Understand shop drop-offs

See why visitors do not buy, where they get stuck and what needs to be clearer.

We view the shop as a customer. Product, price, payment and confirmation should make sense in one flow.

The goal is a result that you can understand and use after the session. Google, AI services and other platforms still decide for themselves.

For preparation, one concrete example from your daily work is sufficient. We first document the objective, current configuration and relevant technical constraints, because a precise starting point makes later implementation easier to verify. During the session, we separate immediate corrections from follow-up work and explain why each priority matters. For websites, online shops or AI tools, the review can include information architecture, data quality, access permissions, privacy, structured metadata and measurable success criteria. This creates a documented implementation path instead of a vague consultation. Recommendations remain understandable, but they also include enough technical context for independent verification, maintenance and further development after the session.