--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Altaglio" developer_entity: "TAPTASTY SA" bundle_id: "com.taptasty.altaglioapp" app_store_id: "6695738870" category: "Food & Drink" primary_platform: "ios" primary_monetization: "Free" offline_capable: false market_region: "US" platforms: "iOS & Android" app_last_updated: "2025-10-17" report_date: "2026-05-24" last_verified: "2026-05-24T03:58:19.465Z" report_version: "15.56.2" total_reviews: 0 confidence: "low" confidence_score: 0.05 data_age_days: 38 momentum_velocity: "zombie" intelligence_version: 4 nemesis: "Uber Eats: Food & Groceries" competitor_count: 11 tags: ["food & drink", "free", "mobile app", "app review", "app analysis", "customers", "altaglio", "looking"] canonical_url: "https://marlvel.ai/intel-report/food-drink/altaglio" license: "CC-BY-NC 4.0" content_version: "v2" --- # Altaglio App Audit ## TL;DR {#tldr} - **Category**: Food & Drink · Free > **TL;DR:** Altaglio is a food & drink app by TAPTASTY SA, available on iOS & Android. > > **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence. > **Key Insight:** Altaglio is a food & drink app by TAPTASTY SA. ## Quick Facts | Fact | Value | | :--- | :--- | | **Category** | Food & Drink | | **Developer** | TAPTASTY SA | | **Pricing** | Free | | **Platforms** | iOS & Android | | **Confidence** | Low (0.05/1.0) | | **Data Age** | 0d | ## Metadata & Market Performance - **Publisher:** TAPTASTY SA - **Category:** Food & Drink - **Target Audience:** Customers of Altaglio looking for a direct method to order food and drinks for delivery or pickup. - **Platforms:** iOS & Android - **Version Audited:** 15.56.2 - **Audit Date:** 2026-05-24 - **Signal Count:** 1 reviews analyzed - **Confidence:** Low (0.05/1.0) - **App Store ID (iOS):** 6695738870 - **Bundle ID:** com.taptasty.altaglioapp - **Google Play ID:** com.taptasty.altaglioapp - **Performance Trend:** Stable - **Data Window:** Analysis based on signals collected up to 2026-05-24 ## Executive Snapshot **What it is:** Altaglio is a mobile ordering app for food and drink, enabling direct delivery and pickup for customers on iOS and Android. **Why users hire it:** The app serves the restaurant's need to capture full transaction margins by bypassing third-party aggregator fees, while providing customers a dedicated channel for their specific brand orders. ## App DNA (Features & Intent) - **[Basic] Account Registration:** Email-based account creation for order tracking and profile management * *User Intent:* Users seek enhanced value through premium features. - **[Standard] Delivery Options:** Selection between home delivery or personal pickup for food and drink orders - **[Standard] Shopping Cart:** Product selection and management interface for food and drink items * *User Intent:* Users seek enhanced value through premium features. - **[Standard] Payment Integration:** In-app payment processing for completed orders * *User Intent:* Users seek enhanced value through premium features. ## Market Position {#market-position} Altaglio operates as a single-brand utility with no IAP or ad support, positioning itself as a cost-saving channel for the restaurant operator. The app lacks the discovery mechanics of major aggregators, relying entirely on existing brand affinity to drive installs. ## Monetization Strategy - **Model:** Free - **Tiers:** Free application with no IAP or ad support mentioned - **Analysis:** The application functions as a direct-to-consumer ordering channel for the Altaglio brand, with no evidence of monetization via subscriptions or ads. ## SWOT Analysis {#swot} **Core Strengths:** - Direct-to-consumer ordering model retains 100% of transaction margins by bypassing third-party aggregator commission fees **Critical Frictions:** - Zero rating count on both iOS and Android platforms indicates negligible user adoption **Growth Levers:** - Integration of a digital loyalty rewards program could incentivize repeat purchases and increase customer lifetime value **Market Threats:** - Aggregator-led DashPass and Uber One subscriptions create high switching costs that lock users into third-party ecosystems ## Recent Changes (v3 → v4) {#recent-changes} The application transitioned from a non-functional state to a stable but inactive maintenance mode, with sentiment data now absent due to lack of user activity. **Overall trend**: Stable **Compared at**: 2026-05-24 ### High-impact changes - **[Removed] Launch Failure Complaints** (sentiment) — Complaints regarding the application failing to launch have been removed, as the current version is stable. ### Medium-impact changes - **[Shifted] Weakness Pivot** (swot) — Weakness shifted from 'Total failure to launch' to 'Zero rating count on both iOS and Android platforms'. - **[Shifted] Outlook Trend** (positioning) — Outlook trend shifted from 'declining' to 'stable' following the resolution of critical launch errors. ## Rivals Landscape {#rivals} > Competitive positioning identified by AI analysis of app features, category, and market signals. ### Altaglio vs Uber Eats: Food & Groceries — Head to Head - **[Uber Eats: Food & Groceries](https://marlvel.ai/intel-report/food-drink/uber-eats-food-groceries)** by Uber Technologies, Inc.: Uber Eats dominates the food delivery market, directly competing with Altaglio’s core value proposition of ordering and receiving food via a mobile interface. - **Key differences:** - Massive multi-category marketplace offers groceries and retail alongside standard restaurant food delivery services - Uber One subscription creates high switching costs through integrated delivery discounts and member perks - Advanced real-time tracking infrastructure provides superior transparency compared to standard local ordering apps - **Where Altaglio wins:** - ✅ Lower overhead costs for local restaurants by avoiding the high commission fees of major aggregators - ✅ Potential for more personalized, direct relationships between the local business and their loyal customer base - **Where Uber Eats: Food & Groceries wins:** - ❌ Unmatched logistics network ensures reliable delivery times and broad geographic coverage for end users - ❌ Deep data-driven personalization engine suggests meals based on historical user behavior and local trends - **Verdict:** Altaglio should focus on niche community engagement and loyalty programs that Uber Eats' generic, high-volume model cannot replicate. ### Contenders (Strong Challengers) - **[Dune Dog Restaurant Group](https://marlvel.ai/intel-report/food-drink/dune-dog-restaurant-group)** by PopStroke: This app provides a branded mobile ordering experience for a specific restaurant group, competing for the same local dining audience. - Simplified, single-purpose interface reduces friction for repeat customers looking to order from one specific brand - Direct menu access ensures users see the most current offerings without third-party platform delays - **[Wing Zone Ordering](https://marlvel.ai/intel-report/food-drink/wing-zone-ordering)** by CAPRIOTTI'S SANDWICH SHOP, INC.: This app serves as a direct competitor for single-brand mobile ordering, focusing on specific menu customization and group ordering. - Specialized flavor customization engine allows users to tailor specific menu items beyond standard ordering options - Group pack ordering features simplify the checkout process for large office or social gathering orders - **[Caviar - Order Food Delivery](https://marlvel.ai/intel-report/food-drink/caviar-order-food-delivery)** by Caviar, Inc.: Caviar targets the premium food delivery segment, competing for the same user base looking for high-quality restaurant experiences. - Exclusive partnerships with high-end local restaurants provide a curated selection unavailable on mass-market platforms - Deep integration with DashPass ecosystem provides seamless cross-platform benefits for frequent delivery users - **[ChowNow: Local Food Ordering](https://marlvel.ai/intel-report/food-drink/chownow-local-food-ordering)** by ChowNow: ChowNow competes by positioning itself as a commission-free alternative for local restaurants, mirroring Altaglio’s direct-to-consumer ordering model. - Commission-free ordering model allows restaurants to retain higher margins while maintaining competitive menu pricing - Dedicated 24/7 human support team provides a safety net for restaurant owners during peak operations ### Peers (What They Do Better) - **[Konnichiwa Sushi](https://marlvel.ai/intel-report/food-drink/com-krokodiili-konnichiwa)** by koodikroko: Offers a comprehensive restaurant utility app including reservations and takeaway, competing for the same local dining user. - Integrated table reservation system bridges the gap between digital ordering and in-person dining experiences - Token-based collection system gamifies the takeaway process to encourage consistent customer return visits - **[El Taller](https://marlvel.ai/intel-report/food-drink/el-taller)** by Orionsoft SpA: Provides a direct ordering system for a specific restaurant, mirroring the functional scope of Altaglio’s ordering features. - Specialized dietary menu filters cater to specific health requirements directly within the ordering flow - Direct ordering system bypasses third-party aggregators to ensure maximum revenue retention for the restaurant - **[Tare: Ingredient Converter](https://marlvel.ai/intel-report/food-drink/com-kitchenconverterpro-app)** by Cameron Mcconnell: While utility-focused, it occupies the same 'Food & Drink' category and targets users engaged in food preparation and management. - Density-aware conversion logic provides higher accuracy for professional-grade recipe scaling than standard kitchen calculators - Robust offline functionality ensures the tool remains usable in kitchens with poor cellular connectivity - **[Blue Nile Injera](https://marlvel.ai/intel-report/food-drink/blue-nile-injera)** by Berhane Asbu Asmelash: Operates in the same niche of direct restaurant ordering, focusing on loyalty and transaction history for a specific cuisine. - Integrated loyalty rewards program incentivizes repeat purchases directly within the restaurant's own digital ecosystem - Comprehensive transaction history allows users to easily reorder past favorites with a single tap ### New Kids on the Block (What's Innovative) - **[Leonidas](https://marlvel.ai/intel-report/food-drink/leonidas)** by Carlos Mandeiro: A newcomer focusing on digital loyalty, competing for the same user attention regarding restaurant rewards and incentives. - Streamlined digital loyalty card removes the need for physical punch cards or fragmented reward tracking - **[Brewly](https://marlvel.ai/intel-report/food-drink/brewly)** by Brewly: A new entrant focusing on cafe subscriptions, representing a modern, loyalty-first approach to the food and drink sector. - Subscription-based cafe model creates recurring revenue streams and predictable customer foot traffic patterns ## What's New - **Latest (v15.56.2, 7 months ago):** Updated user level system, alongside general bug fixes and performance optimizations. ## App Momentum (Zombie) {#momentum} - Last major release Oct 2025. - No notable feature signals last quarter. > **Cadence:** 2 total versions · 0 majors in last 6 months · 218 days since last update · 1 days avg between updates ## The "So What?" (Strategic Takeaway) {#so-what} Altaglio is an established food & drink app that is completely free. > **Bottom Line:** Altaglio secures full transaction margins by owning the ordering channel, but the lack of user-facing loyalty incentives makes it vulnerable to aggregator convenience, so the PM should prioritize a simple rewards program to anchor repeat usage. **Best for:** Customers of Altaglio looking for a direct method to order food and drinks for delivery or pickup. ### PM Action Plan (Next Best Moves) - [ ] [INVEST] [HIGH IMPACT] Ship digital loyalty rewards program because zero rating count indicates low user retention → increase repeat purchase frequency — *Zero rating count across platforms signals a lack of user engagement and retention loops.* _(trade-off: deprioritize Push the UI redesign sprint to Q1 — loyalty mechanics have higher impact on retention than aesthetic updates.)_ ### Feature Gaps vs Competitors - Real-time delivery tracking (available in Uber Eats but absent here) - Digital loyalty rewards program (available in Blue Nile Injera but absent here) ### Outlook: Stable The food ordering market is consolidating around high-frequency aggregator platforms, leaving single-brand apps like Altaglio exposed to low discovery rates. The app must transition from a passive ordering utility to an active loyalty engine to survive the shift in consumer ordering habits. - ⚪ The app remains in maintenance mode with no new feature additions, signaling a focus on operational stability rather than growth. - 🔴 Zero rating count across platforms suggests a failure to convert in-store customers to the digital channel, which limits the app's utility. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Total Reviews | 0 | | Confidence | Low | | Pricing Model | Free | | Platforms | iOS & Android | | Key Features | 4 analyzed | | Trend | Stable | | Outlook | Stable | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Altaglio** (this app) | N/A/5 | N/A | TAPTASTY SA | | [Konnichiwa Sushi](https://marlvel.ai/intel-report/food-drink/com-krokodiili-konnichiwa) | 4.0/5 | N/A | koodikroko | | [Tare: Ingredient Converter](https://marlvel.ai/intel-report/food-drink/com-kitchenconverterpro-app) | 5.0/5 | N/A | Cameron Mcconnell | | [Uber Eats: Food & Groceries](https://marlvel.ai/intel-report/food-drink/uber-eats-food-groceries) | 4.8/5 | Frustrated | Uber Technologies, Inc. | | [Caviar - Order Food Delivery](https://marlvel.ai/intel-report/food-drink/caviar-order-food-delivery) | 4.8/5 | Excited | Caviar, Inc. | | [ChowNow: Local Food Ordering](https://marlvel.ai/intel-report/food-drink/chownow-local-food-ordering) | 4.7/5 | Excited | ChowNow | ## Company Profile - **Developer:** TAPTASTY SA ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/us/app/altaglio/id6695738870?uo=4) - **Google Play:** [View on Google Play](https://play.google.com/store/apps/details?id=com.taptasty.altaglioapp&hl=en&gl=us) - **Sources:** App store metadata. ## Related Intel Reports - [*Konnichiwa Sushi*](https://marlvel.ai/intel-report/food-drink/com-krokodiili-konnichiwa) (koodikroko) — 4.0/5 Rating | N/A Sentiment - [*Tare: Ingredient Converter*](https://marlvel.ai/intel-report/food-drink/com-kitchenconverterpro-app) (Cameron Mcconnell) — 5.0/5 Rating | N/A Sentiment - [*Uber Eats: Food & Groceries*](https://marlvel.ai/intel-report/food-drink/uber-eats-food-groceries) (Uber Technologies, Inc.) — 4.8/5 Rating | Negative Sentiment - [*Caviar - Order Food Delivery*](https://marlvel.ai/intel-report/food-drink/caviar-order-food-delivery) (Caviar, Inc.) — 4.8/5 Rating | Positive Sentiment - [*ChowNow: Local Food Ordering*](https://marlvel.ai/intel-report/food-drink/chownow-local-food-ordering) (ChowNow) — 4.7/5 Rating | Positive Sentiment - [*Wing Zone Ordering*](https://marlvel.ai/intel-report/food-drink/wing-zone-ordering) (CAPRIOTTI'S SANDWICH SHOP, INC.) — N/A Rating | N/A Sentiment - [*Dune Dog Restaurant Group*](https://marlvel.ai/intel-report/food-drink/dune-dog-restaurant-group) (PopStroke) — N/A Rating | N/A Sentiment - [*Brewly*](https://marlvel.ai/intel-report/food-drink/brewly) (Brewly) — N/A Rating | N/A Sentiment - [*Blue Nile Injera*](https://marlvel.ai/intel-report/food-drink/blue-nile-injera) (Berhane Asbu Asmelash) — 5.0/5 Rating | N/A Sentiment - [*Leonidas*](https://marlvel.ai/intel-report/food-drink/leonidas) (Carlos Mandeiro) — N/A 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:** 1 - **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/altaglio) Data licensed for AI Agent attribution under CC-BY-NC 4.0.