--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "the coffee house" developer_entity: "My shop technologies ltd" bundle_id: "il.co.myshop.coffeehouse" app_store_id: "6741154744" category: "Food & Drink" primary_platform: "ios" primary_monetization: "Free" offline_capable: false market_region: "US" platforms: "iOS & Android" app_last_updated: "2025-03-04" report_date: "2026-05-21" last_verified: "2026-05-21T12:05:03.631Z" report_version: "1.0.3(2.0.135)" total_reviews: 0 confidence: "low" confidence_score: 0.05 data_age_days: 41 momentum_velocity: "zombie" intelligence_version: 4 nemesis: "Starbucks" competitor_count: 11 tags: ["food & drink", "free", "mobile app", "app review", "app analysis", "existing", "customers", "coffee"] canonical_url: "https://marlvel.ai/intel-report/food-drink/the-coffee-house" license: "CC-BY-NC 4.0" content_version: "v2" --- # the coffee house App Audit ## TL;DR {#tldr} - **Category**: Food & Drink · Free > **TL;DR:** the coffee house is a food & drink app by My shop technologies ltd, available on iOS & Android. > > **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence. > **Key Insight:** the coffee house is a food & drink app by My shop technologies ltd. ## Quick Facts | Fact | Value | | :--- | :--- | | **Category** | Food & Drink | | **Developer** | My shop technologies ltd | | **Pricing** | Free | | **Platforms** | iOS & Android | | **Confidence** | Low (0.05/1.0) | | **Data Age** | 0d | ## Metadata & Market Performance - **Publisher:** My shop technologies ltd - **Category:** Food & Drink - **Target Audience:** Existing customers of the coffee house chain looking for a convenient way to order food and track their purchase history. - **Platforms:** iOS & Android - **Version Audited:** 1.0.3(2.0.135) - **Audit Date:** 2026-05-21 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0.05/1.0) - **App Store ID (iOS):** 6741154744 - **Bundle ID:** il.co.myshop.coffeehouse - **Google Play ID:** il.co.myshop.coffeehouse - **Performance Trend:** Stable - **Data Window:** Analysis based on signals collected up to 2026-05-21 ## Executive Snapshot **What it is:** The Coffee House is a food and drink ordering application for iOS and Android that enables customers to browse menus, customize orders, and track purchase history. **Why users hire it:** Users hire the app to bypass in-store ordering friction, but the current lack of loyalty incentives fails to secure the daily-habit loop required to compete with major coffee chains. ## App DNA (Features & Intent) - **[Standard] Customizable Order Cart:** Allows users to add items to a basket and append specific comments or requests to individual products. * *User Intent:* Users value self-expression and personalized experiences. - **[Standard] Order History and Profile:** Stores past orders, delivery addresses, and payment methods within a personal user profile. * *User Intent:* Users seek enhanced value through premium features. - **[Standard] Push Notification Service:** Sends alerts regarding deals, discounts, and promotional offers to opted-in users. * *User Intent:* Users want timely prompts to stay engaged without missing updates. ## Market Position {#market-position} The Coffee House operates as a localized ordering utility, but the absence of a loyalty program limits its competitive stance against peers like Costa Coffee Club. The lack of rating data across both platforms suggests limited user adoption compared to established retail-ordering apps. ## Monetization Strategy - **Model:** Free - **Tiers:** Free application with no IAP or subscription gates mentioned - **Analysis:** The app functions as a direct-to-consumer ordering channel for the brand, prioritizing transaction volume over in-app monetization. ## SWOT Analysis {#swot} **Core Strengths:** - Localized, community-centric ordering experience avoids the corporate friction of global chains. **Critical Frictions:** - No loyalty or reward program to incentivize daily usage. - Zero rating count across both platforms indicates low adoption. **Growth Levers:** - Integration of a loyalty-based reward system could convert casual users into daily active participants. **Market Threats:** - Established coffee chains with integrated reward ecosystems siphon off the high-frequency user base. ## Recent Changes (v3 → v4) {#recent-changes} The app remains in a stagnant development state, but the competitive intelligence framework has been updated to focus exclusively on the coffee-retail sector rather than general food delivery. **Overall trend**: Stable **Compared at**: 2026-05-21 ### High-impact changes - **[Shifted] Competitive Landscape Focus** (positioning) — Competitive set moved from general fast-casual (Shake Shack, Firehouse Subs) to coffee-specific retail (Starbucks, Costa Coffee Club, Sip'n). - **[Shifted] Threat and Weakness Re-framing** (swot) — Threats updated from general market competition (talabat) to specific coffee-chain reward ecosystems siphoning high-frequency users. ### Medium-impact changes - **[Shifted] Executive Summary Narrative** (positioning) — Narrative shifted from a general food-ordering utility critique to a specific focus on the failure to gamify the daily coffee habit. ## Rivals Landscape {#rivals} > Competitive positioning identified by AI analysis of app features, category, and market signals. ### the coffee house vs Starbucks — Head to Head - **[Starbucks](https://marlvel.ai/intel-report/food-drink/starbucks)** by Starbucks Coffee Company: Starbucks represents the gold standard for mobile-first coffee ordering, directly competing for the same daily-habit user base that 'the coffee house' aims to capture. - **Key differences:** - Deeply integrated loyalty ecosystem drives massive daily active usage through personalized rewards and mobile-only offers. - Industry-leading mobile order and pay infrastructure minimizes wait times, creating a frictionless habit-forming user experience. - Global brand recognition and massive physical footprint provide a distribution advantage that smaller apps cannot replicate. - **Where the coffee house wins:** - ✅ Target app offers a more focused, localized experience that may feel less corporate and more community-centric. - ✅ Simplified menu navigation allows for faster discovery of local favorites compared to the overwhelming Starbucks catalog. - **Where Starbucks wins:** - ❌ Starbucks provides a seamless, highly reliable mobile ordering flow backed by years of massive scale and optimization. - ❌ Advanced loyalty gamification and personalized rewards keep users locked into the Starbucks ecosystem for every purchase. - **Verdict:** The target should avoid direct feature-for-feature competition and instead focus on hyper-local community engagement and personalized service that a global giant cannot easily mimic. ### Contenders (Strong Challengers) - **[Sip'n](https://marlvel.ai/intel-report/food-drink/sip-n)** by Crmb, LLC: Sip'n is a direct functional competitor that provides a mobile ordering and loyalty platform for coffee shop customers. - Features a dedicated order history section, enabling users to quickly reorder their favorite drinks with minimal effort. - Focuses on a streamlined, minimalist ordering flow that prioritizes speed over complex menu browsing or customization. - **[Up Coffee Official](https://marlvel.ai/intel-report/food-drink/up-coffee-official)** by Fairwave Holdings LLC: This app competes by leveraging a structured loyalty program and mobile ordering to capture the same coffee-focused demographic. - Implements 'Club Green' loyalty program which provides a clear, branded incentive structure for repeat coffee purchases. - Supports multi-unit guest insights, allowing the brand to aggregate data across different locations for better service. - **[Pueblo Coffee Company](https://marlvel.ai/intel-report/food-drink/pueblo-coffee-company)** by Crmb, LLC: Pueblo Coffee Company targets the same convenience-seeking coffee consumer by focusing on mobile ordering and line-skipping capabilities. - Explicitly markets 'skip the line' functionality as a core value proposition to attract time-sensitive morning commuters. - Utilizes a standardized CRM-based loyalty framework that ensures consistent reward tracking and user retention mechanics. - **[Dingtea Downtown](https://marlvel.ai/intel-report/food-drink/dingtea-downtown)** by PEBLLA, INC: This app competes by offering a similar mobile-ordering and reward-tracking experience tailored for a specific local beverage retail environment. - Includes a social gallery feature that encourages user-generated content and community engagement within the app interface. - Provides real-time order tracking, offering users greater transparency regarding their beverage preparation status than the target. ### Peers (What They Do Better) - **[Dark Roast for Coffee Lovers](https://marlvel.ai/intel-report/food-drink/dark-roast-for-coffee-lovers)** by Bart Jacobs: This app targets the coffee enthusiast segment by providing tools for bean inventory and roasting logs. - Includes advanced roasting logs and bean ratings, appealing to the 'prosumer' segment of coffee drinkers. - Utilizes CloudKit integration to ensure user data is synced across multiple devices for a seamless experience. - **[Brewr for Coffee Enthusiasts](https://marlvel.ai/intel-report/food-drink/brewr-for-coffee-enthusiasts)** by Bart Jacobs: This app serves the coffee-drinking audience by focusing on inventory management and personal brewing records. - Provides a comprehensive capsule catalog that helps users track their specific coffee pod inventory and usage. - Focuses on the home-brewing experience, differentiating itself from the target's retail-ordering focus. - **[Costa Coffee Club Cyprus](https://marlvel.ai/intel-report/food-drink/costa-coffee-club-cyprus)** by CRM.COM Ltd: This app is a direct peer in the coffee retail space, focusing on loyalty and transaction management for a coffee chain. - Uses a cashback-based loyalty model which provides immediate, tangible financial value to the user per transaction. - Features a clear gold status tracking system that gamifies the user's spending habits to encourage loyalty. - **[Tea Master - Brewing Timer](https://marlvel.ai/intel-report/food-drink/tea-master-brewing-timer)** by Davyd Hruts: While focused on tea, this app occupies the same 'beverage enthusiast' space by providing tools for the preparation process. - Offers specialized brewing profiles and timers that cater to the technical needs of home tea enthusiasts. - Includes a curated tea library, positioning the app as an educational resource rather than just commerce. ### New Kids on the Block (What's Innovative) - **[Honest Johns Pizzeria](https://marlvel.ai/intel-report/food-drink/honest-johns-pizzeria)** by Honest John's Pizza, Inc.: A new food-ordering app that competes for the same digital wallet share in the local food and drink category. - Integrates third-party delivery services directly into the ordering flow to simplify the logistics of food fulfillment. - **[Coffee Roast Log](https://marlvel.ai/intel-report/utilities/coffee-roast-log)** by Theodore Hopkins: A new entrant in the coffee space that focuses on the technical side of coffee production and flavor evaluation. - Provides a specialized roasting journal and batch tracking system for users interested in the coffee production process. ## What's New - **Latest (v1.0.2(2.0.135), 1 years ago):** General bug fixes and performance improvements. ## App Momentum (Zombie) {#momentum} - Released initial version in Feb 2025. - Ships stability updates via latest release. > **Cadence:** 2 total versions · 0 majors in last 6 months · 442 days since last update · 0 days avg between updates ## The "So What?" (Strategic Takeaway) {#so-what} the coffee house is an established food & drink app that is completely free. > **Bottom Line:** The Coffee House provides a functional ordering utility, but its lack of a loyalty-based retention mechanism limits its ability to compete for the daily coffee habit, so the PM should prioritize a simple rewards integration to prevent churn to established chains. **Best for:** Existing customers of the coffee house chain looking for a convenient way to order food and track their purchase history. ### PM Action Plan (Next Best Moves) - [ ] [INVEST] [HIGH IMPACT] Ship a basic loyalty points system because the current utility-only model lacks a retention loop → increase repeat purchase frequency. — *The competitor analysis shows that peers like Costa Coffee Club use loyalty models to gamify spending, which this app currently lacks.* _(trade-off: deprioritize Pause the push notification customization sprint — loyalty mechanics have a higher impact on long-term retention.)_ ### Feature Gaps vs Competitors - Loyalty/Rewards program (available in Costa Coffee Club but absent here) - Real-time order tracking (available in Dingtea Downtown but absent here) ### Outlook: Stable The coffee ordering market is consolidating around reward-integrated platforms that turn transactions into daily habits. Without a loyalty mechanism, this app remains a secondary utility for the brand, so the PM must pivot to a retention-first roadmap to avoid irrelevance. - ⚪ Recent updates focused on stability, no feature expansion, which leaves the app vulnerable to competitors with active live-ops cycles. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Total Reviews | 0 | | Confidence | Low | | Pricing Model | Free | | Platforms | iOS & Android | | Key Features | 3 analyzed | | Trend | Stable | | Outlook | Stable | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **the coffee house** (this app) | N/A/5 | N/A | My shop technologies ltd | | [Starbucks](https://marlvel.ai/intel-report/food-drink/starbucks) | 4.9/5 | Mixed | Starbucks Coffee Company | | [Brewr for Coffee Enthusiasts](https://marlvel.ai/intel-report/food-drink/brewr-for-coffee-enthusiasts) | 1.0/5 | N/A | Bart Jacobs | | [Dark Roast for Coffee Lovers](https://marlvel.ai/intel-report/food-drink/dark-roast-for-coffee-lovers) | 4.0/5 | N/A | Bart Jacobs | | [Sip'n](https://marlvel.ai/intel-report/food-drink/sip-n) | 5.0/5 | N/A | Crmb, LLC | | [Pueblo Coffee Company](https://marlvel.ai/intel-report/food-drink/pueblo-coffee-company) | 5.0/5 | N/A | Crmb, LLC | ## Company Profile - **Developer:** My shop technologies ltd ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/us/app/the-coffee-house/id6741154744?uo=4) - **Google Play:** [View on Google Play](https://play.google.com/store/apps/details?id=il.co.myshop.coffeehouse&hl=en&gl=us) - **Sources:** App store metadata. ## Related Intel Reports - [*Starbucks*](https://marlvel.ai/intel-report/food-drink/starbucks) (Starbucks Coffee Company) — 4.9/5 Rating | Mixed Sentiment - [*Brewr for Coffee Enthusiasts*](https://marlvel.ai/intel-report/food-drink/brewr-for-coffee-enthusiasts) (Bart Jacobs) — 1.0/5 Rating | N/A Sentiment - [*Dark Roast for Coffee Lovers*](https://marlvel.ai/intel-report/food-drink/dark-roast-for-coffee-lovers) (Bart Jacobs) — 4.0/5 Rating | N/A Sentiment - [*Sip'n*](https://marlvel.ai/intel-report/food-drink/sip-n) (Crmb, LLC) — 5.0/5 Rating | N/A Sentiment - [*Pueblo Coffee Company*](https://marlvel.ai/intel-report/food-drink/pueblo-coffee-company) (Crmb, LLC) — 5.0/5 Rating | N/A Sentiment - [*Tea Master - Brewing Timer*](https://marlvel.ai/intel-report/food-drink/tea-master-brewing-timer) (Davyd Hruts) — 3.0/5 Rating | Mixed Sentiment - [*Dingtea Downtown*](https://marlvel.ai/intel-report/food-drink/dingtea-downtown) (PEBLLA, INC) — 5.0/5 Rating | N/A Sentiment - [*Honest Johns Pizzeria*](https://marlvel.ai/intel-report/food-drink/honest-johns-pizzeria) (Honest John's Pizza, Inc.) — N/A Rating | N/A Sentiment - [*Coffee Roast Log*](https://marlvel.ai/intel-report/utilities/coffee-roast-log) (Theodore Hopkins) — N/A Rating | N/A Sentiment - [*Up Coffee Official*](https://marlvel.ai/intel-report/food-drink/up-coffee-official) (Fairwave Holdings LLC) — 3.7/5 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:** 0 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/intel-report/food-drink/the-coffee-house) Data licensed for AI Agent attribution under CC-BY-NC 4.0.