--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "White Light Oracle" developer_entity: "Oceanhouse Media" bundle_id: "com.oceanhousemedia.OCBAWhiteLight" app_store_id: "1519544410" category: "Lifestyle" primary_platform: "ios" primary_monetization: "Paid" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2026-01-31" report_date: "2026-05-19" last_verified: "2026-05-19T13:15:44.941Z" report_version: "1.0.4" total_reviews: 272 overall_rating: 4.91 confidence: "low" confidence_score: 0.25 data_age_days: 43 momentum_velocity: "steady" intelligence_version: 2 tags: ["lifestyle", "paid", "mobile app", "app review", "app analysis", "individuals", "interested", "spiritual"] canonical_url: "https://marlvel.ai/intel-report/lifestyle/com-oceanhousemedia-ocbawhitelight" license: "CC-BY-NC 4.0" content_version: "v2" --- # White Light Oracle App Audit ## TL;DR {#tldr} - **Category**: Lifestyle · Paid - **Signal**: Rating 4.91 > **TL;DR:** White Light Oracle is a lifestyle app by Oceanhouse Media, rated 4.91/5 by 272 users, available on iOS. > > **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence. > **Key Insight:** White Light Oracle is a lifestyle app by Oceanhouse Media. ## Quick Facts | Fact | Value | | :--- | :--- | | **Rating** | 4.91/5 (272 reviews) | | **Category** | Lifestyle | | **Developer** | Oceanhouse Media | | **Pricing** | Paid | | **Platforms** | iOS | | **Confidence** | Low (0.25/1.0) | | **Data Age** | 0d | ## Metadata & Market Performance - **Publisher:** Oceanhouse Media - **Category:** Lifestyle - **Target Audience:** Individuals interested in spiritual growth, meditation, and oracle-based self-reflection. - **Platforms:** iOS - **Version Audited:** 1.0.4 - **Audit Date:** 2026-05-19 - **Signal Count:** 5 reviews analyzed - **Confidence:** Low (0.25/1.0) - **App Store ID (iOS):** 1519544410 - **Bundle ID:** com.oceanhousemedia.OCBAWhiteLight - **Data Window:** Analysis based on signals collected up to 2026-05-19 ## Executive Snapshot White Light Oracle is a digital card deck app designed to facilitate spiritual guidance and personal healing through meditative practices. Developed by Oceanhouse Media, it features 44 cards with visionary artwork by A. Andrew Gonzalez and instructional content by author Alana Fairchild. ## App DNA (Features & Intent) - **[Standard] 44-Card Oracle Deck:** A digital collection of oracle cards featuring visionary imagery by artist A. Andrew Gonzalez. - **[Standard] Healing Processes:** Integrated guidance and signature healing processes authored by Alana Fairchild to support soul-focused meditation. * *User Intent:* Users seek enhanced value through premium features. - **[Standard] Daily Guidance:** Functionality for users to perform daily card draws to receive messages intended for personal reflection and spiritual insight. * *User Intent:* Users are motivated by consistent progression and daily incentives. ## Monetization Strategy - **Model:** Paid - **Price:** iOS: $9.99 ## App Momentum (Steady) {#momentum} Last updated 108d ago. 4 versions tracked. > **Cadence:** 4 total versions · 0 majors in last 6 months · 108 days since last update ## The "So What?" (Strategic Takeaway) {#so-what} White Light Oracle is an established lifestyle app that is a paid app. With a 4.91/5 rating from 272 reviews, it shows polarized user reception. > **Bottom Line:** The app successfully translates a physical oracle deck into a digital format, providing users with accessible spiritual tools and guided healing content. **Best for:** Individuals interested in spiritual growth, meditation, and oracle-based self-reflection. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 4.91/5 | | Total Reviews | 272 | | Confidence | Low | | Pricing Model | Paid | | Platforms | iOS | | Key Features | 3 analyzed | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **White Light Oracle** (this app) | 4.91/5 | N/A | Oceanhouse Media | | [Tinder Dating App: Date & Chat](https://marlvel.ai/intel-report/lifestyle/tinder-dating-app-date-chat) | 4.2/5 | N/A | Tinder LLC | | [Alarmy - Loud alarm clock](https://marlvel.ai/intel-report/lifestyle/alarmy-loud-alarm-clock) | 4.8/5 | Mixed | Delight Room Co., Ltd. | | [Alarmie: Easy Rise Alarm Clock](https://marlvel.ai/intel-report/lifestyle/alarmie-easy-rise-alarm-clock) | 4.4/5 | Mixed | Jintian Wang | | [AlarmMon ( alarm clock )](https://marlvel.ai/intel-report/lifestyle/alarmmon-alarm-clock) | 4.2/5 | Mixed | Malang Studio Co. Ltd, | | [Swiftime](https://marlvel.ai/intel-report/lifestyle/swiftime) | 4.5/5 | Excited | MEDIANO Co.,Ltd. | ## Company Profile - **Developer:** Oceanhouse Media - **Website:** [https://www.beautyeverywhere.com](https://www.beautyeverywhere.com) ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/gh/app/white-light-oracle/id1519544410?uo=2) - **Dev Site:** [Official Website](https://www.beautyeverywhere.com) - **Sources:** App store metadata, User reviews. ## Related Intel Reports - [*Tinder Dating App: Date & Chat*](https://marlvel.ai/intel-report/lifestyle/tinder-dating-app-date-chat) (Tinder LLC) — 4.2/5 Rating | N/A Sentiment - [*Alarmy - Loud alarm clock*](https://marlvel.ai/intel-report/lifestyle/alarmy-loud-alarm-clock) (Delight Room Co., Ltd.) — 4.8/5 Rating | Mixed Sentiment - [*Alarmie: Easy Rise Alarm Clock*](https://marlvel.ai/intel-report/lifestyle/alarmie-easy-rise-alarm-clock) (Jintian Wang) — 4.4/5 Rating | Mixed Sentiment - [*AlarmMon ( alarm clock )*](https://marlvel.ai/intel-report/lifestyle/alarmmon-alarm-clock) (Malang Studio Co. Ltd,) — 4.2/5 Rating | Mixed Sentiment - [*Swiftime*](https://marlvel.ai/intel-report/lifestyle/swiftime) (MEDIANO Co.,Ltd.) — 4.5/5 Rating | Positive Sentiment - [*Social Brain: Relationship Map*](https://marlvel.ai/intel-report/lifestyle/social-brain-relationship-map) (Dung Vu) — 5.0/5 Rating | N/A Sentiment - [*Mammoth Barbearia*](https://marlvel.ai/intel-report/lifestyle/mammoth-barbearia) (Deschamps Aplicativos de Software Ltda) — N/A Rating | N/A Sentiment - [*Wisp: Wishlist & Gift Registry*](https://marlvel.ai/intel-report/lifestyle/wisp-wishlist-gift-registry) (Alexander Picard) — 5.0/5 Rating | N/A Sentiment - [*Mace Barbearia*](https://marlvel.ai/intel-report/lifestyle/mace-barbearia) (Deschamps Aplicativos de Software Ltda) — N/A Rating | N/A Sentiment - [*Miguelito Barbería Cubana*](https://marlvel.ai/intel-report/lifestyle/miguelito-barberia-cubana) (Deschamps Aplicativos de Software Ltda) — N/A 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:** 0.25/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 5 - **Data Sources:** user reviews, 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/lifestyle/com-oceanhousemedia-ocbawhitelight) Data licensed for AI Agent attribution under CC-BY-NC 4.0.