How much does New Year Evening Party 2021 Fashion Doll Salon make per month?

Based on our ML-calibrated revenue forecast, New Year Evening Party 2021 Fashion Doll Salon earns approximately $313/mo. This is a US-storefront-equivalent estimate; global revenue can be several times larger for internationally-distributed apps. See the methodology page for the full formula and confidence bands.

What apps are like New Year Evening Party 2021 Fashion Doll Salon?

Browse the full Casual category catalog to find similar apps with revenue, build cost, audience and tech stack data. Each /p/{slug} page also shows a Compare side-by-side widget with three peer apps from the same niche.

Who makes New Year Evening Party 2021 Fashion Doll Salon?

New Year Evening Party 2021 Fashion Doll Salon is published by Hollywood Celebs. Fashion Salon Games on the Google Play Store. See the full publisher portfolio (other apps by the same developer) via the More by developer block on the product page above.

What is New Year Evening Party 2021 Fashion Doll Salon's BU Score?

New Year Evening Party 2021 Fashion Doll Salon has a BU Score of 51/100 (Solid). The score combines App Store rating, ratings count, monetization model and revenue signals calibrated against founder-verified MRR anchors. See the BU Score formula.

🚫

Removed from Google Play Store

This app is no longer available for download. Historical metadata preserved for reference.

New Year Evening Party 2021 Fashion Doll Salon

Quality Score

Solid

New Year Evening Party 2021 Fashion Doll Salon

Name: New Year Evening Party 2021 Fashion Doll Salon — app revenue, audience, build cost & risk profile
Creator: bumetric
License: https://creativecommons.org/licenses/by/4.0/
Keywords: New Year Evening Party 2021 Fashion Doll Salon revenue, New Year Evening Party 2021 Fashion Doll Salon app analytics, mobile app revenue estimate, Casual revenue, Android app revenue

3.9 ✍️ Editor

✍️ bumetric analysis

“

New Year Evening Party 2021 Fashion Doll Salon is an Android app from Hollywood Celebs. Fashion Salon Games in the Casual category, currently rated 3.9★ across 229 ratings. Initial signal reads as no scraped reviews yet: judgment based on metadata only.

Quality Score is 51: Solid (established niche player). For a Casual app, that means established niche player. The full BU Investment Matrix below scores 8 dimensions including monetisation, growth, and operational risk.

Track changes month-over-month in the Performance section below: live snapshot history and revenue forecast included.

📊 Performance Tracking LIVE

Loading…

idle

Rating

—

Reviews

—

Forecast Revenue / mo

—

Snapshots tracked

since first record

Range:

💰 Forecast Revenue / mo

MODEL

Revenue forecast computed from BU's 234 trigger model on each snapshot. Calibrated against ground-truth from 58 verified-revenue apps.

📥 Estimated Downloads / week

PROXY · ratings × 50/wk —

Industry-rule estimate (Sensor Tower / data.ai): one weekly install ≈ 50 new ratings. Solid points = tracked snapshots · faded line = pre-tracking model backfill.

📈 Reviews Growth

LIVE

Cumulative review count from first BU snapshot. Each point = a tracked update.

⭐ Rating Trend

LIVE

Average rating evolution. Updates with each new review batch.

🗓️ Snapshot Timeline

HISTORY

Each bar shows a tracked update and the metric delta from the previous snapshot.

Profile & Insights

Everything we know — and don't — about this app and its company.

Identification

App name: New Year Evening Party 2021 Fashion Doll Salon
Developer: Hollywood Celebs. Fashion Salon Games
Bundle ID: com.varni.newyeardressup
App Store URL: Open in App Store
Category: Casual
Content rating: Not found
Languages: Not found

Company

Website: Not found
Tagline: Not found
Description: Not found
Founded: Not found
HQ / Address: Not found
Employees: Not found
Logo: Not found

Revenue

Verified revenue / mo: Not found
AI revenue estimate / mo: Not found
AI annual estimate: Not found
ML model estimate / mo: $314/mo
Top-grossing rank: Not found
All-time revenue: Not found
Pricing: Not found

Founder

Founder data not yet collected for this app.

Funding

Funding data not yet collected for this app.

Press & Links

Press & Links data not yet collected for this app.

Contacts & Socials

Contacts & Socials data not yet collected for this app.

Profile is built from iTunes Lookup + developer site scrape + ML revenue model. Empty fields show "Not found" — additional sources (Crunchbase, X, IndieHackers, Acquire.com) coming.

App Specs

🔐 Own this app? Claim & verify MRR →

📂 Casual💰 Free

🔔

Track this app’s revenue

FREE

Get an email when revenue moves by your threshold. No spam, unsubscribe in one click.

ONE-TIME · BUILD 💰 Estimated build cost

$115K

↳ What it cost to build · not monthly revenue

Likely range $85K – $155K

$25K · MVP floor $100K · indie scale $500K+ · studio build

📈 Slow ROI — current MRR is well below build cost

Synthetic estimate. Inputs: category complexity, file size, screen count, monetization layer, platform reach, age × team-size proxy. Calibrated against 2024-2026 indie-agency rate surveys. Full math + source list on /methodology.

Where the money goes

🧱 MVP baseline (design + 1-store ship)	+$28K
📱 5 unique screens × $4.5K	+$22K
⚙ Casual complexity ×1.50	+$25K
🌐 Cross-platform reach (iOS + Android)	+$41K

Total estimate $115K

👥 Estimated audience size

50K

Lifetime downloads (US-equivalent)

Monthly active

3.0K

Daily active

1.0K

Synthetic estimate from ratings × category benchmarks. Calibrated against 2024-2026 mobile-attribution retention + DAU/MAU reports. Numbers are US-storefront-equivalent — true global audience can be 5-10× larger for international apps. Full math + source list on /methodology.

How we sized it

📲 Casual engagement	~220 installs / rating
🔁 Casual D30 retention	6%
📍 DAU / MAU stickiness	0.35

DAU / MAU 33% sticky

🛠 Estimated tech stack

🤖

Native Android (Kotlin)

Medium confidence · 55%

Also possible

Flutter

Heuristic guess from app bundle size, category, store description signals, and release-date stack era. Bumetric does not disassemble binaries — for binary-level certainty you would need an SDK intelligence tool or the manifest itself. Reasoning chain on the right. Full ruleset on /methodology.

Signals we read