Try Me On

Name: Try Me On revenue & download estimates
Creator: AppCurrents

App Store·ShoppingPaid $2.99★ 5.00 (2)launched 6mo agoapp updated 6mo agocharts in 1 country

Scout Score

Try Me On generates an estimated $90–$2k/month in revenue from 80–400 downloads/month on the App Store, according to AppCurrents estimates (updated 2026-08-02).

Estimates updated 02.08.2026 · How we estimate · Ranges reflect model confidence, not exact figures.
Est. revenue / month	$90–$2k
Est. downloads / month	80–400
Estimate confidence	medium
Pricing	Paid $2.99
Rating	5.00 ★ (2 ratings)
Category	Shopping
Best chart rank	#99 Shopping Paid
Released	09.01.2026
App last updated	09.01.2026
Platform	iOS

Est. downloads / mo

80–400

Est. revenue / mo

$90–$2k

Rating velocity / day

Chart velocity

flat

Peak rank

#96

Days tracked

Chart ranks

#99 Shopping Paid

Modeled monthly estimate · rating velocity · medium confidence

About

Try Me On – AI Virtual Outfit Try-On See how outfits look on you before you buy. Try Me On is an AI-powered virtual try-on app that lets you instantly preview clothes using screenshots from online stores or photos you take in real life. No fitting room. No guessing. Just confidence. Whether you’re shopping online, browsing social media, or standing inside a store, Try Me On shows you how an outf…

View on the App Store →

Trends & analysis

Chart rank trend

US · category

#96#99

Jul 11Aug 3

Paid #99

Why it's surfacing

Scout 24

Newness

Breakout

Ratings & velocity

★ 0 in window

Total ratings

Jun 18Jul 27

New ratings / day

Jun 28Jul 27

Rating distribution

100% positive · 2 ratings

5★

100%

4★

3★

2★

1★

Geographic reach

best rank · 1 storefront

#99 category

Revenue & downloads trend

ARPU $2

Est. revenue / mo · $359

$359$33

Jun 18Aug 2

Est. downloads / mo · 172

17216

Jun 18Aug 2

Update history

1 update tracked

v1.0.56mo ago

Try Me On — FAQ

How much money does Try Me On make?

According to AppCurrents estimates, Try Me On generates approximately $90–$2k per month (medium confidence), modeled from its the App Store chart performance, rating velocity, and monetization signals.