--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "parkrunner: 5K parkrun results" developer_entity: "Apps for London Ltd" bundle_id: "com.appsforlondon.parkrunner" app_store_id: "1422416889" category: "Health & Fitness" primary_platform: "ios" primary_monetization: "Free" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2026-08-31" report_date: "2026-09-22" last_verified: "2026-09-22T00:00:00.000Z" report_version: "3.7.0" total_reviews: 56 overall_rating: 4.7 confidence: "low" confidence_score: 0.2 data_age_days: 49 momentum_velocity: "maintenance" intelligence_version: 2 tags: ["health & fitness", "free", "mobile app", "app review", "app analysis", "regular", "parkrun", "participants"] canonical_url: "https://marlvel.ai/apps/parkrunner-5k-parkrun-results" license: "CC-BY-NC 4.0" content_version: "v2" --- ## ⚠ Content Warning This report covers topics classified as sensitive (health, finance). Information is aggregated from public sources for informational purposes only. This is not medical advice. Consult a qualified professional before acting on any information here. --- # parkrunner: 5K parkrun results Intelligence Report ## TL;DR {#tldr} - **Category**: Health & Fitness · Free - **Signal**: Rating 4.7 > **TL;DR:** parkrunner: 5K parkrun results is a health & fitness app by Apps for London Ltd, rated 4.7/5 by 56 users, available on iOS. > > **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence. > **Key Insight:** parkrunner: 5K parkrun results is a health & fitness app by Apps for London Ltd. ## Quick Facts | Fact | Value | | :--- | :--- | | **Rating** | 4.7/5 (56 reviews) | | **Category** | Health & Fitness | | **Developer** | Apps for London Ltd | | **Pricing** | Free | | **Platforms** | iOS | | **Confidence** | Low (0.2/1.0) | | **Data Age** | 49d | ## Metadata & Market Performance - **Publisher:** Apps for London Ltd - **Category:** Health & Fitness - **Target Audience:** Regular parkrun participants who want to track performance, manage their barcode, and engage with community challenges. - **Platforms:** iOS - **Version Reviewed:** 3.7.0 - **Report Date:** 2026-09-22 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0.2/1.0) - **App Store ID (iOS):** 1422416889 - **Bundle ID:** com.appsforlondon.parkrunner - **Data Window:** Analysis based on signals collected up to 2026-09-22 ## Executive Snapshot **What it is:** parkrunner is a community-built companion app for parkrun 5K participants that provides instant results, barcode storage, and challenge tracking on iOS. **Why users hire it:** The app removes the friction of carrying physical barcodes and provides a centralized, gamified view of performance history that the official parkrun site does not offer. ## App DNA (Features & Intent) - **[Differentiator] Barcode Apple Wallet Integration:** One-tap addition of personal barcode to Apple Wallet for event scanning, reinforcing the weekly attendance habit. - **[Differentiator] Automated Challenge Tracking:** Tracks 100+ specific achievements like Palindrome times and Calendar Bingo automatically to encourage consistent participation. * *User Intent:* Users want visibility into their own performance and progress. - **[Standard] Event Map and Course Data:** Displays 2,500+ global event locations with route maps and personal course records to support parkrun tourism. ## Market Position {#market-position} parkrunner functions as a specialized utility within the Health & Fitness category, maintaining a 4.7-star rating across 56 reviews. Its focus on a single event series provides a clear, defensible utility that general fitness apps cannot replicate. ## Monetization Strategy - **Model:** Free - **Tiers:** Free - **Analysis:** The app operates as a free utility with no visible subscription or IAP gates, relying on community goodwill. ## SWOT Analysis {#swot} **Core Strengths:** - Apple Wallet integration removes connectivity dependency for event scanning. - Automated challenge library creates a persistent retention loop. - Independent developer status allows for community-focused feature iteration. **Growth Levers:** - Localized event-tourism guides could capture revenue from 2,500+ event locations. - Premium challenge tiers could monetize existing achievements for power users. ## What's New - **Latest (v3.7.0, 3 weeks ago):** Maintenance update focused on bug fixes and performance improvements. ## App Momentum (Maintenance) {#momentum} - Ships maintenance updates every 21 days. - Maintains 4.7-star rating across 56 reviews. > **Cadence:** 1 total versions · 0 majors in last 6 months · 21 days since last update ## The "So What?" (Strategic Takeaway) {#so-what} parkrunner: 5K parkrun results is a health & fitness app that is completely free. It holds a 4.7/5 rating from 56 reviews. > **Bottom Line:** parkrunner maintains a strong utility position by solving the barcode-management friction that plagues the weekly 5K routine. The lack of monetization leaves the app vulnerable to platform-level feature parity, so introducing a voluntary support model would unlock sustainability. **Best for:** Regular parkrun participants who want to track performance, manage their barcode, and engage with community challenges. ### PM Action Plan (Next Best Moves) - [ ] [INVEST] Introduce a voluntary contribution tier because the app lacks any revenue stream to cover server costs → ensure long-term sustainability ### Outlook: Stable The market for event-specific utility apps is consolidating, with parkrunner holding a stable position due to its deep integration with the parkrun community. However, the lack of a monetization strategy leaves the app exposed to feature-parity risks from the official event organizers, which would erode the current user base. - ⚪ The 21-day maintenance cadence keeps the app functional but prevents the feature expansion needed to defend against potential official app updates. - 🟢 The 100,000+ user base and 4.7-star rating demonstrate strong community fit, providing a stable foundation for potential monetization experiments. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 4.7/5 | | Total Reviews | 56 | | Confidence | Low | | Pricing Model | Free | | Platforms | iOS | | Key Features | 3 analyzed | | Outlook | Stable | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **parkrunner: 5K parkrun results** (this app) | 4.7/5 | N/A | Apps for London Ltd | | [Mind - Méditations guidées](https://marlvel.ai/apps/mind-m-ditations-guid-es) | 4.6/5 | Excited | MIND AND CIE | | [evolum - Meditation & Yoga](https://marlvel.ai/apps/evolum-meditation-yoga) | 4.7/5 | Excited | Rodger Studio (Apps) | | [GoTall - Height Predictor](https://marlvel.ai/apps/gotall-height-predictor) | 4.6/5 | Mixed | Grow Labs LLC | | [SpeechPacer](https://marlvel.ai/apps/speechpacer) | 1.0/5 | N/A | Felix Thron | | [Taller AI: Height Maximizer](https://marlvel.ai/apps/taller-ai-height-maximizer) | 4.7/5 | Excited | Leadimize | ## Company Profile - **Developer:** Apps for London Ltd - **Website:** App Store ## Data Sources & Links - **App Store ID:** 1422416889 - **Dev Site:** Official Website - **Sources:** Developer website content, App store metadata. ## Related Intel Reports - [*Mind - Méditations guidées*](https://marlvel.ai/apps/mind-m-ditations-guid-es) (MIND AND CIE) · 4.6/5 Rating | Positive Sentiment - [*evolum - Meditation & Yoga*](https://marlvel.ai/apps/evolum-meditation-yoga) (Rodger Studio (Apps)) · 4.7/5 Rating | Positive Sentiment - [*GoTall - Height Predictor*](https://marlvel.ai/apps/gotall-height-predictor) (Grow Labs LLC) · 4.6/5 Rating - [*SpeechPacer*](https://marlvel.ai/apps/speechpacer) (Felix Thron) · 1.0/5 Rating - [*Taller AI: Height Maximizer*](https://marlvel.ai/apps/taller-ai-height-maximizer) (Leadimize) · 4.7/5 Rating | Positive Sentiment - [*나만의 짐, 나만의 운동공간이 필요할 때*](https://marlvel.ai/apps/this-is-a-web-service-that-allows-you-to-reserve-a) (lvher) · N/A Rating - [*하이타이 - 최저가 마사지, 스웨디시, 타이마사지 할인*](https://marlvel.ai/apps/kr-co-apptube-hitai2) (앱튜브(AppTube)) · 4.7/5 Rating - [*しりもちアプリ*](https://marlvel.ai/apps/scade-shirimochi) (株式会社S-CADE) · N/A Rating - [*ねむねむボタン*](https://marlvel.ai/apps/hiroto-neoti-neoti) (HIROTO TSUTSUSHIMA) · N/A Rating - [*ストレス・チェック*](https://marlvel.ai/apps/app--661) (Satoshi Sato) · N/A Rating ## 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:** 0.2/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 0 - **Data Sources:** 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:** 49 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/parkrunner-5k-parkrun-results) Data licensed for AI Agent attribution under CC-BY-NC 4.0.