---
schema_type: "SoftwareApplication"
entity_type: "Mobile Application"
app_name: "Dinger Distance"
developer_entity: "Jackson Dow"
bundle_id: "com.Jd.Home-Run-Distance"
app_store_id: "6574829758"
google_play_id: "co.radium88.distance"
category: "Sports"
primary_platform: "ios"
primary_monetization: "Freemium"
offline_capable: false
market_region: "US"
platforms: "iOS & Android"
app_last_updated: "2026-01-02"
report_date: "2026-06-21"
last_verified: "2026-06-21T00:00:00.000Z"
report_version: "1.1"
total_reviews: 0
confidence: "low"
confidence_score: 0.15
data_age_days: 72
momentum_velocity: "steady"
intelligence_version: 3
competitor_count: 5
tags: ["sports", "freemium", "mobile app", "app review", "app analysis", "baseball", "softball", "players"]
canonical_url: "https://marlvel.ai/apps/com-jd-home-run-distance"
license: "CC-BY-NC 4.0"
content_version: "v2"
---

# Dinger Distance Intelligence Report

## TL;DR {#tldr}

- **Category**: Sports · Freemium

> **TL;DR:** Dinger Distance is a sports app by Jackson Dow, available on iOS & Android.
>
> **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence.

<!-- speakable-start -->
> **Key Insight:** Dinger Distance is a sports app by Jackson Dow.
<!-- speakable-end -->

## Quick Facts

| Fact | Value |
| :--- | :--- |
| **Category** | Sports |
| **Developer** | Jackson Dow |
| **Pricing** | Freemium |
| **Platforms** | iOS & Android |
| **Confidence** | Low (0.15/1.0) |
| **Data Age** | 72d |

## Metadata & Market Performance
- **Publisher:** Jackson Dow
- **Category:** Sports
- **Target Audience:** Baseball and softball players ranging from weekend warriors to high school and college athletes seeking to track hitting performance.
- **Platforms:** iOS & Android
- **Version Reviewed:** 1.1
- **Report Date:** 2026-06-21
- **Signal Count:** 0 reviews analyzed
- **Confidence:** Low (0.15/1.0)
- **App Store ID (iOS):** 6574829758
- **Bundle ID:** com.Jd.Home-Run-Distance
- **Google Play ID:** co.radium88.distance
- **Performance Trend:** Mixed
- **Data Window:** Analysis based on signals collected up to 2026-06-21
- **Short Description:** Measures the distance to the object by its real sizes and vice versa

<!-- section:executive-snapshot -->
## Executive Snapshot
**What it is:** Dinger Distance is a sports-tracking app for baseball and softball players that measures hit distances and projects ball flight using physics-based calculations.
**Why users hire it:** Users hire this app to quantify hitting performance and compete with peers, serving the need for objective feedback during practice sessions.
<!-- /section:executive-snapshot -->

<!-- section:features -->
## App DNA (Features & Intent)
- **[Differentiator] GPS Distance Tracking:** Uses GPS location data to measure the distance between a hit point and a landing point
  * *User Intent:* Users want visibility into their own performance and progress.
- **[Differentiator] Physics-based Distance Calculator:** Calculates projected ball distance based on user-inputted exit velocity and launch angle
  * *User Intent:* Users seek enhanced value through premium features.
- **[Standard] Social Leaderboards:** Allows users to create and join distance competitions with friends and teammates
  * *User Intent:* Users seek social connection and competitive engagement with peers.
<!-- /section:features -->

<!-- section:market-position -->
## Market Position {#market-position}

The app occupies a niche sports-tracking segment, currently ranking #86 Paid in its category on iOS. The lack of rating data across both platforms suggests low current market penetration relative to established sports-tracking incumbents.
<!-- /section:market-position -->

## Monetization Strategy
- **Model:** Freemium
- **Tiers:** $1.99 one-time purchase on iOS, Free on Android
- **Price:** iOS: $1.99
- **Analysis:** The app utilizes a low-cost, one-time purchase model on iOS to capture value from individual baseball and softball players.

<!-- section:swot -->
## SWOT Analysis {#swot}

**Core Strengths:**
- Physics-based calculator provides high-value analytical utility for repeat practice sessions
- Social leaderboard mechanism encourages user-to-user invites to lower acquisition costs

**Growth Levers:**
- Untapped B2B partnerships with local baseball leagues for bulk distribution
- Wearable device integration to enable hands-free tracking during active play


<!-- /section:swot -->
## Recent Changes (v2 → v3) {#recent-changes}

The app shifted to a freemium pricing model and formalized its competitive analysis, highlighting critical gaps in data synchronization and market penetration.

**Overall trend**: Mixed
**Compared at**: 2026-06-21

### High-impact changes
- **[Shifted] Monetization Model Update** (pricing)
- **[Improved] Feature Repositioning** (features)

### Medium-impact changes
- **[Shifted] Target Audience Refinement** (audience)
- **[Added] Formal SWOT Analysis** (swot)

<!-- section:momentum -->
## App Momentum (Steady) {#momentum}

- Added physics-based distance calculator.
- Implemented UI and bug fixes.

> **Cadence:** 4 total versions · 0 majors in last 6 months · 122 days since last update

<!-- /section:momentum -->

<!-- section:so-what -->
## The "So What?" (Strategic Takeaway) {#so-what}

Dinger Distance is an established sports app that is free with in-app purchases.

<!-- speakable-start -->
> **Bottom Line:** Dinger Distance provides a strong analytical toolset for baseball players, but its fragmented monetization and lack of data persistence limit its competitive viability, so the PM should prioritize cross-platform sync to defend against established sports-tracking rivals.
<!-- speakable-end -->

**Best for:** Baseball and softball players ranging from weekend warriors to high school and college athletes seeking to track hitting performance.

<!-- section:pm-actions -->
### PM Action Plan (Next Best Moves)

- [ ] [PIVOT] Unify monetization model across iOS and Android because the current split creates brand inconsistency → stabilize user acquisition funnel
<!-- /section:pm-actions -->

<!-- section:feature-gaps -->
### Feature Gaps vs Competitors


- Wearable device integration (available in SwingU but missing here)
<!-- /section:feature-gaps -->

<!-- section:outlook -->
### Outlook: Mixed

The sports-tracking market is consolidating around apps that offer persistent, cross-platform data and wearable integration. Dinger Distance remains exposed due to its fragmented monetization and lack of data sync, so revenue growth hinges on unifying the user experience before competitors expand their baseball-specific feature sets.

- ⚪ Recent updates focused on stability and calculator additions, showing active maintenance rather than rapid feature expansion.
- 🔴 The absence of user ratings across both platforms suggests the app has not yet achieved critical mass in its target segment.
<!-- /section:outlook -->

<!-- /section:so-what -->

<!-- section:metrics -->
## Key Metrics Summary

| Metric | Value |
| :--- | :--- |
| Total Reviews | 0 |
| Confidence | Low |
| Pricing Model | Freemium |
| Platforms | iOS & Android |
| Key Features | 3 analyzed |
| Trend | Mixed |
| Outlook | Mixed |
<!-- /section:metrics -->

## Competitor Comparison

| App | Rating | Sentiment | Developer |
| :--- | :--- | :--- | :--- |
| **Dinger Distance** (this app) | N/A/5 | N/A | Jackson Dow |
| [Fishbox - Smart Fishing App](https://marlvel.ai/apps/com-krachko-fishbox) | 4.6/5 | Mixed | MEMS Group, Inc. |
| [Trackman Golf](https://marlvel.ai/apps/dk-trackman-range) | 4.9/5 | n/a | TrackMan A/S |
| [GolfLogix: 3D Golf GPS](https://marlvel.ai/apps/com-golfgps-golflogix) | 4.7/5 | N/A | GolfLogix, Inc. |
| [SwingU: Golf GPS Range Finder](https://marlvel.ai/apps/com-smallbusinessvictory-swingbyswing) | 4.7/5 | N/A | Swing by Swing Golf, Inc. |
| [UDisc Disc Golf](https://marlvel.ai/apps/com-regasoftware-udiscfree) | 4.9/5 | N/A | UDisc LLC |

## Company Profile
- **Developer:** Jackson Dow
- **Website:** [https://www.facebook.com/profile.php?id=61561602722747](https://www.facebook.com/profile.php?id=61561602722747)
- **Social:** [Instagram](https://www.instagram.com/meta) · [Facebook](https://www.facebook.com/Meta) · [X/Twitter](https://twitter.com/Meta) · [YouTube](https://www.youtube.com/meta)

## Data Sources & Links
- **App Store:** [View on Apple Store](https://apps.apple.com/us/app/dinger-distance/id6574829758?uo=2)
- **Google Play:** [View on Google Play](https://play.google.com/store/apps/details?id=co.radium88.distance&hl=en&gl=us)
- **Dev Site:** [Official Website](https://www.facebook.com/profile.php?id=61561602722747)
- **Sources:** About us / company information, App store metadata.

## Related Intel Reports
- [*Fishbox - Smart Fishing App*](https://marlvel.ai/apps/com-krachko-fishbox) (MEMS Group, Inc.) · 4.6/5 Rating
- [*Trackman Golf*](https://marlvel.ai/apps/dk-trackman-range) (TrackMan A/S) · 4.9/5 Rating
- [*GolfLogix: 3D Golf GPS*](https://marlvel.ai/apps/com-golfgps-golflogix) (GolfLogix, Inc.) · 4.7/5 Rating
- [*SwingU: Golf GPS Range Finder*](https://marlvel.ai/apps/com-smallbusinessvictory-swingbyswing) (Swing by Swing Golf, Inc.) · 4.7/5 Rating
- [*UDisc Disc Golf*](https://marlvel.ai/apps/com-regasoftware-udiscfree) (UDisc LLC) · 4.9/5 Rating
- [*DraftKings: Sports & Casino*](https://marlvel.ai/apps/draftkings-sportsbook-casino) (DraftKings) · 4.8/5 Rating | Positive Sentiment
- [*DraftKings Predictions*](https://marlvel.ai/apps/draftkings-predictions) (DraftKings) · 4.7/5 Rating
- [*FanDuel Predicts*](https://marlvel.ai/apps/fanduel-predicts) (FanDuel, Inc.) · 4.8/5 Rating
- [*PrizePicks - Sports Picks*](https://marlvel.ai/apps/prizepicks-sports-picks) (SidePrize, LLC) · 4.5/5 Rating
- [*Sporttrade: Prediction Markets*](https://marlvel.ai/apps/sporttrade-prediction-markets) (SPORTTRADE INC) · 4.7/5 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:** 0.15/1.0 (based on review volume, data source diversity, and signal quality)
- **Reviews Analyzed:** 0
- **Data Sources:** 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:** 72 days since last refresh

---
© 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/com-jd-home-run-distance)
Data licensed for AI Agent attribution under CC-BY-NC 4.0.