From zero to 100+ live experiments in four weeks

THE CHALLENGE

Reima, a premium children's outdoor clothing brand selling across 30+ countries, had a conversion problem and no way to fix it. With over a million monthly sessions, even marginal improvements to conversion rates meant significant revenue. But their six-person e-commerce team had no in-house CRO resources, no developer bandwidth, and no realistic path to running experiments.

"We have people who could do A/B testing, but don’t have any roles dedicated specifically to A/B testing or conversion rate optimization." Jonni.

Traditional A/B testing was a non-starter. Each test required separate development work, took months to reach statistical significance, and demanded heavy coordination across five markets. Worse, Reima operates on tight seasonal windows, winter gear launches in October, spring collections in February. By the time a conventional test concluded, the season was over.

"It would be very challenging to make it profitable to run A/B testing with traditional methods." Jonni.

THE SOLUTION

Reima implemented Dalton with a single JavaScript snippet, a setup comparable to installing Google Analytics, completed in one meeting. Within four weeks, the team had launched over 100 active experiments across 49 pages and five markets, with zero developer hours required.

Dalton's workflow is built for speed: the platform scans pages and generates ready-to-launch experiment variants for headlines, CTAs, layouts, and product copy. The team reviews and approves in minutes. A multi-armed bandit algorithm then routes traffic dynamically toward winning variants in real time, no waiting for statistical significance or manual analysis.

THE RESULTS

The impact was immediate and measurable. Optimising product information banners to emphasise safety and sustainability credentials delivered a +21.1% uplift. Rewriting category headline copy, shifting from "Children's transitional season shoes" to benefit-led alternatives,  produced lifts of +19.9% and +17.8% across variants. Simplifying filter layouts and adjusting trust signals by region drove consistent gains across markets.

In total, Reima achieved a €180K+ projected annual revenue lift, with conversion improvements of 1-10% on high-traffic pages.

WHY IT WORKED

For a lean team managing multiple markets under seasonal pressure, Dalton removed every traditional barrier to optimisation. Experiments that previously required weeks of coordination now launched in minutes. Learnings from one seasonal collection can be carried forward and applied to the next with a few clicks.

Reima went from talking about testing to running it at scale, across 30+ countries, with no developer dependency, in under a month.