--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Clera: AI Skin Analyzer" developer_entity: "Jules Deparis" bundle_id: "com.slicycode.clera" app_store_id: "6761551011" category: "Health & Fitness" primary_platform: "ios" primary_monetization: "Freemium" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2026-10-30" report_date: "2026-11-02" last_verified: "2026-11-02T00:00:00.000Z" report_version: "1.4.0" total_reviews: 2 overall_rating: 5 confidence: "low" confidence_score: 0.2 data_age_days: 12 momentum_velocity: "maintenance" intelligence_version: 2 tags: ["health & fitness", "freemium", "mobile app", "app review", "app analysis", "skincare", "enthusiasts", "multiple"] canonical_url: "https://marlvel.ai/apps/clera-ai-skin-analyzer" 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. --- # Clera: AI Skin Analyzer Intelligence Report ## TL;DR {#tldr} - **Category**: Health & Fitness · Freemium - **Signal**: Rating 5 > **TL;DR:** Clera: AI Skin Analyzer is a health & fitness app by Jules Deparis, rated 5/5 by 2 users, available on iOS. > > **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence. > **Key Insight:** Clera: AI Skin Analyzer is a health & fitness app by Jules Deparis. ## Quick Facts | Fact | Value | | :--- | :--- | | **Rating** | 5/5 (2 reviews) | | **Category** | Health & Fitness | | **Developer** | Jules Deparis | | **Pricing** | Freemium | | **Platforms** | iOS | | **Confidence** | Low (0.2/1.0) | | **Data Age** | 12d | ## Metadata & Market Performance - **Publisher:** Jules Deparis - **Category:** Health & Fitness - **Target Audience:** Skincare enthusiasts who own multiple products and want to verify their efficacy without receiving automated product recommendations. - **Platforms:** iOS - **Version Reviewed:** 1.4.0 - **Report Date:** 2026-11-02 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0.2/1.0) - **App Store ID (iOS):** 6761551011 - **Bundle ID:** com.slicycode.clera - **Data Window:** Analysis based on signals collected up to 2026-11-02 ## Executive Snapshot **What it is:** Clera is a skincare management app for iOS that organizes user-owned products and tracks skin health via AI-powered selfie analysis. **Why users hire it:** Users want to verify if their current skincare routine is effective without being subjected to automated product recommendations or affiliate-driven sales pitches. ## App DNA (Features & Intent) - **[Differentiator] AI Skin Analysis:** Computer vision evaluates seven skin dimensions including hydration, texture, and wrinkles from a selfie. * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior. - **[Differentiator] Routine Builder:** Organizes user-owned skincare products into a specific layering sequence based on product type. * *User Intent:* Users seek enhanced value through premium features. - **[Standard] Progress Tracking:** Visualizes skin changes over time using weekly scans and side-by-side photo comparisons. * *User Intent:* Users seek enhanced value through premium features. ## Market Position {#market-position} Clera maintains a niche position in the Health & Fitness category by rejecting the affiliate-link model standard in the space. With a 5-star rating on the App Store, the app relies on high user trust rather than broad chart-topping visibility. ## Monetization Strategy - **Model:** Freemium - **Tiers:** Free: 2 scans/week, basic routine builder, 4 weeks history, Premium: Unlimited scans, 7-dimension breakdown, full history, trend charts - **Analysis:** The model differentiates by excluding affiliate product recommendations, focusing monetization on advanced data tracking and unlimited analysis. ## SWOT Analysis {#swot} **Core Strengths:** - Product-neutral diagnostic model removes sales-pitch friction - Local-only scan storage provides privacy-focused barrier **Growth Levers:** - Localized pricing enables expansion into high-ARPU markets ## What's New - **Latest (v1.4.0, 3 days ago):** Introduced local currency pricing and full multi-language translation support. ## App Momentum (Maintenance) {#momentum} - Shipped local currency pricing support. - Integrated full multi-language translation. - Optimized battery consumption for camera. > **Cadence:** 1 total versions · 1 majors in last 6 months · 3 days since last update ## The "So What?" (Strategic Takeaway) {#so-what} Clera: AI Skin Analyzer is a health & fitness app that is free with in-app purchases. It holds a 5/5 rating from 2 reviews. > **Bottom Line:** Clera's product-neutral model builds high user trust, but the restrictive free tier caps the funnel; increasing scan frequency would unlock the habit-forming potential needed to compete against affiliate-heavy incumbents. **Best for:** Skincare enthusiasts who own multiple products and want to verify their efficacy without receiving automated product recommendations. ### PM Action Plan (Next Best Moves) - [ ] [PIVOT] Expand free-tier scan limit to 3 per week because current 2-scan limit restricts habit formation → increase retention ### Outlook: Stable The skincare-tracking market is consolidating around apps that provide actionable efficacy data rather than simple product logs. Clera is well-positioned to capture users fatigued by affiliate-heavy apps, provided the team can scale the AI analysis accuracy through increased user engagement. - 🟢 The latest release added local currency support, which enables Clera to capture international users who were previously blocked by pricing friction. - ⚪ The current maintenance-level release cadence suggests Clera is prioritizing routine stability over aggressive feature expansion, which keeps the app stable but limits growth. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 5/5 | | Total Reviews | 2 | | Confidence | Low | | Pricing Model | Freemium | | Platforms | iOS | | Key Features | 3 analyzed | | Outlook | Stable | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Clera: AI Skin Analyzer** (this app) | 5/5 | N/A | Jules Deparis | | [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:** Jules Deparis - **Website:** [https://www.cleraskin.app](https://www.cleraskin.app) ## Data Sources & Links - **App Store ID:** 6761551011 - **Dev Site:** [Official Website](https://www.cleraskin.app) - **Sources:** Developer website content, 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:** 0.2/1.0 (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:** 12 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/clera-ai-skin-analyzer) Data licensed for AI Agent attribution under CC-BY-NC 4.0.