Share of visits and revenue
This group accounts for three times its share of visits in revenue. Search matters, but encouraging additional search use does not necessarily reproduce that effect.
Over four months, I designed navigation, a marketplace and a partner dashboard for an established e-commerce company. My work covered usage-data analysis, comparison of design variants and detailed user flows. The CEO and team leads were the internal stakeholders.
My role: analysis, product concepts, information architecture and interface design. NDA / confidentiality: client names and original designs are withheld. The placeholders contain no project imagery.
30-SECOND PROJECT READ
I developed recurring search, account and navigation patterns, including mobile states. Headers and footers needed to remain recognisable across the three areas, with actions suited to the current task.
The CEO and team leads were my points of contact. I contributed analysis, variant comparisons and detailed flows. The public account covers roles and design decisions.
My points of contact were the CEO and team leads. I worked on which tasks needed priority in each area and how the interface should support them. Usage analyses, header variants and detailed flows made those choices concrete. Search provides one example: the analysis showed a high share of revenue associated with a relatively small share of search visits. That gave the search field a clear claim on header space. Comparing variants showed how much room remained for categories, accounts and service.
The first analysis connects search use, purchasing behaviour and the journey beyond results. It shifts the priority from displaying as many navigation links as possible to making search visible and understandable.
This group accounts for three times its share of visits in revenue. Search matters, but encouraging additional search use does not necessarily reproduce that effect.
Search visits show roughly three times the order rate of category-only visits. Differences in purchase intent may contribute to this association.
Purchase rate among search visits, desktop = 100. Meanwhile, 38% of mobile visits end on the results page, compared with 28% on desktop. Searches without a click differ less: 41% versus 39%.
of clicks go to header categories in the homepage heatmap. Search is the more heavily used entry point. Categories remain accessible while search receives clearer priority.
The analysis also identifies bot traffic in exit data. A sudden increase is therefore not automatically interpreted as a deterioration in UX.
Source: supplied A4 search and navigation analysis. Baseline observations, not a measurement of redesign impact. Mobile comparison: June/July 2026. Absolute visit and revenue totals are omitted.
I compared header variants for category visibility, laptop widths and use across other areas. The early recommendation used a continuous area switcher; the released version was V4 with a floating header. The design work covered open account and language menus, as well as mobile states. Footer content followed the task: discover products, create a listing or continue in the personal area.
The marketplace needed a flow for providers to enter details, add images and review a listing. I worked out the steps and the feedback for missing information. A quality summary points back to the relevant step. For changes to existing listings, the design distinguishes between updates that can be applied directly and those requiring another review.
The dashboard brings together open enquiries, listings, orders and other partner tasks. My work covered the information hierarchy and the paths from an overview to handling an item. Responsibility and status belong with the task: who needs to reply, what awaits approval and what can happen next? The team inbox keeps the related communication together.
The second analysis examines use alongside economics. Empty profiles and entry after a purchase are particularly relevant to product design: the personal area needs a clear initial benefit and an obvious next action.
A reason to examine what happens after registration.
A small direct entry route into purchasing.
Most first visits happen after a purchase.
Revenue per existing customer over the following 180 days. Existing customers without the personal area form the reference of 100 in each group. Customers with the personal area are at approximately 1.2–2.1×. Self-selection and differing customer relationships are possible explanations; the comparison does not isolate a product effect.
The overall shop trend provides context. It cannot be attributed to the personal customer area as either success or failure. Its contribution requires separate measurement of activation, return visits and subsequent purchasing.
Modelled benefit relative to estimated development costs across the combined scenarios in the analysis. These extremes describe sensitivity, not a return forecast. Full costs and incremental benefit are not established by this model.
The personal area makes the next step specific: add a product, find relevant parts or open the seasonal checklist. The footer responds to the current context rather than repeating the same purchase prompt everywhere.
Whether these offers actually activate people and bring them back is a separate evaluation question. The observed usage shares establish priorities for that evaluation.
Source: supplied A4 analysis of the personal customer area. Financial amounts, group thresholds, salaries and team sizes remain hidden. Indices and ratios were calculated from the supplied values and rounded. Observations, estimates and the header launch outcome are presented separately.
Outcome reported by the project. Baseline, measurement period and sample are not documented in this public version. The change alone establishes neither higher purchase conversion nor additional revenue.
The floating header shipped. The footer, marketplace and partner dashboard reached design or prototype stages. The reported change in onward navigation belongs to the header launch. The next evaluation should track search-result clicks, completed customer profiles and handled enquiries. These measures answer different questions and need separate analysis.