An overview of our services

We make user behaviour visible:

  • Behavioural analytics: Analysis of user behaviour using user journey analysis, heatmaps and session recordings (e.g. using specialised tools such as Contentsquare or traditional web analytics tools such as GA or Adobe).

  • Conversion Rate Optimisation (CRO): Development of data-driven hypotheses and measures to increase conversion rates.

  • A/B testing: Design, execution and evaluation of experiments to statistically validate changes.

  • Funnel analysis: Detailed investigation of the reasons for abandonment in checkout processes or forms.

When is a UX analysis worthwhile?

The need often arises when, despite good traffic, results (conversions) fall short of expectations. Typical scenarios include:

  • High bounce rates: Users land on the page but leave again without interacting with it.

  • Shopping basket abandonment: Customers add products to their basket but do not complete the purchase process.

  • Subjective decisions: Design discussions are conducted internally based on personal taste rather than user data.

  • Uncertainty following the relaunch: The new website looks modern but performs worse than the previous version

Our approach: evidence rather than opinion

We replace assumptions with facts.

Data & Behaviour
We combine quantitative data (from tracking and MarTech) with qualitative insights. We look for the reason behind the drop-off, not just the symptom.

Technology
We implement experience analytics tools in such a way that they deliver valid data without negatively impacting the website’s performance.

Testing culture
We support your team in formulating hypotheses (hypothesis backlog) and testing them – where appropriate – before committing development resources.

What do you end up with?

We provide a clear basis for decision-making:

  • Audit Report: A prioritised list of identified usability issues and specific proposed solutions.

  • Validated test results: Data on which variant performed better.

  • Customer Journey Insights: A deeper understanding of how your customers actually navigate your channels.

  • Optimisation roadmap: A plan for the continuous improvement of your digital channels.

Frequently Asked Questions (FAQ)

Do we need a huge amount of traffic for A/B testing? Yes, for statistically significant A/B tests. With less traffic, we use user testing or sequential measurements to drive evidence-based improvements.

Are you a design agency? No. We provide UX and conversion insights and discuss the implications with your designers or your agency.