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24
Quality Score
Niche

Скидочные карты

ZCAnalyzed by Zakhar Chumak · founder, bumetric·Methodology
1.7 ✍️ Editor
✍️ bumetric analysis

Скидочные карты is an iOS app from Vladimir Zhizhin in the Shopping category, currently rated 1.7★ across 22 ratings. Initial signal reads as mostly critical sentiment so far: users flag rough edges and unmet expectations.

Quality Score is 24: Niche (micro-niche or pre-traction stage). For a Shopping app, that means micro-niche or pre-traction stage. 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.

💰 Revenue · today and ahead
Today
$500/mo
In 12 months
$437 – $1575
In 24 months
$405 – $3644
INDIE tier
💡 Grow this revenue

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📊 Performance Tracking LIVE

Loading…
idle
0%
Rating
Reviews
Forecast Revenue / mo
Snapshots tracked
0
since first record
ONE-TIME · BUILD💰 Estimated build cost
$85K
What it cost to build · not monthly revenue
Likely range $65K – $115K
$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
Shopping complexity ×1.30+$15K
3.6y maintenance × ~1-person team+$21K
Total estimate$85K
🛠 Estimated tech stack
🍎
Native iOS (SwiftUI)
High confidence · 80%
Also possible
Native iOS (Swift / UIKit)

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
📦App bundle size28 MB
🏷Category contextShopping
📦Compact iOS bundle→ Native SwiftUI (post-2020 era)
💀 Maintenance status
Likely abandoned
95%
Last shipped 2024-03-04 · 810 days ago
0 · Active50 · At risk100 · 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
📅2y+ since last updateLikely abandoned
👥Small user base (22 ratings) + 3.6y old+10% (solo-project pattern)
VerdictLikely abandoned
🔬

How we forecast this revenue

LOW CONFIDENCE
Baseline
$500/mo · ML-estimated from 234 triggers
Growth rate
+6.0% MoM · INDIE tier baseline (compound monthly)
Direction
Headwinds: rating drift may slow acquisition, low defensibility moat
6 months
$426 – $993
12 months
$437 – $1.6K
24 months
$405 – $3.6K
Compound growth at +6.0% MoM (tier baseline for INDIE). Range widens with horizon — typical noise band ±40% at 6mo.. Ranges widen with horizon — distant futures carry more uncertainty.
📊

BU Investment Matrix

Pre-traction · 29/100INDIE TIERlimited signal
GrowthFounderQualityRevenueMonetiz.MoatMarketSafety
Growth Velocity
5.0
Founder Strength
2.9
Product Quality
1.4
Revenue Strength
2.7
Monetization Maturity
1.0
Defensibility
2.9
Market Position
2.0
Operational Safety
5.0
  • 💰 Revenue: Marginal — $200 - $1250/mo · INDIE tier · medium confidence, trajectory unclear.
  • ⭐ Quality: 1.73★ across 22 reviews — weak — significant quality concerns.
  • 📍 Market: Not yet charting in any of the 9 monitored markets.
  • 📈 Growth: ⚠ last update 809d ago — possibly dormant.
  • ⚠️ Risk: Elevated — dormant (809d since update).
🎯 For competitors: Vulnerable. Quality drift + slow updates create a clear opening for a fresh competitor with active dev cadence.
💵 For acquirers: Estimated asking range 18-32× monthly = $9K-$16K.
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:
Below-average rating (1.7★)METRIC
−$1,500
Established app (3y old)METRIC
+$800
Ad-supported / freemiumMETRIC
+$600
Single-language (English only)METRIC
−$400
Pre-traction phase (22 ratings)METRIC
−$300
METRIC = structural app data · REVIEW = mined from user reviews · ✓ VERIFIED = Stripe-verified anchor (TrustMRR)

📈 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.
App Specs
🔐 Own this app? Claim & verify MRR →
💾 28 MB🔞 4+📱 iOS 16.0+🔖 v7🔄 updated 2y ago🌐 RU📂 Shopping💰 Paid🚀 Launched 2022 (3y old)

📝 About this app

Мобильное приложение в котором мы собрали самые популярные дисконтные карты.

Вы можете воспользоваться уже готовыми картами.

Все основные скидочные карты будут бесплатно всегда у вас под рукой в одном месте и вам не потребуется кошелёк.

Покажите скидочную карту из приложения на кассе в магазине. Получите скидку. Это быстро и удобно.… View full description on the official store →

🆕 What's New · v7

Добавлены скидочные карты для новых продуктовых магазинов, магазинов косметики и аптек.

Также добавлена возможность выбрать другую карту, если карту не принимают на кассе. Для этого нужно нажать кнопку "Другая карта" под QR кодом на странице скидочной карты.… Full release notes →
📅

What Worked™ · Development Pipeline

5 EVENTS TRACKED
Detected changes in this app over its tracked lifetime — each event links cause (what changed) to effect (what moved). Sorted newest first.See full history →Version history →
2026-03
Rating ↑ 1.57 → 2.10 (improved 0.53★)
2026-03
📈
Crossed 10 ratings — social-proof flywheel kicking in
2023-09
Rating ↓ 2.33 → 2.00 (dropped 0.33★)
2023-08
Rating ↑ 1.00 → 2.33 (improved 1.33★)
2023-01
🚀
First tracked snapshot — initial data captured
🧪

Tech & Domain Intel — voiceapp.ru

Mail provider
Yandex Mail
Derived from public RDAP + DNS TXT records (no scraping, no login).
🌍

Multi-Country Performance

Available in 9 of 9 monitored markets
MarketRatingReviewsCurrent version
🇦🇺 AU1★31★ this version
🇧🇷 BR0★0
🇨🇦 CA2.5★42.5★ this version
🇩🇪 DE2.77778★92.77778★ this version
🇫🇷 FR1.5★21.5★ this version
🇬🇧 GB1★11★ this version
🇮🇳 IN1★11★ this version
🇯🇵 JP0★0
🇺🇸 US1.72727★221.72727★ this version
🔔

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Profile & Insights

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

Identification

App name
Скидочные карты
Developer
Vladimir Zhizhin
Bundle ID
Vladimir.DiscountCard
App Store URL
Open in App Store
Category
Shopping
Content rating
4+
Languages
RU

Company

Website
Not found
Tagline
voiceapp.ru
Description
Голосовой помощник Алиса, Google Ассистент, Siri. Умный дом Яндекс, Apple HomeKit, Google Home. Умная колонка Яндекс Станция, HomePod, Google.
Founded
Not found
HQ / Address
Not found
Employees
Not found
Logo
Available

Revenue

Verified revenue / mo
Not found
AI revenue estimate / mo
Not found
AI annual estimate
Not found
ML model estimate / mo
$86/mo
Top-grossing rank
Outside top 100 in US Shopping
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

Socials
youtube youtube.com/voiceapp
Email
info@voiceapp.ru
Phone
Not found
Contact page
Not found
About page
Not found
AI Revenue EstimateCONFIDENCE: LOW
No specific revenue data for the iOS app "Скидочные карты" by Vladimir Zhizhin is publicly available from sources like Sensor Tower, Statista, Adapty, or founder claims. The app is free with in-app purchases (likely for ad removal) and has a very low rating of 1.7 out of 5 based on 22 reviews, with users reporting issues with card functionality. General market data suggests that a significant percentage of new apps, especially those with poor user feedback, generate minimal revenue, often less than $1,000 per month.
Sources mentioned: Sensor Tower, Statista, Adapty, Reddit, App Store
Recent App Store Reviews7 latest · avg 1.57★ · 14.3% 5★ · 85.7% 1★
5★
1 (14%)
4★
0 (0%)
3★
0 (0%)
2★
0 (0%)
1★
6 (86%)
+1 ratings/week
Top positive
★☆☆☆☆ обман
карты не рабочие, проверены на собственном опыте…
★☆☆☆☆ Приложение не очень
Все карты заблокированы не где нету скидок…
Top negative
★☆☆☆☆ Не то что нужно
В таких приложениях люди обычно хотят добавить или выпустить свою карту, а преложение чужих карт, которые возможно не работают может быть дополнением к основному функционалу. Искал замену недавно закрывшемуся стокарду, это приложение вообще…
★☆☆☆☆ Ужас
Все карты заблокированы…
📈Ratings growth22 ratings+2100% lifetimeShow 3-year history estimate ▾Jan 2023Dec 2024May 2026
Tracked (9 weeks) Pre-tracking estimate (36 weeks) · model-based, ±5% noise · anchored to release date and current value
🌍Geographic ReachNot ranked
This app is currently outside the top 100 grossing in all 9 countries we monitor (US, UK, DE, FR, JP, CA, AU, BR, IN). Niche or new apps often launch this way — popularity rankings appear once daily revenue clears the regional threshold.
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.

Similar apps in Shopping

Full revenue analysis
Read the article-style breakdown for Скидочные карты: category rank, percentile, growth signal, comparable apps, and how the forecast is calibrated against verified-MRR anchors in this niche.
Read deep-dive →

Frequently Asked Questions

8 answers · auto-generated from this app's public data
How much does Скидочные карты make per month?
Based on our ML-calibrated revenue forecast, Скидочные карты earns approximately $86/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 Скидочные карты profitable?
With estimated build cost $85K and monthly revenue $86, Скидочные карты looks well below break-even — current monthly revenue is much smaller than the estimated build cost. Profitability also depends on paid-acquisition spend and refund rate which the public model doesn't see.
What apps are like Скидочные карты?
Browse the full Shopping 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 Скидочные карты built with?
Our heuristic places Скидочные карты on the Native iOS (SwiftUI) stack (High confidence, 80%). Signals: app bundle size, category context, store-description markers, release-date era. We don't disassemble binaries. Alternative possibilities: Native iOS (Swift / UIKit).
Is Скидочные карты still actively maintained?
Maintenance status: Likely abandoned (95% abandonment risk). Last shipped version was 2+ years ago. The risk score combines time-since-last-update with Editor's Choice / curated featuring + user-base maturity adjustments.
When was Скидочные карты last updated?
Скидочные карты last shipped a new version on 2024-03-04 — more than 2 year(s) ago. This is the date Apple / Google last accepted a new build, not a content-only push.
Who makes Скидочные карты?
Скидочные карты is published by Vladimir Zhizhin on the Apple App 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 Скидочные карты's BU Score?
Скидочные карты has a BU Score of 24/100 (Niche). The score combines App Store rating, ratings count, monetization model and revenue signals calibrated against founder-verified MRR anchors. See the BU Score formula.