--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Factor_ Prepared Meal Delivery" developer_entity: "Factor_" bundle_id: "com.factor75.factor75" app_store_id: "1015997735" category: "Food & Drink" primary_platform: "ios" primary_monetization: "Subscription" offline_capable: false market_region: "US" platforms: "iOS & Android" app_last_updated: "2026-07-28" report_date: "2026-08-04" last_verified: "2026-08-04T00:00:00.000Z" report_version: "26.31" total_reviews: 291309 overall_rating: 4.7 sentiment: "Upset" sentiment_score: 15 confidence: "medium" confidence_score: 0.55 top_praise_theme: "High quality of prepared meals provides a convenient and tasty alternative to cooking for busy families" top_complaint_theme: "App instability and persistent UI glitches prevent users from reliably selecting or saving their weekly meal choices" review_sample_size: 99 total_review_count: 99 analyzed_review_count: 64 data_age_days: 9 momentum_velocity: "maintenance" intelligence_version: 3 tags: ["food & drink", "subscription", "upset sentiment", "mobile app", "app review", "app analysis", "individuals", "seeking", "healthy,"] canonical_url: "https://marlvel.ai/apps/factor-prepared-meal-delivery" license: "CC-BY-NC 4.0" content_version: "v2" --- ## ⚠ Content Warning This report covers topics classified as sensitive (health). Information is aggregated from public sources for informational purposes only. This is not medical advice. Consult a qualified professional before acting on any information here. --- # Factor_ Prepared Meal Delivery Intelligence Report ## TL;DR {#tldr} - **Category**: Food & Drink · Subscription - **Signal**: Rating 4.69 · Sentiment Upset - **Recent focus**: App instability and persistent UI glitches prevent users from reliably selecting or saving their weekly meal choices (top complaint) · High quality of prepared meals provides a convenient and tasty alternative to cooking for busy families (top praise) > **TL;DR:** Factor_ Prepared Meal Delivery is a food & drink app by Factor_, rated 4.69/5 by 291.3K users, with Upset user sentiment (15/100), available on iOS & Android. > > **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence. > **Key Insight:** Factor_ Prepared Meal Delivery faces Upset user sentiment (4.69/5 from 291.3K reviews), with users reporting app instability and persistent ui glitches prevent users from reliably selecting or saving their weekly meal choices as the primary concern. ## Quick Facts | Fact | Value | | :--- | :--- | | **Rating** | 4.69/5 (291.3K reviews) | | **User Mood** | Upset | | **Category** | Food & Drink | | **Developer** | Factor_ | | **Pricing** | Subscription | | **Platforms** | iOS & Android | | **Confidence** | Medium (0.55/1.0) | | **Data Age** | 9d | ## Metadata & Market Performance - **Publisher:** Factor_ - **Category:** Food & Drink - **Target Audience:** Busy individuals seeking healthy, chef-prepared meals without the time commitment of grocery shopping or meal preparation. - **Platforms:** iOS & Android - **Version Reviewed:** 26.31 - **Report Date:** 2026-08-04 - **Signal Count:** 99 reviews analyzed - **Confidence:** Medium (0.55/1.0) - **App Store ID (iOS):** 1015997735 - **Bundle ID:** com.factor75.factor75 - **Google Play ID:** com.factor75.factor75 - **Performance Trend:** Mixed - **Data Window:** Analysis based on signals collected up to 2026-08-04 - **Short Description:** Meal Plans Without Meal-Prep ## Executive Snapshot **What it is:** Factor_ is a meal delivery service for busy individuals, providing chef-prepared, ready-to-heat meals through a weekly subscription model on iOS and Android. **Why users hire it:** The service removes the time-cost of grocery shopping and cooking, serving users who prioritize health-aligned nutrition but lack the capacity for meal preparation. ## App DNA (Features & Intent) - **[Differentiator] Ready-to-Heat Meals:** Chef-crafted meals designed for consumption within two minutes of heating - **[Standard] Dietary Personalization:** Filter and select meals based on specific dietary categories including keto, vegan, vegetarian, calorie smart, and high-protein * *User Intent:* Users value self-expression and personalized experiences. - **[Standard] Weekly Subscription Management:** In-app interface to skip weeks, modify delivery schedules, and add extra meals or snacks * *User Intent:* Users seek enhanced value through premium features. ## Market Position {#market-position} Factor_ maintains a high-volume presence in the Food & Drink category with over 290,000 total ratings across platforms. The gap between the convenience of the product and the instability of the app interface creates a vulnerability for competitors to exploit. ## Monetization Strategy - **Model:** Subscription - **Tiers:** Weekly subscription model with variable pricing based on meal count - **Analysis:** Subscription model anchored in weekly recurring delivery, focused on high-protein and diet-specific meal plans. ## 🔴 User Sentiment (Medium Confidence: 64 of 99 reviews analyzed) {#user-sentiment} - **Overall Rating:** 4.69/5 - **Platform Split:** iOS 4.8/5 (237.2K ratings) | Android 4.3/5 (54.1K ratings) - **Overall Sentiment:** Upset - **Note:** The 4.69/5 store rating reflects cumulative history, while the Upset sentiment reflects recent user reviews analyzed by our AI pipeline. ### Top Praises - **High quality of prepared meals provides a convenient and tasty alternative to cooking for busy families** ### Top Complaints (Impact Areas) - **App instability and persistent UI glitches prevent users from reliably selecting or saving their weekly meal choices** ## SWOT Analysis {#swot} **Core Strengths:** - Chef-crafted, ready-to-heat model removes the time-cost barrier inherent in traditional meal kits **Growth Levers:** - Granular allergen-filtering settings could reduce friction for users with specific dietary restrictions ## Recent Changes (v2 → v3) {#recent-changes} Factor_ transitioned from a purely declining outlook to a mixed trend, balancing active feature iteration with unresolved technical instability. The focus shifted from reactive billing audits toward core product improvements like basket logic and dietary personalization. **Overall trend**: Mixed **Compared at**: 2026-08-04 ### High-impact changes - **[Shifted] Outlook Trend Adjustment** (positioning) ### Medium-impact changes - **[Shifted] SWOT Analysis Re-prioritization** (swot) - **[Shifted] PM Action Item Realignment** (positioning) ## What's New - **Latest (v26.31, 6 days ago):** Introduced diet and macro-based meal filtering and unified the meal and add-on selection flow. ## App Momentum (Maintenance) {#momentum} - Ships updates every 6 days. - Introduced diet-based meal filtering. > **Cadence:** 1 total versions · 1 majors in last 6 months · 6 days since last update ## The "So What?" (Strategic Takeaway) {#so-what} Factor_ Prepared Meal Delivery is a food & drink app. With a 4.69/5 rating from 291.3K reviews, it draws more critical themes in recent reviews than its store average suggests. > **Bottom Line:** Rebuilding the basket selection logic will directly address the technical instability currently driving negative sentiment and churn. Stabilizing the core user flow is the prerequisite for scaling the subscriber base, as the convenience value proposition is currently undermined by unreliable app performance. **Best for:** Busy individuals seeking healthy, chef-prepared meals without the time commitment of grocery shopping or meal preparation. ### PM Action Plan (Next Best Moves) - [ ] [INVEST] Rebuild the meal selection basket logic because persistent save-failures are the top-reported UI complaint → increase weekly order completion rates ### Outlook: Mixed The meal delivery market is consolidating around convenience and dietary precision, leaving Factor_ exposed if technical friction persists. While recent feature additions show a commitment to personalization, the current instability in the core selection flow will likely suppress conversion rates into the next quarter. - 🔴 Persistent app instability during menu selection erodes the daily active habit, which compounds the rating drag already visible on Android. - 🟢 The latest release introduced diet and macro-based meal filtering, indicating active feature investment rather than maintenance-only mode. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 4.69/5 | | Total Reviews | 291.3K | | Sentiment | Upset (15/100) | | Confidence | Medium | | Pricing Model | Subscription | | Platforms | iOS & Android | | Key Features | 3 analyzed | | Trend | Mixed | | Outlook | Mixed | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Factor_ Prepared Meal Delivery** (this app) | 4.69/5 | Upset | Factor_ | | [Beyond Menu Food Delivery](https://marlvel.ai/apps/beyond-menu-food-delivery) | 4.6/5 | N/A | BeyondMenu | | [Caviar - Order Food Delivery](https://marlvel.ai/apps/caviar-order-food-delivery) | 4.6/5 | n/a | Caviar, Inc. | | [ChowNow: Local Food Ordering](https://marlvel.ai/apps/chownow-local-food-ordering) | 4.7/5 | n/a | ChowNow | | [Dairy Queen® Food & Treats](https://marlvel.ai/apps/dairy-queen-food-treats) | 4.4/5 | n/a | International Dairy Queen, Inc. | | [EatStreet Local Food Delivery](https://marlvel.ai/apps/eatstreet-local-food-delivery) | 4.7/5 | n/a | EatStreet | ## Company Profile - **Developer:** Factor_ - **Website:** [https://www.go.factor75.com](https://www.go.factor75.com) ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/us/app/factor-prepared-meal-delivery/id1015997735?uo=4) - **Google Play:** [View on Google Play](https://play.google.com/store/apps/details?id=com.factor75.factor75&hl=en&gl=us) - **Dev Site:** [Official Website](https://www.go.factor75.com) - **Sources:** App store metadata, User reviews. ## Related Intel Reports - [*Beyond Menu Food Delivery*](https://marlvel.ai/apps/beyond-menu-food-delivery) (BeyondMenu) · 4.6/5 Rating - [*Caviar - Order Food Delivery*](https://marlvel.ai/apps/caviar-order-food-delivery) (Caviar, Inc.) · 4.6/5 Rating - [*ChowNow: Local Food Ordering*](https://marlvel.ai/apps/chownow-local-food-ordering) (ChowNow) · 4.7/5 Rating - [*Dairy Queen® Food & Treats*](https://marlvel.ai/apps/dairy-queen-food-treats) (International Dairy Queen, Inc.) · 4.4/5 Rating - [*EatStreet Local Food Delivery*](https://marlvel.ai/apps/eatstreet-local-food-delivery) (EatStreet) · 4.7/5 Rating - [*Gopuff - Grocery Delivery*](https://marlvel.ai/apps/gopuff-grocery-delivery) (Gopuff) · 4.7/5 Rating - [*Grubhub: Food Delivery*](https://marlvel.ai/apps/grubhub-food-delivery) (GrubHub.com) · 4.7/5 Rating - [*Instacart: Groceries & Food*](https://marlvel.ai/apps/instacart-groceries-food) (Maplebear Inc) · 4.8/5 Rating - [*Postmates - Food Delivery*](https://marlvel.ai/apps/postmates-food-delivery) (Uber Technologies, Inc.) · 4.6/5 Rating - [*Seamless: Local Food Delivery*](https://marlvel.ai/apps/seamless-local-food-delivery) (Seamless North America, LLC) · 4.7/5 Rating ## 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:** 0.55/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 99 - **Data Sources:** user reviews, 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:** 9 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/factor-prepared-meal-delivery) Data licensed for AI Agent attribution under CC-BY-NC 4.0.