Age Changer - Old Filter
49
Quality Score
Emerging
βοΈ GetAppValue analysis
“
Age Changer - Old Filter is an Android app from Hairstyle Photo Apps in the Photography category, currently rated 3.3β across 1,713 ratings. Initial signal reads as largely positive sentiment, users highlighting consistency and feature depth.
Quality Score is 49: Emerging (early traction worth watching). For a Photography app, that means early traction worth watching. 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.
π° Monthly revenue Β· now vs forecast
β Right now
$5.0K
per month
β
12-mo forecast
$5.2K β $10.8K
per month
β
24-mo forecast
$6.4K β $19.2K
per month
MID tier
π‘ Grow this revenue
Free AI audit of this appβs store listing
- Title & subtitle keyword fit
- Description hook & conversion structure
- Screenshots, ratings, reviews strategy
Typical impact: +2-5Γ organic installs
π Performance Tracking LIVE
Loadingβ¦
Rating
β
Reviews
β
Forecast Revenue / mo
β
Snapshots tracked
0
since first record
ONE-TIME Β· BUILD
π° Estimated build cost
$105K
β³ What it cost to build Β· not monthly revenue
Likely range $80K β $140K
$25K Β· MVP floor
$100K Β· indie scale
$500K+ Β· studio build
π
Slow ROI β current MRR is well below build cost
Synthetic estimate. Inputs: category complexity, file size, screen count, monetization layer, platform reach, age Γ team-size proxy. Calibrated against 2024-2026 indie-agency rate surveys. Full math + source list on /methodology.
Where the money goes
| 𧱠MVP baseline (design + 1-store ship) | +$28K |
| π± 5 unique screens Γ $4.5K | +$22K |
| β Photography complexity Γ1.35 | +$17K |
| π Cross-platform reach (iOS + Android) | +$37K |
Total estimate
$105K
π₯ Estimated audience size
205K
Lifetime downloads (US-equivalent)
Monthly active
30K
Daily active
7.6K
Synthetic estimate from ratings Γ category benchmarks. Calibrated against 2024-2026 mobile-attribution retention + DAU/MAU reports. Numbers are US-storefront-equivalent β true global audience can be 5-10Γ larger for international apps. Full math + source list on /methodology.
How we sized it
| π² Photography engagement | ~120 installs / rating |
| π Photography D30 retention | 15% |
| π DAU / MAU stickiness | 0.25 |
DAU / MAU
25% sticky
π¬
How we forecast this revenue
MEDIUM CONFIDENCEBaseline
$5.0K/mo Β· ML-estimated from 234 triggers
Growth rate
+4.0% MoM Β· MID tier baseline (compound monthly)
6 months
$4.7K β $7.9K
12 months
$5.2K β $10.8K
24 months
$6.4K β $19.2K
Compound growth at +4.0% MoM (tier baseline for MID). Range widens with horizon β typical noise band Β±25% at 6mo.. Ranges widen with horizon β distant futures carry more uncertainty.
π
BU Investment Matrix
Below median Β· 46/100MID TIERunderperforming peersRevenue Strength
3.7
Product Quality
5.9
Market Position
0.0
Growth Velocity
5.0
Defensibility
6.5
Operational Safety
8.0
Founder Strength
6.6
Monetization Maturity
1.0
- π° Revenue: Modest β $3K - $7K/mo Β· MID tier Β· medium confidence, trajectory unclear.
- β Quality: 3.3β across 1,713 reviews β below category median.
- π Market: Not yet charting in any of the 9 monitored markets.
- π Growth: Insufficient signal to assess trajectory.
- β οΈ Risk: Moderate β no material risk signals detected.
π― For competitors: Mixed picture. Worth competing if you have a clear UX or pricing edge β otherwise crowded segment.
π΅ For acquirers: Estimated asking range 18-32Γ monthly = $90K-$160K. Portfolio play ($11K/mo combined) commands premium.
Composite of 8 dimensions computed deterministically from public signals β no LLM, every score traces back to a measurable input. Default weights shown; "compete" / "acquire" / "invest" lenses re-weight without re-fetching.
Range:
π° Forecast Revenue / mo
MODELRevenue forecast computed from BU's 234 trigger model on each snapshot. Calibrated against ground-truth from 58 verified-revenue apps.
π¬Forecast Breakdown β Why This Estimate?Top 4 of 4 triggers
Our ML model uses 200+ signals from public data. These are the most influential for this app:
| Low install base (1,713 ratings)METRIC | +$1,500 | |
| Below-average rating (3.3β )METRIC | β$1,500 | |
| Established app (5y old)METRIC | +$800 | |
| Ad-supported / freemiumMETRIC | +$600 |
METRIC = structural app data Β· REVIEW = mined from user reviews Β· β VERIFIED = Stripe-verified anchor (TrustMRR)
π Reviews Growth
LIVECumulative review count from first BU snapshot. Each point = a tracked update.
β Rating Trend
LIVEAverage rating evolution. Updates with each new review batch.
Profile & Insights
Everything we know β and don't β about this app and its company.
Identification
- App name
- Age Changer - Old Filter
- Developer
- Hairstyle Photo Apps
- Bundle ID
- com.old.face.aging
- App Store URL
- Open in App Store
- Category
- Photography
- Content rating
- Not found
- Languages
- Not found
Company
- Website
- bestphotoapps.ru
- 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
- ML model estimate / mo
- $115/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" β additional sources (Crunchbase, X, IndieHackers, Acquire.com) coming.
π About this app
πDiscover the old face app free βAge Changer - Old Filterβ! Aging app lets you see what you look like when you grow up! This face age app free uses advanced filters for pictures free to create realistic aging effects. Whether you want to explore gray hair, facial wrinkles, or even old age teeth, this photo editor transforms you from young to old. Perfect for fun or curiosity, the aging booth free feature ensures endless entertainment. Download face age app free and experience the age filter camera on the market! π
FROM YOUNG TO OLDβ¦ View full description on the official store β
FROM YOUNG TO OLDβ¦ View full description on the official store β
π vVaries with deviceπ updated 0d agoπ Photographyπ° FreeπΊ Ad-supported
π
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π Description
95
BU Score Β· Transcendent
Full revenue analysis
Read the article-style breakdown for Age Changer - Old Filter: category rank, percentile, growth signal, comparable apps, and how the forecast is calibrated against verified-MRR anchors in this niche.
More by Hairstyle Photo Apps
View all βπ¦ Portfolio summaryINDIE studio
88appsΒ·$11K/mocombined
β Diversified β top app contributes 3%; risk spread across portfolio
About this analysis
Why medium confidence: 1,713 ratings Β· no founder-verified revenue (model estimate only).
β Frequently Asked Questions
4 answers Β· auto-generated from this app's public dataHow much does Age Changer - Old Filter make per month?β΄
Based on our ML-calibrated revenue forecast, Age Changer - Old Filter earns approximately $356/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 Age Changer - Old Filter?β΄
Browse the full Photography 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 Age Changer - Old Filter?β΄
Age Changer - Old Filter is published by Hairstyle Photo Apps 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 Age Changer - Old Filter's BU Score?β΄
Age Changer - Old Filter has a BU Score of 49/100 (Emerging). The score combines App Store rating, ratings count, monetization model and revenue signals calibrated against founder-verified MRR anchors. See the BU Score formula.