--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Herd" developer_entity: "Herd Music, Inc" bundle_id: "com.herdmusicinc.herd" app_store_id: "6745197002" google_play_id: "com.saavi.theHerd" category: "Music" primary_platform: "ios" primary_monetization: "Free" offline_capable: false market_region: "US" platforms: "iOS & Android" app_last_updated: "2026-04-16" report_date: "2026-06-11" last_verified: "2026-06-11T07:40:42.062Z" report_version: "7.8.0" total_reviews: 20 overall_rating: 4.8 sentiment: "Thrilled" sentiment_score: 90 confidence: "low" confidence_score: 0.5 top_praise_theme: "Social discovery features allow users to track friend listening habits and find new music" top_complaint_theme: "Scrolling limitations on specific screens prevent users from completing long-form music reviews" review_sample_size: 11 total_review_count: 11 analyzed_review_count: 11 data_age_days: 20 momentum_velocity: "maintenance" intelligence_version: 4 nemesis: "PlayTally: Apple Music Stats" competitor_count: 4 tags: ["music", "free", "thrilled sentiment", "mobile app", "app review", "app analysis", "music", "enthusiasts", "prioritize"] canonical_url: "https://marlvel.ai/intel-report/music/herd" license: "CC-BY-NC 4.0" content_version: "v2" --- # Herd App Audit ## TL;DR {#tldr} - **Category**: Music Β· Free - **Signal**: Rating 4.8 Β· Sentiment Thrilled - **Recent focus**: Scrolling limitations on specific screens prevent users from completing long-form music reviews (top complaint) Β· Social discovery features allow users to track friend listening habits and find new music (top praise) > **TL;DR:** Herd is a music app by Herd Music, Inc, rated 4.8/5 by 20 users, with Thrilled user sentiment (90/100), available on iOS & Android. > > **Marlvel.ai App Intelligence** β€” Independent analysis. US Market. No publisher influence. > **Key Insight:** Herd maintains Thrilled user sentiment (4.8/5 from 20 reviews), with users consistently praising social discovery features allow users to track friend listening habits and find new music. ## Quick Facts | Fact | Value | | :--- | :--- | | **Rating** | 4.8/5 (20 reviews) | | **User Mood** | Thrilled | | **Category** | Music | | **Developer** | Herd Music, Inc | | **Pricing** | Free | | **Platforms** | iOS & Android | | **Confidence** | Low (0.5/1.0) | | **Data Age** | 0d | ## Metadata & Market Performance - **Publisher:** Herd Music, Inc - **Category:** Music - **Target Audience:** Music enthusiasts who prioritize manual curation and social sharing over algorithmic recommendations. - **Platforms:** iOS & Android - **Version Audited:** 7.8.0 - **Audit Date:** 2026-06-11 - **Signal Count:** 11 reviews analyzed - **Confidence:** Low (0.5/1.0) - **App Store ID (iOS):** 6745197002 - **Bundle ID:** com.herdmusicinc.herd - **Google Play ID:** com.saavi.theHerd - **Performance Trend:** Mixed - **Data Window:** Analysis based on signals collected up to 2026-06-11 ## Executive Snapshot **What it is:** Herd is a music curation app for iOS and Android that allows users to rank songs and write reviews. **Why users hire it:** Users hire Herd to build a personal, intentional archive of music memories that streaming algorithms ignore. ## App DNA (Features & Intent) - **[Differentiator] Head-to-head Rating:** Binary comparison of songs to generate ranked lists of favorites * *User Intent:* Users are driven by competitive achievement and recognition. - **[Standard] Streaming Platform Integration:** Import and export playlists between Herd and external streaming services - **[Differentiator] Song Discovery:** Manual discovery of tracks via community and friend activity rather than automated algorithms * *User Intent:* Users seek social connection and competitive engagement with peers. - **[Differentiator] Journaling:** Text-based reviews for lyrics, memories, and thoughts attached to specific songs ## Market Position {#market-position} Herd operates as a niche music utility, maintaining a 4.8 rating on iOS. The lack of Android traction compared to the iOS release indicates a significant distribution gap in the music-tracking segment. ## Monetization Strategy - **Model:** Free - **Tiers:** Free access to all core features - **Analysis:** The app currently operates as a free, ad-free utility without visible monetization gates or subscription tiers. ## 🟒 User Sentiment (Low Confidence: 11 of 11 reviews analyzed) {#user-sentiment} - **Overall Rating:** 4.8/5 - **Platform Split:** iOS 4.8/5 (20 ratings) - **Overall Sentiment:** Thrilled ### Top Praises - **Social discovery features allow users to track friend listening habits and find new music** - **Intentional music exploration design encourages deep listening rather than passive algorithmic consumption** - **Gamified ranking mechanics make the process of reviewing and sharing music highly enjoyable** ### Top Complaints (Impact Areas) - **Scrolling limitations on specific screens prevent users from completing long-form music reviews** ## SWOT Analysis {#swot} **Core Strengths:** - Social discovery features tie engagement to peer interaction - Manual curation creates unique user-generated content that increases switching costs **Critical Frictions:** - Scrolling bug on review screens blocks content submission - Manual-only input model creates high friction compared to automated trackers **Growth Levers:** - Integration of concert data bridges the gap between song rating and live engagement - B2B partnerships with independent labels for artist-led curation **Market Threats:** - Automated stats-trackers siphon users who want insights without manual effort - High-velocity updates from stats.fm accelerate viral growth ## Recent Changes (v3 β†’ v4) {#recent-changes} The report identifies a new critical scrolling bug impacting review completion and a shift in the contrarian perspective regarding the app's manual-input model. **Overall trend**: Mixed **Compared at**: 2026-06-11 ### High-impact changes - **[Added] Emergence of critical scrolling bug** (sentiment) β€” New complaint identified: scrolling limitations on review screens prevent content submission, now cited as the #1 user complaint. - **[Shifted] Contrarian take on manual input** (positioning) β€” Shifted from 'lack of monetization is a weakness' to 'manual-input model is a deliberate filter for high-intent users'. ### Medium-impact changes - **[Improved] Streaming integration classification** (features) β€” Streaming platform integration moved from a feature gap to a 'standard' feature in the key features list. - **[Added] Sentiment score and rating** (sentiment) β€” Sentiment data added: 4.8 rating with a 90/100 sentiment score. ## Rivals Landscape {#rivals} > Competitive positioning identified by AI analysis of app features, category, and market signals. ### Herd vs PlayTally: Apple Music Stats β€” Head to Head - **[PlayTally: Apple Music Stats](https://marlvel.ai/intel-report/music/com-michaelclay-backtracks)** by Mike Clay: Dominates the music tracking niche with massive user-generated data and deep integration with Apple Music listening history. - **Key differences:** - Provides deep, automated analytical insights into listening habits that Herd’s manual rating system cannot replicate. - Leverages direct Apple Music API integration to track every play without requiring manual user input. ### Contenders (Strong Challengers) - **[Discogs](https://marlvel.ai/intel-report/music/com-discogs-app)** by Zink Media LLC: The industry standard for music cataloging and collection management, serving the same 'digital home for music' intent. - Maintains a massive, community-verified database of physical media that serves as the definitive source for collectors. - Offers a robust marketplace feature that facilitates the buying and selling of physical records within the app. ### Peers (What They Do Better) - **[Bandsintown Concerts](https://marlvel.ai/intel-report/music/com-bandsintown-bit)** by Bandsintown Inc.: Focuses on the live music experience and artist discovery, serving as a complementary utility for music enthusiasts. - Aggregates global tour data to provide personalized concert alerts based on the user's specific music library. - Connects fans directly to artists through event notifications, shifting the focus from song rating to live engagement. ### New Kids on the Block (What's Innovative) - **[stats.fm for Spotify Music App](https://marlvel.ai/intel-report/music/stats-fm-for-spotify-music-app)** by StatsFM B.V.: Shows aggressive growth and high release velocity, targeting the same demographic interested in music statistics and discovery. - Implements high-frequency feature updates that rapidly respond to user requests for new data visualizations and stats. - Focuses on social sharing of 'wrapped-style' listening summaries that drive viral growth and user acquisition. ## What's New - **Latest (v7.8.0, 4 weeks ago):** Introduced 'Dig' for song discovery, cross-platform playlist import/export, and new Top Albums/Artists tracking. Redesigned profile, journal, and entity pages for improved UI. ## App Momentum (Maintenance) {#momentum} - Shipped manual song discovery swipe interface. - Integrated external streaming playlist import/export. - Redesigned profile and song page layouts. > **Cadence:** 2 total versions Β· 1 majors in last 6 months Β· 28 days since last update Β· 92 days avg between updates ## The "So What?" (Strategic Takeaway) {#so-what} Herd is a market-leading music app that is completely free. With a 4.8/5 rating from 20 reviews, it delivers strong user satisfaction. > **Bottom Line:** Herd builds strong retention through intentional curation, but the manual-input barrier limits its scale against automated rivals, so the PM should prioritize automation of library imports to reduce user friction. **Best for:** Music enthusiasts who prioritize manual curation and social sharing over algorithmic recommendations. ### PM Action Plan (Next Best Moves) - [ ] [INVEST] [HIGH IMPACT] Fix scrolling bug on review screens because user complaints block content submission β†’ increase review completion rate β€” *Scrolling limitations are the #1 complaint in user reviews.* _(trade-off: deprioritize Pause the profile page redesign sprint β€” fixing the submission funnel is higher priority for retention.)_ - [ ] [PIVOT] [HIGH IMPACT] Build automated import for listening history because manual input is the top friction point β†’ increase new-user conversion β€” *Manual input is the primary barrier identified in competitor analysis vs PlayTally.* _(trade-off: deprioritize Deprioritize the manual discovery swipe feature expansion β€” automation is a higher-leverage acquisition tool.)_ ### Feature Gaps vs Competitors - Automated listening history tracking (available in PlayTally but missing here) - Real-time concert alerts (available in Bandsintown but missing here) ### Outlook: Stable The music-tracking market is consolidating around automated data-viz tools, leaving manual-curation apps like Herd exposed to churn from users who prefer passive insights. Herd must bridge the gap between manual intentionality and automated convenience to maintain its position against high-velocity competitors. - πŸ”΄ The persistent scrolling bug on review screens blocks user content creation, which directly limits the growth of the app's unique review database. - 🟒 The recent addition of playlist import functionality lowers the barrier to entry, which should improve new-user retention by reducing the time to first value. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 4.8/5 | | Total Reviews | 20 | | Sentiment | Thrilled (90/100) | | Confidence | Low | | Pricing Model | Free | | Platforms | iOS & Android | | Key Features | 4 analyzed | | Trend | Mixed | | Outlook | Stable | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Herd** (this app) | 4.8/5 | Thrilled | Herd Music, Inc | | [Bandsintown Concerts](https://marlvel.ai/intel-report/music/com-bandsintown-bit) | 4.7/5 | N/A | Bandsintown Inc. | | [PlayTally: Apple Music Stats](https://marlvel.ai/intel-report/music/com-michaelclay-backtracks) | 4.6/5 | Mixed | Mike Clay | | [stats.fm for Spotify Music App](https://marlvel.ai/intel-report/music/stats-fm-for-spotify-music-app) | 4.6/5 | Frustrated | StatsFM B.V. | | [Discogs](https://marlvel.ai/intel-report/music/com-discogs-app) | 4.8/5 | N/A | Zink Media LLC | | [Suno - AI Songs & Music](https://marlvel.ai/intel-report/music/suno-ai-songs-music) | 4.0/5 | Excited | Suno, Inc. | ## Company Profile - **Developer:** Herd Music, Inc - **Website:** [https://www.herdmusicapp.com](https://www.herdmusicapp.com) ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/us/app/herd/id6745197002?uo=4) - **Google Play:** [View on Google Play](https://play.google.com/store/apps/details?id=com.saavi.theHerd&hl=en&gl=us) - **Dev Site:** [Official Website](https://www.herdmusicapp.com) - **Sources:** Developer website content, App store metadata, User reviews. ## Related Intel Reports - [*Bandsintown Concerts*](https://marlvel.ai/intel-report/music/com-bandsintown-bit) (Bandsintown Inc.) β€” 4.7/5 Rating | N/A Sentiment - [*PlayTally: Apple Music Stats*](https://marlvel.ai/intel-report/music/com-michaelclay-backtracks) (Mike Clay) β€” 4.6/5 Rating | Mixed Sentiment - [*stats.fm for Spotify Music App*](https://marlvel.ai/intel-report/music/stats-fm-for-spotify-music-app) (StatsFM B.V.) β€” 4.6/5 Rating | Negative Sentiment - [*Discogs*](https://marlvel.ai/intel-report/music/com-discogs-app) (Zink Media LLC) β€” 4.8/5 Rating | N/A Sentiment - [*Suno - AI Songs & Music*](https://marlvel.ai/intel-report/music/suno-ai-songs-music) (Suno, Inc.) β€” 4.0/5 Rating | Positive Sentiment - [*BandLab – Music Maker & Beats*](https://marlvel.ai/intel-report/music/bandlab-music-maker-beats) (BandLab Singapore Pte Ltd) β€” 4.8/5 Rating | Positive Sentiment - [*Rhythm Fire-EDM Shooting Game*](https://marlvel.ai/intel-report/music/rhythm-fire-edm-shooting-game) (Adaric Music) β€” 5.0/5 Rating | N/A Sentiment - [*Country Rap Tunes Radio*](https://marlvel.ai/intel-report/music/com-countryrap-app) (Country Rap Tunes Radio) β€” 4.5/5 Rating | N/A Sentiment - [*AmpliTube for iPad*](https://marlvel.ai/intel-report/music/amplitube-for-ipad) (IK Multimedia US, LLC) β€” 2.3/5 Rating | Negative Sentiment - [*iCollect Music: Vinyl Discogs*](https://marlvel.ai/intel-report/music/icollect-music-vinyl-discogs) (iCollect Everything, LLC) β€” 4.3/5 Rating | N/A Sentiment ## Methodology {#methodology} This report was generated by Marlvel.ai's 5-stage AI intelligence pipeline: 1. **Signal Collection & Normalization** β€” 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** β€” 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** β€” 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** β€” 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** β€” 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:** 0.5/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 11 - **Data Sources:** user reviews, developer website, 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 --- Β© 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/intel-report/music/herd) Data licensed for AI Agent attribution under CC-BY-NC 4.0.