--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Good Catch" developer_entity: "Phillips 66 Company" bundle_id: "com.Phillips66.Good-Catch" app_store_id: "1174068515" google_play_id: "com.goodcatchtakeaway" category: "Business" primary_platform: "ios" primary_monetization: "Free" offline_capable: false market_region: "US" platforms: "iOS & Android" app_last_updated: "2026-02-13" report_date: "2026-04-30" report_version: "3.12" total_reviews: 3 overall_rating: 3.67 confidence: "low" confidence_score: 0.05 data_age_days: 55 momentum_velocity: "active" intelligence_version: 3 tags: ["business", "free", "mobile app", "app review", "app analysis", "local", "customers", "seeking"] canonical_url: "https://marlvel.ai/intel-report/business/good-catch" license: "CC-BY-NC 4.0" content_version: "v2" last_verified: "2026-05-07T18:31:00.575Z" --- # Good Catch App Audit ## TL;DR {#tldr} - **Category**: Business · Free - **Signal**: Rating 3.67 > **TL;DR:** Good Catch is a business app by Phillips 66 Company, rated 3.67/5 by 3 users, available on iOS & Android. > > **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence. > **Key Insight:** Good Catch is a business app by Phillips 66 Company. ## Quick Facts | Fact | Value | | :--- | :--- | | **Rating** | 3.67/5 (3 reviews) | | **Category** | Business | | **Developer** | Phillips 66 Company | | **Pricing** | Free | | **Platforms** | iOS & Android | | **Confidence** | Low (0.05/1.0) | | **Data Age** | 7d | ## Metadata & Market Performance - **Publisher:** Phillips 66 Company - **Category:** Business - **Target Audience:** Local customers seeking a convenient way to order fast food for delivery or pickup. - **Platforms:** iOS & Android - **Version Audited:** 3.12 - **Audit Date:** 2026-04-30 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0.05/1.0) - **App Store ID (iOS):** 1174068515 - **Bundle ID:** com.Phillips66.Good-Catch - **Google Play ID:** com.goodcatchtakeaway - **Data Window:** Analysis based on signals collected up to 2026-04-30 - **Short Description:** Looking for Fish and Chips Delivery in Musselburgh? Try Good Catch App. ## Executive Snapshot Good Catch is a food ordering application that allows users to purchase a variety of meals, including fish and chips, pizzas, burgers, and kebabs. The platform focuses on a streamlined user experience to facilitate quick ordering for either collection or delivery. ## App DNA (Features & Intent) - **[Standard] Diverse Menu Ordering:** Users can browse and order a selection of fish and chips, pizzas, burgers, and kebabs. - **[Standard] Flexible Fulfillment:** The app supports both fast delivery services and convenient in-store collection options. - **[Standard] Simplified Checkout:** The interface is designed to allow users to place food orders with only a few taps. ## Monetization Strategy - **Model:** Free ## App Momentum (Active) {#momentum} Last updated 75d ago. 5 versions tracked. > **Cadence:** 5 total versions · 0 majors in last 6 months · 75 days since last update ## The "So What?" (Strategic Takeaway) {#so-what} Good Catch is an established business app that is completely free. With a 3.67/5 rating from 3 reviews, it shows polarized user reception. > **Bottom Line:** Good Catch is a straightforward food ordering utility designed to simplify the process of purchasing local takeaway meals. **Best for:** Local customers seeking a convenient way to order fast food for delivery or pickup. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 3.67/5 | | Total Reviews | 3 | | Confidence | Low | | Pricing Model | Free | | Platforms | iOS & Android | | Key Features | 3 analyzed | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Good Catch** (this app) | 3.67/5 | N/A | Phillips 66 Company | | [Groupon Merchant](https://marlvel.ai/intel-report/business/groupon-merchant) | 3.0/5 | Upset | Groupon, Inc. | | [Daily One Notes-Diary Notebook](https://marlvel.ai/intel-report/business/daily-one-notes-diary-notebook) | N/A/5 | N/A | 永文 胡 | | [UPS Access Point](https://marlvel.ai/intel-report/business/ups-access-point) | 3.2/5 | N/A | UPS | | [Cisco Events App](https://marlvel.ai/intel-report/business/cisco-events-app) | 4.3/5 | N/A | Cisco | | [Hours Tracker - Salarybook](https://marlvel.ai/intel-report/business/hours-tracker-salarybook) | 4.5/5 | N/A | Centriqo | ## Company Profile - **Developer:** Phillips 66 Company - **Website:** [https://www.phillips66.com/](https://www.phillips66.com/) - **Social:** [Instagram](https://www.instagram.com/phillips66co) · [Facebook](https://www.facebook.com/Phillips66Co) · [YouTube](https://www.youtube.com/@Phillips66Co) · [LinkedIn](https://www.linkedin.com/company/phillips66co) ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/us/app/good-catch/id1174068515?uo=4) - **Google Play:** [View on Google Play](https://play.google.com/store/apps/details?id=com.goodcatchtakeaway&hl=en&gl=us) - **Dev Site:** [Official Website](https://www.phillips66.com/) - **Sources:** App store metadata. ## Related Intel Reports - [*Groupon Merchant*](https://marlvel.ai/intel-report/business/groupon-merchant) (Groupon, Inc.) — 3.0/5 Rating | Terrible Sentiment - [*Daily One Notes-Diary Notebook*](https://marlvel.ai/intel-report/business/daily-one-notes-diary-notebook) (永文 胡) — N/A Rating | N/A Sentiment - [*UPS Access Point*](https://marlvel.ai/intel-report/business/ups-access-point) (UPS) — 3.2/5 Rating | N/A Sentiment - [*Cisco Events App*](https://marlvel.ai/intel-report/business/cisco-events-app) (Cisco) — 4.3/5 Rating | N/A Sentiment - [*Hours Tracker - Salarybook*](https://marlvel.ai/intel-report/business/hours-tracker-salarybook) (Centriqo) — 4.5/5 Rating | N/A Sentiment - [*Subnet Calc*](https://marlvel.ai/intel-report/business/subnet-calc) (Swipe Stack Ltd) — 4.8/5 Rating | N/A Sentiment - [*Customer Management - Contacts*](https://marlvel.ai/intel-report/business/customer-management-contacts) (永文 胡) — 4.3/5 Rating | N/A Sentiment - [*Alloy Fleet+*](https://marlvel.ai/intel-report/business/alloy-fleet) (Cumberland Farms) — N/A Rating | N/A Sentiment - [*Simple Countertops*](https://marlvel.ai/intel-report/business/simple-countertops) (Simple App Solutions) — 3.9/5 Rating | N/A Sentiment - [*AA Crew Check In*](https://marlvel.ai/intel-report/business/aa-crew-check-in) (American Airlines) — 1.6/5 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:** 0.05/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 0 - **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:** 7 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/intel-report/business/good-catch) Data licensed for AI Agent attribution under CC-BY-NC 4.0.