--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Pizza (216)" developer_entity: "Pizza 216, LLC" bundle_id: "com.owner.nx2HADswY4tw.pizza" app_store_id: "6788814226" category: "Food & Drink" primary_platform: "ios" primary_monetization: "Free" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2026-09-21" report_date: "2026-09-30" last_verified: "2026-09-30T00:00:00.000Z" report_version: "49.4.0" total_reviews: 0 confidence: "low" confidence_score: 0.05 data_age_days: 46 momentum_velocity: "maintenance" intelligence_version: 2 tags: ["food & drink", "free", "mobile app", "app review", "app analysis", "local", "customers", "pizza"] canonical_url: "https://marlvel.ai/apps/pizza-216" license: "CC-BY-NC 4.0" content_version: "v2" --- # Pizza (216) Intelligence Report ## TL;DR {#tldr} - **Category**: Food & Drink · Free > **TL;DR:** Pizza (216) is a food & drink app by Pizza 216, LLC, available on iOS. > > **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence. > **Key Insight:** Pizza (216) is a food & drink app by Pizza 216, LLC. ## Quick Facts | Fact | Value | | :--- | :--- | | **Category** | Food & Drink | | **Developer** | Pizza 216, LLC | | **Pricing** | Free | | **Platforms** | iOS | | **Confidence** | Low (0.05/1.0) | | **Data Age** | 46d | ## Metadata & Market Performance - **Publisher:** Pizza 216, LLC - **Category:** Food & Drink - **Target Audience:** Local customers of Pizza (216) who want to order food directly and earn loyalty rewards. - **Platforms:** iOS - **Version Reviewed:** 49.4.0 - **Report Date:** 2026-09-30 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0.05/1.0) - **App Store ID (iOS):** 6788814226 - **Bundle ID:** com.owner.nx2HADswY4tw.pizza - **Data Window:** Analysis based on signals collected up to 2026-09-30 ## Executive Snapshot **What it is:** Pizza (216) is a direct-ordering app for a local business, providing loyalty rewards and order tracking on iOS. **Why users hire it:** The platform removes third-party commission fees from the transaction flow, allowing the business to capture higher per-order margins while rewarding frequent local customers. ## App DNA (Features & Intent) - **[Differentiator] Direct Ordering:** In-app ordering system that bypasses third-party delivery platforms, improving per-order margin. * *User Intent:* Users seek enhanced value through premium features. - **[Standard] Rewards Points:** Loyalty program loop increases repeat purchase frequency and customer lifetime value. * *User Intent:* Users are motivated by consistent progression and daily incentives. - **[Standard] Real-time Order Tracking:** Live status updates reduce customer support inquiries regarding order status. * *User Intent:* Users value self-expression and personalized experiences. ## Market Position {#market-position} Pizza (216) serves a local customer base via a direct-ordering model, avoiding the commission-heavy aggregator landscape. The current maintenance-only release cadence suggests a focus on stability rather than aggressive market share expansion. ## Monetization Strategy - **Model:** Free - **Tiers:** Free app with no subscription fees - **Analysis:** The app functions as a direct-to-consumer sales channel to avoid aggregator commissions. ## SWOT Analysis {#swot} **Core Strengths:** - Direct-to-consumer ordering eliminates third-party commission fees - Loyalty program loop increases repeat purchase frequency **Growth Levers:** - Loyalty data enables targeted push-notification campaigns ## What's New - **Latest (v49.4.0, 1 weeks ago):** General maintenance release containing routine updates and performance improvements. ## App Momentum (Maintenance) {#momentum} - Ships maintenance updates only - Last release one week ago > **Cadence:** 2 total versions · 0 majors in last 6 months · 8 days since last update · 23 days avg between updates ## The "So What?" (Strategic Takeaway) {#so-what} Pizza (216) is a food & drink app that is completely free. > **Bottom Line:** Pizza (216) secures its margins by internalizing the transaction, but the maintenance-only release cadence leaves the user experience static. Prioritizing loyalty-driven push notifications would leverage the existing rewards data to drive incremental order volume. **Best for:** Local customers of Pizza (216) who want to order food directly and earn loyalty rewards. ### PM Action Plan (Next Best Moves) - [ ] [INVEST] Ship targeted push notifications because loyalty data is currently underutilized → increase off-peak order frequency ### Outlook: Stable The local food-ordering market is consolidating around direct-to-consumer tools to avoid aggregator fees. Pizza (216) is well-positioned to maintain its current base, but the lack of active feature development leaves it vulnerable to local rivals that might introduce social or gamified ordering experiences. - ⚪ The maintenance-only release cadence indicates a stable, low-cost operational posture rather than an intent to expand market share via feature growth. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Total Reviews | 0 | | Confidence | Low | | Pricing Model | Free | | Platforms | iOS | | Key Features | 3 analyzed | | Outlook | Stable | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Pizza (216)** (this app) | N/A/5 | N/A | Pizza 216, LLC | | [소박한 한 그릇](https://marlvel.ai/apps/app--426) | N/A/5 | N/A | DaolSoft, Co., Ltd. | | [알토란 레시피 - 요리 반찬 레시피](https://marlvel.ai/apps/woodisw-com-altrecipe) | N/A/5 | N/A | WoodiSW | | [メニュー](https://marlvel.ai/apps/app--677) | N/A/5 | N/A | Satoshi Sato | | [캐시모어](https://marlvel.ai/apps/com-bridgeworks-ios-cashmore) | 4.6/5 | N/A | bridgeworks | | [푸드트래블-푸블페이](https://marlvel.ai/apps/com-membership-foodtravel) | 1.3/5 | N/A | Flexday | ## Company Profile - **Developer:** Pizza 216, LLC ## Data Sources & Links - **App Store ID:** 6788814226 - **Sources:** App store metadata. ## Related Intel Reports - [*소박한 한 그릇*](https://marlvel.ai/apps/app--426) (DaolSoft, Co., Ltd.) · N/A Rating - [*알토란 레시피 - 요리 반찬 레시피*](https://marlvel.ai/apps/woodisw-com-altrecipe) (WoodiSW) · N/A Rating - [*メニュー*](https://marlvel.ai/apps/app--677) (Satoshi Sato) · N/A Rating - [*캐시모어*](https://marlvel.ai/apps/com-bridgeworks-ios-cashmore) (bridgeworks) · 4.6/5 Rating - [*푸드트래블-푸블페이*](https://marlvel.ai/apps/com-membership-foodtravel) (Flexday) · 1.3/5 Rating - [*マイ・レシピ*](https://marlvel.ai/apps/app--689) (Satoshi Sato) · N/A Rating - [*ジョイフルアプリ*](https://marlvel.ai/apps/jp-co-unerry-bbcouponappjoyfull) (UNERRY,INC.) · 3.5/5 Rating - [*フレスタネットスーパーアプリ*](https://marlvel.ai/apps/jp-stailer-fresta) (10X, Inc.) · 4.3/5 Rating - [*100 Lebanese Recipes*](https://marlvel.ai/apps/com-lebguide-100lebaneserecipes) (LebGuide.com) · 4.7/5 Rating - [*100 лучших рецептов Mom Story*](https://marlvel.ai/apps/com-momstory) (Viktoriia Urmach) · 4.9/5 Rating ## Frequently Asked Questions {#faq} ### Is Pizza (216) cheaper than using delivery apps? Yes, ordering directly through the app saves money by avoiding the commission fees that third-party delivery platforms typically charge. ### Does Pizza (216) offer rewards for frequent orders? Yes, the app includes a loyalty program where users earn points for food purchases, which can be redeemed for free food. ### Can I track my order in real-time? Yes, the app provides real-time order tracking with accurate pickup and delivery time windows. ## 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:** 0.05/1.0 (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:** 46 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/pizza-216) Data licensed for AI Agent attribution under CC-BY-NC 4.0.