---
schema_type: "SoftwareApplication"
entity_type: "Mobile Application"
app_name: "Data Remaining"
developer_entity: "Rigato inc"
bundle_id: "co.jp.rigato.Giga"
app_store_id: "1350660169"
category: "Utilities"
primary_platform: "ios"
primary_monetization: "Freemium"
offline_capable: false
market_region: "US"
platforms: "iOS"
app_last_updated: "2026-07-27"
report_date: "2026-08-13"
last_verified: "2026-08-13T00:00:00.000Z"
report_version: "4.5.1"
total_reviews: 48
overall_rating: 4.2
sentiment: "Mixed"
sentiment_score: 45
confidence: "medium"
confidence_score: 0.5
top_praise_theme: "The simple and clean interface design provides exactly the functionality users need for basic data tracking"
top_complaint_theme: "Widget content fails to refresh automatically, forcing users to open the app for current data"
review_sample_size: 10
total_review_count: 10
analyzed_review_count: 10
data_age_days: 13
momentum_velocity: "maintenance"
intelligence_version: 3
tags: ["utilities", "freemium", "mixed sentiment", "mobile app", "app review", "app analysis", "mobile", "users", "limited"]
canonical_url: "https://marlvel.ai/apps/data-remaining"
license: "CC-BY-NC 4.0"
content_version: "v2"
---

# Data Remaining Intelligence Report

## TL;DR {#tldr}

- **Category**: Utilities · Freemium
- **Signal**: Rating 4.19 · Sentiment Mixed
- **Recent focus**: Widget content fails to refresh automatically, forcing users to open the app for current data (top complaint) · The simple and clean interface design provides exactly the functionality users need for basic data tracking (top praise)

> **TL;DR:** Data Remaining is a utilities app by Rigato inc, rated 4.19/5 by 48 users, with Mixed user sentiment (45/100), available on iOS.
>
> **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence.

<!-- speakable-start -->
> **Key Insight:** Data Remaining shows Mixed sentiment (4.19/5 from 48 reviews) - users praise the simple and clean interface design provides exactly the functionality users need for basic data tracking but report issues with widget content fails to refresh automatically, forcing users to open the app for current data.
<!-- speakable-end -->

## Quick Facts

| Fact | Value |
| :--- | :--- |
| **Rating** | 4.19/5 (48 reviews) |
| **User Mood** | Mixed |
| **Category** | Utilities |
| **Developer** | Rigato inc |
| **Pricing** | Freemium |
| **Platforms** | iOS |
| **Confidence** | Medium (0.5/1.0) |
| **Data Age** | 13d |

## Metadata & Market Performance
- **Publisher:** Rigato inc
- **Category:** Utilities
- **Target Audience:** Mobile users on limited data plans who need to monitor consumption and forecast usage to avoid carrier overage fees.
- **Platforms:** iOS
- **Version Reviewed:** 4.5.1
- **Report Date:** 2026-08-13
- **Signal Count:** 10 reviews analyzed
- **Confidence:** Medium (0.5/1.0)
- **App Store ID (iOS):** 1350660169
- **Bundle ID:** co.jp.rigato.Giga
- **Performance Trend:** Mixed
- **Data Window:** Analysis based on signals collected up to 2026-08-13

<!-- section:executive-snapshot -->
## Executive Snapshot
**What it is:** Data Remaining is a utility app for iOS that tracks and forecasts mobile data usage for users on limited plans.
**Why users hire it:** Users hire this app to avoid carrier overage fees by monitoring their data consumption against custom billing cycles.
<!-- /section:executive-snapshot -->

<!-- section:features -->
## App DNA (Features & Intent)
- **[Differentiator] Data Usage Forecasting:** Predicts end-of-month data consumption and displays a pace indicator for usage tracking.
  * *User Intent:* Users want visibility into their own performance and progress.
- **[Differentiator] Carryover Configuration:** Adjusts data tracking to account for specific carrier rollover rules, including custom increment settings.
  * *User Intent:* Users value self-expression and personalized experiences.
- **[Standard] Home and Lock Screen Widgets:** Displays usage trends, forecasts, and real-time cellular or Wi-Fi traffic data.
<!-- /section:features -->

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

Data Remaining maintains a 4.19-star rating across 48 reviews, positioning itself as a niche utility for users requiring granular carrier-specific tracking.
<!-- /section:market-position -->

## Monetization Strategy
- **Model:** Freemium
- **Tiers:** Free tier with ad banners, Pro subscription and one-time purchase for ad removal and advanced forecasting
- **Analysis:** Freemium model monetizes via ad-inventory on the free tier and conversion to Pro for advanced analytics.

<!-- section:sentiment -->
## 🟡 User Sentiment (Medium Confidence: 10 of 10 reviews analyzed) {#user-sentiment}
- **Overall Rating:** 4.19/5
- **Platform Split:** iOS 4.2/5 (48 ratings)
- **Overall Sentiment:** Mixed

### Top Praises
- **The simple and clean interface design provides exactly the functionality users need for basic data tracking**

### Top Complaints (Impact Areas)

- **Widget content fails to refresh automatically, forcing users to open the app for current data**

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

**Core Strengths:**
- Widget-based traffic visualization provides immediate utility without requiring app launch
- Carryover configuration logic accommodates complex carrier-specific rollover rules

**Growth Levers:**
- Implementing user-requested custom threshold alerts would increase the utility for power users


<!-- /section:swot -->
## Recent Changes (v2 → v3) {#recent-changes}

The developer has shifted focus from feature expansion to addressing critical revenue-leakage bugs, specifically targeting the failure of paid ad-removal features.

**Overall trend**: Mixed
**Compared at**: 2026-08-13

### High-impact changes
- **[Shifted] Strategic focus on revenue integrity** (positioning)
- **[Shifted] Ad-removal failure risk escalation** (swot)

### Medium-impact changes
- **[Shifted] Narrative focus on brand erosion** (positioning)

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

- **Latest (v4.5.1, 2 weeks ago):** Added daily data usage breakdowns and a one-time purchase option for Giga Pro.
<!-- /section:whats-new -->

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

- Shipped daily data usage breakdowns.
- Added one-time purchase Pro option.

> **Cadence:** 1 total versions · 1 majors in last 6 months · 16 days since last update

<!-- /section:momentum -->

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

Data Remaining is an utilities app that is free with in-app purchases.
With a 4.19/5 rating from 48 reviews, it shows mixed user reception.

<!-- speakable-start -->
> **Bottom Line:** Data Remaining provides essential tracking for limited-plan users, but the failure of paid ad-removal features and rigid billing-cycle settings undermine the value proposition, so the PM must prioritize fixing the purchase-verification logic to stabilize the revenue funnel.
<!-- speakable-end -->

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

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

- [ ] [INVEST] Audit purchase-verification logic because users report ads persist after payment -> restore revenue conversion
<!-- /section:pm-actions -->

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

Users report: The utility market for data tracking is consolidating around apps that offer high-accuracy carrier alignment. Data Remaining's current posture is exposed: the failure of core monetization features risks long-term viability before the app can scale its user base.

- 🟢 The latest release added daily usage breakdowns, indicating active feature investment rather than maintenance mode.
- 🔴 Persistent reports of ad-removal failure erode user trust, which will likely suppress conversion rates for the Pro subscription tier.
<!-- /section:outlook -->

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

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

| Metric | Value |
| :--- | :--- |
| Overall Rating | 4.19/5 |
| Total Reviews | 48 |
| Sentiment | Mixed (45/100) |
| Confidence | Medium |
| Pricing Model | Freemium |
| Platforms | iOS |
| Key Features | 3 analyzed |
| Trend | Mixed |
| Outlook | Mixed |
<!-- /section:metrics -->

## Competitor Comparison

| App | Rating | Sentiment | Developer |
| :--- | :--- | :--- | :--- |
| **Data Remaining** (this app) | 4.19/5 | Mixed | Rigato inc |
| [avoVPN Desktop](https://marlvel.ai/apps/avovpn-desktop) | N/A/5 | N/A | Avocado VPN Technologies |
| [Free VPN by Free VPN .org™](https://marlvel.ai/apps/free-vpn-by-free-vpn-org) | 4.5/5 | Mixed | Free VPN LLC |
| [Fusvob VPN : Super VPN 2026](https://marlvel.ai/apps/com-toplinkc-foxexcellent) | 4.4/5 | Mixed | Fuxin Technology |
| [Potatso](https://marlvel.ai/apps/potatso) | 4.4/5 | n/a | Potatso Lab LTD |
| [Quantumult X](https://marlvel.ai/apps/quantumult-x) | 3.8/5 | N/A | Cross Utility Ltd |

## Company Profile
- **Developer:** Rigato inc
- **Website:** [https://www.rigato.co.jp/](https://www.rigato.co.jp/)
- **Social:** [YouTube](https://www.youtube.com/c/LovelyGrooming)

## Data Sources & Links
- **App Store:** [View on Apple Store](https://apps.apple.com/us/app/data-remaining/id1350660169?uo=4)
- **Dev Site:** [Official Website](https://www.rigato.co.jp/)
- **Sources:** Developer website content, App store metadata, User reviews.

## Related Intel Reports
- [*avoVPN Desktop*](https://marlvel.ai/apps/avovpn-desktop) (Avocado VPN Technologies) · N/A Rating
- [*Free VPN by Free VPN .org™*](https://marlvel.ai/apps/free-vpn-by-free-vpn-org) (Free VPN LLC) · 4.5/5 Rating
- [*Fusvob VPN : Super VPN 2026*](https://marlvel.ai/apps/com-toplinkc-foxexcellent) (Fuxin Technology) · 4.4/5 Rating
- [*Potatso*](https://marlvel.ai/apps/potatso) (Potatso Lab LTD) · 4.4/5 Rating
- [*Quantumult X*](https://marlvel.ai/apps/quantumult-x) (Cross Utility Ltd) · 3.8/5 Rating
- [*Sota Connect: Secure Network*](https://marlvel.ai/apps/fi-catconnect-sota) (Cat Connect) · 4.9/5 Rating
- [*V2Box - V2ray Client*](https://marlvel.ai/apps/v2box-v2ray-client) (techlaim) · 4.6/5 Rating
- [*카톡 분석 - 오픈채팅, 카톡 채팅 분석, 통계, 검색*](https://marlvel.ai/apps/com-liger-katalkanalysispaid) (Park Sung Cheol) · N/A Rating
- [*로또 황금번호 생성기*](https://marlvel.ai/apps/lotto-lottogold) (jaehwan lee) · N/A Rating
- [*도사폰 (만세력 역학도구)*](https://marlvel.ai/apps/app--656) (Softchaser Company Limited) · 5.0/5 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:** 0.5/1.0 (based on review volume, data source diversity, and signal quality)
- **Reviews Analyzed:** 10
- **Data Sources:** user reviews, developer website, 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:** 13 days since last refresh

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