--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "White Noise - Sleep Sounds" developer_entity: "Ca Li Sa" bundle_id: "com.calisa.white-noise-sleep-sounds" app_store_id: "1366542140" category: "Health & Fitness" primary_platform: "ios" primary_monetization: "Free" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2018-03-31" report_date: "2026-08-17" last_verified: "2026-08-17T00:00:00.000Z" report_version: "1.0" total_reviews: 6 overall_rating: 4.3 confidence: "low" confidence_score: 0.15 data_age_days: 50 intelligence_version: 3 nemesis: "Fan Noise Sleep Sounds" competitor_count: 11 tags: ["health & fitness", "free", "mobile app", "app review", "app analysis", "individuals", "seeking", "tools"] canonical_url: "https://marlvel.ai/apps/white-noise-sleep-sounds-1" license: "CC-BY-NC 4.0" content_version: "v2" --- ## ⚠ Content Warning This report covers topics classified as sensitive (health). Information is aggregated from public sources for informational purposes only. This is not medical advice. Consult a qualified professional before acting on any information here. --- # White Noise - Sleep Sounds Intelligence Report ## TL;DR {#tldr} - **Category**: Health & Fitness · Free - **Signal**: Rating 4.33 > **TL;DR:** White Noise - Sleep Sounds is a health & fitness app by Ca Li Sa, rated 4.33/5 by 6 users, available on iOS. > > **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence. > **Key Insight:** White Noise - Sleep Sounds is a health & fitness app by Ca Li Sa. ## Quick Facts | Fact | Value | | :--- | :--- | | **Rating** | 4.33/5 (6 reviews) | | **Category** | Health & Fitness | | **Developer** | Ca Li Sa | | **Pricing** | Free | | **Platforms** | iOS | | **Confidence** | Low (0.15/1.0) | | **Data Age** | 50d | ## Metadata & Market Performance - **Publisher:** Ca Li Sa - **Category:** Health & Fitness - **Target Audience:** Individuals seeking tools for sleep improvement, stress management, and guided meditation practice. - **Platforms:** iOS - **Version Reviewed:** 1.0 - **Report Date:** 2026-08-17 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0.15/1.0) - **App Store ID (iOS):** 1366542140 - **Bundle ID:** com.calisa.white-noise-sleep-sounds - **Performance Trend:** Declining - **Data Window:** Analysis based on signals collected up to 2026-08-17 ## Executive Snapshot **What it is:** White Noise - Sleep Sounds is a free ambient audio and meditation app for iOS that allows users to create custom sound mixes for sleep and relaxation. **Why users hire it:** The app removes the friction of finding a balanced sleep environment by allowing users to layer multiple ambient sounds into a single, saved mix. ## App DNA (Features & Intent) - **[Standard] Ambient Sound Library:** High-quality stereo sounds designed to create a relaxing environment. - **[Differentiator] Custom Mixes:** Allows users to save personalized sound combinations for quick access. * *User Intent:* Users value self-expression and personalized experiences. - **[Standard] Meditation Guide:** Hundreds of programs focused on breathing, mindfulness, and stress reduction. * *User Intent:* Users need clear guidance to understand and adopt the product quickly. ## Market Position {#market-position} White Noise - Sleep Sounds occupies a niche position in the Health & Fitness category with a 4.33 rating based on 6 total reviews. The lack of significant review volume relative to category rivals signals a need for increased user acquisition to establish market presence. ## Monetization Strategy - **Model:** Free - **Tiers:** Free - **Analysis:** The app operates as a free tool, relying on accessibility to attract users in a crowded sleep-aid market. ## SWOT Analysis {#swot} **Core Strengths:** - Versatile mix-and-match soundscape engine - Simplified interface reduces cognitive load **Growth Levers:** - Focus on unique, user-generated sound mixing capabilities ## Recent Changes (v2 → v3) {#recent-changes} The app's competitive assessment shifted from a neutral feature description to a critical evaluation of its stagnant development and lack of social proof. The primary change is the identification of a necessary pivot toward user-generated content to overcome a six-rating barrier to entry. **Overall trend**: Declining **Compared at**: 2026-08-17 ### High-impact changes - **[Shifted] Strategic Pivot Requirement** (positioning) ### Medium-impact changes - **[Improved] Custom Mixes Repositioning** (features) - **[Added] New SWOT Items** (swot) ## Rivals Landscape {#rivals} > Competitive positioning identified by AI analysis of app features, category, and market signals. ### White Noise - Sleep Sounds vs Fan Noise Sleep Sounds - **[Fan Noise Sleep Sounds](https://marlvel.ai/apps/fan-noise-sleep-sounds)** by Slumber Studios, LLC: This app directly competes for the same sleep-aid audience by focusing on high-fidelity, singular ambient sound experiences that mirror the core utility of this app. - **Key differences:** - Offers granular oscillation and fader controls that provide a more realistic mechanical fan sound experience. - Maintains a massive user base and high review volume, creating a strong social proof barrier to entry. - Provides an extended sleep timer feature that allows for more flexible, long-duration overnight sound playback. ### Contenders (Strong Challengers) - **[ColorSleep: Green, Brown Noise](https://marlvel.ai/apps/colorsleep-green-brown-noise)** by EaseHere Limited: ColorSleep captures a large market share by focusing on the specific frequency-based noise preferences of sleep-deprived users. - Curates a massive library of colored noise variants that target specific user preferences for sound texture. - Maintains a high release cadence, ensuring the app remains optimized for the latest iOS hardware and features. - **[White Noise ·](https://marlvel.ai/apps/white-noise-1)** by Touchberry: This app competes by offering advanced audio engineering and cross-device synchronization for power users. - Supports cross-device playback, allowing users to maintain their sleep environment across multiple hardware platforms seamlessly. - Provides advanced noise engineering tools that allow for deeper customization than this app's standard presets. - **[Relaxing Nights - The Calm App](https://marlvel.ai/apps/relaxing-nights-the-calm-app)** by Muhammad Jahanzeb: This app targets the same basic sleep-aid utility but struggles with quality, serving as a cautionary tale for this app's feature set. - Features an offline audio library that ensures functionality without requiring a consistent or stable internet connection. - Attempts a sound mixer interface that is functionally similar but currently lacks the polish of this app. - **[Nuits: White Noise Soundscapes](https://marlvel.ai/apps/nuits-white-noise-soundscapes)** by nada studio, sl: Nuits competes by targeting the premium end of the sleep market with high-definition soundscapes and visual elements. - Integrates visual landscapes to complement audio, creating a multi-sensory relaxation experience this app lacks. - Includes specialized focus and flow state tools that expand the app's utility beyond just sleep aid. ### Peers (What They Do Better) - **[Sleepio 3.0](https://marlvel.ai/apps/sleepio-3-0)** by Big Health Ltd: Sleepio provides a comprehensive, program-based approach to sleep health that competes for the user's time and attention. - Offers a structured, multi-week sleep program that creates high switching costs for users invested in the process. - Includes a dedicated sleep diary and progress review system to help users identify and correct sleep patterns. - **[Insomnia: Fall Asleep Fast](https://marlvel.ai/apps/insomnia-fall-asleep-fast)** by Tinybiohacks Private Limited: This app competes by integrating physical breathing exercises with audio, offering a more holistic approach to falling asleep. - Guides users through 4-7-8 breathing exercises, providing a physical intervention to complement the audio experience. - Uses haptic vibration cues to signal the end of breathing cycles without requiring the user to look. - **[Somryst](https://marlvel.ai/apps/somryst)** by KOEO: Somryst operates in the medical space, providing a clinical approach to sleep that challenges this app's casual wellness positioning. - Delivers a structured digital CBT-I program that provides clinical-grade support for users with chronic insomnia. - Focuses on progress tracking and clinical outcomes rather than just providing ambient background noise for sleep. - **[MoMoSleep - Auto Sleep Tracker](https://marlvel.ai/apps/momosleep-auto-sleep-tracker)** by ScicoDream Network Technology Ltd: MoMoSleep expands the sleep category by combining audio playback with active health monitoring and gamification. - Implements gamified 'Dream Café' elements to increase daily user engagement and long-term retention rates. - Utilizes automated nap detection and sleep stage tracking to provide actionable health data beyond simple audio. ### New Kids on the Block (What's Innovative) - **[Healing Frequencies: Solfeggio](https://marlvel.ai/apps/healing-frequencies-solfeggio)** by EaseHere Limited: This app enters the market by targeting the niche of spiritual and frequency-based audio healing for sleep. - Integrates binaural beats and Solfeggio frequencies, offering a specialized audio layer that standard white noise apps lack. - **[Mandala Day](https://marlvel.ai/apps/mandala-day)** by Gabriel Sorell: Mandala Day is a new entrant focusing on a minimalist, non-gamified approach to daily cycles and relaxation. - Prioritizes a non-gamified, privacy-focused interface that appeals to users seeking a distraction-free relaxation experience. ## App Momentum (Steady) {#momentum} - No significant updates since 2018 release. ## The "So What?" (Strategic Takeaway) {#so-what} White Noise - Sleep Sounds is a health & fitness app that is completely free. It holds a 4.33/5 rating from 6 reviews. > **Bottom Line:** White Noise - Sleep Sounds must pivot toward unique, user-generated sound mixing to differentiate from the rigid, high-fidelity focus of category rivals. This shift would unlock a community-driven growth loop that bypasses the need to compete directly on review volume. **Best for:** Individuals seeking tools for sleep improvement, stress management, and guided meditation practice. ### PM Action Plan (Next Best Moves) - [ ] [PIVOT] Pivot to user-generated content sharing because current review volume is too low to compete on brand authority → increase organic discovery ### Feature Gaps vs Competitors - Granular oscillation controls (available in Fan Noise Sleep Sounds) ### Outlook: Mixed The sleep-aid category is consolidating around apps with high-cadence updates and massive social proof. White Noise - Sleep Sounds remains exposed due to its stagnant release cadence and lack of review volume, which will likely lead to further decline in visibility against active competitors. - 🔴 The lack of updates since the 2018 release signals a maintenance-only posture, which erodes the app's ability to remain optimized for current hardware. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 4.33/5 | | Total Reviews | 6 | | Confidence | Low | | Pricing Model | Free | | Platforms | iOS | | Key Features | 3 analyzed | | Trend | Declining | | Outlook | Mixed | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **White Noise - Sleep Sounds** (this app) | 4.33/5 | N/A | Ca Li Sa | | [ColorSleep: Green, Brown Noise](https://marlvel.ai/apps/colorsleep-green-brown-noise) | 4.8/5 | N/A | EaseHere Limited | | [Healing Frequencies: Solfeggio](https://marlvel.ai/apps/healing-frequencies-solfeggio) | 5.0/5 | N/A | EaseHere Limited | | [Mandala Day](https://marlvel.ai/apps/mandala-day) | 5.0/5 | N/A | Gabriel Sorell | | [Relaxing Nights - The Calm App](https://marlvel.ai/apps/relaxing-nights-the-calm-app) | 1.5/5 | N/A | Muhammad Jahanzeb | | [White Noise ·](https://marlvel.ai/apps/white-noise-1) | 4.4/5 | N/A | Touchberry | ## Company Profile - **Developer:** Ca Li Sa - **Website:** [https://www.facebook.com/calisa.studio/](https://www.facebook.com/calisa.studio/) - **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/white-noise-sleep-sounds/id1366542140?uo=4) - **Dev Site:** [Official Website](https://www.facebook.com/calisa.studio/) - **Sources:** About us / company information, App store metadata. ## Related Intel Reports - [*ColorSleep: Green, Brown Noise*](https://marlvel.ai/apps/colorsleep-green-brown-noise) (EaseHere Limited) · 4.8/5 Rating - [*Healing Frequencies: Solfeggio*](https://marlvel.ai/apps/healing-frequencies-solfeggio) (EaseHere Limited) · 5.0/5 Rating - [*Mandala Day*](https://marlvel.ai/apps/mandala-day) (Gabriel Sorell) · 5.0/5 Rating - [*Relaxing Nights - The Calm App*](https://marlvel.ai/apps/relaxing-nights-the-calm-app) (Muhammad Jahanzeb) · 1.5/5 Rating - [*White Noise ·*](https://marlvel.ai/apps/white-noise-1) (Touchberry) · 4.4/5 Rating - [*Nuits: White Noise Soundscapes*](https://marlvel.ai/apps/nuits-white-noise-soundscapes) (nada studio, sl) · 5.0/5 Rating - [*Insomnia: Fall Asleep Fast*](https://marlvel.ai/apps/insomnia-fall-asleep-fast) (Tinybiohacks Private Limited) · 4.3/5 Rating - [*Somryst*](https://marlvel.ai/apps/somryst) (KOEO) · 3.2/5 Rating - [*Sleepio 3.0*](https://marlvel.ai/apps/sleepio-3-0) (Big Health Ltd) · 4.6/5 Rating - [*Fan Noise Sleep Sounds*](https://marlvel.ai/apps/fan-noise-sleep-sounds) (Slumber Studios, LLC) · 4.8/5 Rating | Positive 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 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:** 0.15/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 0 - **Data Sources:** 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:** 50 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/white-noise-sleep-sounds-1) Data licensed for AI Agent attribution under CC-BY-NC 4.0.