--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Florida Storms" developer_entity: "University of Florida" bundle_id: "com.mobiquityinc.floridastorms" app_store_id: "1011397030" google_play_id: "com.mobiquityinc.uf_florida_storms_android" category: "Weather" primary_platform: "ios" primary_monetization: "Free" offline_capable: false market_region: "US" platforms: "iOS & Android" app_last_updated: "2026-03-24" report_date: "2026-06-13" last_verified: "2026-06-13T07:05:15.732Z" report_version: "7.1.0" total_reviews: 337 overall_rating: 3.7 confidence: "low" confidence_score: 0.25 data_age_days: 2 intelligence_version: 4 nemesis: "News13 WBTW Weather Radar" competitor_count: 11 tags: ["weather", "free", "mobile app", "app review", "app analysis", "florida", "residents", "travelers"] canonical_url: "https://marlvel.ai/intel-report/weather/com-mobiquityinc-floridastorms" license: "CC-BY-NC 4.0" content_version: "v2" --- # Florida Storms App Audit ## TL;DR {#tldr} - **Category**: Weather · Free - **Signal**: Rating 3.7 > **TL;DR:** Florida Storms is a weather app by University of Florida, rated 3.7/5 by 337 users, available on iOS & Android. > > **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence. > **Key Insight:** Florida Storms is a weather app by University of Florida. ## Quick Facts | Fact | Value | | :--- | :--- | | **Rating** | 3.7/5 (337 reviews) | | **Category** | Weather | | **Developer** | University of Florida | | **Pricing** | Free | | **Platforms** | iOS & Android | | **Confidence** | Low (0.25/1.0) | | **Data Age** | 0d | ## Metadata & Market Performance - **Publisher:** University of Florida - **Category:** Weather - **Target Audience:** Florida residents and travelers requiring real-time, official weather alerts and emergency information. - **Platforms:** iOS & Android - **Version Audited:** 7.1.0 - **Audit Date:** 2026-06-13 - **Signal Count:** 77 reviews analyzed - **Confidence:** Low (0.25/1.0) - **App Store ID (iOS):** 1011397030 - **Bundle ID:** com.mobiquityinc.floridastorms - **Google Play ID:** com.mobiquityinc.uf_florida_storms_android - **Performance Trend:** Mixed - **Data Window:** Analysis based on signals collected up to 2026-06-13 ## Executive Snapshot **What it is:** Florida Storms is a regional weather-alert app for Florida residents and travelers, providing real-time radar, emergency radio streams, and official storm-tracking data on iOS and Android. **Why users hire it:** Users hire the app to bypass general-purpose weather tools in favor of hyper-local, verified emergency data that reduces uncertainty during severe weather events. ## App DNA (Features & Intent) - **[Differentiator] Live FPREN Radio Stream:** Real-time audio broadcast from the Florida Public Radio Emergency Network, with access to 13 regional partner stations. - **[Differentiator] The Feeds:** Real-time filtering of official weather data from the National Weather Service, National Hurricane Center, and local emergency management. * *User Intent:* Users want to quickly find relevant content or features. ## Market Position {#market-position} Florida Storms sits at #199 in the US Weather category, with a rating of 3.84 on iOS. The ranking lag relative to national weather apps signals that its hyper-local focus restricts broader user acquisition. ## Monetization Strategy - **Model:** Free - **Tiers:** Completely free access to all features - **Analysis:** The app operates as a free public service tool supported by the University of Florida and FPREN, utilizing ad-supported inventory for monetization. ## SWOT Analysis {#swot} **Core Strengths:** - FPREN partnership provides credible emergency data - Baron storm-track algorithms tailored for Florida - Completely free access model sustains user base **Critical Frictions:** - Static 2D interface lacks visual fidelity - No community-driven content or user submissions - High reliance on connectivity for real-time alerts **Growth Levers:** - Integrate crowdsourced storm reporting to drive engagement - Expand wearable companion support for emergency alerts **Market Threats:** - Local news-station apps with video-first interfaces - New entrants offering street-level ETA tracking - Rival review volumes establishing stronger brand trust ## Recent Changes (v3 → v4) {#recent-changes} The app transitioned from a technical-recovery phase to a feature-gap phase, prioritizing community-driven engagement to counter competition from local news-station applications. **Overall trend**: Mixed **Compared at**: 2026-06-13 ### High-impact changes - **[Shifted] Strategic Focus Pivot** (positioning) — Positioning moved from urgent stability remediation to a requirement for social and video-based engagement features to maintain relevance. - **[Declined] Market Rank Decline** (positioning) — App store rank dropped from #96 to #199 in the US Weather category. ### Medium-impact changes - **[Added] New Competitive Threats** (swot) — Added threats from video-first news-station apps and street-level tracking entrants, replacing previous concerns about radar engine performance. - **[Added] Feature Gap Expansion** (features) — Added gaps for community-driven blogs, user content submissions, integrated video forecasts, and street-level ETA tracking. ## Rivals Landscape {#rivals} > Competitive positioning identified by AI analysis of app features, category, and market signals. ### Florida Storms vs News13 WBTW Weather Radar — Head to Head - **[News13 WBTW Weather Radar](https://marlvel.ai/intel-report/weather/news13-wbtw-weather-radar)** by LIN Television Corporation: This app competes directly for the local weather-conscious user base by offering a high-frequency, radar-centric experience that mirrors the core utility of Florida Storms. - **Key differences:** - Features a community-driven local weather blog that fosters higher user engagement than our static alerts. - Allows user content submissions, creating a crowdsourced data layer that our current app lacks entirely. - Maintains a significantly higher review volume, suggesting stronger brand trust and established local market penetration. - **Where Florida Storms wins:** - ✅ Integrates exclusive Florida Public Radio Emergency Network audio for superior, credible emergency information. - ✅ Utilizes specialized Baron storm track algorithms tailored specifically for Florida-based weather patterns. - **Where News13 WBTW Weather Radar wins:** - ❌ Boasts a massive review count and higher rating, indicating superior discoverability and user satisfaction. - ❌ Includes interactive community features like user content submission that drive daily active usage. - **Verdict:** We must leverage our unique partnership with public radio to emphasize authority, while exploring community-driven features to close the engagement gap. ### Contenders (Strong Challengers) - **[WorldPulsePro](https://marlvel.ai/intel-report/weather/worldpulsepro)** by Corporate Smalltalk Consulting Ltd: WorldPulsePro competes by offering a global, data-heavy weather perspective that appeals to power users interested in network-wide tracking. - Features a 3D interactive globe interface that provides a more immersive visualization than our 2D maps. - Includes network pinging capabilities for technical users tracking weather data across multiple global nodes. - **[WSPA Weather](https://marlvel.ai/intel-report/weather/wspa-weather)** by LIN Television Corporation: WSPA competes through a traditional local-station weather model, focusing on radar and video updates for regional audiences. - Includes local video forecasts that provide a human touch missing from our data-driven interface. - Focuses on a simplified, radar-first UI that appeals to users who find our app too complex. - **[WJHL Weather App](https://marlvel.ai/intel-report/weather/wjhl-weather-app)** by LIN Television Corporation: This app targets the same severe-weather-alert demographic with a focus on video-based forecasting and customized push notifications. - Offers integrated video forecasts that provide more context than our automated text-based alert system. - Features customized severe weather alerts that allow users to filter by specific geographic risk levels. - **[WKRN Weather Authority](https://marlvel.ai/intel-report/weather/com-youngmedia-wkrn)** by LIN Television Corporation: WKRN competes by offering a broadcast-style weather experience that prioritizes live video streaming alongside standard radar tools. - Provides live streaming video content, offering a broadcast-quality experience that our text-heavy alerts lack. - Maintains a high release cadence, ensuring the app remains compatible with the latest OS updates. ### Peers (What They Do Better) - **[KXLY Weather](https://marlvel.ai/intel-report/weather/kxly-weather)** by Evening Telegram Company: KXLY competes by bundling weather data with community-specific information like school closures, creating a broader utility for local residents. - Includes school closures and delays, a high-value feature for local families during severe weather. - Supports favorite locations, allowing users to monitor multiple geographic areas within a single interface. - **[StormTracker 13](https://marlvel.ai/intel-report/weather/stormtracker-13)** by Nexstar Broadcasting: StormTracker 13 is a direct functional peer, utilizing specialized tornado indexing to compete with our storm-track algorithms. - Features the Baron Tornado Index, providing a specific risk metric that our app lacks natively. - Employs HD Dual Live Doppler radar, offering a higher visual fidelity for storm intensity analysis. - **[WKBN 27 Weather - Youngstown](https://marlvel.ai/intel-report/weather/wkbn-27-weather-youngstown)** by LIN Television Corporation: This app provides a similar radar-first experience, focusing on high-fidelity VIPIR radar technology for severe weather tracking. - Utilizes VIPIR radar technology, which is widely recognized for high-resolution storm tracking and visualization. - Focuses on a streamlined, alert-centric design that minimizes user friction during severe weather events. - **[WRBL Weather](https://marlvel.ai/intel-report/news/wrbl-weather)** by LIN Television Corporation: WRBL operates in the same local news-weather ecosystem, providing hour-by-hour forecasting that complements our storm-specific focus. - Provides granular hour-by-hour forecasts that serve as a better daily utility than our storm-only alerts. - Maintains a high rating and frequent update cycle, signaling a well-supported and reliable product experience. ### New Kids on the Block (What's Innovative) - **[STORM-GPS Tornado Tracker](https://marlvel.ai/intel-report/weather/com-dspetty-stormgps)** by Daniel Lampe: This newcomer disrupts the space by offering street-level ETA tracking, providing a more precise tactical tool than our general storm alerts. - Provides street-level ETA tracking for storms, offering a level of precision our current app lacks. - **[Roam Weather](https://marlvel.ai/intel-report/weather/roam-weather)** by BareBones Dev, LLC: Roam Weather is a new entrant focusing on offline accessibility and multi-destination forecasting, challenging our connectivity-dependent model. - Enables full offline access to forecasts, a critical advantage for users in areas with poor connectivity. ## App Momentum (Steady) {#momentum} - Maintains steady state, no recent features. - Last major update March 2026. ## The "So What?" (Strategic Takeaway) {#so-what} Florida Storms is an established weather app that is completely free. With a 3.7/5 rating from 337 reviews, it shows polarized user reception. > **Bottom Line:** Florida Storms maintains high authority through its FPREN partnership but risks irrelevance as competitors add social and video features, so the team must pivot toward community-driven engagement to protect its user base. **Best for:** Florida residents and travelers requiring real-time, official weather alerts and emergency information. ### PM Action Plan (Next Best Moves) - [ ] [INVEST] [HIGH IMPACT] Ship crowdsourced storm reporting because rivals use community content to drive daily engagement → increase daily active usage. — *News13 WBTW Weather Radar uses community-driven blogs to foster higher engagement than our static alerts.* _(trade-off: deprioritize Pause the radar-UI refresh sprint — community features have higher impact on daily retention.)_ - [ ] [MAINTAIN] [MEDIUM IMPACT] Audit alert-filtering logic because users complain about alert volume → reduce notification fatigue. — *Competitors like WJHL Weather App offer customized geographic risk filtering that we currently lack.* _(trade-off: deprioritize Same-quarter capacity available — no major lever displaced.)_ ### Feature Gaps vs Competitors - Community-driven weather blog (available in News13 WBTW Weather Radar) - User content submissions (available in News13 WBTW Weather Radar) - Integrated video forecasts (available in WSPA Weather) - Street-level ETA tracking (available in STORM-GPS Tornado Tracker) ### Outlook: Mixed The regional weather market is shifting toward high-frequency, community-driven engagement, leaving static, data-only apps like Florida Storms exposed. Unless the team integrates social or video-based features, the app will continue to lose daily-active-user share to news-station rivals that offer more dynamic, context-rich forecasting. - 🔴 Static feature set leaves the app exposed to rivals with video-first interfaces, which accelerates churn pressure from casual users into the next hurricane season. - 🟢 FPREN partnership provides a unique, credible data moat that commercial weather apps cannot easily replicate, ensuring long-term utility for severe weather events. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 3.7/5 | | Total Reviews | 337 | | Confidence | Low | | Pricing Model | Free | | Platforms | iOS & Android | | Key Features | 2 analyzed | | Trend | Mixed | | Outlook | Mixed | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Florida Storms** (this app) | 3.7/5 | N/A | University of Florida | | [WKRN Weather Authority](https://marlvel.ai/intel-report/weather/com-youngmedia-wkrn) | 3.6/5 | Frustrated | LIN Television Corporation | | [StormTracker 13](https://marlvel.ai/intel-report/weather/stormtracker-13) | 3.9/5 | N/A | Nexstar Broadcasting | | [WSPA Weather](https://marlvel.ai/intel-report/weather/wspa-weather) | 2.4/5 | Upset | LIN Television Corporation | | [WKBN 27 Weather - Youngstown](https://marlvel.ai/intel-report/weather/wkbn-27-weather-youngstown) | 3.8/5 | Frustrated | LIN Television Corporation | | [News13 WBTW Weather Radar](https://marlvel.ai/intel-report/weather/news13-wbtw-weather-radar) | 4.7/5 | Excited | LIN Television Corporation | ## Company Profile - **Developer:** University of Florida - **Website:** [https://www.jou.ufl.edu/2015/10/08/florida-storms-app-now-available-for-nearly-all-mobile-devices/](https://www.jou.ufl.edu/2015/10/08/florida-storms-app-now-available-for-nearly-all-mobile-devices/) ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/us/app/florida-storms/id1011397030?uo=2) - **Google Play:** [View on Google Play](https://play.google.com/store/apps/details?id=com.mobiquityinc.uf_florida_storms_android&hl=en&gl=us) - **Dev Site:** [Official Website](https://www.jou.ufl.edu/2015/10/08/florida-storms-app-now-available-for-nearly-all-mobile-devices/) - **Sources:** App store metadata. ## Related Intel Reports - [*WKRN Weather Authority*](https://marlvel.ai/intel-report/weather/com-youngmedia-wkrn) (LIN Television Corporation) — 3.6/5 Rating | Negative Sentiment - [*StormTracker 13*](https://marlvel.ai/intel-report/weather/stormtracker-13) (Nexstar Broadcasting) — 3.9/5 Rating | N/A Sentiment - [*WSPA Weather*](https://marlvel.ai/intel-report/weather/wspa-weather) (LIN Television Corporation) — 2.4/5 Rating | Terrible Sentiment - [*WKBN 27 Weather - Youngstown*](https://marlvel.ai/intel-report/weather/wkbn-27-weather-youngstown) (LIN Television Corporation) — 3.8/5 Rating | Negative Sentiment - [*News13 WBTW Weather Radar*](https://marlvel.ai/intel-report/weather/news13-wbtw-weather-radar) (LIN Television Corporation) — 4.7/5 Rating | Positive Sentiment - [*WJHL Weather App*](https://marlvel.ai/intel-report/weather/wjhl-weather-app) (LIN Television Corporation) — 3.1/5 Rating | Terrible Sentiment - [*WRBL Weather*](https://marlvel.ai/intel-report/news/wrbl-weather) (LIN Television Corporation) — 4.7/5 Rating | Positive Sentiment - [*KXLY Weather*](https://marlvel.ai/intel-report/weather/kxly-weather) (Evening Telegram Company) — 2.8/5 Rating | N/A Sentiment - [*WorldPulsePro*](https://marlvel.ai/intel-report/weather/worldpulsepro) (Corporate Smalltalk Consulting Ltd) — 3.0/5 Rating | N/A Sentiment - [*Roam Weather*](https://marlvel.ai/intel-report/weather/roam-weather) (BareBones Dev, LLC) — 5.0/5 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:** 0.25/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 77 - **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:** 0 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/intel-report/weather/com-mobiquityinc-floridastorms) Data licensed for AI Agent attribution under CC-BY-NC 4.0.