Catalog filters audit

A catalog filters audit is a one-time expert review of how the filters in the catalog are built and work from the buyer's perspective: are the filters noticeable and accessible (not hidden on a phone), are they the parameters people actually choose by in your niche (rather than a random set), are the names and values clear, can several values be selected, is it visible how many products will remain per filter, is it clear what is already applied and how to reset quickly, do common combinations lead to empty results (and what is shown in that case), are the filters preserved across navigation and in the URL, is applying them not slow, and is everything convenient on a phone. Honestly about the main point: this is diagnosis, not the design or development of the filters; and it is not a guarantee of a rise in conversion or sales. Filters are only one of the paths to a product: people also arrive through search, through categories and from ads. So the recommendations are reasoned hypotheses to test, not "we will raise conversion by X%". With access to analytics (which filters people use, where they leave after filtering) the review is deeper and relies on your numbers; without access it is an expert assessment of the catalog — much is visible, but some problems remain unseen without analytics (for example, we will not see which filter combinations most often give an empty result for real people). It is a snapshot in time: the catalog and the filters change. You get a report with prioritized problems and recommendations; the design, facet configuration and development are done separately or by your team. An important boundary: this is an audit of the filters specifically, not an audit of site search (the search box — separate) and not an audit of product cards (what a person sees once they reach the product — separate) — those are adjacent but separate services. If the catalog is very small, there are no filters, or there are too few products to narrow down, there is almost nothing to assess and you most likely do not need the audit. Picture this: instead of "people enter the catalog and do not choose" you learn that on a phone the filters are buried deep, there is no filter for the parameter that matters most in the niche, selecting two popular values gives "nothing found", and how many products will remain is not visible before applying — and you see what to fix first. The base price starts from 12,000 ₽ (this is a manual expert review of the filters and typical combinations with a detailed report and hypotheses); it depends on the size of the catalog and the number of filters.

• People enter the catalog but do not narrow the choice and leave.
• There is no filter for an important niche parameter, or there are too many.
• Common filter combinations lead to empty results.
• On a phone the filters are inconvenient or buried deep.

• Noticeability and accessibility of filters (including on a phone)
• Relevance of the filter set to the niche and clarity of names
• Multi-select and a product counter per filter
• Clarity of applied filters and quick reset
• Handling of combinations with empty results
• Preserving filters across navigation and in the URL; speed
• Convenience on a phone; analytics-based analysis when access is available
• A prioritized report with hypotheses to test

• Clear understanding of what stops people narrowing the choice and reaching a product
• Priorities: what to improve in the filters first
• Understanding whether the needed filters are present and clear
• Understanding where the problem is in the filters and where in the catalog or assortment

• We clarify the niche, catalog, typical selection scenarios and collect access to the site and web analytics (Google Analytics / Yandex.Metrica); without it some problems will remain unseen
• We test the filters by hand on typical and problem combinations
• We prepare a report with priorities and hypotheses and review it with you

• Will sales grow after the audit?

  The audit itself does not raise them. Filters are only one of the paths to a product (also search, categories, ads). We find the weak spots and give hypotheses, but what will work is verified by tests; growth is possible only after implementation and is not guaranteed.

• How is this different from a site search audit?

  A search audit is about the search box and the results for a query. A filters audit is about narrowing the catalog by parameters (price, size, brand, etc.). They complement each other, but they are different services.

• Will you configure the filters and facets?

  No, that is separate work. The audit gives diagnosis and hypotheses: what to improve and why. Facet configuration, design and development are done separately or handled by your team.