---
schema_type: "SoftwareApplication"
entity_type: "Mobile Application"
app_name: "Frasses"
developer_entity: "UpMenu"
bundle_id: "com.UpMenu.Frasses"
app_store_id: "1563809020"
google_play_id: "com.upmenu.frasses"
category: "Food & Drink"
primary_platform: "ios"
primary_monetization: "Free"
offline_capable: false
market_region: "US"
platforms: "iOS & Android"
app_last_updated: "2025-10-28"
report_date: "2026-05-20"
last_verified: "2026-05-20T20:38:04.259Z"
report_version: "3.1.1"
total_reviews: 0
confidence: "low"
confidence_score: 0.05
data_age_days: 64
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", "frasses"]
canonical_url: "https://marlvel.ai/apps/frasses"
license: "CC-BY-NC 4.0"
content_version: "v2"
---

# Frasses App Audit

## TL;DR {#tldr}

- **Category**: Food & Drink · Free

> **TL;DR:** Frasses is a food & drink app by UpMenu, available on iOS & Android.
>
> **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence.

<!-- speakable-start -->
> **Key Insight:** Frasses is a food & drink app by UpMenu.
<!-- speakable-end -->

## Quick Facts

| Fact | Value |
| :--- | :--- |
| **Category** | Food & Drink |
| **Developer** | UpMenu |
| **Pricing** | Free |
| **Platforms** | iOS & Android |
| **Confidence** | Low (0.05/1.0) |
| **Data Age** | 64d |

## Metadata & Market Performance
- **Publisher:** UpMenu
- **Category:** Food & Drink
- **Target Audience:** Local customers of Frasses looking to order food for delivery or pickup.
- **Platforms:** iOS & Android
- **Version Audited:** 3.1.1
- **Audit Date:** 2026-05-20
- **Signal Count:** 0 reviews analyzed
- **Confidence:** Low (0.05/1.0)
- **App Store ID (iOS):** 1563809020
- **Bundle ID:** com.UpMenu.Frasses
- **Google Play ID:** com.upmenu.frasses
- **Performance Trend:** Stable
- **Data Window:** Analysis based on signals collected up to 2026-05-20

<!-- section:executive-snapshot -->
## Executive Snapshot
**What it is:** Frasses is a single-brand food ordering app for iOS and Android that allows customers to place delivery or pickup orders directly.
**Why users hire it:** Users hire Frasses to bypass third-party delivery commissions and maintain a direct relationship with their preferred local restaurant, ensuring higher order margins for the brand.
<!-- /section:executive-snapshot -->

<!-- section:features -->
## App DNA (Features & Intent)
- **[Standard] Online Ordering:** Direct food ordering interface for restaurant menu items
- **[Standard] Menu and Promotion Display:** Real-time view of current food offerings and active discount campaigns
  * *User Intent:* Users seek enhanced value through premium features.
- **[Standard] Order History:** Log of past transactions accessible within the user profile
  * *User Intent:* Users seek enhanced value through premium features.
<!-- /section:features -->

<!-- section:market-position -->
## Market Position {#market-position}

Frasses occupies the single-brand utility niche, competing against multi-category aggregators by prioritizing direct-to-consumer margin retention over marketplace discovery.
<!-- /section:market-position -->

## Monetization Strategy
- **Model:** Free
- **Tiers:** Free application with no in-app purchases
- **Analysis:** The application functions as a free utility to facilitate direct-to-consumer sales for the restaurant.

<!-- section:swot -->
## SWOT Analysis {#swot}

**Core Strengths:**
- Direct brand relationship eliminates third-party commission costs per order
- Simplified UX avoids marketplace clutter of third-party delivery apps

**Critical Frictions:**
- No gamified loyalty program to incentivize repeat dining occasions
- Static operational hours display lacks real-time availability status

**Growth Levers:**
- Integrate digital loyalty punch-card to increase order frequency
- Add push notifications for time-sensitive promotional offers

**Market Threats:**
- Aggregator-led discovery models siphon new customers away from direct-ordering apps
- Third-party delivery apps offer superior real-time order tracking transparency

<!-- /section:swot -->
## Recent Changes (v3 → v4) {#recent-changes}

The app remains in a zombie development state, but the competitive framework has been updated to benchmark against larger marketplace aggregators and prioritize loyalty-based retention.

**Overall trend**: Stable
**Compared at**: 2026-05-20

### High-impact changes
- **[Shifted] Competitive Nemesis Pivot** (positioning) — Primary nemesis changed from Papa Johns to Uber Eats, shifting the competitive focus from single-brand utility to multi-category marketplace scale.

### Medium-impact changes
- **[Added] Aggregator Discovery Threat** (swot) — Added threat regarding aggregator-led discovery models siphoning new customers away from direct-ordering apps.
- **[Added] Support Gap Identification** (features) — Added 24/7 human support to feature gaps, benchmarking against ChowNow.
- **[Shifted] Operational Hours Weakness** (swot) — Weakness description shifted from general lack of transparency to specific lack of real-time availability status.

<!-- section:rivals -->
## Rivals Landscape {#rivals}

> Competitive positioning identified by AI analysis of app features, category, and market signals.

### Frasses 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 competes directly for the same food delivery market share, leveraging a massive multi-category marketplace that dwarfs Frasses' single-brand ordering capabilities.
  - **Key differences:**
    - Offers a comprehensive multi-category marketplace including groceries and retail, unlike Frasses' single-brand restaurant focus.
    - Provides a robust Uber One subscription model that incentivizes repeat usage through exclusive delivery fee waivers.
    - Features advanced real-time order tracking and logistics infrastructure that provides superior transparency compared to standard ordering.
  - **Where Frasses wins:**
    - ✅ Direct brand relationship allows for lower commission costs and higher margins per order.
    - ✅ Simplified, focused UX avoids the clutter and distraction of a massive third-party marketplace.
  - **Where Uber Eats: Food & Groceries wins:**
    - ❌ Unmatched network effects from a massive driver fleet and global user base.
    - ❌ Advanced algorithmic personalization and cross-category loyalty rewards drive significantly higher retention.
  - **Verdict:** Frasses should double down on brand loyalty and direct-to-consumer incentives to avoid competing on logistics, where Uber's scale is insurmountable.

### Contenders (Strong Challengers)
- **[Red Lobster Dining Rewards App](https://marlvel.ai/apps/com-redlobster-rewards)** by Red Lobster: This app competes for the same customer loyalty by using a sophisticated status-tier system to drive repeat visits.
  - Implements a multi-tier status program that creates long-term psychological lock-in through exclusive member offers.
  - Combines mobile ordering with a robust rewards dashboard to keep users engaged between dining occasions.
- **[Caviar - Order Food Delivery](https://marlvel.ai/apps/caviar-order-food-delivery)** by Caviar, Inc.: Caviar competes for the premium segment of the food delivery market, overlapping with Frasses' goal of providing high-quality dining experiences.
  - Curates exclusive restaurant partnerships that provide a unique, high-end inventory not found on standard delivery apps.
  - Leverages deep DashPass integration to provide seamless cross-platform benefits for frequent delivery users.
- **[ChowNow: Local Food Ordering](https://marlvel.ai/apps/chownow-local-food-ordering)** by ChowNow: ChowNow challenges Frasses by positioning itself as a commission-free alternative that connects users to local restaurants.
  - Provides 24/7 human support, offering a significant service advantage over automated or limited-support ordering platforms.
  - Focuses on commission-free ordering, which attracts price-sensitive users and restaurant partners seeking higher margins.
- **[Koji Express](https://marlvel.ai/apps/koji-express)** by Koji Express Japanese Grill Inc.: Koji Express competes for the same digital-first customer base by offering a specialized loyalty program and meal customization tools.
  - Integrates a dedicated loyalty rewards program that gamifies repeat purchases more effectively than standard ordering.
  - Offers advanced meal customization options that allow users to tailor orders beyond basic menu selections.

### Peers (What They Do Better)
- **[Boss Griddle Recipes](https://marlvel.ai/apps/boss-griddle-recipes)** by Florencia Martigani: This app competes for user attention within the food category by providing content-driven engagement.
  - Builds engagement through a creator-following model that fosters a community-driven approach to cooking content.
  - Features a specialized recipe library that serves as a discovery tool rather than a transactional platform.
- **[When Was This Opened?](https://marlvel.ai/apps/com-createinc-0520bc5407634b5b96d3ef91f2582d3b)** by Christopher Romani: This app addresses food safety and management, overlapping with the broader food-tech ecosystem.
  - Prioritizes local data processing to ensure user privacy and security for sensitive food safety tracking.
  - Includes a comprehensive safety guidance database that adds value beyond simple transactional ordering features.
- **[Tare: Ingredient Converter](https://marlvel.ai/apps/com-kitchenconverterpro-app)** by Cameron Mcconnell: While functional, it occupies the same food-tech category by providing utility tools for the home cooking audience.
  - Offers density-aware conversion logic that provides higher accuracy for professional or serious home cooks.
  - Functions entirely offline, removing the dependency on internet connectivity required by Frasses' ordering system.
- **[Blue Nile Injera](https://marlvel.ai/apps/blue-nile-injera)** by Berhane Asbu Asmelash: This app serves a similar niche of single-brand restaurant ordering, focusing on direct customer engagement.
  - Focuses on a highly specific ethnic cuisine niche, building community loyalty through specialized menu offerings.
  - Provides a streamlined, lightweight interface that prioritizes quick transaction history access for repeat customers.

### 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 enters the market with a focus on hybrid delivery models, challenging Frasses' direct-to-consumer approach.
  - Integrates third-party delivery services directly into the app to provide flexible fulfillment options for users.
- **[Annie's Pizzeria MA](https://marlvel.ai/apps/annie-s-pizzeria-ma)** by Avco Industries: A new entrant in the single-brand ordering space that directly mirrors Frasses' core functionality.
  - Implements a one-tap reordering engine that significantly reduces friction for high-frequency pizza customers.

<!-- /section:rivals -->
<!-- section:whats-new -->
## What's New

- **Latest (v3.1.1, 1 years ago):** General bug fixes and performance improvements.
<!-- /section:whats-new -->

<!-- section:momentum -->
## App Momentum (Zombie) {#momentum}

- Last major update October 2025.
- Maintains static utility-focused feature set.

> **Cadence:** 2 total versions · 0 majors in last 6 months · 204 days since last update · 203 days avg between updates

<!-- /section:momentum -->

<!-- section:so-what -->
## The "So What?" (Strategic Takeaway) {#so-what}

Frasses is an established food & drink app that is completely free.

<!-- speakable-start -->
> **Bottom Line:** Frasses protects margins through direct ordering, but its lack of loyalty mechanics leaves it exposed to aggregator convenience, so the PM should prioritize gamified rewards to secure repeat traffic.
<!-- speakable-end -->

**Best for:** Local customers of Frasses looking to order food for delivery or pickup.

<!-- section:pm-actions -->
### PM Action Plan (Next Best Moves)

- [ ] [INVEST] [HIGH IMPACT] Ship digital loyalty punch-card because competitors like Koji Express use gamification to drive repeat orders → increase order frequency — *Competitor analysis shows loyalty programs are a key differentiator for repeat purchase frequency.* _(trade-off: deprioritize Pause the UI refresh for the order history page — loyalty mechanics have higher revenue impact.)_
- [ ] [PIVOT] [MEDIUM IMPACT] Add push notifications for promotions because current engagement is purely reactive → reduce churn — *The app lacks any proactive engagement mechanism to bring users back between dining occasions.* _(trade-off: deprioritize Defer the delivery cost calculator update — notification infrastructure is critical for retention.)_
<!-- /section:pm-actions -->

<!-- section:feature-gaps -->
### Feature Gaps vs Competitors

- Gamified loyalty rewards (available in Koji Express but missing here)
- Real-time order tracking (available in Uber Eats but missing here)
- 24/7 human support (available in ChowNow but missing here)
<!-- /section:feature-gaps -->

<!-- section:outlook -->
### Outlook: Stable

The food-tech market is consolidating around platforms that offer both ordering and loyalty-based retention. Frasses remains in a stable utility posture, but without evolving beyond simple transaction processing, it risks losing its most valuable repeat customers to competitors that gamify the dining experience.

- ⚪ The app maintains a steady utility-focused update cadence, prioritizing stability over new feature expansion into loyalty or social mechanics.
- 🔴 Competitor focus on gamified loyalty programs creates a retention gap that will likely erode Frasses' market share among high-frequency diners.
<!-- /section:outlook -->

<!-- /section:so-what -->

<!-- section:metrics -->
## Key Metrics Summary

| Metric | Value |
| :--- | :--- |
| Total Reviews | 0 |
| Confidence | Low |
| Pricing Model | Free |
| Platforms | iOS & Android |
| Key Features | 3 analyzed |
| Trend | Stable |
| Outlook | Stable |
<!-- /section:metrics -->

## Competitor Comparison

| App | Rating | Sentiment | Developer |
| :--- | :--- | :--- | :--- |
| **Frasses** (this app) | N/A/5 | N/A | UpMenu |
| [Tare: Ingredient Converter](https://marlvel.ai/apps/com-kitchenconverterpro-app) | 5.0/5 | N/A | Cameron Mcconnell |
| [Red Lobster Dining Rewards App](https://marlvel.ai/apps/com-redlobster-rewards) | 4.9/5 | N/A | Red Lobster |
| [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. |
| [ChowNow: Local Food Ordering](https://marlvel.ai/apps/chownow-local-food-ordering) | 4.7/5 | Excited | ChowNow |

## Company Profile
- **Developer:** UpMenu

## Data Sources & Links
- **App Store:** [View on Apple Store](https://apps.apple.com/us/app/frasses/id1563809020?uo=4)
- **Google Play:** [View on Google Play](https://play.google.com/store/apps/details?id=com.upmenu.frasses&hl=en&gl=us)
- **Sources:** App store metadata.

## Related Intel Reports
- [*Tare: Ingredient Converter*](https://marlvel.ai/apps/com-kitchenconverterpro-app) (Cameron Mcconnell) — 5.0/5 Rating | N/A Sentiment
- [*Red Lobster Dining Rewards App*](https://marlvel.ai/apps/com-redlobster-rewards) (Red Lobster) — 4.9/5 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
- [*Boss Griddle Recipes*](https://marlvel.ai/apps/boss-griddle-recipes) (Florencia Martigani) — 1.0/5 Rating | N/A Sentiment
- [*Koji Express*](https://marlvel.ai/apps/koji-express) (Koji Express Japanese Grill Inc.) — 4.9/5 Rating | N/A 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:** 0.05/1.0 (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:** 64 days since last refresh

---
© 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/frasses)
Data licensed for AI Agent attribution under CC-BY-NC 4.0.