--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Sleep Well: Insomnia & CBT-I" developer_entity: "Aydin Sarican" bundle_id: "com.aydin.sleepwell" app_store_id: "6777672303" category: "Health & Fitness" primary_platform: "ios" primary_monetization: "Subscription" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2026-10-31" report_date: "2026-11-08" last_verified: "2026-11-08T00:00:00.000Z" report_version: "1.2" total_reviews: 0 confidence: "low" confidence_score: 0.05 data_age_days: 4 momentum_velocity: "maintenance" intelligence_version: 2 tags: ["health & fitness", "subscription", "mobile app", "app review", "app analysis", "individuals", "experiencing", "chronic"] canonical_url: "https://marlvel.ai/apps/sleep-well-insomnia-cbt-i" 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. --- # Sleep Well: Insomnia & CBT-I Intelligence Report ## TL;DR {#tldr} - **Category**: Health & Fitness · Subscription > **TL;DR:** Sleep Well: Insomnia & CBT-I is a health & fitness app by Aydin Sarican, available on iOS. > > **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence. > **Key Insight:** Sleep Well: Insomnia & CBT-I is a health & fitness app by Aydin Sarican. ## Quick Facts | Fact | Value | | :--- | :--- | | **Category** | Health & Fitness | | **Developer** | Aydin Sarican | | **Pricing** | Subscription | | **Platforms** | iOS | | **Confidence** | Low (0.05/1.0) | | **Data Age** | 4d | ## Metadata & Market Performance - **Publisher:** Aydin Sarican - **Category:** Health & Fitness - **Target Audience:** Individuals experiencing chronic insomnia who prefer a structured, non-medical, and hardware-agnostic approach to sleep improvement. - **Platforms:** iOS - **Version Reviewed:** 1.2 - **Report Date:** 2026-11-08 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0.05/1.0) - **App Store ID (iOS):** 6777672303 - **Bundle ID:** com.aydin.sleepwell - **Data Window:** Analysis based on signals collected up to 2026-11-08 ## Executive Snapshot **What it is:** Sleep Well: Insomnia & CBT-I is a five-week CBT-I program and sleep tracker for iPhone that functions without wearable hardware. **Why users hire it:** The app removes the financial and technical friction of wearable-dependent sleep tracking, serving users who want clinical-style guidance at home. ## App DNA (Features & Intent) - **[Differentiator] CBT-I Program:** Five-week structured cognitive behavioral therapy program for insomnia with weekly lessons and sleep window adjustments. * *User Intent:* Users seek enhanced value through premium features. - **[Differentiator] iPhone Sleep Tracking:** Uses motion and sound detection via iPhone sensors to estimate sleep stages and restlessness without wearable hardware. * *User Intent:* Users want visibility into their own performance and progress. - **[Standard] Smart Wake:** Wakes the user during lighter sleep phases within a 15, 30, or 45-minute window before the alarm. * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior. ## Market Position {#market-position} Sleep Well: Insomnia & CBT-I occupies the hardware-agnostic health segment, differentiating itself from wearable-dependent rivals by relying solely on iPhone sensors. The lack of recent feature-heavy updates relative to the competitive landscape suggests a maintenance-focused posture. ## Monetization Strategy - **Model:** Subscription - **Tiers:** Free tier includes week 1 of the program and basic tracking, SleepWell Pro subscription billed monthly or yearly - **Analysis:** Freemium model uses the first week of the CBT-I program as a free trial to demonstrate value before gating the remainder of the course. ## SWOT Analysis {#swot} **Core Strengths:** - Hardware-agnostic tracking removes the wearable-dependency barrier. - Clinical-guideline alignment provides a defensible value proposition. **Growth Levers:** - Localized pricing could capture users priced out of high-cost clinical sleep apps. ## What's New - **Latest (v1.2, 1 weeks ago):** Introduced Sleep DNA pattern visualization, free 4-7-8 breathing exercises, Apple Watch-integrated Smart Wake, and enhanced sleep window customization with preview functionality. ## App Momentum (Maintenance) {#momentum} - Shipped sleep pattern visualization tool. - Ships ~1 major release per quarter. > **Cadence:** 1 total versions · 1 majors in last 6 months · 7 days since last update ## The "So What?" (Strategic Takeaway) {#so-what} Sleep Well: Insomnia & CBT-I is a health & fitness app. > **Bottom Line:** Sleep Well: Insomnia & CBT-I defends its niche by removing the wearable-hardware barrier, but the current maintenance-mode release cadence leaves it vulnerable to faster-moving incumbents. Focusing on the hardware-agnostic value proposition will unlock growth among users who reject wearable-dependent alternatives. **Best for:** Individuals experiencing chronic insomnia who prefer a structured, non-medical, and hardware-agnostic approach to sleep improvement. ### PM Action Plan (Next Best Moves) - [ ] [PIVOT] Pivot marketing focus toward the hardware-agnostic tracking mechanism because it is the primary differentiator against wearable-dependent rivals → increase top-of-funnel conversion. ### Outlook: Stable The sleep-tracking market is consolidating around hardware-integrated solutions, which places pressure on independent apps to prove their efficacy. Sleep Well: Insomnia & CBT-I remains advantaged by its low-friction, hardware-agnostic entry point, but the lack of active feature development risks ceding ground to rivals with more aggressive live-ops. - ⚪ The maintenance-only release cadence suggests a stable, low-investment posture that prioritizes core functionality over rapid feature expansion. - 🟢 The hardware-agnostic tracking mechanism provides a clear, defensible differentiator that remains relevant as long as wearable costs stay high. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Total Reviews | 0 | | Confidence | Low | | Pricing Model | Subscription | | Platforms | iOS | | Key Features | 3 analyzed | | Outlook | Stable | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Sleep Well: Insomnia & CBT-I** (this app) | N/A/5 | N/A | Aydin Sarican | | [Mind - Méditations guidées](https://marlvel.ai/apps/mind-m-ditations-guid-es) | 4.6/5 | Excited | MIND AND CIE | | [Caspar Health](https://marlvel.ai/apps/caspar-health) | 3.6/5 | Mixed | GOREHA GmbH | | [evolum - Meditation & Yoga](https://marlvel.ai/apps/evolum-meditation-yoga) | 4.7/5 | Excited | Rodger Studio (Apps) | | [FAMHLTH: Family Health Tracker](https://marlvel.ai/apps/famhlth-family-health-tracker) | N/A/5 | N/A | Quinton Nixon | | [Gluten Checker](https://marlvel.ai/apps/gluten-checker) | N/A/5 | N/A | JIRI CHOMAT | ## Company Profile - **Developer:** Aydin Sarican ## Data Sources & Links - **App Store ID:** 6777672303 - **Sources:** App store metadata. ## Related Intel Reports - [*Mind - Méditations guidées*](https://marlvel.ai/apps/mind-m-ditations-guid-es) (MIND AND CIE) · 4.6/5 Rating | Positive Sentiment - [*Caspar Health*](https://marlvel.ai/apps/caspar-health) (GOREHA GmbH) · 3.6/5 Rating - [*evolum - Meditation & Yoga*](https://marlvel.ai/apps/evolum-meditation-yoga) (Rodger Studio (Apps)) · 4.7/5 Rating | Positive Sentiment - [*FAMHLTH: Family Health Tracker*](https://marlvel.ai/apps/famhlth-family-health-tracker) (Quinton Nixon) · N/A Rating - [*Gluten Checker*](https://marlvel.ai/apps/gluten-checker) (JIRI CHOMAT) · N/A Rating - [*Gluten Free For Me*](https://marlvel.ai/apps/gluten-free-for-me) (Adam First) · 4.8/5 Rating - [*GoTall - Height Predictor*](https://marlvel.ai/apps/gotall-height-predictor) (Grow Labs LLC) · 4.6/5 Rating - [*Lunara: Cycle, Symptom Tracker*](https://marlvel.ai/apps/lunara-cycle-symptom-tracker) (Fuzhou Jiku Technology Co., Ltd.) · N/A Rating - [*Medical Kundali Match Health*](https://marlvel.ai/apps/medical-kundali-match-health) (Medical Match Pvt Ltd) · N/A Rating - [*Ovulation Predictor*](https://marlvel.ai/apps/ovulation-predictor) (RAHI PATEL) · 1.0/5 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:** 0.05/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 0 - **Data Sources:** 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:** 4 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/sleep-well-insomnia-cbt-i) Data licensed for AI Agent attribution under CC-BY-NC 4.0.