WB · Household chemicals
142 shelves monitored
Traffic from “Similar items” +52% in 2 months
30–40% of traffic comes from “Similar items” — we show you where you stand
On any competitor’s product card, the “Similar items” shelf is the biggest source of non-search traffic. We build the map of donor shelves, see your position on each of them and log where the gaps open up.
We capture the search results a real shopper sees, not a data-center aggregate. “Similar items” are personalized — “cloud” data drifts from reality by 2–3×.
“Similar items” map
Snapshot: where you stand on competitors
in the toplower downdropped out
#1
#2
#4
—
#3
#6
#11
#2
#4
—
#5
#1
Each cell is a competitor’s product card. The number on the right is your position in their “Similar items”. A dash means you dropped out of the shelf.
4 situations where shelf monitoring pays for itself within a month
What you see in your account
Every competitor’s “Similar items” in one table, refreshed three times a day
Donor product card, region, your position, 14-day dynamics, shelf share and one button — “close the gap with shelf buyouts”. No “reports next week”
Presence dynamics
A long-range chart and a heatmap — to see the trend and the pinpoint dips
Presence in “Similar items” · 90 days
From 54% to 87% in a quarter
Trusty · presenceBenchmarkShelf buyouts
Wired to action. The blue markers are buyouts on the gaps we found. Each one closes 3–6 shelves. Without monitoring those points are picked blind.
Heatmap · presence by region
14 days × 7 cities
lowhigh
Moscow
St Petersburg
Kazan
Yekaterinburg
Novosibirsk
Krasnodar
Rostov
d1
d3
d5
d7
d9
d11
d13
Not a “report” — a tool for decisions
142
“Similar items” shelves monitored
median per project
3× a day
data freshness
not “a report next week”
×3
shelf buyout efficiency
we hit the right ones
+38%
traffic from “Similar items”
over 6–10 weeks of work
Why others fall short
Reading “Similar items” is an infrastructure product, not a “Python script”
“Similar items” are personalized by account and region. Capturing them properly takes a large fleet of real accounts. Most tools simply do not have one
Too narrow a footprint
Competitors read “Similar items” from a tiny pool of accounts in one location. The marketplace lumps them into a single cluster, so the scraper sees a “shelf for scrapers”, not the one shoppers get.
Real
results, not the “scraper” ones
Scraping from a data center
Tools pull the results from the cloud with no region attached. WB and Ozon show different “Similar items” in different cities — without that, the data drifts from reality by 2–3×.
×2–3
gap for “cloud” scrapers
Once a week is not monitoring
Competitors refresh their assortment faster than your report arrives. By the time the summary lands, half of the data is already stale.
3× a day
instead of a “weekly report”
Data with nothing attached
Most tools show you “here are your shelves” and stop there. With us, monitoring data feeds straight into shelf buyouts: we spot a gap → we close it in 3–4 days.
×3
buyout efficiency
Cases
Where shelf monitoring delivered measurable results
FAQ
What sellers ask most often
Objections and technical detail — straight answers before you start.
Analytics tools already do this — why you?+
They give averaged data from a data center; we collect the real search results, personalization by account and region included
Can we take monitoring only?+
Yes — the “Radar” plan with the dashboard and alerts; many start there and add shelf buyouts later
You read other sellers’ data — won’t the marketplace penalize us?+
We collect only publicly available data — the same thing any shopper sees; no access to anyone’s seller account is needed
Can we track specific competitor product cards?+
Yes, from your own list; plus we find indirect competitors — shelves where you could be present
Which shelves do you track?+
The main focus is the “Similar items” block; other blocks on request (options are limited on Yandex Market)
How often is the data refreshed?+
Three times a day, priority product cards more often; the cadence is tuned to your process
Which regions are covered?+
Key cities across Russia; we add new ones on request
We need our own BI — is there an API?+
Yes, REST and webhooks; documentation after signing, unlimited on the “Pro” plan
What reports do I get?+
A round-the-clock dashboard, Telegram alerts on drop-outs, a weekly PDF and CSV/XLSX exports
How long does launch take?+
The shelf map takes 3–5 business days, full monitoring with history — 2 weeks