--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "TrackIt: Track & Field" developer_entity: "Benjamin Ayesu-Attah" bundle_id: "com.benayesu.trackit" app_store_id: "6743180546" category: "Health & Fitness" primary_platform: "ios" primary_monetization: "Subscription" offline_capable: false market_region: "US" platforms: "iOS & Android" app_last_updated: "2026-07-29" report_date: "2026-10-19" last_verified: "2026-10-19T00:00:00.000Z" report_version: "1.15.1" total_reviews: 0 confidence: "low" confidence_score: 0.3 data_age_days: 27 momentum_velocity: "maintenance" intelligence_version: 2 tags: ["health & fitness", "subscription", "mobile app", "app review", "app analysis", "competitive", "track", "field"] canonical_url: "https://marlvel.ai/apps/trackit-track-field" license: "CC-BY-NC 4.0" content_version: "v2" --- ## ⚠ Content Warning This report covers topics classified as sensitive (health). 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. --- # TrackIt: Track & Field Intelligence Report ## TL;DR {#tldr} - **Category**: Health & Fitness · Subscription > **TL;DR:** TrackIt: Track & Field is a health & fitness app by Benjamin Ayesu-Attah, available on iOS & Android. > > **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence. > **Key Insight:** TrackIt: Track & Field is a health & fitness app by Benjamin Ayesu-Attah. ## Quick Facts | Fact | Value | | :--- | :--- | | **Category** | Health & Fitness | | **Developer** | Benjamin Ayesu-Attah | | **Pricing** | Subscription | | **Platforms** | iOS & Android | | **Confidence** | Low (0.3/1.0) | | **Data Age** | 27d | ## Metadata & Market Performance - **Publisher:** Benjamin Ayesu-Attah - **Category:** Health & Fitness - **Target Audience:** Competitive track and field athletes, including sprinters, distance runners, jumpers, and throwers. - **Platforms:** iOS & Android - **Version Reviewed:** 1.15.1 - **Report Date:** 2026-10-19 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0.3/1.0) - **App Store ID (iOS):** 6743180546 - **Bundle ID:** com.benayesu.trackit - **Google Play ID:** com.benayesu.trackit - **Data Window:** Analysis based on signals collected up to 2026-10-19 ## Executive Snapshot **What it is:** TrackIt is a training log and performance analytics app for track and field athletes on iOS and Android. **Why users hire it:** Athletes need a way to correlate performance with environmental factors like wind and equipment health to identify training trends before competition day. ## App DNA (Features & Intent) - **[Standard] Workout Logging:** Records running sets, reps, and field event attempts with validity tracking, serving as the core retention loop. * *User Intent:* Users want visibility into their own performance and progress. - **[Differentiator] AI Workout Analysis:** Provides discipline-specific insights behind a subscription gate to drive paid conversion. * *User Intent:* Users seek enhanced value through premium features. - **[Differentiator] Wind Correction Calculator:** Adjusts performance metrics for sprints and jumps, targeting competitive users who need official-style verification. * *User Intent:* Users are driven by competitive achievement and recognition. ## Market Position {#market-position} TrackIt occupies a niche segment within Health & Fitness, focusing on specialized athletic data rather than general activity tracking. The absence of public chart rankings suggests the app currently relies on organic discovery within its specific athletic community. ## Monetization Strategy - **Model:** Subscription - **Tiers:** Free tier with basic logging, TrackIt Pro (monthly or annual) - **Analysis:** Freemium model gates advanced analytics, wind correction, and wearable integrations behind a Pro subscription. ## SWOT Analysis {#swot} **Core Strengths:** - Discipline-specific logging mechanisms for jumps and throws create a specialized utility barrier. - Weather-aware training logs provide performance context that general fitness apps lack. **Growth Levers:** - Automating performance verification via meet-result database integration. - Expanding wearable support to include Garmin or Coros devices. ## What's New - **Latest (v1.15.0, 2 months ago):** Introduced Race Time Predictor and Split Calculator, plus Pro-tier Workout Comparison and Fitbit recovery data integration. ## App Momentum (Maintenance) {#momentum} - Shipped race time predictor and split calculator. - Integrated Fitbit recovery data syncing. - Maintained 82-day gap between major releases. > **Cadence:** 2 total versions · 2 majors in last 6 months · 82 days since last update · 1 days avg between updates ## The "So What?" (Strategic Takeaway) {#so-what} TrackIt: Track & Field is a health & fitness app. > **Bottom Line:** TrackIt provides specialized utility for competitive athletes, but the current maintenance-mode cadence risks stagnation. Automating performance verification would unlock significant value for the target audience, shifting the app from a manual log to an essential training companion. **Best for:** Competitive track and field athletes, including sprinters, distance runners, jumpers, and throwers. ### PM Action Plan (Next Best Moves) - [ ] [INVEST] Ship automated meet-result imports because manual entry is a high-friction barrier → increase user retention ### Outlook: Stable The athletic training app market is consolidating around platforms that offer automated data syncing and performance verification. TrackIt remains stable but exposed, as its reliance on manual logging will struggle to compete with platforms that integrate directly with official meet results and hardware ecosystems. - ⚪ The latest release added Fitbit integration, showing a commitment to wearable data despite a slow overall update cadence. - 🔴 The 82-day gap between major releases suggests the app is in maintenance mode, which limits its ability to capture new users. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Total Reviews | 0 | | Confidence | Low | | Pricing Model | Subscription | | Platforms | iOS & Android | | Key Features | 3 analyzed | | Outlook | Stable | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **TrackIt: Track & Field** (this app) | N/A/5 | N/A | Benjamin Ayesu-Attah | | [Mind - Méditations guidées](https://marlvel.ai/apps/mind-m-ditations-guid-es) | 4.6/5 | Excited | MIND AND CIE | | [Caspar Health](https://marlvel.ai/apps/caspar-health) | 3.6/5 | Mixed | GOREHA GmbH | | [evolum - Meditation & Yoga](https://marlvel.ai/apps/evolum-meditation-yoga) | 4.7/5 | Excited | Rodger Studio (Apps) | | [FAMHLTH: Family Health Tracker](https://marlvel.ai/apps/famhlth-family-health-tracker) | N/A/5 | N/A | Quinton Nixon | | [Gluten Checker](https://marlvel.ai/apps/gluten-checker) | N/A/5 | N/A | JIRI CHOMAT | ## Company Profile - **Developer:** Benjamin Ayesu-Attah - **Website:** [https://www.trackittf.com](https://www.trackittf.com) ## Data Sources & Links - **App Store ID:** 6743180546 - **Google Play ID:** com.benayesu.trackit - **Dev Site:** [Official Website](https://www.trackittf.com) - **Sources:** Developer website content, About us / company information, 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 - [*Caspar Health*](https://marlvel.ai/apps/caspar-health) (GOREHA GmbH) · 3.6/5 Rating - [*evolum - Meditation & Yoga*](https://marlvel.ai/apps/evolum-meditation-yoga) (Rodger Studio (Apps)) · 4.7/5 Rating | Positive Sentiment - [*FAMHLTH: Family Health Tracker*](https://marlvel.ai/apps/famhlth-family-health-tracker) (Quinton Nixon) · N/A Rating - [*Gluten Checker*](https://marlvel.ai/apps/gluten-checker) (JIRI CHOMAT) · N/A Rating - [*Gluten Free For Me*](https://marlvel.ai/apps/gluten-free-for-me) (Adam First) · 4.8/5 Rating - [*GoTall - Height Predictor*](https://marlvel.ai/apps/gotall-height-predictor) (Grow Labs LLC) · 4.6/5 Rating - [*Lunara: Cycle, Symptom Tracker*](https://marlvel.ai/apps/lunara-cycle-symptom-tracker) (Fuzhou Jiku Technology Co., Ltd.) · N/A Rating - [*Medical Kundali Match Health*](https://marlvel.ai/apps/medical-kundali-match-health) (Medical Match Pvt Ltd) · N/A Rating - [*Ovulation Predictor*](https://marlvel.ai/apps/ovulation-predictor) (RAHI PATEL) · 1.0/5 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:** 0.3/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 0 - **Data Sources:** developer website, company about page, 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:** 27 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/trackit-track-field) Data licensed for AI Agent attribution under CC-BY-NC 4.0.