--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Daily Dress Me - what to wear" developer_entity: "Daily Dress Me" bundle_id: "com.dailydressme.DailyDressMe" app_store_id: "6447927117" google_play_id: "com.masterproject.dressme" category: "Weather" primary_platform: "ios" primary_monetization: "Free" offline_capable: false market_region: "US" platforms: "iOS & Android" app_last_updated: "2025-11-07" report_date: "2026-05-19" last_verified: "2026-05-19T21:41:35.469Z" report_version: "1.3" total_reviews: 28 overall_rating: 4.3 confidence: "low" confidence_score: 0.25 data_age_days: 58 intelligence_version: 2 tags: ["weather", "free", "mobile app", "app review", "app analysis", "individuals", "seeking", "streamline"] canonical_url: "https://marlvel.ai/apps/com-dailydressme-dailydressme" license: "CC-BY-NC 4.0" content_version: "v2" --- # Daily Dress Me - what to wear App Audit ## TL;DR {#tldr} - **Category**: Weather · Free - **Signal**: Rating 4.32 > **TL;DR:** Daily Dress Me - what to wear is a weather app by Daily Dress Me, rated 4.32/5 by 28 users, available on iOS & Android. > > **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence. > **Key Insight:** Daily Dress Me - what to wear is a weather app by Daily Dress Me. ## Quick Facts | Fact | Value | | :--- | :--- | | **Rating** | 4.32/5 (28 reviews) | | **Category** | Weather | | **Developer** | Daily Dress Me | | **Pricing** | Free | | **Platforms** | iOS & Android | | **Confidence** | Low (0.25/1.0) | | **Data Age** | 58d | ## Metadata & Market Performance - **Publisher:** Daily Dress Me - **Category:** Weather - **Target Audience:** Individuals seeking to streamline their daily wardrobe choices and travel packing based on local weather conditions. - **Platforms:** iOS & Android - **Version Audited:** 1.3 - **Audit Date:** 2026-05-19 - **Signal Count:** 5 reviews analyzed - **Confidence:** Low (0.25/1.0) - **App Store ID (iOS):** 6447927117 - **Bundle ID:** com.dailydressme.DailyDressMe - **Google Play ID:** com.masterproject.dressme - **Data Window:** Analysis based on signals collected up to 2026-05-19 ## Executive Snapshot Daily Dress Me is a weather-integrated outfit planning app that provides daily clothing recommendations based on local meteorological conditions. It aims to simplify morning routines and assist with travel packing by suggesting outfits tailored to specific weather forecasts. ## App DNA (Features & Intent) - **[Standard] Weather-Based Recommendations:** Analyzes local weather data to provide outfit suggestions suitable for current conditions. * *User Intent:* Users seek enhanced value through premium features. - **[Standard] Travel Planning:** Offers outfit inspiration based on the weather forecast at a user's specific travel destination. - **[Standard] Routine Optimization:** Designed to reduce decision fatigue by providing curated outfit combinations for daily wear. * *User Intent:* Users are motivated by consistent progression and daily incentives. ## Monetization Strategy - **Model:** Free ## The "So What?" (Strategic Takeaway) {#so-what} Daily Dress Me - what to wear is an established weather app that is completely free. With a 4.32/5 rating from 28 reviews, it shows polarized user reception. > **Bottom Line:** While users value the app's styling utility, feedback consistently highlights a demand for shoppable links and more granular style category filtering. **Best for:** Individuals seeking to streamline their daily wardrobe choices and travel packing based on local weather conditions. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 4.32/5 | | Total Reviews | 28 | | Confidence | Low | | Pricing Model | Free | | Platforms | iOS & Android | | Key Features | 3 analyzed | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Daily Dress Me - what to wear** (this app) | 4.32/5 | N/A | Daily Dress Me | | [KBZK Montana Weather](https://marlvel.ai/apps/kbzk-montana-weather) | 4.1/5 | N/A | E.W. Scripps Company | | [NightFrost](https://marlvel.ai/apps/com-maetsch-nachtfrost) | 1.0/5 | N/A | Heiko Matthias Maetsch | | [National Weather Forecast - NWS Local Forecasts on your TV!](https://marlvel.ai/apps/national-weather-forecast-nws-local-forecasts-on-y) | N/A/5 | N/A | MyndArc, LLC | | [RadarScope](https://marlvel.ai/apps/radarscope) | 4.2/5 | Mixed | Base Velocity, LLC | | [My Moon Phase - Lunar Calendar](https://marlvel.ai/apps/com-jrustonapps-my-moon-phase) | 4.8/5 | Thrilled | JRustonApps B.V. | ## Company Profile - **Developer:** Daily Dress Me - **Website:** [https://dailydressme.com/](https://dailydressme.com/) ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/lt/app/daily-dress-me-what-to-wear/id6447927117?uo=2) - **Google Play:** [View on Google Play](https://play.google.com/store/apps/details?id=com.masterproject.dressme&hl=en&gl=lt) - **Dev Site:** [Official Website](https://dailydressme.com/) - **Sources:** App store metadata, User reviews. ## Related Intel Reports - [*KBZK Montana Weather*](https://marlvel.ai/apps/kbzk-montana-weather) (E.W. Scripps Company) — 4.1/5 Rating | N/A Sentiment - [*NightFrost*](https://marlvel.ai/apps/com-maetsch-nachtfrost) (Heiko Matthias Maetsch) — 1.0/5 Rating | N/A Sentiment - [*National Weather Forecast - NWS Local Forecasts on your TV!*](https://marlvel.ai/apps/national-weather-forecast-nws-local-forecasts-on-y) (MyndArc, LLC) — N/A Rating | N/A Sentiment - [*RadarScope*](https://marlvel.ai/apps/radarscope) (Base Velocity, LLC) — 4.2/5 Rating | Mixed Sentiment - [*My Moon Phase - Lunar Calendar*](https://marlvel.ai/apps/com-jrustonapps-my-moon-phase) (JRustonApps B.V.) — 4.8/5 Rating | Excellent Sentiment - [*Hot Weather Thermometer*](https://marlvel.ai/apps/hot-weather-thermometer) (ExaMobile S.A.) — 4.8/5 Rating | N/A Sentiment - [*Ty: Storm & Tornado Tracker*](https://marlvel.ai/apps/ty-storm-tornado-tracker) (PlatePal) — 1.0/5 Rating | N/A Sentiment - [*The Fishing Forecast*](https://marlvel.ai/apps/com-the-fishing-forecast) (Roman Kadykov) — 4.8/5 Rating | N/A Sentiment - [*HeatAlert: Heat Stress Index*](https://marlvel.ai/apps/heatalert-heat-stress-index) (WeatherFlow) — 3.8/5 Rating | N/A Sentiment - [*14 days Weather*](https://marlvel.ai/apps/14-days-weather) (Tasmanic Editions) — 4.5/5 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:** 0.25/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 5 - **Data Sources:** user reviews, 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:** 58 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/com-dailydressme-dailydressme) Data licensed for AI Agent attribution under CC-BY-NC 4.0.