Category Management is the process of assigning products to the correct sections and subcategories of a marketplace catalog, taking into account attributes, filters and platform requirements. The right category improves a product's visibility in search results, filter accuracy and conversion.
How category management works
The marketplace category structure is a hierarchy: sections → categories → subcategories → attribute sets. Each node in this hierarchy defines required and recommended attributes (brand, size, material, EAN), filter display rules and ranking logic. On Kaspi.kz, products have a category_id, a set of key attributes and visibility parameters (for example, eligibility for promotions, product card with reviews and rating).
When showing results, sorting is formed algorithmically: query relevance, seller rating, price, stock availability and attribute correctness. A wrongly assigned category can exclude a product from relevant filters: a user applied the filter "women's sneakers size 38" — and your product won't appear if you placed it in the general "shoes" category without the "sneakers" type.
Technically, category management can be done via the seller web cabinet, bulk CSV/Excel uploads or via API. Automation tools such as AWW let you map your price lists to Kaspi.kz's category tree and automatically set appropriate category_id and attributes according to rules.
Why sellers need it: concrete effects
- Increased visibility. Accurate categories include the product in relevant filters, which raises impressions and CTR. Sellers' experience shows correct categorization can increase visibility 1.5–2× for relevant queries.
- Higher conversion. Buyers who filter lists by needed attributes are more likely to purchase. In practice, moving a product into the precise subcategory and adding required attributes increases the listing conversion by 20–40% in the first 2–4 weeks.
- Correct pricing and commissions. On Kaspi.kz, some commissions and promo eligibility depend on category. A wrong category can lead to incorrect commission calculation or inability to participate in promotions.
- Fewer returns and customer questions. If the product card contains all required attributes (e.g., sizes, material, compatibility), the number of questions and returns drops. That directly affects rating and visibility.
- Logistics and warehouses. For FBS/logistics schemes, Kaspi needs the category to classify packaging and calculate delivery cost. Incorrect categorization may affect processing times and fulfillment cost.
Examples and real situations on Kaspi.kz
Below are typical cases that sellers encounter on Kaspi.kz and practical outcomes from fixing categories:
- Electronics accessories miscategorized. A seller placed phone cases under a generic "accessories" node instead of "phone cases". After moving to the correct subcategory and adding attributes like model compatibility and material, impressions for model-specific queries grew by ~60% and conversion increased because customers could filter by phone model.
- Footwear without type. Sneakers listed in "shoes" but without the "type" attribute missed many filtered searches ("running", "sneakers"). Correct recategorization returned those impressions and improved CTR; additionally the product became eligible for category-specific promotions.
- Apparel size/sex mix-ups. Items missing sex/size attributes generated many customer questions and returns. Filling mandatory attributes reduced Q&A and returns, improving seller rating.
- Bundles and kits. Bundled offers placed in a single-item category were not shown for customers searching by included items. Reclassifying bundles into "kits" and listing component attributes fixed visibility and sales for bundle queries.
- Promotions and commissions. A product in the wrong category was excluded from a seasonal promo and was charged an unexpected commission. After correction, the product participated in the promo and net margin improved.
Practical tips and setup checklist
- Audit first. Export your catalog and identify items with low impressions, low CTR or many customer questions — these are candidate mismatches.
- Use category_id filters. In the seller cabinet, filter by category_id to find bulk errors (e.g., many SKUs assigned to a high-level node).
- Prioritize by impact. Fix bestsellers and SKUs with high traffic potential first.
- Fill required attributes. For each target category, list mandatory attributes (brand, EAN, size, material) and ensure they are filled. Missing required fields often remove products from filters and promos.
- Set matching rules. If you use AWW or another integrator, create rules that map by EAN, brand and normalized title. Prefer EAN and brand as primary keys.
- Test on a sample. Apply changes to a small set, observe metrics for 2–4 weeks, then roll out if positive.
- Track logs and errors. Monitor mapping errors after uploads and API updates — correct frequent mismatches and add exceptions.
- Document category policies. Keep an internal guide for how your team assigns categories and attributes for future onboarding and audits.
Mistakes to avoid
- Assigning too general categories. This reduces visibility in specific filters. Always look for the most precise applicable node.
- Relying only on title parsing. Titles can be inconsistent; prefer structured fields (EAN, brand, SKU) for mapping.
- Not keeping attributes up to date. Changing product specifications (e.g., size range or compatibility) without updating attributes leads to wrong filters.
- Over-automation without checks. Fully automatic rules can misassign edge cases — include human review for ambiguous mappings.
- Ignoring category-specific fees and promos. Check category rules for commissions and promo eligibility before finalizing mapping.
Automation and tools
Automation reduces manual work but requires setup and monitoring. Typical toolset:
- Seller cabinet — quick fixes, diagnostics and small bulk uploads.
- CSV/Excel bulk uploads — suited for large one-time updates; remember to validate formats and required columns.
- API — best for continuous sync and real-time updates (stock, price, attributes).
- Integrators and middlewares (e.g., AWW) — help map your feed to Kaspi.kz category tree, set rules by EAN/brand/title and automate attribute filling.
- Monitoring tools — set alerts on mapping errors, drops in impressions or spikes in returns after mass updates.
Recommended approach: combine rule-based automation (EAN → category, brand → category) with periodic manual reviews for low-confidence matches. Maintain a fallback category and a flagged queue for manual verification.
Short action plan for the next month
- Week 1 — Audit: Export catalog, find top SKUs with low impressions/CTR or many returns; compile a list of candidates for recategorization.
- Week 2 — Pilot fixes: Correct categories and fill required attributes for a test group (top 50–200 SKUs); monitor KPIs.
- Week 3 — Automation: Implement mapping rules in AWW or your integrator, set up CSV/API flows for the rest of the catalog, and create validation rules.
- Week 4 — Monitor and iterate: Compare metrics (impressions, CTR, conversion, returns) vs. baseline; expand changes and refine rules based on errors.
Following this plan will help you systematically improve product discoverability on Kaspi.kz, reduce manual errors and set a foundation for scalable catalog management.
Часто задаваемые вопросы
- How can I quickly find and fix products with wrong categories on Kaspi.kz?
- In the seller cabinet, use filters by category_id and export the product table to select suspicious items; it's helpful to look for products with low visibility and missing key attributes. Fixes can be made in bulk via CSV/Excel uploads or through the API, then verify correctness by checking the attribute set on the product card.
- What required attributes must be filled when assigning a category on the marketplace?
- Each category defines a set of required attributes — brand, EAN/barcode, size/volume, material and other specifications depending on the node. Missing required fields exclude products from relevant filters and promotions, so check the Kaspi category reference before publishing.
- How do I automate matching my price list to the category tree?
- Use third-party integrators or middlewares (for example, AWW) to create mapping rules by key fields: title, brand, EAN and SKUs. Set up a test sample, automatically assign category_id and attributes via API, then monitor mapping errors and update logs.
- What categorization mistakes most often reduce product visibility and how to fix them?
- Common mistakes are assigning an overly general category, omitting the product type (e.g., "sneakers" vs "shoes"), incorrect EANs or mixing sizes/sex. Fixes include precise recategorization, filling required attributes and reindexing product cards via bulk update or API.
- How to evaluate the effect of category reassignment on sales metrics in one month?
- Compare metrics for one week before and one month after changes: impressions, CTR, conversion and average position for target queries using Kaspi analytics or exports. For cleaner results, select a group of products and control price and stock changes so the effect of categorization is isolated from other factors.
