> For the complete documentation index, see [llms.txt](https://docs.fact-finder.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.fact-finder.com/docs/consulting-services/webshop-benchmark-analysis.md). # Webshop & Benchmark Analysis ## What it is Evaluation of your shop across defined categories in comparison to your competitors and industry. Recommended when planning a shop relaunch. ### Categories Reviewed in Analysis * Homepage — UX/Design, ease of finding information * Search — Location of search bar, search result quality * Suggest — Design, content * Navigation — Level structure, relevance, UX, completeness, result quality * Product Detail Page — Ease of finding information, UX/Design, sharing options * Shopping Cart — Preventing exits, up-/cross-selling * Checkout — UX/convenience * General — Personalization, merchandising, trust factors * Mobile — Taking advantage of the platform, UX/Design, filters ## What’s in it for you * Demonstration of competitive advantages and disadvantages in comparison to the same industry.​ * Suggestions on solutions from other industries to gain competitive advantages through a better customer journey​. * Suggestion of quick wins that can be implemented with FactFinder, plus more time-consuming topics, that need to be adjusted in the frontend.​ ## How it’s done ### Estimated time * 5 hours Webshop Analysis * 1 hour web session to discuss results * 2.5 hours per Benchmark Analysis ### Deliverables PDF report on optimization suggestions for your online shop — from start page to checkout, delivered by a FactFinder Consultant. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.fact-finder.com/docs/consulting-services/webshop-benchmark-analysis.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.