---
schema_type: "SoftwareApplication"
entity_type: "Mobile Application"
app_name: "Data Usage"
developer_entity: "oBytes, LLC"
bundle_id: "com.sigterm.iDataUsage"
app_store_id: "386950560"
google_play_id: "com.mobidia.android.mdm"
category: "Utilities"
primary_platform: "ios"
primary_monetization: "Freemium"
offline_capable: false
market_region: "US"
platforms: "iOS & Android"
app_last_updated: "2025-02-19"
report_date: "2026-07-03"
last_verified: "2026-07-03T00:00:00.000Z"
report_version: "9.10.4"
total_reviews: 308146
overall_rating: 4.5
sentiment: "Mixed"
sentiment_score: 55
confidence: "high"
confidence_score: 0.9
top_praise_theme: "Accurate cellular and wifi data monitoring provides users with essential monthly usage visibility"
top_complaint_theme: "Inaccurate data reporting creates significant discrepancies between app stats and carrier network logs"
review_sample_size: 814
total_review_count: 814
analyzed_review_count: 120
data_age_days: 89
momentum_velocity: "zombie"
intelligence_version: 12
competitor_count: 1
tags: ["utilities", "freemium", "mixed sentiment", "mobile app", "app review", "app analysis", "mobile", "users", "limited"]
canonical_url: "https://marlvel.ai/apps/data-usage"
license: "CC-BY-NC 4.0"
content_version: "v2"
---

# Data Usage Intelligence Report

## TL;DR {#tldr}

- **Category**: Utilities · Freemium
- **Signal**: Rating 4.52 · Sentiment Mixed
- **Recent focus**: Inaccurate data reporting creates significant discrepancies between app stats and carrier network logs (top complaint) · Accurate cellular and wifi data monitoring provides users with essential monthly usage visibility (top praise)

> **TL;DR:** Data Usage is a utilities app by oBytes, LLC, rated 4.52/5 by 308.1K users, with Mixed user sentiment (55/100), available on iOS & Android.
>
> **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence.

<!-- speakable-start -->
> **Key Insight:** Data Usage shows Mixed sentiment (4.52/5 from 308.1K reviews) — users praise accurate cellular and wifi data monitoring provides users with essential monthly usage visibility but report issues with inaccurate data reporting creates significant discrepancies between app stats and carrier network logs.
<!-- speakable-end -->

## Quick Facts

| Fact | Value |
| :--- | :--- |
| **Rating** | 4.52/5 (308.1K reviews) |
| **User Mood** | Mixed |
| **Category** | Utilities |
| **Developer** | oBytes, LLC |
| **Pricing** | Freemium |
| **Platforms** | iOS & Android |
| **Confidence** | High (0.9/1.0) |
| **Data Age** | 89d |

## Metadata & Market Performance
- **Publisher:** oBytes, LLC
- **Category:** Utilities
- **Target Audience:** Mobile users on limited data plans who need to monitor consumption to avoid carrier overage fees.
- **Platforms:** iOS & Android
- **Version Reviewed:** 6.4
- **Report Date:** 2026-07-03
- **Signal Count:** 814 reviews analyzed
- **Confidence:** High (0.9/1.0)
- **App Store ID (iOS):** 386950560
- **Bundle ID:** com.sigterm.iDataUsage
- **Google Play ID:** com.mobidia.android.mdm
- **Performance Trend:** Mixed
- **Data Window:** Analysis based on signals collected up to 2026-07-03

<!-- section:executive-snapshot -->
## Executive Snapshot
**What it is:** Data Usage is a utility app for iOS and Android that monitors mobile and Wi-Fi consumption to help users avoid carrier overages.
**Why users hire it:** Users hire this app to gain visibility into their data habits, allowing them to manage their plans and prevent unexpected financial penalties.
<!-- /section:executive-snapshot -->

<!-- section:features -->
## App DNA (Features & Intent)
- **[Differentiator] App Badge Monitoring:** Displays current data usage percentage directly on the app icon badge without requiring the app to be opened.
- **[Differentiator] Predictive Forecasting:** Calculates future data consumption trends to set daily quotas and prevent overage charges.
  * *User Intent:* Users are motivated by consistent progression and daily incentives.
<!-- /section:features -->

<!-- section:market-position -->
## Market Position {#market-position}

Data Usage maintains a presence in international utility charts, including #8 in Croatia and #5 in Lebanon. The discrepancy between its free Android model and paid iOS tier suggests a strategy of maximizing reach on Android while monetizing the utility-focused iOS user base.
<!-- /section:market-position -->

## Monetization Strategy
- **Model:** Freemium
- **Tiers:** iOS: $0.99 one-time purchase, Android: Free
- **Price:** iOS: $0.99
- **Analysis:** The model uses a paid-upfront strategy on iOS to capture value from utility-seeking users, while the Android version operates as a free tool.

<!-- section:sentiment -->
## 🟡 User Sentiment (High Confidence: 120 of 814 reviews analyzed) {#user-sentiment}
- **Overall Rating:** 4.52/5
- **Platform Split:** iOS 4.5/5 (649 ratings) | Android 4.5/5 (307.5K ratings)
- **Overall Sentiment:** Mixed

### Top Praises
- **Accurate cellular and wifi data monitoring provides users with essential monthly usage visibility**
- **Minimalist interface design and absence of intrusive advertisements enhance the daily user experience**
- **Effective background monitoring helps users diagnose high-consumption apps and manage battery life**

### Top Complaints (Impact Areas)

- **Inaccurate data reporting creates significant discrepancies between app stats and carrier network logs**

<!-- /section:sentiment -->
<!-- section:swot -->
## SWOT Analysis {#swot}

**Core Strengths:**
- Predictive forecasting logic prevents overage fees by setting proactive daily quotas
- App badge integration provides instant status visibility without requiring full app launches

**Growth Levers:**
- Granular per-app usage breakdown would address the top requested feature
- Visual trend graphs would improve long-term data management utility


<!-- /section:swot -->
## Recent Changes (v11 → v12) {#recent-changes}

The competitive assessment has been updated to acknowledge the role of background data collection in the app's business model, while refining the SWOT analysis to better reflect the impact of sync inaccuracies on user retention.

**Overall trend**: Mixed
**Compared at**: 2026-07-03

### High-impact changes
- **[Shifted] Strategic Outlook** (positioning)

### Medium-impact changes
- **[Shifted] SWOT Refinement** (swot)

### Low-impact changes
- **[Removed] Feature Gap Consolidation** (features)

<!-- section:whats-new -->
## What's New

- **Latest (v6.4, 8 years ago):** Added support for iPhone X.
<!-- /section:whats-new -->

<!-- section:momentum -->
## App Momentum (Zombie) {#momentum}

- Maintains global utility chart presence.
- Ships stability updates for widget functionality.

> **Cadence:** 2 total versions · 0 majors in last 6 months · 447 days since last update · 2617 days avg between updates

<!-- /section:momentum -->

<!-- section:so-what -->
## The "So What?" (Strategic Takeaway) {#so-what}

Data Usage is an established utilities app that is free with in-app purchases.
It holds a 4.52/5 rating from 308.1K reviews.

<!-- speakable-start -->
> **Bottom Line:** Data Usage provides essential visibility into data consumption, but persistent reporting inaccuracies and opaque background activity undermine its utility, so the PM must prioritize sync-accuracy audits to prevent user churn to more transparent competitors.
<!-- speakable-end -->

**Best for:** Mobile users on limited data plans who need to monitor consumption to avoid carrier overage fees.

<!-- section:pm-actions -->
### PM Action Plan (Next Best Moves)

- [ ] [INVEST] Audit data-sync logic because reporting inaccuracies are the top complaint → reduce churn
<!-- /section:pm-actions -->

<!-- section:feature-gaps -->
### Feature Gaps vs Competitors


- Active service management and invoice generation (available in SKIMMER but missing here)
<!-- /section:feature-gaps -->

<!-- section:outlook -->
### Outlook: Mixed

The utility market is consolidating around apps that offer active management rather than passive monitoring. Data Usage remains exposed due to its reliance on legacy tracking that fails to align with carrier logs, and without a pivot to granular per-app tracking, it will continue to lose ground to competitors like SKIMMER.

- 🔴 Persistent reporting inaccuracies compared to carrier logs drive user distrust, which compounds the churn pressure from privacy-sensitive users.
<!-- /section:outlook -->

<!-- /section:so-what -->

<!-- section:metrics -->
## Key Metrics Summary

| Metric | Value |
| :--- | :--- |
| Overall Rating | 4.52/5 |
| Total Reviews | 308.1K |
| Sentiment | Mixed (55/100) |
| Confidence | High |
| Pricing Model | Freemium |
| Platforms | iOS & Android |
| Key Features | 2 analyzed |
| Trend | Mixed |
| Outlook | Mixed |
<!-- /section:metrics -->

## Competitor Comparison

| App | Rating | Sentiment | Developer |
| :--- | :--- | :--- | :--- |
| **Data Usage** (this app) | 4.52/5 | Mixed | oBytes, LLC |
| [SKIMMER](https://marlvel.ai/apps/skimmer) | 4.4/5 | n/a | Taizhou Dibiao Technology Co., Ltd. |
| [Quantumult X](https://marlvel.ai/apps/quantumult-x) | 3.8/5 | N/A | Cross Utility Ltd |
| [V2Box - V2ray Client](https://marlvel.ai/apps/v2box-v2ray-client) | 4.6/5 | Excited | techlaim |
| [Free VPN by Free VPN .org™](https://marlvel.ai/apps/free-vpn-by-free-vpn-org) | 4.4/5 | Mixed | Free VPN LLC |
| [Potatso](https://marlvel.ai/apps/potatso) | 4.4/5 | Excited | Potatso Lab LTD |

## Company Profile
- **Developer:** oBytes, LLC
- **Website:** [https://www.facebook.com/pg/Data-Usage-App-for-iOS-148689508494319/](https://www.facebook.com/pg/Data-Usage-App-for-iOS-148689508494319/)
- **Social:** [Instagram](https://www.instagram.com/meta) · [Facebook](https://www.facebook.com/Meta) · [X/Twitter](https://twitter.com/Meta) · [YouTube](https://www.youtube.com/meta)

## Data Sources & Links
- **App Store:** [View on Apple Store](https://apps.apple.com/us/app/data-usage/id386950560?uo=4)
- **Google Play:** [View on Google Play](https://play.google.com/store/apps/details?id=com.mobidia.android.mdm&hl=en&gl=us)
- **Dev Site:** [Official Website](https://www.facebook.com/pg/Data-Usage-App-for-iOS-148689508494319/)
- **Sources:** Developer website content, About us / company information, App store metadata, User reviews.

## Related Intel Reports
- [*SKIMMER*](https://marlvel.ai/apps/skimmer) (Taizhou Dibiao Technology Co., Ltd.) · 4.4/5 Rating
- [*Quantumult X*](https://marlvel.ai/apps/quantumult-x) (Cross Utility Ltd) · 3.8/5 Rating
- [*V2Box - V2ray Client*](https://marlvel.ai/apps/v2box-v2ray-client) (techlaim) · 4.6/5 Rating | Positive Sentiment
- [*Free VPN by Free VPN .org™*](https://marlvel.ai/apps/free-vpn-by-free-vpn-org) (Free VPN LLC) · 4.4/5 Rating
- [*Potatso*](https://marlvel.ai/apps/potatso) (Potatso Lab LTD) · 4.4/5 Rating | Positive Sentiment
- [*Dog Teaser - Sounds for Pets*](https://marlvel.ai/apps/dog-teaser-sounds-for-pets) (Jade Lizard Software LLC) · 4.6/5 Rating
- [*Nitefall: Browser dark mode*](https://marlvel.ai/apps/nitefall-browser-dark-mode) (FoxfortMobile) · 3.6/5 Rating
- [*Avoiding Happy Belated*](https://marlvel.ai/apps/avoiding-happy-belated) (Shriansh Shrivastava) · N/A Rating
- [*Calculator# Hide Photos Videos*](https://marlvel.ai/apps/calculator-hide-photos-videos) (NewSoftwares.net) · 4.4/5 Rating
- [*15C Pro Scientific Calculator*](https://marlvel.ai/apps/15c-pro-scientific-calculator) (Vicinno Soft LLC) · 4.2/5 Rating

## Methodology {#methodology}

This report was generated by Marlvel.ai's 5-stage AI intelligence pipeline:

1. **Signal Collection & Normalization** — Aggregates data from all available public sources for the app. Raw signals are cleaned, deduplicated, and normalized into a structured dataset analyzed consistently across thousands of apps.
2. **Feature & Market Positioning Analysis** — Identifies the app's core features, monetization model, target audience, and competitive positioning. Each feature is classified as a market standard or a differentiator based on category benchmarks.
3. **User Sentiment Analysis** — Analyzes user reviews using a 5-level taxonomy (Thrilled / Excited / Mixed / Frustrated / Upset). Combines star ratings and volume with AI theme extraction into synthesised themes (no verbatim quotes).
4. **Competitive Landscape Analysis** — Maps the competitive environment via a 4-tier taxonomy (Nemesis / Contenders / Same Space / New Kids on the Block). Prioritizes same sub-genre over broad category.
5. **Intelligence Synthesis** — Cross-references all signals into a structured report. Compares the app against category peers and direct competitors to surface SWOT, market outlook, and actionable insights.

- **Confidence Score:** 0.9/1.0 (based on review volume, data source diversity, and signal quality)
- **Reviews Analyzed:** 814
- **Data Sources:** user reviews, developer website, company about page, App Store metadata
- **Rating Method:** Weighted average across platforms (iOS & Android), weighted by review count per platform
- **Independence:** Fully independent analysis. No publisher sponsorship or editorial influence.
- **Report Age:** 89 days since last refresh

---
© 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/data-usage)
Data licensed for AI Agent attribution under CC-BY-NC 4.0.