--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "WeatherOutfitClothes - OOTD" developer_entity: "苏 王" bundle_id: "com.suustudio.DressWeather" app_store_id: "6466640787" category: "Weather" primary_platform: "ios" primary_monetization: "Free" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2026-03-24" report_date: "2026-09-29" last_verified: "2026-09-29T00:00:00.000Z" report_version: "1.6" total_reviews: 2 overall_rating: 5 confidence: "low" confidence_score: 0.05 data_age_days: 1 momentum_velocity: "zombie" intelligence_version: 2 tags: ["weather", "free", "mobile app", "app review", "app analysis", "individuals", "seeking", "automated"] canonical_url: "https://marlvel.ai/apps/weatheroutfitclothes-ootd" license: "CC-BY-NC 4.0" content_version: "v2" --- # WeatherOutfitClothes - OOTD Intelligence Report ## TL;DR {#tldr} - **Category**: Weather · Free - **Signal**: Rating 5 > **TL;DR:** WeatherOutfitClothes - OOTD is a weather app by 苏 王, rated 5/5 by 2 users, available on iOS. > > **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence. > **Key Insight:** WeatherOutfitClothes - OOTD is a weather app by 苏 王. ## Quick Facts | Fact | Value | | :--- | :--- | | **Rating** | 5/5 (2 reviews) | | **Category** | Weather | | **Developer** | 苏 王 | | **Pricing** | Free | | **Platforms** | iOS | | **Confidence** | Low (0.05/1.0) | | **Data Age** | 1d | ## Metadata & Market Performance - **Publisher:** 苏 王 - **Category:** Weather - **Target Audience:** Individuals seeking automated daily clothing suggestions aligned with real-time local weather conditions. - **Platforms:** iOS - **Version Reviewed:** 1.6 - **Report Date:** 2026-09-29 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0.05/1.0) - **App Store ID (iOS):** 6466640787 - **Bundle ID:** com.suustudio.DressWeather - **Data Window:** Analysis based on signals collected up to 2026-09-29 ## Executive Snapshot **What it is:** WeatherOutfitClothes - OOTD is a weather-utility app that provides automated daily clothing recommendations based on local environmental conditions. **Why users hire it:** The app removes the cognitive friction of checking multiple weather variables to decide on appropriate daily attire. ## App DNA (Features & Intent) - **[Differentiator] Weather-based Outfit Recommendations:** Suggests clothing combinations based on local temperature, wind speed, and UV intensity data. - **[Standard] Home Screen Widget:** Displays weather and outfit suggestions directly on the iOS home screen. - **[Standard] Environmental Alerts:** Delivers notifications for local weather conditions and UV levels. * *User Intent:* Users want timely prompts to stay engaged without missing updates. ## Market Position {#market-position} WeatherOutfitClothes - OOTD occupies a niche utility position in the Weather category, currently maintaining a 5-star rating based on a small sample of two reviews. ## Monetization Strategy - **Model:** Free - **Tiers:** Free - **Analysis:** The app is currently distributed as a free utility without explicit subscription or IAP tiers. ## SWOT Analysis {#swot} **Core Strengths:** - Visual outfit-matching mechanism simplifies daily decision-making **Growth Levers:** - Localized styling preferences could increase recommendation accuracy ## What's New - **Latest (v1.6, 6 months ago):** Introduced a new Outfit feature and resolved a fit-related bug. ## App Momentum (Zombie) {#momentum} - Quiet 6 months, no major updates. - Last release introduced outfit customization. > **Cadence:** 1 total versions · 0 majors in last 6 months · 189 days since last update ## The "So What?" (Strategic Takeaway) {#so-what} WeatherOutfitClothes - OOTD is a weather app that is completely free. It holds a 5/5 rating from 2 reviews. > **Bottom Line:** The current utility-focused outfit recommendation model provides value, but the six-month development gap risks user attrition. Prioritizing a stability audit would clarify if the current feature set is sufficient to retain the existing user base. **Best for:** Individuals seeking automated daily clothing suggestions aligned with real-time local weather conditions. ### PM Action Plan (Next Best Moves) - [ ] [MAINTAIN] Audit user retention metrics because the six-month update gap suggests a potential churn risk → stabilize active user base ### Outlook: Stable The weather-utility market is consolidating, with larger players adding specialized features to increase daily active usage. WeatherOutfitClothes - OOTD remains in a maintenance state, which limits its ability to capture broader market share before larger rivals integrate similar styling logic. - ⚪ The six-month development gap indicates a maintenance-only cadence, which limits the ability to respond to user feedback or competitive pressure. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 5/5 | | Total Reviews | 2 | | Confidence | Low | | Pricing Model | Free | | Platforms | iOS | | Key Features | 3 analyzed | | Outlook | Stable | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **WeatherOutfitClothes - OOTD** (this app) | 5/5 | N/A | 苏 王 | | [Bauernkalender](https://marlvel.ai/apps/ch-swift-bauernkalender) | N/A/5 | N/A | Swift Management AG | | [Forecast & What to Wear](https://marlvel.ai/apps/com-appsforparents-weatherforkids) | 4.2/5 | N/A | Natalia Jakubczyk-Gajewska | | [Highways & Hailstones](https://marlvel.ai/apps/highways-hailstones) | 4.1/5 | Mixed | MLU CoLab Inc. | | [Weather&Clothes](https://marlvel.ai/apps/com-air-weather_and_clothes) | 2.7/5 | N/A | fk.system | | [처음날씨 - 잠금화면 및 알람으로 오늘의 날씨를!](https://marlvel.ai/apps/com-woozuda-weather) | 4.2/5 | N/A | WOOZUDA | ## Company Profile - **Developer:** 苏 王 ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/us/app/weatheroutfitclothes-ootd/id6466640787?uo=4) - **Sources:** App store metadata. ## Related Intel Reports - [*Bauernkalender*](https://marlvel.ai/apps/ch-swift-bauernkalender) (Swift Management AG) · N/A Rating - [*Forecast & What to Wear*](https://marlvel.ai/apps/com-appsforparents-weatherforkids) (Natalia Jakubczyk-Gajewska) · 4.2/5 Rating - [*Highways & Hailstones*](https://marlvel.ai/apps/highways-hailstones) (MLU CoLab Inc.) · 4.1/5 Rating - [*Weather&Clothes*](https://marlvel.ai/apps/com-air-weather_and_clothes) (fk.system) · 2.7/5 Rating - [*처음날씨 - 잠금화면 및 알람으로 오늘의 날씨를!*](https://marlvel.ai/apps/com-woozuda-weather) (WOOZUDA) · 4.2/5 Rating - [*미세미세 - 미세먼지, 초미세먼지, 날씨*](https://marlvel.ai/apps/cheehoon-ha-particulateforecaster-particulateforecaster) (LifeOverflow Inc.) · 4.8/5 Rating | Positive Sentiment - [*너의날씨: 미세먼지, 지도, 레이더, 캐릭터, 위젯*](https://marlvel.ai/apps/kr-guzi-yourweather) (구지랩(GuziLab)) · 5.0/5 Rating - [*ชายฝั่ง รู้ทันระดับน้ำ*](https://marlvel.ai/apps/hii-pttep-chaifang-mobile) (Hydro Informatics Institute) · 4.9/5 Rating - [*ภัยพิบัติไทย*](https://marlvel.ai/apps/biz-harmoniz-earthquake_alert_thai) (Harmoniz InterSoftware) · N/A Rating - [*13abc First Alert Weather*](https://marlvel.ai/apps/com-gray-wtvg-13abc-weather) (Gray Television Group, Inc.) · 4.6/5 Rating ## Frequently Asked Questions {#faq} ### Is WeatherOutfitClothes - OOTD free to use? Yes, WeatherOutfitClothes - OOTD is currently distributed as a free utility without any subscription or in-app purchase tiers. ### Does WeatherOutfitClothes - OOTD work for my local weather? Yes, the app automatically obtains local weather conditions to provide relevant clothing recommendations based on your area. ### What kind of weather data does the app use? The app uses temperature, wind speed, and UV intensity data to generate its outfit suggestions. ## 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:** 1 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/weatheroutfitclothes-ootd) Data licensed for AI Agent attribution under CC-BY-NC 4.0.