ШХД: ЗИМА / IT'S WINTER
ИЛЬЯМАЗО · 2019 · $9.99 · Casual · deal grade B
Measured on 2026-10-02 20:03 UTC, 3 days ago. The whole catalog is re-measured daily; a game that just launched can move fast between passes.
- Estimated net residual revenue: $295 to $443 per month
- Opportunity: $480 per month at x1.30 dormancy
- Estimated lifetime owners: 32.3k
- 77% positive across 880 reviews · 6.9 reviews/month
Why it's flagged
- Developer active, last post 3 months ago
- Studio active elsewhere (2 titles tracked), so this one may welcome a partner
- Store page localized in only 2 language(s)
- Last discounted 0 months ago, 4 sales in the last 12 months
- Proven demand elasticity: x1.7 review velocity during past deep sales
Analyst notes (AI-assisted)
Note written 2026-09-18; the live figures above take precedence over any numbers in it.
A short walking simulator set in a Russian winter village, priced at $9.99 for roughly 15–25 minutes of playtime.
This is a micro-experience with solid production quality (76% positive, 807 Steam reviews) that has found a quiet, largely Russian-speaking audience since 2019. The title generates modest residual revenue with minimal ongoing investment, but the severe price-to-playtime ratio and zero discount history suggest limited growth or acquisition appeal. Better positioned as a reference case for understanding niche casual/art-game pricing psychology than as a catalog anchor. Most realistic play: watch.
- Risk: Median playtime of 0.25 hours and a median price of $9.99 creates a poor perceived value ratio that English-language reviewers explicitly criticize; price elasticity is inelastic, so cutting price may not drive volume and could cannibalize future sales.
- Risk: Localization gap of 81% (game is predominantly Russian-facing; English UI and minimal translation) limits mainstream discoverability and player acquisition outside its home market.
- Risk: Zero promotions or discounts in 12 months despite near-zero current active players suggests the developer may be preserving price perception rather than chasing sales, reducing visibility in algorithmic recommendations.
This case as Markdown · Estimates carry ±30-50% error per title.