AMAVI HomeStore
A Roblox experience owned by AMAVI.
RoleplayENclothing storeroleplayshopping
AMAVI HomeStore is a roleplay experience created on 2018-06-22. It has accumulated 3,136,055 lifetime visits and 109,032 favorites. The experience holds an 85% like percentage. Currently, zero users are playing the game.
Description (written by the developer; not a statement by this register)
❤️ If you've enjoyed visiting our home store, we'd appreciate it if you supported us even further and joined our group! Here's the link: https://www.roblox.com/My/Groups.aspx?gid=4200307 🌟 Furthermore, us here at AMAVI have taken months to develop a home-store purely based on the satisfaction of our customers. We made sure to execute our ideas to the best of our ability, creating an environment where you can not only shop for clothes but enjoy yourself. ⚠️ For the best possible experience, we recommend setting your graphics to the highest setting. Although, if you experience unfeasible lag, it's best you turn your graphics down until you're satisfied. 🔨 Everything was built by Zinvolle & scripted by Vrilith! GFXs produced by Astrollect and Zinvolle. 🔽 Scroll down to see our social links!
Last updated by the developer 24 Oct 2023, 22:25 UTC.
Live players over time
Growth
Growth history is still building. We hold one measurement for this entry. A trend needs at least two, taken days apart — so this will fill in on its own rather than being estimated. We do not publish numbers we have not measured.
| Measured (UTC) | Players | Change |
|---|---|---|
| 10 Aug 2026, 16:35 | 0 | first reading |
Concurrent players at each of our measurements (insert-on-change).
Monetization — game passes
Game passes for sale and their prices, measured from the Roblox passes API. Developer products bought inside the game aren’t publicly listable.
Badge funnel
How many players have ever earned each badge — a proxy for how far players get before they stop. Steep drop-offs mark where a game loses people. Win rate is the past-day share of players who earned it; categories are assigned by a language model from each badge’s own name and description.