---
schema_type: "SoftwareApplication"
entity_type: "Mobile Application"
app_name: "961 Flavours"
developer_entity: "koein apps"
bundle_id: "com.weevi.flavours961"
app_store_id: "6748125738"
category: "Food & Drink"
primary_platform: "ios"
primary_monetization: "Free"
offline_capable: false
market_region: "US"
platforms: "iOS & Android"
app_last_updated: "2026-02-07"
report_date: "2026-05-23"
last_verified: "2026-05-23T07:43:50.567Z"
report_version: "1.3"
total_reviews: 0
confidence: "low"
confidence_score: 0.35
data_age_days: 40
momentum_velocity: "maintenance"
intelligence_version: 4
nemesis: "Uber Eats: Food & Groceries"
competitor_count: 11
tags: ["food & drink", "free", "mobile app", "app review", "app analysis", "local", "customers", "flavours"]
canonical_url: "https://marlvel.ai/intel-report/food-drink/961-flavours"
license: "CC-BY-NC 4.0"
content_version: "v2"
---

# 961 Flavours App Audit

## TL;DR {#tldr}

- **Category**: Food & Drink · Free

> **TL;DR:** 961 Flavours is a food & drink app by koein apps, available on iOS & Android.
>
> **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence.

<!-- speakable-start -->
> **Key Insight:** 961 Flavours is a food & drink app by koein apps.
<!-- speakable-end -->

## Quick Facts

| Fact | Value |
| :--- | :--- |
| **Category** | Food & Drink |
| **Developer** | koein apps |
| **Pricing** | Free |
| **Platforms** | iOS & Android |
| **Confidence** | Low (0.35/1.0) |
| **Data Age** | 0d |

## Metadata & Market Performance
- **Publisher:** koein apps
- **Category:** Food & Drink
- **Target Audience:** Local customers of 961 Flavours seeking convenient mobile ordering, loyalty rewards, and access to exclusive store promotions.
- **Platforms:** iOS & Android
- **Version Audited:** 1.3
- **Audit Date:** 2026-05-23
- **Signal Count:** 2 reviews analyzed
- **Confidence:** Low (0.35/1.0)
- **App Store ID (iOS):** 6748125738
- **Bundle ID:** com.weevi.flavours961
- **Google Play ID:** com.weevi.flavours961
- **Performance Trend:** Mixed
- **Data Window:** Analysis based on signals collected up to 2026-05-23

<!-- section:executive-snapshot -->
## Executive Snapshot
**What it is:** 961 Flavours is a mobile ordering app for a specific restaurant, offering menu customization, order scheduling, and loyalty rewards.
**Why users hire it:** The app serves the need for direct-to-consumer ordering, allowing the restaurant to bypass aggregator commissions and retain customer data for repeat visits.
<!-- /section:executive-snapshot -->

<!-- section:features -->
## App DNA (Features & Intent)
- **[Standard] Online Ordering:** Direct order placement for pickup or delivery via the mobile interface
- **[Standard] Order Scheduling:** Ability to set future pickup or delivery times within the checkout flow
- **[Differentiator] Loyalty Program:** Points-based system for earning and redeeming rewards on purchases
  * *User Intent:* Users are motivated by consistent progression and daily incentives.
- **[Standard] Customization Engine:** Item-level configuration options saved to user profiles for future reordering
  * *User Intent:* Users value self-expression and personalized experiences.
- **[Differentiator] Gamified Promotions:** In-app spin-the-wheel and competition modules for discounts
  * *User Intent:* Users are driven by competitive achievement and recognition.
<!-- /section:features -->

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

The app maintains a niche presence in the Food & Drink category with no recorded rating count, signaling minimal market penetration compared to established aggregators.
<!-- /section:market-position -->

## Monetization Strategy
- **Model:** Free
- **Tiers:** Free app download with no subscription fees
- **Analysis:** Monetization relies on direct food sales and customer retention via loyalty points rather than subscription or ad-revenue.

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

**Core Strengths:**
- Loyalty program incentivizes repeat visits
- Customization engine reduces reorder friction

**Critical Frictions:**
- Zero rating count across platforms
- Lack of social proof for new users

**Growth Levers:**
- Integrate table reservations for dine-in
- Expand gamified promotions to boost usage

**Market Threats:**
- Aggregator logistics networks offer superior reliability
- New entrants implement faster one-tap reordering

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

The app shifted its tactical focus from loyalty gamification to reducing reorder friction, while the competitive landscape was expanded to include a wider range of delivery platforms.

**Overall trend**: Mixed
**Compared at**: 2026-05-23

### High-impact changes
- **[Shifted] Tactical Priority Shift** (positioning) — PM action items moved from auditing loyalty mechanics to implementing one-tap reordering to address user friction.
- **[Shifted] Competitive Landscape Expansion** (swot) — The competitive set was expanded from a single-nemesis focus on Talabat to a broader list including Uber Eats, ChowNow, Caviar, and Radoo.

### Medium-impact changes
- **[Added] Social Proof Weakness** (swot) — Added 'Zero rating count across platforms' and 'Lack of social proof' as specific weaknesses in the SWOT analysis.
- **[Added] Dine-in Opportunity** (swot) — Added 'Integrate table reservations for dine-in' as a new opportunity in the SWOT analysis.

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

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

### 961 Flavours 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 is the primary market nemesis, competing directly for the same food delivery audience through a massive, multi-category marketplace that dwarfs the target's niche ordering experience.
  - **Key differences:**
    - Offers a massive multi-category marketplace including groceries, alcohol, and convenience items beyond just restaurant food
    - Leverages the Uber One subscription model to drive high-frequency user retention and platform loyalty
    - Provides sophisticated real-time GPS tracking and predictive delivery windows that exceed basic status notifications
  - **Where 961 Flavours wins:**
    - ✅ Provides a streamlined, focused experience without the clutter of non-food marketplace categories
    - ✅ Allows for deeper, more personalized item customization that is often lost in generic aggregator interfaces
  - **Where Uber Eats: Food & Groceries wins:**
    - ❌ Unmatched logistics network and driver availability ensure faster and more reliable delivery fulfillment
    - ❌ Superior brand recognition and massive marketing budget drive significantly higher user acquisition and trust
  - **Verdict:** The target should avoid direct logistics competition and instead focus on building a 'VIP' experience for loyal customers that Uber's mass-market approach cannot replicate.

### Contenders (Strong Challengers)
- **[ChowNow: Local Food Ordering](https://marlvel.ai/intel-report/food-drink/chownow-local-food-ordering)** by ChowNow: ChowNow challenges the target by providing a commission-free ordering platform that appeals to restaurants wanting to own their customer data.
  - Operates a commission-free model that allows restaurants to retain higher margins compared to standard aggregators
  - Provides 24/7 human support which serves as a significant trust signal for restaurant partners and users
- **[Caviar - Order Food Delivery](https://marlvel.ai/intel-report/food-drink/caviar-order-food-delivery)** by Caviar, Inc.: Caviar competes for the premium segment of the food delivery market by focusing on exclusive restaurant partnerships.
  - Curates exclusive restaurant partnerships that are unavailable on broader, mass-market food delivery platforms
  - Deep integration with DashPass provides a seamless subscription benefit for high-frequency, premium-tier diners
- **[Radoo: Delivery Local](https://marlvel.ai/intel-report/food-drink/app-radoo-radooapp)** by Radware Labs: Radoo targets the same local food delivery space but differentiates through an ethical labor and eco-friendly logistics positioning.
  - Positions itself as an ethical alternative by highlighting fair labor models for delivery personnel
  - Utilizes eco-friendly logistics branding to attract environmentally conscious consumers in the local food market
- **[Get Eazy](https://marlvel.ai/intel-report/shopping/get-eazy)** by Localites Private Limited: Get Eazy competes by offering a localized marketplace model that includes in-app wallet features and multi-category delivery options.
  - Integrates an in-app wallet system to simplify repeat transactions and reduce friction at checkout
  - Supports cash-on-delivery options which are critical for capturing unbanked or cash-preferring local demographics

### Peers (What They Do Better)
- **[Konnichiwa Sushi](https://marlvel.ai/intel-report/food-drink/com-krokodiili-konnichiwa)** by koodikroko: This app competes for the same restaurant-specific ordering traffic by offering digital table reservations and takeaway options.
  - Integrates table reservation capabilities directly into the ordering app to manage both dine-in and takeaway
  - Uses a token collection system to gamify the ordering experience and encourage repeat visits
- **[El Taller](https://marlvel.ai/intel-report/food-drink/el-taller)** by Orionsoft SpA: El Taller provides a direct ordering system for specialized food, mirroring the target's goal of streamlining the ordering process.
  - Focuses on specialized dietary menus to cater to specific health-conscious or allergy-aware customer segments
  - Provides a direct ordering system that bypasses third-party aggregators to improve order accuracy
- **[Tare: Ingredient Converter](https://marlvel.ai/intel-report/food-drink/com-kitchenconverterpro-app)** by Cameron Mcconnell: While functional, it overlaps in the food-tech space by providing utility tools for the same home-cooking audience.
  - Offers density-aware ingredient conversion that provides higher accuracy than standard volume-based kitchen apps
  - Enables full offline functionality, allowing users to access tools without a stable internet connection
- **[Blue Nile Injera](https://marlvel.ai/intel-report/food-drink/blue-nile-injera)** by Berhane Asbu Asmelash: This app serves a similar niche by providing a direct-to-consumer ordering interface for a specific culinary category.
  - Includes a built-in loyalty rewards program to incentivize repeat orders from the same establishment
  - Features a detailed transaction history log that helps users track their past culinary preferences

### 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.: This newcomer focuses on the same pizza-delivery niche, utilizing third-party integrations to scale its delivery reach.
  - Combines direct online ordering with third-party delivery integration to maximize geographic delivery coverage
- **[Annie's Pizzeria MA](https://marlvel.ai/intel-report/food-drink/annie-s-pizzeria-ma)** by Avco Industries: A new entrant that directly threatens the target's local market share with a highly optimized, single-brand ordering experience.
  - Implements a one-tap reordering feature that significantly reduces the time required for repeat purchases

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

- **Latest (v1.3, 3 months ago):** General performance enhancements and bug fixes.
<!-- /section:whats-new -->

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

- No major feature updates since 2025.
- Static release cadence indicates maintenance mode.

> **Cadence:** 2 total versions · 0 majors in last 6 months · 104 days since last update · 94 days avg between updates

<!-- /section:momentum -->

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

961 Flavours is an established food & drink app that is completely free.

<!-- speakable-start -->
> **Bottom Line:** 961 Flavours provides a functional ordering tool for loyalists, but its lack of user adoption and static update cadence leaves it vulnerable to aggregator dominance, so the PM should prioritize reducing reorder friction to defend the existing customer base.
<!-- speakable-end -->

**Best for:** Local customers of 961 Flavours seeking convenient mobile ordering, loyalty rewards, and access to exclusive store promotions.

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

- [ ] [INVEST] [HIGH IMPACT] Implement one-tap reordering because competitors like Annie's Pizzeria use it to reduce friction → increase repeat order conversion — *Competitor Annie's Pizzeria MA uses one-tap reordering to capture local market share.* _(trade-off: deprioritize Push the gamified spin-the-wheel update to Q3 — reordering friction is a higher churn risk.)_
<!-- /section:pm-actions -->

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

- One-tap reordering (available in Annie's Pizzeria MA but absent here)
- Real-time GPS delivery tracking (available in Uber Eats but absent here)
<!-- /section:feature-gaps -->

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

The local food ordering market is consolidating around platforms that offer both direct ordering and logistics support. Without a clear growth strategy or active user engagement, 961 Flavours will likely remain a static utility for a small, loyal customer base.

- ⚪ The app remains in maintenance mode with no recent feature additions, signaling a focus on existing customer retention over growth.
<!-- /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 | 5 analyzed |
| Trend | Mixed |
| Outlook | Stable |
<!-- /section:metrics -->

## Competitor Comparison

| App | Rating | Sentiment | Developer |
| :--- | :--- | :--- | :--- |
| **961 Flavours** (this app) | N/A/5 | N/A | koein apps |
| [Konnichiwa Sushi](https://marlvel.ai/intel-report/food-drink/com-krokodiili-konnichiwa) | 4.0/5 | N/A | koodikroko |
| [Radoo: Delivery Local](https://marlvel.ai/intel-report/food-drink/app-radoo-radooapp) | 4.8/5 | N/A | Radware Labs |
| [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. |

## Company Profile
- **Developer:** koein apps
- **Website:** [https://961flavours.com](https://961flavours.com)

## Data Sources & Links
- **App Store:** [View on Apple Store](https://apps.apple.com/us/app/961-flavours/id6748125738?uo=4)
- **Google Play:** [View on Google Play](https://play.google.com/store/apps/details?id=com.weevi.flavours961&hl=en&gl=us)
- **Dev Site:** [Official Website](https://961flavours.com)
- **Sources:** Developer website content, About us / company information, 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
- [*Radoo: Delivery Local*](https://marlvel.ai/intel-report/food-drink/app-radoo-radooapp) (Radware Labs) — 4.8/5 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
- [*Get Eazy*](https://marlvel.ai/intel-report/shopping/get-eazy) (Localites Private Limited) — 5.0/5 Rating | Excellent 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
- [*Annie's Pizzeria MA*](https://marlvel.ai/intel-report/food-drink/annie-s-pizzeria-ma) (Avco Industries) — 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

## 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:** 0.35/1.0 (based on review volume, data source diversity, and signal quality)
- **Reviews Analyzed:** 2
- **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:** 0 days since last refresh

---
© 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/intel-report/food-drink/961-flavours)
Data licensed for AI Agent attribution under CC-BY-NC 4.0.