--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "AI Skin Analysis: Face Care" developer_entity: "Nila Rahmawati" bundle_id: "com.gagakstudio.ai.face.care.skin.analyzer" app_store_id: "6782282188" category: "Health & Fitness" primary_platform: "ios" primary_monetization: "Subscription" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2026-09-06" report_date: "2026-09-12" last_verified: "2026-09-12T00:00:00.000Z" report_version: "1.1" total_reviews: 0 confidence: "low" confidence_score: 0.2 data_age_days: 18 momentum_velocity: "maintenance" intelligence_version: 2 tags: ["health & fitness", "subscription", "mobile app", "app review", "app analysis", "individuals", "seeking", "personalized"] canonical_url: "https://marlvel.ai/apps/ai-skin-analysis-face-care" 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. --- # AI Skin Analysis: Face Care Intelligence Report ## TL;DR {#tldr} - **Category**: Health & Fitness · Subscription > **TL;DR:** AI Skin Analysis: Face Care is a health & fitness app by Nila Rahmawati, available on iOS. > > **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence. > **Key Insight:** AI Skin Analysis: Face Care is a health & fitness app by Nila Rahmawati. ## Quick Facts | Fact | Value | | :--- | :--- | | **Category** | Health & Fitness | | **Developer** | Nila Rahmawati | | **Pricing** | Subscription | | **Platforms** | iOS | | **Confidence** | Low (0.2/1.0) | | **Data Age** | 18d | ## Metadata & Market Performance - **Publisher:** Nila Rahmawati - **Category:** Health & Fitness - **Target Audience:** Individuals seeking personalized skincare guidance and ingredient analysis without professional dermatological consultation. - **Platforms:** iOS - **Version Reviewed:** 1.1 - **Report Date:** 2026-09-12 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0.2/1.0) - **App Store ID (iOS):** 6782282188 - **Bundle ID:** com.gagakstudio.ai.face.care.skin.analyzer - **Data Window:** Analysis based on signals collected up to 2026-09-12 ## Executive Snapshot **What it is:** AI Skin Analysis: Face Care is a health and fitness tool that uses image processing to generate personalized skincare routines and scan product ingredients on iOS. **Why users hire it:** The app removes the friction of professional dermatological consultations by providing instant, data-driven skincare guidance and safety checks for product labels. ## App DNA (Features & Intent) - **[Standard] AI Skin Scan:** Analyzes uploaded photos to score hydration, texture, and tone using image processing. * *User Intent:* Users seek enhanced value through premium features. - **[Differentiator] Personalized Routine Builder:** Generates AM/PM skincare schedules based on user-provided skin profile and goals. * *User Intent:* Users value self-expression and personalized experiences. - **[Differentiator] Ingredient Safety Scanner:** Uses camera to identify and analyze product label ingredients. * *User Intent:* Users seek enhanced value through premium features. ## Market Position {#market-position} AI Skin Analysis: Face Care operates in the health and fitness category with a subscription-first model. The lack of recent major updates suggests a focus on maintaining core utility rather than aggressive market share acquisition. ## Monetization Strategy - **Model:** Subscription - **Tiers:** Weekly Plan at $4.99, Monthly Plan at $9.99, Yearly Plan at $49.99, Lifetime Access at $99.99 - **Analysis:** Subscription-first model with a high-frequency weekly option and a lifetime buyout to capture diverse user willingness to pay. ## SWOT Analysis {#swot} **Core Strengths:** - Ingredient safety scanner provides actionable consumer data - Personalized routine builder drives daily retention loops **Growth Levers:** - Localized pricing in high-ARPU markets ## What's New - **Latest (v1.1, 5 days ago):** Improved image generation reliability and overall performance. ## App Momentum (Maintenance) {#momentum} - Shipped image generation reliability fixes. - Maintains maintenance-mode release cadence. > **Cadence:** 2 total versions · 0 majors in last 6 months · 5 days since last update · 51 days avg between updates ## The "So What?" (Strategic Takeaway) {#so-what} AI Skin Analysis: Face Care is a health & fitness app. > **Bottom Line:** The ingredient scanner provides the core value proposition that justifies the subscription model. Maintaining accuracy in this feature is the primary mechanism to defend the current price point against free, platform-level alternatives. **Best for:** Individuals seeking personalized skincare guidance and ingredient analysis without professional dermatological consultation. ### PM Action Plan (Next Best Moves) - [ ] [INVEST] Audit ingredient scanner accuracy because user trust is the primary barrier to subscription conversion → increase long-term retention ### Outlook: Stable The skincare-analysis market is consolidating around tools that provide actionable ingredient data rather than simple visual scoring. AI Skin Analysis: Face Care remains stable by focusing on its core ingredient-scanning utility, but it must defend this position against larger health platforms that may integrate similar features at no cost. - ⚪ The latest release focuses on stability and image generation, indicating a maintenance-only cadence rather than active feature expansion. - 🟢 The ingredient safety scanner provides a unique utility that differentiates the app from standard, non-specialized health tracking tools. ## 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 | | :--- | :--- | :--- | :--- | | **AI Skin Analysis: Face Care** (this app) | N/A/5 | N/A | Nila Rahmawati | | [GoTall - Height Predictor](https://marlvel.ai/apps/gotall-height-predictor) | 4.6/5 | n/a | Grow Labs LLC | | [Mind - Méditations guidées](https://marlvel.ai/apps/mind-m-ditations-guid-es) | 4.6/5 | Excited | MIND AND CIE | | [Strava: Run, Bike, Walk](https://marlvel.ai/apps/strava-run-bike-walk) | 4.7/5 | n/a | Strava, Inc. | | [Taller AI: Height Maximizer](https://marlvel.ai/apps/taller-ai-height-maximizer) | 4.7/5 | Excited | Leadimize | | [TallerTeen - Grow Taller Now](https://marlvel.ai/apps/tallerteen-grow-taller-now) | 4.7/5 | n/a | Viral App Developement LLC | ## Company Profile - **Developer:** Nila Rahmawati - **Website:** [https://gagakstudio.blogspot.com/](https://gagakstudio.blogspot.com/) ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/us/app/ai-skin-analysis-face-care/id6782282188?uo=4) - **Dev Site:** [Official Website](https://gagakstudio.blogspot.com/) - **Sources:** Developer website content, App store metadata. ## Related Intel Reports - [*GoTall - Height Predictor*](https://marlvel.ai/apps/gotall-height-predictor) (Grow Labs LLC) · 4.6/5 Rating - [*Mind - Méditations guidées*](https://marlvel.ai/apps/mind-m-ditations-guid-es) (MIND AND CIE) · 4.6/5 Rating | Positive Sentiment - [*Strava: Run, Bike, Walk*](https://marlvel.ai/apps/strava-run-bike-walk) (Strava, Inc.) · 4.7/5 Rating - [*Taller AI: Height Maximizer*](https://marlvel.ai/apps/taller-ai-height-maximizer) (Leadimize) · 4.7/5 Rating | Positive Sentiment - [*TallerTeen - Grow Taller Now*](https://marlvel.ai/apps/tallerteen-grow-taller-now) (Viral App Developement LLC) · 4.7/5 Rating - [*Activity Tracker・FitnessView*](https://marlvel.ai/apps/activity-tracker-fitnessview) (Funn Media, LLC) · 4.0/5 Rating - [*Avatran Soul*](https://marlvel.ai/apps/avatran-soul) (Avatran GmbH) · N/A Rating - [*Bubblic: Connect with people.*](https://marlvel.ai/apps/bubblic-connect-with-people) (Bubblic Inc.) · 4.6/5 Rating | Excellent Sentiment - [*evolum - Meditation & Yoga*](https://marlvel.ai/apps/evolum-meditation-yoga) (Evolum) · 4.7/5 Rating | Positive Sentiment - [*Holoholo: Daily Memories*](https://marlvel.ai/apps/holoholo-daily-memories) (For Pedestrians LLC.) · 4.4/5 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:** 0.2/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 0 - **Data Sources:** 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:** 18 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/ai-skin-analysis-face-care) Data licensed for AI Agent attribution under CC-BY-NC 4.0.