budget range, new structure, creatives built for the products that the basket analysis showed people actually buy together (family-size carts were 36% of orders and 48% of revenue).
The result
Sales grew 2.7 times in a quarter. The directors of other companies in the owner’s network started calling, which is how this studio became a studio.
What came after
An analytics hub with an AI analyst in Telegram that answers “top cities by revenue” with real SQL, a multi-channel AI sales agent, automated monitoring of distributor price undercuts (184 of 218 events caught with zero false alarms), and a content pipeline for short videos. Those are separate case studies.
FAQ
Why stop the ads if sales were already low?
Because the traffic was landing on a site that converted at 1.5% at checkout, with an ad feed that showed wrong prices and dead links. Every dollar spent there was wasted. Stopping for a few weeks cost less than one more month of that.
Was the growth just the new site?
No single thing. The new site raised add-to-cart three to four times, the fixed feed put every product back into ads, the tracking showed which campaigns actually brought repeat buyers, and the relaunch optimised for purchases instead of carts. The quarter result is the combination.