--- 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: "Paid" offline_capable: false market_region: "US" platforms: "iOS & Android" app_last_updated: "2025-02-19" report_date: "2026-06-12" last_verified: "2026-06-12T00:40:46.122Z" report_version: "6.4" total_reviews: 308146 overall_rating: 4.52 sentiment: "Mixed" sentiment_score: 55 confidence: "high" confidence_score: 0.75 top_praise_theme: "Accurate cellular and wifi data tracking provides users with reliable monthly usage insights" top_complaint_theme: "Inaccurate data reporting causes significant discrepancies between app metrics and carrier usage logs" top_request_theme: "Visual graph displays are requested to better visualize data consumption trends over time" review_sample_size: 814 total_review_count: 814 analyzed_review_count: 120 data_age_days: 4 momentum_velocity: "zombie" intelligence_version: 9 competitor_count: 1 tags: ["utilities", "paid", "mixed sentiment", "mobile app", "app review", "app analysis", "mobile", "users", "limited"] canonical_url: "https://marlvel.ai/intel-report/utilities/data-usage" license: "CC-BY-NC 4.0" content_version: "v2" --- # Data Usage App Audit ## TL;DR {#tldr} - **Category**: Utilities · Paid - **Signal**: Rating 4.52 · Sentiment Mixed - **Recent focus**: Inaccurate data reporting causes significant discrepancies between app metrics and carrier usage logs (top complaint) · Accurate cellular and wifi data tracking provides users with reliable monthly usage insights (top praise) · Visual graph displays are requested to better visualize data consumption trends over time (top request) > **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. > **Key Insight:** Data Usage shows Mixed sentiment (4.52/5 from 308.1K reviews) — users praise accurate cellular and wifi data tracking provides users with reliable monthly usage insights but report issues with inaccurate data reporting causes significant discrepancies between app metrics and carrier usage logs. ## Quick Facts | Fact | Value | | :--- | :--- | | **Rating** | 4.52/5 (308.1K reviews) | | **User Mood** | Mixed | | **Category** | Utilities | | **Developer** | oBytes, LLC | | **Pricing** | Paid | | **Platforms** | iOS & Android | | **Confidence** | High (0.75/1.0) | | **Data Age** | 0d | ## Metadata & Market Performance - **Publisher:** oBytes, LLC - **Category:** Utilities - **Target Audience:** Mobile users on limited data plans or those seeking to avoid carrier overage fees through granular monitoring. - **Platforms:** iOS & Android - **Version Audited:** 6.4 - **Audit Date:** 2026-06-12 - **Signal Count:** 814 reviews analyzed - **Confidence:** High (0.75/1.0) - **App Store ID (iOS):** 386950560 - **Bundle ID:** com.sigterm.iDataUsage - **Google Play ID:** com.mobidia.android.mdm - **Performance Trend:** Declining - **Data Window:** Analysis based on signals collected up to 2026-06-12 ## Executive Snapshot **What it is:** Data Usage is a mobile utility app for iOS and Android that monitors data consumption and provides predictive forecasting for users on limited plans. **Why users hire it:** Users hire this app to avoid carrier overage fees through granular monitoring, serving the job of financial control over monthly mobile expenses. ## 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 projected data consumption to set daily quotas and prevent overage charges * *User Intent:* Users are motivated by consistent progression and daily incentives. ## Market Position {#market-position} Data Usage holds top 10 paid utility rankings in Canada, the U.K., and Spain, signaling strong regional demand for granular data monitoring. However, the lack of a free-tier entry point limits its competitive reach against ad-supported utilities. ## Monetization Strategy - **Model:** Paid - **Tiers:** Standard version at $0.99, Data Usage Pro available for custom usage counters - **Price:** iOS: $0.99 - **Analysis:** Paid model anchored at $0.99, utilizing a direct purchase strategy to monetize utility-focused users. ## 🟡 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 tracking provides users with reliable monthly usage insights** ### Top Complaints (Impact Areas) - **Inaccurate data reporting causes significant discrepancies between app metrics and carrier usage logs** ### Top Requests (What Users Want) - **Visual graph displays are requested to better visualize data consumption trends over time** ## SWOT Analysis {#swot} **Core Strengths:** - Predictive forecasting mechanism functions as a financial utility, increasing switching costs for users on limited data plans - App badge monitoring creates a retention loop by providing immediate status visibility without requiring app entry **Critical Frictions:** - Inaccurate reporting compared to carrier logs causes high-frequency churn - Deceptive data collection practices persist despite user opt-outs - Broken shared data plan features render the app ineffective for family accounts **Growth Levers:** - Multi-country roaming support could aggregate data usage for international travelers - Visual graph displays would better visualize consumption trends over time **Market Threats:** - SKIMMER's offline mode and invoice generation capabilities extend utility beyond simple monitoring - Carrier-provided data management tools reduce the need for third-party utilities ## Recent Changes (v8 → v9) {#recent-changes} The app transitioned to a paid-upfront pricing model and identified critical functional regressions in shared data plan management. **Overall trend**: Declining **Compared at**: 2026-06-12 ### High-impact changes - **[Shifted] Pricing Model Transition** (pricing) — Model shifted from freemium (Free/Android, $0.99/iOS) to a paid-upfront model at $0.99. - **[Added] Shared Plan Regression** (swot) — Added broken shared data plan features as a primary weakness, impacting family and multi-device account utility. ### Medium-impact changes - **[Added] Visual Data Requests** (swot) — Added visual graph displays as a top user request and a new opportunity for development. - **[Added] Roaming Opportunity** (swot) — Added multi-country roaming support as a new opportunity to aggregate international data usage. ## What's New - **Latest (v6.4, 8 years ago):** Added support for iPhone X. ## App Momentum (Zombie) {#momentum} - Added iPhone X support in latest release. - Quiet 4 months — bug fixes only. > **Cadence:** 2 total versions · 0 majors in last 6 months · 447 days since last update · 2617 days avg between updates ## The "So What?" (Strategic Takeaway) {#so-what} Data Usage is an established utilities app that is a paid app. With a 4.52/5 rating from 308.1K reviews, it shows polarized user reception. > **Bottom Line:** Data Usage holds its utility niche through predictive forecasting, but inaccurate tracking and data collection complaints erode trust, so the PM must prioritize tracking accuracy to prevent further churn. **Best for:** Mobile users on limited data plans or those seeking to avoid carrier overage fees through granular monitoring. ### PM Action Plan (Next Best Moves) - [ ] [INVEST] [HIGH IMPACT] Audit tracking logic because inaccurate reporting is the top complaint theme → reduce churn — *Inaccurate data reporting causes significant discrepancies between app metrics and carrier usage logs.* _(trade-off: deprioritize Pause the visual graph feature request — accuracy is the primary driver of negative sentiment.)_ - [ ] [PIVOT] [MEDIUM IMPACT] Fix shared data plan configuration because it is a recurring functional regression → restore multi-device utility — *Users report the app freezes or fails to offer shared plan options after recent updates.* _(trade-off: deprioritize Deprioritize new UI theme updates — functional stability is critical for retention.)_ ### Feature Gaps vs Competitors - Offline mode (available in SKIMMER but missing here) - Automated service email triggers (available in SKIMMER but missing here) ### Outlook: Declining The utility market is shifting toward integrated carrier solutions, leaving third-party apps like Data Usage exposed if they cannot maintain superior accuracy. The current decline in sentiment suggests that without a fix for tracking discrepancies, the app will lose its position to more reliable, albeit simpler, alternatives. - 🔴 Inaccurate reporting compared to carrier logs erodes user trust, which directly correlates to the recent spike in negative feedback. - 🔴 Functional regressions in shared plan management prevent multi-device usage, which limits the app's utility for family and power users. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 4.52/5 | | Total Reviews | 308.1K | | Sentiment | Mixed (55/100) | | Confidence | High | | Pricing Model | Paid | | Platforms | iOS & Android | | Key Features | 2 analyzed | | Trend | Declining | | Outlook | Declining | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Data Usage** (this app) | 4.52/5 | Mixed | oBytes, LLC | | [SKIMMER](https://marlvel.ai/intel-report/productivity/skimmer) | 4.4/5 | Upset | Taizhou Dibiao Technology Co., Ltd. | | [Free VPN by Free VPN .org™](https://marlvel.ai/intel-report/utilities/free-vpn-by-free-vpn-org) | 4.4/5 | Mixed | Free VPN LLC | | [Quantumult X](https://marlvel.ai/intel-report/utilities/quantumult-x) | 3.8/5 | N/A | Cross Utility Ltd | | [Potatso](https://marlvel.ai/intel-report/utilities/potatso) | 4.4/5 | Excited | Potatso Lab LTD | | [V2Box - V2ray Client](https://marlvel.ai/intel-report/utilities/v2box-v2ray-client) | 4.6/5 | Excited | techlaim | ## 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:** About us / company information, App store metadata, User reviews. ## Related Intel Reports - [*SKIMMER*](https://marlvel.ai/intel-report/productivity/skimmer) (Taizhou Dibiao Technology Co., Ltd.) — 4.4/5 Rating | Terrible Sentiment - [*Free VPN by Free VPN .org™*](https://marlvel.ai/intel-report/utilities/free-vpn-by-free-vpn-org) (Free VPN LLC) — 4.4/5 Rating | Mixed Sentiment - [*Quantumult X*](https://marlvel.ai/intel-report/utilities/quantumult-x) (Cross Utility Ltd) — 3.8/5 Rating | N/A Sentiment - [*Potatso*](https://marlvel.ai/intel-report/utilities/potatso) (Potatso Lab LTD) — 4.4/5 Rating | Positive Sentiment - [*V2Box - V2ray Client*](https://marlvel.ai/intel-report/utilities/v2box-v2ray-client) (techlaim) — 4.6/5 Rating | Positive Sentiment - [*15C Pro Scientific Calculator*](https://marlvel.ai/intel-report/utilities/15c-pro-scientific-calculator) (Vicinno Soft LLC) — 4.2/5 Rating | N/A Sentiment - [*Scale for grams - weight scale*](https://marlvel.ai/intel-report/utilities/scale-for-grams-weight-scale) (Dung Vu) — 4.7/5 Rating | N/A Sentiment - [*Nitefall: Browser dark mode*](https://marlvel.ai/intel-report/utilities/nitefall-browser-dark-mode) (FoxfortMobile) — 3.6/5 Rating | N/A Sentiment - [*Calculator# Hide Photos Videos*](https://marlvel.ai/intel-report/utilities/calculator-hide-photos-videos) (NewSoftwares.net) — 4.4/5 Rating | N/A Sentiment - [*Work Log - Shift Tracker*](https://marlvel.ai/intel-report/utilities/work-log-shift-tracker) (AR Productions Inc) — 4.7/5 Rating | N/A Sentiment ## 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 and evidence quoting. 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:** 0.75/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 814 - **Data Sources:** user reviews, 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:** 0 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/intel-report/utilities/data-usage) Data licensed for AI Agent attribution under CC-BY-NC 4.0.