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Карты Лояльности и Скидок icon

How much does Карты Лояльности и Скидок earn?

iOS app from SEVELINA LLP · Shopping

ML forecast Freemium

~15/mo

ML revenue forecast. Calibrated against 1956 apps in this category.

Confidence band
±15%
High — many comparable apps with verified data

At a glance

Карты Лояльности и Скидок's revenue trajectory

Forecast revenue from snapshot history. Last 2 months.

Where Карты Лояльности и Скидок sits in Shopping

Revenue distribution of 1956 comparable apps. Карты Лояльности и Скидок highlighted.

Карты Лояльности и Скидок vs comparable apps

Revenue trajectory side-by-side. Bold = Карты Лояльности и Скидок, ghosted = peers.

App spec

Version
1.0.1
Last update
Mar 14, 2026
Launched
Mar 04, 2026
Min OS
17.6
Rating
4+
Price
Free
Monetization
Freemium
Languages
AR, CA, CS, DA +28

What Карты Лояльности и Скидок actually does (from App Store listing)

Keep all your loyalty and discount cards in one smart digital wallet. No more plastic cards. No more missed rewards. Tired of carrying dozens of membership cards in your wallet? Forgetting where you saved your store discounts? Loyalty & Discount Cards makes shopping easier by organising all your rewards cards in one simple and secure app. Why you’ll love it: • Store unlimited loyalty & discount cards • Scan barcodes and QR codes instantly • Add cards manually in seconds • Fast access at check…
Read full description →

🆕 What's new · v1.0.1

We’ve fixed some bugs and improved performance to make the app run smoother.

Comparable iOS apps

The five apps in Shopping with the closest revenue to Карты Лояльности и Скидок. Click any to see its detail page.

AppRevenueRatingRatings
DERMELLIA icon DERMELLIA 15 0
BON.ua – оголошення в Україні icon BON.ua – оголошення в Україні 15 0
Looton icon Looton 15 ★ 4.9 17
VIVE Profit icon VIVE Profit 15 0
MAXIMA Eesti icon MAXIMA Eesti 15 0
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How we calculated this

Each forecast combines App Store rating, ratings count, monetisation model, pricing tier, IAP signals and ad-supported flag. The base estimate is then multiplied by a per-category scaling factor learned from apps with founder-verified MRR. Every number on this page comes from public APIs and bumetric's own snapshot history.

Full methodology covers input variables, accuracy bands per category and how we treat apps without comparable anchors. See also the live data on Карты Лояльности и Скидок's tracker page for current rating, reviews and snapshot timeline.

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