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SEO case study, toy store: 60% of queries in the top 3 — held for a full year

August 19, 2026 · 5 min read

An anonymized case: a regional children's toy store. In a year — from 40 to 57 queries in Yandex's top 10, 45 in the top 3, 27 at #1. Five measurements across 12 months confirm a plateau, not a spike. Figures from primary reports.

Toys are bought with the heart: a birthday present, the construction set “like my friend's”, a plush bear for no reason at all. But before buying with the heart, parents search with their heads. One of the cases from our archive: a regional children's toy store that, within a year, became its city's first answer to almost any such query. The brand and city are withheld; every figure comes from primary reports, unchanged.

The starting point: a good store on line ten

At the start, 40 of 91 tracked queries stood in Yandex's top 10, with 13 at #1. For a real store with real stock that is a painful position: the demand is there — “wooden toys”, “board games”, “buy a plush bear”, “toy store in [city]” — but the buyer goes to whoever ranks higher.

The method: a page for every kind of childhood joy

We rebuilt the semantics the way a parent thinks: wooden toys, plush toys, board games, construction sets, dolls, products for the youngest. Each category got its own landing page with a clear structure and copy that answers the buyer's question rather than an optimizer's fantasy. Then — methodical on-page work and a careful external layer.

The dynamics: a year of work in five measurements

  • Start: 40 of 91 queries in Yandex's top 10, 13 at #1.
  • 8 months in: 37 of 51 in the top 10, 22 at #1.
  • 2 months later: 44 of 51 in the top 10, 34 in the top 3.
  • A month later: 56 of 65 in the top 10, 42 in the top 3, 28 at #1.
  • Final measurement (a year after the start): 57 of 75 in the top 10 (76%), 45 in the top 3 (60%), 27 at #1.

Five consecutive measurements are the real point of this case. One good report can be luck; a year of stable numbers is a system. Category queries — “wooden toys”, “plush toys”, “buy a nesting doll” — settled at #1 and never gave the position up in any measurement.

The most satisfying line in these reports is not the “#1” — it's seeing it repeat month after month. When a parent searches for a child's present on any day of the year and the same store comes up first, that is what working SEO looks like.

What this case proves — and what it doesn't

It proves that in regional e-commerce a category structure — a page per product type — lifts most of the semantics into the top and, more importantly, keeps it there for months. It does not prove Google yields as easily: rankings there were noticeably more modest (around 20 queries in the top 10), and that is an honest part of the picture. The case is from the “classic search” era; today we would add a GEO layer to the same structure — the same category pages are read and cited by AI assistants.

faq

The short version

Why is the store's name and city withheld?

We don't publish client data without explicit consent. The figures come from five primary rank-tracking reports and are quoted unchanged; the brand and city are generalized.

What mattered most in this project?

Retention. Getting a query to the top is half the job; five measurements across a year showed the category pages held their #1 positions consistently. For a seasonal product like toys that is critical — demand peaks can't be missed.

Why is the Google result more modest?

Yandex's regional results responded more strongly to local relevance and structure at the time, while Google was dominated by federal marketplaces. We say this openly: every channel has a ceiling, and an honest case shows both numbers.