--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Mineralogy Database by e-Rocks" developer_entity: "Mark Wrigley" bundle_id: "com.perpet.io.erocks.ios" app_store_id: "1479976121" category: "Utilities" primary_platform: "ios" primary_monetization: "Freemium" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2021-03-18" report_date: "2026-06-11" last_verified: "2026-06-11T16:10:37.820Z" report_version: "1.0.4" total_reviews: 2 overall_rating: 3 sentiment: "Excited" sentiment_score: 70 confidence: "low" confidence_score: 0.55 top_praise_theme: "Detailed mineral descriptions provide educational value for both novice and experienced geology enthusiasts" top_complaint_theme: "Navigation flow breaks when returning from mineral detail pages to the main search interface" review_sample_size: 1 total_review_count: 1 analyzed_review_count: 1 data_age_days: 20 momentum_velocity: "zombie" intelligence_version: 4 competitor_count: 5 tags: ["utilities", "freemium", "excited sentiment", "mobile app", "app review", "app analysis", "mineral", "collectors,", "researchers,"] canonical_url: "https://marlvel.ai/intel-report/utilities/mineralogy-database-by-e-rocks" license: "CC-BY-NC 4.0" content_version: "v2" --- # Mineralogy Database by e-Rocks App Audit ## TL;DR {#tldr} - **Category**: Utilities Β· Freemium - **Signal**: Rating 3 Β· Sentiment Excited - **Recent focus**: Navigation flow breaks when returning from mineral detail pages to the main search interface (top complaint) Β· Detailed mineral descriptions provide educational value for both novice and experienced geology enthusiasts (top praise) > **TL;DR:** Mineralogy Database by e-Rocks is a utilities app by Mark Wrigley, rated 3/5 by 2 users, with Excited user sentiment (70/100), available on iOS. > > **Marlvel.ai App Intelligence** β€” Independent analysis. US Market. No publisher influence. > **Key Insight:** Mineralogy Database by e-Rocks maintains Excited user sentiment (3/5 from 2 reviews), with users consistently praising detailed mineral descriptions provide educational value for both novice and experienced geology enthusiasts. ## Quick Facts | Fact | Value | | :--- | :--- | | **Rating** | 3/5 (2 reviews) | | **User Mood** | Excited | | **Category** | Utilities | | **Developer** | Mark Wrigley | | **Pricing** | Freemium | | **Platforms** | iOS | | **Confidence** | Low (0.55/1.0) | | **Data Age** | 0d | ## Metadata & Market Performance - **Publisher:** Mark Wrigley - **Category:** Utilities - **Target Audience:** Mineral collectors, researchers, and dealers seeking a specialized marketplace and reference database for geological specimens. - **Platforms:** iOS - **Version Audited:** 1.0.4 - **Audit Date:** 2026-06-11 - **Signal Count:** 1 reviews analyzed - **Confidence:** Low (0.55/1.0) - **App Store ID (iOS):** 1479976121 - **Bundle ID:** com.perpet.io.erocks.ios - **Performance Trend:** Mixed - **Data Window:** Analysis based on signals collected up to 2026-06-11 ## Executive Snapshot **What it is:** Mineralogy Database by e-Rocks is a reference and marketplace utility for mineral collectors and researchers on iOS. **Why users hire it:** Users hire the app to access geological facts and manage collections, but the current navigation friction prevents the app from serving as a primary field tool. ## App DNA (Features & Intent) - **[Standard] Mineral Database:** Searchable repository of 6200 mineral species including crystallography, chemistry, and classification data * *User Intent:* Users want to quickly find relevant content or features. - **[Differentiator] Auction & Marketplace Integration:** Direct access to live mineral auctions and fixed-price sales from global sellers - **[Differentiator] Collector Portal:** Personalized online catalogue for managing collections, provenance, and storage data * *User Intent:* Users value self-expression and personalized experiences. ## Market Position {#market-position} The app maintains a niche utility position for mineral collectors, but the lack of updates since 2021 and a 3.0-star rating indicate a stagnant competitive posture. ## Monetization Strategy - **Model:** Freemium - **Tiers:** Free Registered User: access to research, buying, and bidding, Collector/Seller/Dealer: tiered memberships for exclusive features and selling tools - **Analysis:** Monetization is anchored in a tiered membership model that gates advanced selling and cataloging tools behind collector and dealer status. ## 🟒 User Sentiment (Low Confidence: 1 of 1 reviews analyzed) {#user-sentiment} - **Overall Rating:** 3/5 - **Platform Split:** iOS 3.0/5 (2 ratings) - **Overall Sentiment:** Excited ### Top Praises - **Detailed mineral descriptions provide educational value for both novice and experienced geology enthusiasts** ### Top Complaints (Impact Areas) - **Navigation flow breaks when returning from mineral detail pages to the main search interface** ## SWOT Analysis {#swot} **Core Strengths:** - Collector portal membership gate increases switching costs via user-generated collection data - Offline database access sustains utility for field researchers in remote locations **Critical Frictions:** - 3.0-star rating reflects navigation friction in the search interface - Stalled update cadence since 2021 limits competitive relevance **Growth Levers:** - AI-driven specimen identification could lower entry barriers for amateur collectors - Wearable integration for field logging would capture professional geological data workflows **Market Threats:** - AI-identification apps like Mineral Identifier AI capture the hobbyist funnel - Automated formation analysis in Geology Toolkit threatens the target's static reference utility ## Recent Changes (v3 β†’ v4) {#recent-changes} The analysis now incorporates specific user-reported navigation bugs and shifts the strategic focus toward fixing search friction to improve retention. **Overall trend**: Mixed **Compared at**: 2026-06-11 ### High-impact changes - **[Shifted] Sentiment Classification** (sentiment) β€” Overall sentiment classification shifted from mixed to positive, despite the rating remaining at 3.0. - **[Added] Navigation Complaint** (sentiment) β€” New complaint identified: navigation flow breaks when returning from mineral detail pages, causing unresponsive scrolling. ### Medium-impact changes - **[Added] Search Interface Weakness** (swot) β€” Added navigation friction in the search interface as a specific product weakness. - **[Shifted] Strategic Roadmap Adjustment** (positioning) β€” PM action items shifted from general marketplace conversion to specific search navigation repair. ## What's New - **Latest (v1.0.4, 5 years ago):** Updated minerals database. ## App Momentum (Zombie) {#momentum} - Last major update released March 2021. - Content database updated periodically. > **Cadence:** 1 total versions Β· 0 majors in last 6 months Β· 1882 days since last update ## The "So What?" (Strategic Takeaway) {#so-what} Mineralogy Database by e-Rocks is a market-leading utilities app that is free with in-app purchases. With a 3/5 rating from 2 reviews, it delivers strong user satisfaction. > **Bottom Line:** The app provides high-value reference data but fails to retain users due to navigation friction and a lack of modern identification features, so the PM should prioritize fixing the search loop before pursuing AI-driven growth. **Best for:** Mineral collectors, researchers, and dealers seeking a specialized marketplace and reference database for geological specimens. ### PM Action Plan (Next Best Moves) - [ ] [PIVOT] [HIGH IMPACT] Rebuild search navigation flow because unresponsive scrolling is the top-reported complaint β†’ restore discovery loop retention β€” *Navigation bug in search interface forces extra steps, creating friction in the discovery loop.* _(trade-off: deprioritize Pause the database content expansion sprint β€” navigation stability is a higher churn risk.)_ - [ ] [INVEST] [MEDIUM IMPACT] Audit AI-identification integration feasibility because competitors use it to lower entry barriers β†’ capture amateur hobbyist segment β€” *Competitors like Mineral Identifier AI use AI to capture the hobbyist demographic.* _(trade-off: deprioritize Delay the social sharing tools update β€” AI identification is a higher-yield acquisition lever.)_ ### Feature Gaps vs Competitors - AI-driven mineral identification (available in Mineral Identifier AI but missing here) - Automated formation analysis (available in Geology Toolkit but missing here) - Offline map caching (available in Rockd but missing here) ### Outlook: Mixed The mineralogy hobbyist market is shifting toward AI-driven identification and interactive field tools, leaving static database apps exposed. Without a refresh of the core navigation and feature set, the app will continue to lose the amateur segment to more modern, identification-focused rivals. - πŸ”΄ Stalled update cadence since 2021 leaves the app vulnerable to competitors with modern AI-identification features, eroding the long-term competitive moat. - πŸ”΄ Persistent navigation bugs in the search interface create friction for new users, which compounds the rating drag and limits organic growth. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 3/5 | | Total Reviews | 2 | | Sentiment | Excited (70/100) | | Confidence | Low | | Pricing Model | Freemium | | Platforms | iOS | | Key Features | 3 analyzed | | Trend | Mixed | | Outlook | Mixed | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Mineralogy Database by e-Rocks** (this app) | 3/5 | Excited | Mark Wrigley | | [FotoPlant Plant Identification](https://marlvel.ai/intel-report/education/fotoplant-plant-identification) | N/A/5 | N/A | Goran Ugresic | | [Rock & Mineral Identifier](https://marlvel.ai/intel-report/reference/rock-mineral-identifier) | 5.0/5 | N/A | Munure Tuzun | | [Rockd](https://marlvel.ai/intel-report/education/rockd) | 4.4/5 | Mixed | University of Wisconsin-Madison Shared Apps | | [Mineral Identifier AI](https://marlvel.ai/intel-report/education/mineral-identifier-ai) | 5.0/5 | Mixed | Inkolab | | [Geology Toolkit: Field Guide](https://marlvel.ai/intel-report/education/geology-toolkit-field-guide) | 4.6/5 | N/A | Laurence Wayne | ## Company Profile - **Developer:** Mark Wrigley - **Website:** [https://e-rocks.com](https://e-rocks.com) - **Social:** [X/Twitter](https://twitter.com/share) ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/us/app/mineralogy-database-by-e-rocks/id1479976121?uo=4) - **Dev Site:** [Official Website](https://e-rocks.com) - **Sources:** Developer website content, About us / company information, App store metadata, User reviews. ## Related Intel Reports - [*FotoPlant Plant Identification*](https://marlvel.ai/intel-report/education/fotoplant-plant-identification) (Goran Ugresic) β€” N/A Rating | N/A Sentiment - [*Rock & Mineral Identifier*](https://marlvel.ai/intel-report/reference/rock-mineral-identifier) (Munure Tuzun) β€” 5.0/5 Rating | N/A Sentiment - [*Rockd*](https://marlvel.ai/intel-report/education/rockd) (University of Wisconsin-Madison Shared Apps) β€” 4.4/5 Rating | Mixed Sentiment - [*Mineral Identifier AI*](https://marlvel.ai/intel-report/education/mineral-identifier-ai) (Inkolab) β€” 5.0/5 Rating | Mixed Sentiment - [*Geology Toolkit: Field Guide*](https://marlvel.ai/intel-report/education/geology-toolkit-field-guide) (Laurence Wayne) β€” 4.6/5 Rating | N/A Sentiment - [*Free VPN by Free VPN .orgβ„’*](https://marlvel.ai/intel-report/utilities/free-vpn-by-free-vpn-org) (Free VPN LLC) β€” 4.4/5 Rating | Mixed Sentiment - [*V2Box - V2ray Client*](https://marlvel.ai/intel-report/utilities/v2box-v2ray-client) (techlaim) β€” 4.5/5 Rating | Positive Sentiment - [*Quantumult X*](https://marlvel.ai/intel-report/utilities/quantumult-x) (Cross Utility Ltd) β€” 3.8/5 Rating | N/A Sentiment - [*Potatso*](https://marlvel.ai/intel-report/utilities/potatso) (Potatso Lab LTD) β€” 4.4/5 Rating | Positive Sentiment - [*Nitefall: Browser dark mode*](https://marlvel.ai/intel-report/utilities/nitefall-browser-dark-mode) (FoxfortMobile) β€” 3.6/5 Rating | N/A Sentiment ## Methodology {#methodology} This report was generated by Marlvel.ai's 5-stage AI intelligence pipeline: 1. **Signal Collection & Normalization** β€” 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** β€” 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** β€” 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** β€” 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** β€” 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:** 0.55/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 1 - **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:** 0 days since last refresh --- Β© 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/intel-report/utilities/mineralogy-database-by-e-rocks) Data licensed for AI Agent attribution under CC-BY-NC 4.0.