WB analytics

WB analytics is building an analytics system for a Wildberries seller: collecting data from the account/reports/API, dashboards on sales/revenue/profit, calculating unit economics (commissions, logistics, storage, returns, advertising, taxes), ABC analysis of the assortment, control of stock and turnover, the card funnel (impressions→clicks→orders→buyout), analysis of niches/competitors (by available/estimated data), regular reports and recommendations. The work: data collection, dashboards, unit economics, reports. Honestly about 'analytics ≠ sales growth', this is key: analytics shows what is happening, where money is lost and where the opportunities are, and helps make informed decisions — but the decisions themselves and their execution (cards/price/advertising/supplies) give the result, not the report. 'We connect analytics — sales will grow' = a lie. Honestly about 'WB data is limited/estimated': some data is available with a delay, aggregated or approximate; data on competitors/niches from external services is estimated (parsing/models), not the platform's exact figures; we honestly mark reliability. Honestly about 'garbage in — garbage out': the quality of analytics depends on the correctness of expense/cost accounting — your data is needed. Honestly about 'analytics highlights, does not execute': we give data and recommendations; implementing changes is separate work (cards 573, advertising 574). Honestly about 'no metric inflation': we show an honest picture, including an unpleasant one (loss-making SKUs, high ACoS), we do not embellish. Honestly about the effect: it builds a WB analytics system (dashboards, unit economics, ABC, stock, funnel, niches/competitors by estimated data) with reports and recommendations, giving a basis for decisions, but this is a tool, not sales growth; WB data is limited/estimated; quality depends on your data; analytics highlights, does not execute; no inflation. Honestly about access: account/report access, cost/expense data are needed. An important boundary: this is analytics; cards — 573; advertising — 574; registration — 572. The base price starts from 18,000 ₽ for analytics setup (depends on volume/depth).

• No clear picture: there are sales but profit is unclear (commissions/logistics/returns not calculated).
• A misconception that analytics by itself will boost sales.
• Trust in 'exact' data on competitors/niches (often estimated/parsing, not the platform's figures).
• Decisions blindly/without unit economics (loss-making SKUs, overstocking, high ACoS).

• Collecting data from the account/reports/API, dashboards (sales/revenue/profit)
• Calculating unit economics (commissions/logistics/storage/returns/advertising/taxes)
• ABC analysis, stock/turnover control, the card funnel
• Analysis of niches/competitors by available/estimated data (with a reliability mark)
• An honest assessment: what analytics will show and what depends on the execution of decisions
• Honest boundaries (analytics ≠ sales growth; WB data is limited/estimated; quality depends on your data; highlights, does not execute; no inflation)
• Regular reports and recommendations
• Review with you

• A WB analytics system (dashboards, unit economics, ABC, stock, funnel) + reports with recommendations
• A clear picture of profit and problem areas for informed decisions
• An honest assessment: what the data shows (and its reliability) and what depends on execution
• Honest boundaries (not sales growth by itself; data is limited/estimated; no inflation)

• We connect data (account/API), build dashboards and unit economics
• We do ABC/stock/funnel/niches, mark data reliability, prepare recommendations
• We honestly set boundaries (analytics ≠ sales; data is estimated) and hand over with reports

• We connect analytics — will sales grow?

  Not by themselves, honestly: analytics shows what is happening, where money is lost and where the opportunities are, and helps make decisions. But the result comes from the decisions themselves and their execution (cards/price/advertising/supplies), not the report. We honestly give strong analytics as a basis, without promises of sales growth from the fact of reports.

• Will the competitor data be exact?

  More often estimated, honestly: the platform does not give out competitors' exact sales figures; external services give estimates (parsing/models) that may diverge from reality. We use available data and honestly mark its reliability so you do not take an estimate for a fact.

• Will you also implement the changes from the analytics?

  Analytics highlights, honestly: we give data and recommendations (what to improve in cards, price, advertising, supplies). Implementation is separate work (cards 573, advertising 574). We honestly separate analysis and execution so you understand the scope; if you wish, we will do the implementation too.