How Gerry Weber averted millions of dollars in losses with LEAP

Success-based A/B testing model for Gerry Weber

Die E-Gerry Weber Digital GmbH Since 2017, has driven the digital transformation of GERRY WEBER ahead. In an environment of profound market changes, the team set up systematic A/B testing with LEAPto improve conversion performance and avoid costly wrong decisions.

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~ 30%

success rate

Gerry Weber uses this hit rate as an objective filter to only permanently implement those functions in the shop that have been proven to have a positive effect on sales. At the same time, the remaining test results serve to avoid expensive incorrect decisions.

Cost savings

Millions of losses prevented

Negative tests were considered particularly valuable as they prevent expensive features or designs from being firmly developed, which would ultimately prevent customers from buying.

The challenge

Strong channel mix, more mature target group, growing complexity across devices, countries and marketplaces: Many opinions, little evidence. Internal requirements for UX & features competed with budget and traffic limits. The aim was more high-quality tests to drive, to reduce risks and decision makers with hard numbers convincing — including an ROI view and return effects.

solutions

LEAP established a professional A/B testing program for Gerry Weber, which translated psychologically based hypotheses into concrete shop optimizations. From idea development to design and implementation in the testing tool to statistical evaluation, LEAP took over the entire process — with minimal effort for the internal team. Clear reports made it possible to communicate results transparently and make decisions based on facts. Winning variants went live immediately, negative tests prevented expensive mistakes and saved the company from millions of dollars in lost sales.

scores

+8% uplift in the most successful test (sales/conversion) — directly effective.

~ 30% success rate over the course of the year — solid hits with a high test cycle.

Millions of losses prevented — through significantly negative tests (misimplementations avoided).

Better investment decisions — tools & features only with a verifiable net contribution.

Higher internal acceptance — evidence-based communication, less “HIPPO” debates

Downstream KPIs at a glance — Reconciliation with returns, focus on net impact.