--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Lotre entrecote" developer_entity: "koein apps" bundle_id: "com.weevi.lotreentrecote" app_store_id: "6746335062" category: "Food & Drink" primary_platform: "ios" primary_monetization: "Free" offline_capable: false market_region: "US" platforms: "iOS & Android" app_last_updated: "2025-06-03" report_date: "2026-05-23" last_verified: "2026-05-23T07:45:11.750Z" report_version: "1.0" total_reviews: 0 confidence: "low" confidence_score: 0.3 data_age_days: 54 momentum_velocity: "zombie" intelligence_version: 4 nemesis: "Uber Eats: Food & Groceries" competitor_count: 11 tags: ["food & drink", "free", "mobile app", "app review", "app analysis", "local", "customers", "lebanon"] canonical_url: "https://marlvel.ai/apps/lotre-entrecote" license: "CC-BY-NC 4.0" content_version: "v2" --- # Lotre entrecote App Audit ## TL;DR {#tldr} - **Category**: Food & Drink · Free > **TL;DR:** Lotre entrecote is a food & drink app by koein apps, available on iOS & Android. > > **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence. > **Key Insight:** Lotre entrecote is a food & drink app by koein apps. ## Quick Facts | Fact | Value | | :--- | :--- | | **Category** | Food & Drink | | **Developer** | koein apps | | **Pricing** | Free | | **Platforms** | iOS & Android | | **Confidence** | Low (0.3/1.0) | | **Data Age** | 54d | ## Metadata & Market Performance - **Publisher:** koein apps - **Category:** Food & Drink - **Target Audience:** Local customers in Lebanon seeking a digital ordering experience for restaurant pickup or delivery. - **Platforms:** iOS & Android - **Version Audited:** 1.0 - **Audit Date:** 2026-05-23 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0.3/1.0) - **App Store ID (iOS):** 6746335062 - **Bundle ID:** com.weevi.lotreentrecote - **Google Play ID:** com.weevi.lotreentrecote - **Performance Trend:** Stable - **Data Window:** Analysis based on signals collected up to 2026-05-23 ## Executive Snapshot **What it is:** Lotre entrecote is a restaurant-specific ordering app for local pickup and loyalty rewards on iOS and Android. **Why users hire it:** The app serves customers who want to avoid third-party delivery commissions while earning direct rewards for their loyalty to the restaurant. ## App DNA (Features & Intent) - **[Differentiator] Loyalty Program:** Points-based system for earning and redeeming rewards on purchases * *User Intent:* Users are motivated by consistent progression and daily incentives. - **[Differentiator] Spin the Wheel:** Interactive competition feature for rewards * *User Intent:* Users are motivated by consistent progression and daily incentives. - **[Standard] Customized Ordering:** User-defined item modifications and preferences saved for future orders * *User Intent:* Users value self-expression and personalized experiences. ## Market Position {#market-position} Lotre entrecote currently holds zero ratings across both iOS and Android platforms, indicating a nascent market presence. The lack of chart visibility necessitates a heavy reliance on offline restaurant marketing to drive initial install velocity. ## Monetization Strategy - **Model:** Free - **Tiers:** Free app access for all users - **Analysis:** The app functions as a direct-to-consumer sales channel for the restaurant, monetizing through food transactions rather than subscription or ad revenue. ## SWOT Analysis {#swot} **Core Strengths:** - Direct-to-consumer channel eliminates third-party commission fees - Gamified loyalty program (Spin the Wheel) encourages repeat visits **Critical Frictions:** - Zero rating count across platforms - No real-time delivery tracking **Growth Levers:** - Untapped local delivery partnerships - Tiered loyalty rewards for high-frequency users **Market Threats:** - Aggregator convenience (Uber Eats) drains casual users - New entrants with one-tap reordering (Annie's Pizzeria) reduce friction ## Recent Changes (v3 → v4) {#recent-changes} The app remains in a zombie development state, but the competitive intelligence framework has been updated to include specific functional rivals and a refined roadmap focused on reducing ordering friction. **Overall trend**: Stable **Compared at**: 2026-05-23 ### High-impact changes - **[Shifted] Competitive Landscape Expansion** (positioning) — The nemesis list expanded from a single regional focus (Talabat) to a broader set of direct delivery competitors including Uber Eats, ChowNow, and Caviar. - **[Shifted] Roadmap Priority Shift** (features) — PM action items shifted from prioritizing real-time tracking to implementing one-tap reordering to match the convenience of new entrants like Annie's Pizzeria MA. ### Medium-impact changes - **[Shifted] Threat Landscape Update** (swot) — Threats were updated to specifically cite Uber Eats and Annie's Pizzeria MA, replacing generic references to regional aggregators. ## Rivals Landscape {#rivals} > Competitive positioning identified by AI analysis of app features, category, and market signals. ### Lotre entrecote vs Uber Eats: Food & Groceries — Head to Head - **[Uber Eats: Food & Groceries](https://marlvel.ai/apps/uber-eats-food-groceries)** by Uber Technologies, Inc.: Uber Eats is the primary market nemesis, competing directly for the same food delivery audience through a massive, multi-category marketplace that dwarfs the target app's niche ordering capabilities. - **Key differences:** - Offers a multi-category marketplace including groceries and retail, far exceeding the target app's restaurant-only focus. - Leverages the Uber One subscription model to drive high-frequency repeat orders through exclusive member perks. - Provides sophisticated real-time GPS tracking that offers superior transparency compared to standard order status notifications. - **Where Lotre entrecote wins:** - ✅ Lower overhead costs for restaurants by avoiding the high commission fees typical of major aggregators. - ✅ More personalized, direct relationship with customers without the interference of a third-party delivery middleman. - **Where Uber Eats: Food & Groceries wins:** - ❌ Unmatched logistics network and delivery speed powered by a massive fleet of independent gig workers. - ❌ Deep data-driven personalization and algorithmic recommendations that keep users engaged within the ecosystem. - **Verdict:** The target app cannot compete on logistics scale; it must double down on brand loyalty and exclusive direct-to-consumer promos to retain its core local base. ### Contenders (Strong Challengers) - **[ChowNow: Local Food Ordering](https://marlvel.ai/apps/chownow-local-food-ordering)** by ChowNow: ChowNow is a direct functional competitor, providing commission-free ordering systems that mirror the target app's core value proposition. - Provides 24/7 human support, offering a higher level of service reliability than the target app's automated system. - Focuses on a commission-free model that directly aligns with the target app's goal of supporting local businesses. - **[Caviar - Order Food Delivery](https://marlvel.ai/apps/caviar-order-food-delivery)** by Caviar, Inc.: Caviar competes for the premium dining segment, offering exclusive restaurant partnerships that challenge the target app's menu variety. - Curates exclusive restaurant partnerships that provide high-end dining options unavailable on standard mass-market delivery platforms. - Integrates with DashPass to provide a seamless subscription experience for frequent users across multiple platforms. - **[Radoo: Delivery Local](https://marlvel.ai/apps/app-radoo-radooapp)** by Radware Labs: Radoo positions itself as a direct competitor by focusing on ethical labor and eco-friendly logistics, appealing to values-driven consumers. - Differentiates through an ethical labor model that attracts socially conscious consumers away from traditional gig platforms. - Utilizes eco-friendly logistics to appeal to environmentally aware demographics that the target app currently ignores. - **[Get Eazy](https://marlvel.ai/apps/get-eazy)** by Localites Private Limited: Get Eazy competes by offering a broader local marketplace experience that includes in-app wallet functionality and cash-on-delivery options. - Integrates an in-app wallet system to streamline payments and encourage higher user retention through balance. - Supports cash-on-delivery, capturing a segment of the market that prefers physical payment over digital transactions. ### Peers (What They Do Better) - **[Konnichiwa Sushi](https://marlvel.ai/apps/com-krokodiili-konnichiwa)** by koodikroko: This app competes for the same local dining market by offering table reservations alongside takeaway ordering. - Integrates table reservation capabilities, allowing users to choose between dining in or ordering takeaway delivery. - Uses a token collection system to gamify the ordering experience and encourage long-term customer loyalty. - **[El Taller](https://marlvel.ai/apps/el-taller)** by Orionsoft SpA: El Taller competes by offering a specialized direct ordering system tailored to specific dietary needs. - Offers a specialized dietary menu filter that helps users with specific health requirements find suitable food. - Provides a streamlined direct ordering system that minimizes friction for repeat customers of the establishment. - **[Tare: Ingredient Converter](https://marlvel.ai/apps/com-kitchenconverterpro-app)** by Cameron Mcconnell: While more utility-focused, it competes for the same 'Food & Drink' category attention by assisting users in the kitchen. - Provides density-aware ingredient conversion tools that offer utility beyond simple ordering for home-cooking enthusiasts. - Includes robust offline functionality, allowing users to access critical kitchen data without a constant internet connection. - **[Blue Nile Injera](https://marlvel.ai/apps/blue-nile-injera)** by Berhane Asbu Asmelash: This app serves a similar niche audience by focusing on specific restaurant loyalty and direct menu ordering. - Features a dedicated loyalty rewards program that incentivizes repeat visits more effectively than standard ordering apps. - Includes a detailed transaction history feature that helps users track their spending and favorite past orders. ### New Kids on the Block (What's Innovative) - **[Honest Johns Pizzeria](https://marlvel.ai/apps/honest-johns-pizzeria)** by Honest John's Pizza, Inc.: This newcomer competes by integrating third-party delivery services, expanding the reach of their direct ordering platform. - Integrates third-party delivery services to provide flexible fulfillment options that the target app currently lacks. - **[Annie's Pizzeria MA](https://marlvel.ai/apps/annie-s-pizzeria-ma)** by Avco Industries: A new entrant focusing on rapid, one-tap reordering that threatens the target app's convenience-focused user base. - Implements a one-tap reordering feature that significantly reduces the time required to complete a repeat purchase. ## App Momentum (Zombie) {#momentum} - Released initial version June 2025. - Ships direct ordering and loyalty features. > **Cadence:** 2 total versions · 0 majors in last 6 months · 354 days since last update · 1 days avg between updates ## The "So What?" (Strategic Takeaway) {#so-what} Lotre entrecote is an established food & drink app that is completely free. > **Bottom Line:** Lotre entrecote provides a necessary direct-ordering channel for the restaurant, but it lacks the logistics transparency of mass-market aggregators, so the PM should prioritize one-tap reordering to minimize friction and retain the local customer base. **Best for:** Local customers in Lebanon seeking a digital ordering experience for restaurant pickup or delivery. ### PM Action Plan (Next Best Moves) - [ ] [INVEST] [HIGH IMPACT] Implement one-tap reordering because Annie's Pizzeria MA uses it to reduce friction → increase repeat order frequency — *Competitor analysis identifies one-tap reordering as a key differentiator for new entrants in the food ordering space.* _(trade-off: deprioritize Deprioritize the Spin the Wheel UI refresh — one-tap reordering has a direct impact on conversion.)_ ### Feature Gaps vs Competitors - Real-time GPS tracking (available in Uber Eats but absent here) - One-tap reordering (available in Annie's Pizzeria MA but absent here) - In-app wallet system (available in Get Eazy but absent here) ### Outlook: Stable The local food ordering market is consolidating around platforms that offer high-transparency logistics and rapid reordering. Lotre entrecote remains exposed to these competitors due to its manual ordering flow, so the PM must accelerate feature parity to prevent churn to more convenient aggregators. - ⚪ The app launched in June 2025 and currently maintains a baseline feature set without recent updates, indicating a focus on stability. ## 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 | | :--- | :--- | :--- | :--- | | **Lotre entrecote** (this app) | N/A/5 | N/A | koein apps | | [Konnichiwa Sushi](https://marlvel.ai/apps/com-krokodiili-konnichiwa) | 4.0/5 | N/A | koodikroko | | [Radoo: Delivery Local](https://marlvel.ai/apps/app-radoo-radooapp) | 4.8/5 | N/A | Radware Labs | | [Tare: Ingredient Converter](https://marlvel.ai/apps/com-kitchenconverterpro-app) | 5.0/5 | N/A | Cameron Mcconnell | | [Uber Eats: Food & Groceries](https://marlvel.ai/apps/uber-eats-food-groceries) | 4.8/5 | Frustrated | Uber Technologies, Inc. | | [Caviar - Order Food Delivery](https://marlvel.ai/apps/caviar-order-food-delivery) | 4.8/5 | Excited | Caviar, Inc. | ## Company Profile - **Developer:** koein apps - **Website:** [https://lotreentrecote.com/](https://lotreentrecote.com/) - **Social:** [Instagram](https://www.instagram.com/lotreentrecote) · [Facebook](https://www.facebook.com/profile.php?id=61570298664123) · [TikTok](https://www.tiktok.com/@lotre.entrecote) ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/us/app/lotre-entrecote/id6746335062?uo=4) - **Google Play:** [View on Google Play](https://play.google.com/store/apps/details?id=com.weevi.lotreentrecote&hl=en&gl=us) - **Dev Site:** [Official Website](https://lotreentrecote.com/) - **Sources:** Developer website content, About us / company information, App store metadata. ## Related Intel Reports - [*Konnichiwa Sushi*](https://marlvel.ai/apps/com-krokodiili-konnichiwa) (koodikroko) — 4.0/5 Rating | N/A Sentiment - [*Radoo: Delivery Local*](https://marlvel.ai/apps/app-radoo-radooapp) (Radware Labs) — 4.8/5 Rating | N/A Sentiment - [*Tare: Ingredient Converter*](https://marlvel.ai/apps/com-kitchenconverterpro-app) (Cameron Mcconnell) — 5.0/5 Rating | N/A Sentiment - [*Uber Eats: Food & Groceries*](https://marlvel.ai/apps/uber-eats-food-groceries) (Uber Technologies, Inc.) — 4.8/5 Rating | Negative Sentiment - [*Caviar - Order Food Delivery*](https://marlvel.ai/apps/caviar-order-food-delivery) (Caviar, Inc.) — 4.8/5 Rating | Positive Sentiment - [*ChowNow: Local Food Ordering*](https://marlvel.ai/apps/chownow-local-food-ordering) (ChowNow) — 4.7/5 Rating | Positive Sentiment - [*Get Eazy*](https://marlvel.ai/apps/get-eazy) (Localites Private Limited) — 5.0/5 Rating | Excellent Sentiment - [*Honest Johns Pizzeria*](https://marlvel.ai/apps/honest-johns-pizzeria) (Honest John's Pizza, Inc.) — N/A Rating | N/A Sentiment - [*Annie's Pizzeria MA*](https://marlvel.ai/apps/annie-s-pizzeria-ma) (Avco Industries) — N/A Rating | N/A Sentiment - [*Blue Nile Injera*](https://marlvel.ai/apps/blue-nile-injera) (Berhane Asbu Asmelash) — 5.0/5 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:** 0.3/1.0 (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:** 54 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/lotre-entrecote) Data licensed for AI Agent attribution under CC-BY-NC 4.0.