chat with agentaskProjects2 folders 4 filesAI and agents2 folders 2 filesInfrastructure3 foldersDevelopment5 filesAbout5 files
EVIRMA 2: ad analytics for Wildberries
  • TypeScript
  • React
  • Redux Toolkit
  • TanStack Query
  • AG Grid
  • Chart.js
  • Vite
  • Manifest V3

EVIRMA 2: ad analytics for Wildberries

A Chrome extension for Wildberries sellers: ad and sales analytics right inside the marketplace UI. Frontend in a team, second by merged PRs after the tech lead.

2025 · frontend developer in a team · chrome.evirma.ru

Screenshots

  • Daily sales funnel table: totals and per-SKU rows with card visits, add-to-cart, orders, average price, CR, CRO, buyout rate, CRP and change against the previous period
    Sales funnel by day
  • Ad campaign stats by day: CTR, CPC, spend, CPO, ad cost of sales (DRR) variants and CPS, split by search, catalog and shelves, with a daily DRR chart below
    Ad campaign stats by day with ACoS and CPS
  • Ad campaign stats by keyword: active and excluded tabs, search volume, position, impressions, clicks, CTR, CPC, CPM, spend and an Export to Excel button
    Ad stats by keyword and Excel export
  • Keyword cluster table with spend share and cumulative spend share columns and highlighted CTR
    Spend share by keyword
  • Search volume block on the Wildberries search page: segment, cluster and query volume, a yearly volume chart and a dashed forecast for the next year
    Query frequency with a yearly forecast
  • Seller analytics section of the Wildberries seller dashboard with the extension's Best conversion rates button and a popup about top conversion rates in the niche
    Extension popup in the WB seller dashboard
  • Segmentation of the WB top results: categories, brands, ratings, reviews, colors and prices
    Top results segmentation
  • Ads on the search page: promoted items, campaign type, CPM bids and positions
    Ad analysis for a search query
  • Warehouse analysis: delivery speed and priority warehouse by city
    Warehouse analysis by region
  • Keyword research: frequency, trend, competition and difficulty for each phrase
    Keyword research

EVIRMA 2 plugs straight into Wildberries: search results, product pages, the seller dashboard and the ad dashboard. A seller sees which keywords the ads run on and what they cost, how a product sells day by day, and which competitors sit in the top results with what bids.

I joined a team of 7-8 people in January 2025. I took tasks from the tracker, and every PR went through the tech lead’s review. From January to September I merged 56 of the 229 PRs, second in the team after the tech lead. I owned the seller’s sales funnel from scratch, ad campaign stats by keyword and day with ACoS and spend shares, export to multi-sheet Excel workbooks, the query frequency chart with a yearly forecast, and competitor position analysis by query.

Technically, this is work inside someone else’s production. The extension reads the marketplace’s internal API by intercepting fetch in the page context and throttles requests with a token bucket, because WB bans clients for request frequency. Background jobs live in a service worker and survive it being put to sleep. The UI is injected into someone else’s markup, with styles isolated by a custom build plugin. Tables are built on AG Grid.

The last four screenshots come from the product’s landing page and show the extension as a whole.