How much does 카톡감정분석! 텍스트앳 make per month?

Based on our ML-calibrated revenue forecast, 카톡감정분석! 텍스트앳 earns approximately $727/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 카톡감정분석! 텍스트앳?

Browse the full Entertainment 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 카톡감정분석! 텍스트앳?

카톡감정분석! 텍스트앳 is published by Scatter Lab, Inc. 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 카톡감정분석! 텍스트앳's BU Score?

카톡감정분석! 텍스트앳 has a BU Score of 47/100 (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.

카톡감정분석! 텍스트앳

Quality Score

Emerging

카톡감정분석! 텍스트앳

Name: 카톡감정분석! 텍스트앳 — app revenue, audience, build cost & risk profile
Creator: GetAppValue
License: https://creativecommons.org/licenses/by/4.0/
Keywords: 카톡감정분석! 텍스트앳 revenue, 카톡감정분석! 텍스트앳 app analytics, mobile app revenue estimate, Entertainment revenue, Android app revenue

by Scatter Lab, Inc.

Medium confidence

2.8 ✍️ Editor

✍️ GetAppValue analysis

“

카톡감정분석! 텍스트앳 is an Android app from Scatter Lab, Inc. in the Entertainment category, currently rated 2.8★ across 5,021 ratings. Initial signal reads as mixed reviews: supporters praise core features while critics cite stability and value gaps.

Quality Score is 47: Emerging (early traction worth watching). For a Entertainment 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.

💰 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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Title & subtitle keyword fit
Description hook & conversion structure
Screenshots, ratings, reviews strategy

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Typical impact: +2-5× organic installs

📊 Performance Tracking LIVE

Loading…

idle

Rating

—

Reviews

—

Forecast Revenue / mo

—

Snapshots tracked

since first record

ONE-TIME · BUILD 💰 Estimated build cost

$120K

↳ What it cost to build · not monthly revenue

Likely range $90K – $160K

$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
💎 In-app purchase plumbing	+$9K
⚙ Entertainment complexity ×1.30	+$17K
🌐 Cross-platform reach (iOS + Android)	+$42K

Total estimate $120K

ONE-TIME · EXIT VALUE 💵 Estimated acquisition value

$15K

↳ What it would sell for · not monthly revenue

Marketplace range $10K – $20K · 22× MRR multiple

💸 ~0.1× build cost (under-water)

Synthetic estimate. Multiple band derived from iap / freemium model + 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

💎 IAP / freemium model base	28× MRR
⭐ ★ rating < 3.5 (weak)	-18%
🏷 Entertainment category multiple	-5%

Final multiple 22× MRR

👥 Estimated audience size

750K

Lifetime downloads (US-equivalent)

Monthly active

90K

Daily active

36K

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

📲 Entertainment engagement	~150 installs / rating
🔁 Entertainment D30 retention	12%
📍 DAU / MAU stickiness	0.40

DAU / MAU 40% sticky

🔬

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 · 48/100MID TIERunderperforming peers

Revenue Strength

3.7

Product Quality

5.1

Market Position

0.0

Growth Velocity

5.0

Defensibility

8.5

Operational Safety

8.0

Founder Strength

4.5

Monetization Maturity

4.0

💰 Revenue: Modest — $3K - $7K/mo · MID tier · medium confidence, trajectory unclear.
⭐ Quality: 2.83★ across 5,021 reviews — below category median.
📍 Market: Not yet charting in any of the 9 monitored markets.
📈 Growth: Insufficient signal to assess trajectory.
⚠️ Risk: Moderate — no material risk signals detected.

🎯 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 4 of 4 triggers

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

Low install base (5,021 ratings)METRIC		+$1,500
Below-average rating (2.8★)METRIC		−$1,500
Mature app (13y old)METRIC		+$1,500
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: 카톡감정분석! 텍스트앳
Developer: Scatter Lab, Inc.
Bundle ID: com.scatterlab.textat
App Store URL: Open in App Store
Category: Entertainment
Content rating: Not found
Languages: Not found

Company

Website: www.textat.co.kr
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: $115/mo
Top-grossing rank: Not found
All-time revenue: Not found
Pricing: $0.99 - $17.99 per item

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

"An unprecedented sentiment analysis service, TEXTAT"

Text@ will tell you the feelings of some people who wanted to know but never knew!

Text@ is a service that objectively analyzes emotions based on exchanged KakaoTalk conversations.

Did you believe in an unfounded psychological test or tarot point?

Or did you rely on objectivity, unreliable friends' advice?

With Text@, which scientifically analyzes the conversation, you can immediately see the person's emotions that excite me!

<b></b>

We talk in different ways depending on who we talk to.… View full description on the official store →

App Specs

🔐 Own this app? Claim & verify MRR →

🔖 vVaries with device📂 Entertainment💰 Free💎 IAP $0.99 - $17.99 per item

🧪

Tech & Domain Intel — textat.co.kr

Mail provider: Google Workspace

Derived from public RDAP + DNS TXT records (no scraping, no login).

🔔

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📝 Description

BU Score · Transcendent

Full revenue analysis

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

Read deep-dive →