Gutta Shop: Sustainable growth through systematic optimisation

The starting point

Shop type & industry

Natural Products

The problem

A specialist shop with an assortment that needs explaining and a loyal customer base. Isolated measures had moved little in the past, what was missing was a system that continuously produces hypotheses, tests them and records the results.

Hypotheses & the tested variant

From the starting point we derived the following hypotheses — each was tested as its own variant against the existing version, never rolled out blindly:

Building a continuous optimisation process from the first month: derive hypotheses from data and user behaviour, prioritise them, put them live as A/B tests, adopt the winners, and start the next test. Optimisation ran along the entire customer journey, not on a single page.

Measurement & test duration

All tests ran on a dedicated testing platform with a clean control group. Guiding metric: revenue per user over long run times, to rule out seasonal effects. Tests with mixed signals were documented honestly rather than massaged.

Observation period: The first three months

Result

A clearly double-digit rise in conversions within the first three months, and a permanently running testing process that has delivered further measured improvements ever since, rather than resting on a one-off effect.

Business significance

A clearly double-digit rise in conversions within the first three months — combined with a permanent optimisation process that keeps delivering instead of resting on a one-off effect.

Limitations

This case study is an anonymised account: for confidentiality reasons we do not publish client-specific figures. Individual results are not directly transferable — the test context decides what applies: the industry and size of your shop shape the outcome. We are happy to walk you through concrete metrics and our approach in a conversation.