How one of Europe's largest nutrition eCommerce brands built its experimentation stack — from selection to validation

Introduction

In 2023 we partnered with one of the leading nutrition eCommerce brands in Europe — a high-traffic DTC business in the sports and lifestyle nutrition space. (The client is not named here at their request.) They were ready to make experimentation a core growth capability, but knew the foundation had to be right first: the wrong tooling, or a flawed implementation, would quietly undermine every test that followed.

The challenge

The brand had the traffic and the ambition to run a serious experimentation programme, but no established, validated tooling to run it on. They needed to choose the right platforms, integrate them correctly across a complex eCommerce stack, and — critically — be certain that the data those tools produced could be trusted. A testing tool that silently misfires or mis-tracks is worse than no tool at all: it produces confident, wrong decisions.

Our approach

1. 01
   Step 1

   Mapped requirements against the brand's traffic, tech stack, team capacity, and roadmap to define what the tooling actually needed to do
2. 02
   Step 2

   Ran a vendor-neutral selection process across A/B testing, feature flagging, and analytics platforms — shortlisting and recommending the right fit
3. 03
   Step 3

   Consulted throughout implementation: SDK and snippet setup, data layer, event tracking, and integration across the eCommerce stack
4. 04
   Step 4

   Validated the implementation end to end with QA across devices, A/A tests to confirm the setup introduced no bias, and tracking checks to confirm the data could be trusted

Key learning

“Tooling is infrastructure, not a purchase. The selection matters — but the validation matters more. An unvalidated implementation produces confident, wrong decisions, which is worse than running no tests at all.”