Report updated May 5, 2026
WhatColors: AI Color Analysis
For style enthusiasts and shoppers seeking automated guidance on color palettes for wardrobe and makeup choices.
WhatColors: AI Color Analysis is a struggling beauty app that is free with in-app purchases. With a 3.1/5 rating from 5.3K reviews, it struggles with user retention. Users particularly appreciate simple and fun core concept provides immediate entertainment for casual users, though aggressive monetization walls prevent any meaningful interaction with the core features remains a common concern.
What is WhatColors: AI Color Analysis?
WhatColors is a mobile AI styling app that provides seasonal color analysis and wardrobe organization tools for fashion enthusiasts.
Users hire the app to automate the identification of flattering color palettes, aiming to reduce shopping uncertainty and organize their existing wardrobe.
Current Momentum
v2.1 · 3w ago
Maintenance- No notable signals last 3 months
Active Nemesis
Style DNA: AI Color Analysis
By AI Style by DNA S.L.
Other Rivals
7-Day Rank Pulse 🇺🇸
BeautyNo ranking data
Rating Pulse 🇺🇸
Recent User Mood
What makes this app unique?
What Does It Look Like?
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What Are The Key Features?
Camera-based detection of skin tone, hair, and eye color to generate seasonal palettes
Digital workspace for planning looks and organizing wardrobe items
Inventory management system for tagging colors and saving favorite garments
Advanced analysis and unlimited scans for professional-grade color insights
How much does it cost?
- Free tier with basic color detection
- Premium tier with unlimited scans and advanced styling tools
Freemium model uses feature gating on scan volume and analysis depth to drive subscription conversion.
Who Built It?
Quiet
Empowering users to achieve behavioral change and device optimization through gamified wellness apps and high-utility mobile tools.
Portfolio
13
Apps
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Explore the full Quiet report
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What do users think recently?
High confidence · 54 reviews analyzed · Based on 54 reviews. Signal may be noisy.
What is the recent mood?
Recent user voice shows a upset sentiment. Users appreciate simple and fun core concept provides immediate entertainment for casual users, but report aggressive monetization walls prevent any meaningful interaction with the core features and forced rating prompts before initial use create a negative first impression.
What Users Love
What Frustrates Users
View the full user-sentiment analysis
Mood gauge, ratings & review-volume history, every praise / complaint / request, and sentiment over time.
What is the competitive landscape for WhatColors: AI Color Analysis?
How's The Beauty Market?
How does it evolve in the Beauty market?
The app maintains a 3.07 rating on Android, signaling significant friction in the user experience that limits its ability to compete with more established styling tools.
Rank progression
151 active rankings tracked — 30-day window
The rivals identified
Nemeses(1)
This app is the most direct competitor, sharing the exact 'AI seasonal color analysis' niche with a high-velocity release cadence.
Differentiators
- Offers comprehensive AI-driven seasonal color analysis with specific undertone insights for skin and hair.
- Maintains a high-frequency update schedule with seven releases in the last six months alone.
- Positions itself as a specialized personal stylist rather than a general wardrobe management tool.
Head to head
The target app must prioritize AI accuracy and feature depth to compete with Style DNA's established authority in the color analysis space.
Contenders(2)
A direct thematic competitor that provides a dedicated platform for seasonal color analysis.
Differentiators
- Provides a dedicated, simplified workflow for users who find complex wardrobe apps overwhelming.
- Targets the specific 'color analysis' search intent with a clean, focused user interface.
A highly specialized niche rival that focuses exclusively on color palettes, maintaining high user satisfaction.
Differentiators
- Focuses purely on color palette accuracy without the distraction of broader wardrobe management features.
- Leverages a strong, singular brand identity centered on the 'colorwise' methodology for seasonal analysis.
Same space(4)
An adjacent tool that captures the 'face scan' and 'beauty' intent of the target audience.
Differentiators
- Dominates the photo editing market with high-end AI filters that users often use for color testing.
- Provides professional-grade editing tools that far exceed the capabilities of simple color analysis apps.
An established wardrobe planner that offers AI-driven outfit suggestions as a core value proposition.
Differentiators
- Utilizes a long-standing database of user-generated outfit combinations to power its AI suggestions.
- Provides cross-platform accessibility that supports power users managing large, complex digital wardrobes.
A major player in the digital wardrobe space that competes for the user's daily fashion attention.
Differentiators
- Builds a strong community-driven network effect through social sharing and digital wardrobe curation.
- Offers a comprehensive 'closet-to-outfit' ecosystem that keeps users engaged through daily planning features.
A broader wardrobe management app that overlaps with the target's secondary goal of outfit organization.
Differentiators
- Features a robust digital closet inventory system that scales better for long-term wardrobe management.
- Includes advanced outfit planning tools that go beyond simple color matching to suggest daily looks.
Compare WhatColors: AI Color Analysis against every rival
All rivals in one side-by-side table — identity, store metrics, ratings & sentiment, and strategic intel — plus a head-to-head page for each.
The outtake for WhatColors: AI Color Analysis
Strengths to defend, gaps to attack
Core Strengths
- Camera-based color detection provides immediate low-friction entry
- Digital closet inventory creates long-term switching costs
Critical Frictions
- 3.07 rating on Android indicates high user frustration
- Aggressive paywalls block core feature testing
- Technical instability causes freezing on start screen
Growth Levers
- Implement limited-scan free trial to build trust
- Introduce social sharing features to leverage growth
Market Threats
- Style DNA's high-velocity release cadence outpaces development
- Established wardrobe apps offer superior inventory management
What are the next best moves?
Pivot monetization to a limited-scan free trial because paywalls are the top complaint → reduce churn
Sentiment data identifies aggressive monetization as the primary driver of negative reviews.
Trade-off: Pause the development of new moodboard templates — trial conversion has 5x the revenue impact.
Audit start-screen initialization logic because technical freezing is a top-3 complaint → improve retention
User reports confirm the app freezes immediately upon launch, preventing all core utility.
Trade-off: Deprioritize the Android UI refresh — stability is a prerequisite for any feature usage.
A counter-intuitive read
The app's biggest risk is not its competitors, but its own monetization strategy, which effectively turns a potential user base into a group of vocal detractors.
Feature Gaps vs Competitors
- Advanced AI-driven seasonal color classification (available in Style DNA but missing here)
- Community-driven wardrobe curation (available in Whering but missing here)
Key Takeaways
- The current monetization strategy is a primary churn driver that must be pivoted to a trial-based model.
- Technical stability on the start screen is a critical blocker for new user acquisition.
- Competitive pressure from high-velocity rivals necessitates a shift toward feature depth over aggressive gating.
The app fails to convert users because of aggressive paywalls and technical instability, so the PM must prioritize a free-trial model to demonstrate value before asking for payment.
Where Is It Heading?
Declining
The personal styling market is consolidating around apps that offer transparent, trial-based access to AI analysis. WhatColors is currently exposed due to its restrictive paywall and technical instability, which will continue to erode its rating and market share unless the onboarding funnel is rebuilt to prioritize user trust.
Technical instability on the start screen prevents user progress, which directly suppresses the conversion rate and damages brand trust.
Aggressive monetization walls alienate new users before they experience the core value, leading to a high volume of negative reviews.