How much does Automatic HD Wallpaper Changer make per month?

Based on our ML-calibrated revenue forecast, Automatic HD Wallpaper Changer earns approximately $5.0K/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.

Is Automatic HD Wallpaper Changer profitable?

With estimated build cost $110K and monthly revenue $5.0K, Automatic HD Wallpaper Changer looks break-even-grade — payback period sits around 1.8 years. Profitability also depends on paid-acquisition spend and refund rate which the public model doesn't see.

How many users does Automatic HD Wallpaper Changer have?

Estimated audience: ~330K lifetime downloads, ~23K monthly active users, and ~2K daily active users. Derived from ratings count × category installs-per-rating × age decay. US-storefront-equivalent — global audience can be 5-10× larger for internationally-distributed apps.

What apps are like Automatic HD Wallpaper Changer?

Browse the full Personalization 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.

What is Automatic HD Wallpaper Changer built with?

Our heuristic places Automatic HD Wallpaper Changer on the Native Android (Kotlin) stack (High confidence, 80%). Signals: app bundle size, category context, store-description markers, release-date era. We don't disassemble binaries. Alternative possibilities: Flutter.

Is Automatic HD Wallpaper Changer still actively maintained?

Maintenance status: Likely abandoned (88% abandonment risk). Last shipped version was 4+ years ago. The risk score combines time-since-last-update with Editor's Choice / curated featuring + user-base maturity adjustments.

How much would Automatic HD Wallpaper Changer sell for?

Estimated acquisition value: $75K (marketplace range $50K – $100K). Calculated as 16× monthly revenue using the standard multiple for the detected monetization model + adjustments for age, rating quality and category demand. Calibrated against 2024-2026 Flippa / Acquire.com / MicroAcquire closed-deal medians.

When was Automatic HD Wallpaper Changer last updated?

Automatic HD Wallpaper Changer last shipped a new version on 2022-10-07 — more than 4 year(s) ago. This is the date Apple / Google last accepted a new build, not a content-only push.

Who makes Automatic HD Wallpaper Changer?

Automatic HD Wallpaper Changer is published by Wave Sound Studio 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 Automatic HD Wallpaper Changer's BU Score?

Automatic HD Wallpaper Changer has a BU Score of 61/100 (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.

Automatic HD Wallpaper Changer

Quality Score

Solid

Automatic HD Wallpaper Changer

Name: Automatic HD Wallpaper Changer — app revenue, audience, build cost & risk profile
Creator: Bumetric
License: https://creativecommons.org/licenses/by/4.0/
Keywords: Automatic HD Wallpaper Changer revenue, Automatic HD Wallpaper Changer app analytics, mobile app revenue estimate, Personalization revenue, Android app revenue

by Wave Sound Studio

Medium confidence

4.4 Google Play rating

✍️ Bumetric analysis

“

Automatic HD Wallpaper Changer is an Android app from Wave Sound Studio in the Personalization category, currently rated 4.4★ across 2,153 ratings. Initial signal reads as mixed reviews: supporters praise core features while critics cite stability and value gaps.

Quality Score is 61: Solid (established niche player). For a Personalization 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.

💰 Monthly revenue · now vs forecast

● Right now

$5.0K

per month

→

12-mo forecast

$5.2K – $10.8K

per month

→

24-mo forecast

$6.4K – $19.2K

per month

MID tier

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Description hook & conversion structure
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Typical impact: +2-5× organic installs

📊 Performance Tracking LIVE

1 snapshots on record

idle

Rating

4.4

Reviews

2,153 reviews

Forecast Revenue / mo

$5.0K

Snapshots tracked

since May 2026

ONE-TIME · BUILD 💰 Estimated build cost

$110K

↳ What it cost to build · not monthly revenue

Likely range $80K – $150K

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

📈 Pays back in ~1.8y at current MRR

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
⚙ Personalization complexity ×0.90	$-5049
🌐 Cross-platform reach (iOS + Android)	+$24K
⚙ 6.7y maintenance × ~1-person team	+$40K

Total estimate $110K

ONE-TIME · EXIT VALUE 💵 Estimated acquisition value

$75K

↳ What it would sell for · not monthly revenue

Marketplace range $50K – $100K · 16× MRR multiple

💸 ~0.7× build cost (under-water)

Synthetic estimate. Multiple band derived from ad-supported + age, rating quality, category demand, and user-base maturity. Calibrated against 2024-2026 indie-app-marketplace closed-deal medians. Full math + comparable deal list on /methodology.

How the multiple was built

📺 Ad-supported base	15× MRR
📅 6.7y proven track record	+20%
⭐ ★ rating ≥ 4.4 (solid)	+8%
🏷 Personalization category multiple	-15%

Final multiple 16× MRR

👥 Estimated audience size

330K

Lifetime downloads (US-equivalent)

Monthly active

23K

Daily active

2.3K

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

📲 Personalization engagement	~220 installs / rating
📅 6.7y of rating accumulation	-30%
🔁 Personalization D30 retention	10%
📍 DAU / MAU stickiness	0.10

DAU / MAU 10% sticky

🛠 Estimated tech stack

🤖

Native Android (Kotlin)

High confidence · 80%

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

🏷 Category context	Personalization
📦 Compact Android bundle	→ Native Kotlin

💀 Maintenance status

Likely abandoned

88%

Last shipped 2022-10-07 · 1470 days ago

0 · Active 50 · At risk 100 · Abandoned

Heuristic risk score from time-since-last-update + ratings velocity proxy + Editor's Choice / curated featuring signals. Calibrated against 2024-2025 app-store ranking decay reports. Not a guarantee — a quiet app with a healthy codebase looks the same as an abandoned one until something breaks. Full math on /methodology.

Risk signals

📅 4y+ since last update

Likely abandoned

Verdict Likely abandoned

🔬

How we forecast this revenue

MEDIUM CONFIDENCE

Baseline

$5.0K/mo · ML-estimated from 234 triggers

Growth rate

+4.0% MoM · MID tier baseline (compound monthly)

6 months

$4.7K – $7.9K

12 months

$5.2K – $10.8K

24 months

$6.4K – $19.2K

Compound growth at +4.0% MoM (tier baseline for MID). Range widens with horizon — typical noise band ±25% at 6mo.. Ranges widen with horizon — distant futures carry more uncertainty.

📊

BU Investment Matrix

Below median · 46/100MID TIERunderperforming peers

Growth Velocity

5.0

Founder Strength

5.3

Product Quality

7.9

Revenue Strength

3.7

Monetization Maturity

1.0

Defensibility

6.7

Market Position

0.0

Operational Safety

7.0

💰 Revenue: Modest — $3K - $7K/mo · MID tier · medium confidence, trajectory unclear.
⭐ Quality: 4.41★ across 2,153 reviews — strong (top 10%).
📍 Market: Not yet charting in any of the 9 monitored markets.
📈 Growth: ⚠ last update 1467d ago — possibly dormant.
⚠️ Risk: Moderate — dormant (1467d since update).

🎯 For competitors: Mixed picture. Worth competing if you have a clear UX or pricing edge — otherwise crowded segment.

💵 For acquirers: Estimated asking range 18-32× monthly = $90K-$160K.

Composite of 8 dimensions computed deterministically from public signals — no LLM, every score traces back to a measurable input. Default weights shown; "compete" / "acquire" / "invest" lenses re-weight without re-fetching.

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.

🔬Forecast Breakdown — Why This Estimate?Top 5 of 5 triggers

Our ML model uses 200+ signals from public data. These are the most influential for this app:

5 starREVIEW		+$1,800
Low install base (2,153 ratings)METRIC		+$1,500
Good rating (4.4★)METRIC		+$800
Established app (6y old)METRIC		+$800
Ad-supported / freemiumMETRIC		+$600

METRIC = structural app data · REVIEW = mined from user reviews · ✓ VERIFIED = Stripe-verified anchor (TrustMRR)

📥 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: Automatic HD Wallpaper Changer
Developer: Wave Sound Studio
Bundle ID: com.wavesoundstudio.automaticwallpaperchanger
App Store URL: Open in App Store
Category: Personalization
Content rating: Not found
Languages: Not found

Company

Website: wavesoundstudioapps.blogspot.com
Tagline: Not found
Description: Not found
Founded: Not found
HQ / Address: Not found
Employees: Not found
Logo: Not found

Revenue

Reported revenue signal / mo: Not found
AI revenue estimate / mo: Not found
AI annual estimate: Not found
Model estimate / mo: $5.0K/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.

📝 About this app

This App helps you to change beautiful wallpaper and add the beautiful slide show of wallpapers into your mobile screen.

This is an automatic wallpaper changer app that renovates your phone's background daily.

You can set and select the best wallpapers in the Automatic Wallpaper Changer app in just one click are no need to hesitate to open a gallery and find images.

With Automatic Wallpaper Changer you can add unlimited favorite images.

FEATURES:

- Live Wallpapers

- Auto Wallpaper Changer

- Simple, Fast and light

- Set Home Screen and Lock Screen wallpaper quickly… View full description on the official store →

App Specs

🔐 Own this app? Claim & verify MRR →

🔖 v2.3🔄 updated 4y ago📂 Personalization💰 Free📺 Ad-supported🚀 Launched 2020 (6y old)

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📝 Description

BU Score · Transcendent

Full revenue analysis

Read the article-style breakdown for Automatic HD Wallpaper Changer: category rank, percentile, growth signal, comparable apps, and how the forecast is calibrated against verified-MRR anchors in this niche.

Read deep-dive →