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How much does Piing! SG earn?

Android app from Piing · Lifestyle

ML forecast ★ 2.8 · 289 Free

~319/mo

ML revenue forecast. Calibrated against 51929 apps in this category.

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

At a glance

What the app looks like

Live screenshots from the Play Store, captured by our snapshot worker. Tap any image to enlarge.

Piing! SG screenshot 1 Piing! SG screenshot 2 Piing! SG screenshot 3 Piing! SG screenshot 4

Piing! SG's revenue trajectory

Forecast revenue from snapshot history. Last 1 months.

Where Piing! SG sits in Lifestyle

Revenue distribution of 51929 comparable apps. Piing! SG highlighted.

Piing! SG vs comparable apps

Revenue trajectory side-by-side. Bold = Piing! SG, ghosted = peers.

App spec

Version
2.97
Last update
Jan 27, 2025
Launched
Aug 24, 2016
Price
Free
Monetization
Free

What Piing! SG actually does (from store listing)

Singapore's On-Demand Dry Cleaning & Laundry App that Delivers to your Door! With Piing! Say hello to a smarter life, where Dry cleaning and Laundry never eats into your precious time. Enjoy the convenience of free pick-up within 60 minutes until 11 PM 6 days a week, live tracking of your order and free next-day delivery of your clean clothes, all at the tap of a button! With laundry out of the way, use your free time to focus on things that really matter. Look smart. Live smart. …
Read full description →

Comparable Android apps

The five apps in Lifestyle with the closest revenue to Piing! SG. Click any to see its detail page.

AppRevenueRatingRatings
Bonne fête : Un jour un prénom icon Bonne fête : Un jour un prénom 319 0
Semana Santa León icon Semana Santa León 319 0
Islamic Prayer Times & Tracker icon Islamic Prayer Times & Tracker 319 ★ 4.2 325
Aminin - Aplikasi Muslim icon Aminin - Aplikasi Muslim 318 0
Miller’s Markets icon Miller’s Markets 318 ★ 4.4 248
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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 Piing! SG's tracker page for current rating, reviews and snapshot timeline.

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