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Blidz - Shop Deals, Save Money icon

How much does Blidz - Shop Deals, Save Money earn?

iOS app from Biddl Inc. · Shopping

ML forecast ★ 4.4 · 48K → Stable Free

~1.7K/mo

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

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

At a glance

Blidz - Shop Deals, Save Money's revenue trajectory

Forecast revenue from snapshot history. Last 4 months.

Where Blidz - Shop Deals, Save Money sits in Shopping

Revenue distribution of 1956 comparable apps. Blidz - Shop Deals, Save Money highlighted.

Blidz - Shop Deals, Save Money vs comparable apps

Revenue trajectory side-by-side. Bold = Blidz - Shop Deals, Save Money, ghosted = peers.

App spec

Version
6.8.31
Last update
May 12, 2026
Launched
Oct 15, 2015
Min OS
15.0
Rating
17+
Price
Free
Monetization
Free
Languages
EN, VI

What Blidz - Shop Deals, Save Money actually does (from App Store listing)

Blidz – Social Shopping Super App for Daily Deals, Group Discounts & Big Savings Looking for amazing deals online? Blidz is a social shopping app where you can discover trending products, unlock huge discounts, and shop smarter together with friends. Browse millions of products across electronics, fashion, home goods and more — all at prices that are often far lower than traditional online stores. WHY PRICES ON BLIDZ ARE SO LOW Blidz works differently from typical online shops. Instead of s…
Read full description →

🆕 What's new · v6.8.31

- Bug fixes and improvements

Comparable iOS apps

The five apps in Shopping with the closest revenue to Blidz - Shop Deals, Save Money. Click any to see its detail page.

AppRevenueRatingRatings
Rainbow Shops icon Rainbow Shops 1.7K ★ 4.9 41K
Ocado - Online Grocery icon Ocado - Online Grocery 1.7K ★ 4.8 210
PreLoved AI - Sell Faster! icon PreLoved AI - Sell Faster! 1.7K ★ 3.0 18
Bass Pro Shops icon Bass Pro Shops 1.7K ★ 4.9 42K
Meme Maker icon Meme Maker 1.7K ★ 2.1 13
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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 Blidz - Shop Deals, Save Money's tracker page for current rating, reviews and snapshot timeline.

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