## ⚠ 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. --- last_verified: "2026-06-10T13:47:18.858Z" --- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Clean Label Project Mobile" developer_entity: "Clean Label Project" bundle_id: "org.cleanlabelproject.app" app_store_id: "6758892041" category: "Health & Fitness" primary_platform: "ios" primary_monetization: "Free" offline_capable: false market_region: "US" platforms: "iOS & Android" app_last_updated: "2026-04-13" report_date: "2026-06-10" last_verified: "2026-06-10" report_version: "1.3.1" total_reviews: 2 overall_rating: 5 confidence: "low" confidence_score: 0.3 data_age_days: 0 momentum_velocity: "maintenance" intelligence_version: 3 nemesis: "MenuFit - Healthy Eating Out" competitor_count: 11 tags: ["health & fitness", "free", "mobile app", "app review", "app analysis", "health-conscious", "consumers", "parents"] canonical_url: "https://marlvel.ai/intel-report/health-fitness/clean-label-project-mobile" license: "CC-BY-NC 4.0" content_version: "v2" --- # Clean Label Project Mobile App Audit ## TL;DR {#tldr} - **Category**: Health & Fitness · Free - **Signal**: Rating 5 > **TL;DR:** Clean Label Project Mobile is a health & fitness app by Clean Label Project, rated 5/5 by 2 users, available on iOS & Android. > > **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence. > **Key Insight:** Clean Label Project Mobile is a health & fitness app by Clean Label Project. ## Quick Facts | Fact | Value | | :--- | :--- | | **Rating** | 5/5 (2 reviews) | | **Category** | Health & Fitness | | **Developer** | Clean Label Project | | **Pricing** | Free | | **Platforms** | iOS & Android | | **Confidence** | Low (0.3/1.0) | | **Data Age** | 0d | ## Metadata & Market Performance - **Publisher:** Clean Label Project - **Category:** Health & Fitness - **Target Audience:** Health-conscious consumers and parents seeking to identify and avoid hidden contaminants like heavy metals and pesticides in everyday food and baby products. - **Platforms:** iOS & Android - **Version Audited:** 1.3.1 - **Audit Date:** 2026-06-10 - **Signal Count:** 2 reviews analyzed - **Confidence:** Low (0.3/1.0) - **App Store ID (iOS):** 6758892041 - **Bundle ID:** org.cleanlabelproject.app - **Google Play ID:** org.cleanlabelproject.app - **Performance Trend:** Mixed - **Data Window:** Analysis based on signals collected up to 2026-06-10 ## Executive Snapshot **What it is:** Clean Label Project Mobile is a health-focused utility app that provides consumers with verified product testing data for heavy metals and contaminants. **Why users hire it:** Users hire this app to validate food safety claims through science-based testing, reducing the cognitive load of identifying hidden contaminants in grocery products. ## App DNA (Features & Intent) - **[Differentiator] Verified Product Database:** Access to a curated list of products tested by the Clean Label Project for heavy metals, pesticides, and plasticizers. * *User Intent:* Users seek enhanced value through premium features. - **[Standard] Grocery List Builder:** Tool to organize and plan shopping lists based on verified product data. * *User Intent:* Users seek enhanced value through premium features. - **[Standard] Health News Feed:** Dedicated section for updates on food safety, consumer wellness, and research. * *User Intent:* Users want to quickly find relevant content or features. ## Market Position {#market-position} The app functions as a niche, science-backed utility in the Health & Fitness category, currently maintaining a 5-star rating on iOS with a limited review count. ## Monetization Strategy - **Model:** Free - **Tiers:** Free access to all verified product data and news - **Analysis:** The app operates as a free utility to support the organization's mission of transparency, with no current IAP or subscription gates observed. ## SWOT Analysis {#swot} **Core Strengths:** - Science-based testing outcomes provide higher consumer trust than general nutritional data. - Verified product database functions as a specialized barrier against generic health apps. **Critical Frictions:** - Manual search interface creates high friction at the shelf. - Lack of AI-assisted scanning limits utility compared to peers. - 0-rating on Android platform indicates low visibility or adoption. **Growth Levers:** - Integration of instant food scanning technology could reduce shelf-side friction. - Expansion into wearable data could bridge the gap between product verification and lifestyle management. **Market Threats:** - AI-powered scanning apps like Food Checker are rapidly commoditizing nutritional transparency. - Competitors with high-frequency AI tools are siphoning engagement from static database apps. ## Recent Changes (v2 → v3) {#recent-changes} The analysis shifted from a general focus on institutional authority to a specific critique of the manual-entry UX, identifying AI-powered scanning as the primary competitive requirement. **Overall trend**: Mixed **Compared at**: 2026-06-10 ### High-impact changes - **[Shifted] Strategic focus on utility** (positioning) — Executive summary shifted from emphasizing institutional authority to highlighting the need for real-time, high-frequency utility to prevent churn. - **[Added] Manual search friction** (swot) — Added 'Manual search interface creates high friction at the shelf' as a core weakness. - **[Added] AI scanning gap** (features) — Identified 'Instant food scanning technology' and 'AI-powered nutrition advisor' as missing features compared to Food Checker. ### Medium-impact changes - **[Added] AI-powered threats** (swot) — Added 'AI-powered scanning apps' as a primary threat to the static database model. ## Rivals Landscape {#rivals} > Competitive positioning identified by AI analysis of app features, category, and market signals. ### Clean Label Project Mobile vs MenuFit - Healthy Eating Out — Head to Head - **[MenuFit - Healthy Eating Out](https://marlvel.ai/intel-report/health-fitness/com-myhealthymenu-app)** by Kosco Digital LLC: MenuFit competes directly by providing actionable health insights for dining out, mirroring the Clean Label Project's mission to help consumers make informed, science-based food choices. - **Key differences:** - Offers an AI Menu Assistant that provides real-time health analysis for specific restaurant menu items. - Maintains a massive global restaurant database that provides immediate utility for users eating away from home. - Integrates personalized macro recommendations, moving beyond simple product verification into active lifestyle management. - **Where Clean Label Project Mobile wins:** - ✅ Provides authoritative, science-based testing outcomes that offer higher consumer trust than general nutritional data. - ✅ Focuses on product-level transparency which is more actionable for grocery shoppers than restaurant menu estimates. - **Where MenuFit - Healthy Eating Out wins:** - ❌ Boasts a massive user base and high engagement metrics, creating a strong network effect for restaurant data. - ❌ Delivers high-frequency value through AI-powered tools that assist users during every dining-out decision. - **Verdict:** The target should pivot toward integrating more frequent, high-utility tools like grocery list optimization or AI-assisted label scanning to match the nemesis's engagement frequency. ### Contenders (Strong Challengers) - **[Protein-Check: Discover Top High Protein Rich Foods List for the best Power Diet](https://marlvel.ai/intel-report/health-fitness/protein-check-discover-top-high-protein-rich-foods)** by Jommi UG (haftungsbeschrankt): It serves the same audience interested in specific nutritional attributes of food products for diet optimization. - Offers a comprehensive database specifically filtered for high-protein food sources to aid power diet planning. - Includes a product alternatives feature that helps users swap lower-quality items for higher-protein options. - **[CalorieGuide Food Nutrition Facts Calculator for Fresh Produce & Healthy Diet Living](https://marlvel.ai/intel-report/health-fitness/calorieguide-food-nutrition-facts-calculator-for-f)** by Jommi UG (haftungsbeschrankt): This app overlaps with the target's goal of providing nutritional transparency for grocery items and fresh produce. - Features a search-as-you-type interface that allows for rapid lookup of nutritional facts for fresh produce. - Provides serving size adjustment tools, allowing users to calculate precise intake based on their specific portions. - **[تخفيف الوزن](https://marlvel.ai/intel-report/health-fitness/smartway2-takhsiswazn)** by younes ahmed: It competes for the attention of users seeking practical weight loss advice and lifestyle management methods. - Focuses on daily weight loss tips that provide low-friction, recurring value to the user's home screen. - Emphasizes practical lifestyle methods rather than deep scientific product testing or complex nutritional data analysis. - **[برامج رجيم](https://marlvel.ai/intel-report/sports/mywayappsteam-regim)** by younes ahmed: This app targets the same health-conscious demographic by offering dietary programs and weight loss recipes. - Includes a dedicated library of dietary programs that provide structured guidance for specific weight loss goals. - Offers beauty and skin care tips, broadening the value proposition beyond simple food and nutrition tracking. ### Peers (What They Do Better) - **[Macros from Brazil](https://marlvel.ai/intel-report/reference/macros-from-brazil)** by Biographics Consultoria e Design LTDA: It provides a reference-based approach to nutrition, similar to the target's focus on verified food data. - Provides direct access to the TACO database, a specialized reference for nutritional content in Brazilian foods. - Includes social sharing and favorites management, allowing users to build a personalized library of nutritional data. - **[Food Checker - BiteRate](https://marlvel.ai/intel-report/health-fitness/food-checker-biterate)** by Apps Labs: This app is a direct functional peer, using AI to provide health scores for food products via scanning. - Utilizes instant food scanning technology to provide immediate health scores, significantly reducing user friction at the shelf. - Features an AI-powered nutrition advisor that offers personalized goal tracking based on the user's specific health profile. - **[MyLifeXtended](https://marlvel.ai/intel-report/health-fitness/mylifextended)** by M6 Software, LLC: It shares the target's focus on long-term health outcomes through lifestyle modeling and data analysis. - Uses lifespan estimation modeling to gamify health choices, a unique angle compared to simple product verification. - Focuses on long-term lifestyle impact rather than immediate, single-product nutritional or safety evaluations. - **[Sund med Duer](https://marlvel.ai/intel-report/health-fitness/io-beefit-fitmedduer)** by Henrik Duer: This app operates in the holistic health space, combining nutritional guidance with exercise and mental health support. - Provides live community support and coaching, which creates a much higher barrier to entry than static databases. - Integrates mental health tools alongside physical fitness, offering a more comprehensive wellness ecosystem for the user. ### New Kids on the Block (What's Innovative) - **[Similia Home Prescriber](https://marlvel.ai/intel-report/health-fitness/com-similia-home)** by Similia Homeopathy: This newcomer uses AI to provide personalized health recommendations, competing for the user's trust in health-related decision making. - Employs AI-powered symptom analysis to offer personalized health questionnaires, creating a highly tailored user experience. - **[FitAi: Workout & Calorie Track](https://marlvel.ai/intel-report/health-fitness/com-flaggy-fitai)** by Fabian-Remus Plavat: A new entrant leveraging AI to automate nutrition and workout tracking, threatening the target's manual lookup model. - Uses photo-based nutrition tracking to eliminate manual entry, a major UX advantage over traditional database lookups. ## What's New - **Latest (v1.0.0, 1 months ago):** Enhanced UI/UX animations, added brand logo placeholders for missing product images, and redesigned the CLP Links page. ## App Momentum (Maintenance) {#momentum} - Ships regular updates for database accuracy. - Maintains consistent, mission-driven feature set. > **Cadence:** 2 total versions · 2 majors in last 6 months · 57 days since last update · 0 days avg between updates ## The "So What?" (Strategic Takeaway) {#so-what} Clean Label Project Mobile is an established health & fitness app that is completely free. With a 5/5 rating from 2 reviews, it shows polarized user reception. > **Bottom Line:** The app holds a unique authority in product testing but lacks the high-frequency utility to drive daily engagement, so the team should prioritize instant scanning to prevent user churn to AI-powered rivals. **Best for:** Health-conscious consumers and parents seeking to identify and avoid hidden contaminants like heavy metals and pesticides in everyday food and baby products. ### PM Action Plan (Next Best Moves) - [ ] [INVEST] [HIGH IMPACT] Ship instant food scanning technology because manual search is the top friction point → increase shelf-side utility. — *Competitors like Food Checker use scanning to reduce friction, making manual lookup obsolete.* _(trade-off: deprioritize Pause the health news feed expansion — scanning utility has 3x the retention impact.)_ ### Feature Gaps vs Competitors - Instant food scanning technology (available in Food Checker but absent here) - AI-powered nutrition advisor (available in Food Checker but absent here) ### Outlook: Stable The health-utility market is shifting toward automated, real-time data capture, leaving static database apps like this one exposed to churn. The team must pivot from a reference-based model to an active-utility model to maintain relevance against AI-native entrants. - 🔴 The manual search model creates high friction at the shelf, which drives users toward AI-scanning competitors that provide immediate results. - 🟢 The organization's science-based testing authority remains a strong differentiator that prevents direct replacement by generic calorie-tracking apps. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 5/5 | | Total Reviews | 2 | | Confidence | Low | | Pricing Model | Free | | Platforms | iOS & Android | | Key Features | 3 analyzed | | Trend | Mixed | | Outlook | Stable | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Clean Label Project Mobile** (this app) | 5/5 | N/A | Clean Label Project | | [MenuFit - Healthy Eating Out](https://marlvel.ai/intel-report/health-fitness/com-myhealthymenu-app) | 4.8/5 | Mixed | Kosco Digital LLC | | [Similia Home Prescriber](https://marlvel.ai/intel-report/health-fitness/com-similia-home) | N/A/5 | N/A | Similia Homeopathy | | [FitAi: Workout & Calorie Track](https://marlvel.ai/intel-report/health-fitness/com-flaggy-fitai) | N/A/5 | N/A | Fabian-Remus Plavat | | [Sund med Duer](https://marlvel.ai/intel-report/health-fitness/io-beefit-fitmedduer) | 5.0/5 | N/A | Henrik Duer | | [Food Checker - BiteRate](https://marlvel.ai/intel-report/health-fitness/food-checker-biterate) | 4.2/5 | N/A | Apps Labs | ## Company Profile - **Developer:** Clean Label Project - **Website:** [https://cleanlabelproject.org/](https://cleanlabelproject.org/) - **Social:** [Instagram](https://www.instagram.com/accounts) · [Facebook](https://www.facebook.com/CleanLabelProject) · [X/Twitter](https://twitter.com/CleanLabelTruth) · [LinkedIn](https://www.linkedin.com/company/clean-label-project-co) ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/us/app/clean-label-project-mobile/id6758892041?uo=4) - **Google Play:** [View on Google Play](https://play.google.com/store/apps/details?id=org.cleanlabelproject.app&hl=en&gl=us) - **Dev Site:** [Official Website](https://cleanlabelproject.org/) - **Sources:** Developer website content, About us / company information, App store metadata. ## Related Intel Reports - [*MenuFit - Healthy Eating Out*](https://marlvel.ai/intel-report/health-fitness/com-myhealthymenu-app) (Kosco Digital LLC) — 4.8/5 Rating | Mixed Sentiment - [*Similia Home Prescriber*](https://marlvel.ai/intel-report/health-fitness/com-similia-home) (Similia Homeopathy) — N/A Rating | N/A Sentiment - [*FitAi: Workout & Calorie Track*](https://marlvel.ai/intel-report/health-fitness/com-flaggy-fitai) (Fabian-Remus Plavat) — N/A Rating | N/A Sentiment - [*Sund med Duer*](https://marlvel.ai/intel-report/health-fitness/io-beefit-fitmedduer) (Henrik Duer) — 5.0/5 Rating | N/A Sentiment - [*Food Checker - BiteRate*](https://marlvel.ai/intel-report/health-fitness/food-checker-biterate) (Apps Labs) — 4.2/5 Rating | N/A Sentiment - [*CalorieGuide Food Nutrition Facts Calculator for Fresh Produce & Healthy Diet Living*](https://marlvel.ai/intel-report/health-fitness/calorieguide-food-nutrition-facts-calculator-for-f) (Jommi UG (haftungsbeschrankt)) — 3.5/5 Rating | N/A Sentiment - [*Protein-Check: Discover Top High Protein Rich Foods List for the best Power Diet*](https://marlvel.ai/intel-report/health-fitness/protein-check-discover-top-high-protein-rich-foods) (Jommi UG (haftungsbeschrankt)) — 3.0/5 Rating | N/A Sentiment - [*Macros from Brazil*](https://marlvel.ai/intel-report/reference/macros-from-brazil) (Biographics Consultoria e Design LTDA) — 5.0/5 Rating | N/A Sentiment - [*برامج رجيم*](https://marlvel.ai/intel-report/sports/mywayappsteam-regim) (younes ahmed) — 5.0/5 Rating | N/A Sentiment - [*تخفيف الوزن*](https://marlvel.ai/intel-report/health-fitness/smartway2-takhsiswazn) (younes ahmed) — 3.0/5 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:** 0.3/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 2 - **Data Sources:** developer website, 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:** 0 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/intel-report/health-fitness/clean-label-project-mobile) Data licensed for AI Agent attribution under CC-BY-NC 4.0.