## ⚠ Content Warning This report covers topics classified as sensitive (finance). Information is aggregated from public sources for informational purposes only. This is not financial or investment advice. Always do your own research. --- --- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Too Good To Go: End Food Waste" developer_entity: "Too Good To Go" bundle_id: "com.moonsted.TGTG" app_store_id: "1060683933" google_play_id: "com.app.tgtg" category: "Food & Drink" primary_platform: "ios" primary_monetization: "Free" offline_capable: false market_region: "US" platforms: "iOS & Android" app_last_updated: "2026-04-27" report_date: "2026-04-13" report_version: "26.4.1" total_reviews: 2415265 overall_rating: 4.86 sentiment: "Excited" sentiment_score: 62 confidence: "high" confidence_score: 0.95 top_praise_theme: "Value and Savings" top_complaint_theme: "Order Cancellations and Reliability" review_sample_size: 2400603 data_age_days: 19 momentum_velocity: "maintenance" intelligence_version: 4 total_followers: 1 nemesis: "Flashfood" competitor_count: 7 tags: ["food & drink", "free", "excited sentiment", "mobile app", "app review", "app analysis", "environmentally", "conscious", "consumers"] canonical_url: "https://marlvel.ai/intel-report/food-drink/too-good-to-go-end-food-waste" license: "CC-BY-NC 4.0" content_version: "v2" --- # Too Good To Go: End Food Waste App Audit ## TL;DR {#tldr} - **Category**: Food & Drink · Free - **Signal**: Rating 4.86 · Sentiment Excited - **Recent focus**: Order Cancellations and Reliability (top complaint) · Value and Savings (top praise) > **TL;DR:** Too Good To Go: End Food Waste is a food & drink app by Too Good To Go, rated 4.86/5 by 2.4M users, with Excited user sentiment (62/100), available on iOS & Android. > > **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence. > **Key Insight:** Too Good To Go: End Food Waste maintains Excited user sentiment (4.86/5 from 2.4M reviews), with users consistently praising value and savings. ## Quick Facts | Fact | Value | | :--- | :--- | | **Rating** | 4.86/5 (2.4M reviews) | | **User Mood** | Excited | | **Category** | Food & Drink | | **Developer** | Too Good To Go | | **Pricing** | Free | | **Platforms** | iOS & Android | | **Confidence** | High (0.95/1.0) | | **Data Age** | 19d | ## Metadata & Market Performance - **Publisher:** Too Good To Go - **Category:** Food & Drink - **Target Audience:** Environmentally conscious consumers and budget-focused shoppers looking for affordable takeaway and grocery options. - **Platforms:** iOS & Android - **Version Audited:** 26.4.1 - **Audit Date:** 2026-04-13 - **Signal Count:** 2400603 reviews analyzed - **Confidence:** High (0.95/1.0) - **App Store ID (iOS):** 1060683933 - **Bundle ID:** com.moonsted.TGTG - **Google Play ID:** com.app.tgtg - **Performance Trend:** Mixed - **Data Window:** Analysis based on signals collected up to 2026-04-13 - **Short Description:** Rescue tasty unsold food from local stores for ½ price or less. ## Executive Snapshot Too Good To Go is the dominant global marketplace for reducing food waste, utilizing a 'Surprise Bag' model to sell surplus food at 1/2 price or less. With over 2.4 million ratings and a top 15 position in the US Food & Drink category, it leverages massive scale and a unique CO2e impact tracking feature to maintain market leadership. However, the platform faces significant reliability challenges, with order cancellations and automated support being the primary drivers of a declining sentiment trend. ## App DNA (Features & Intent) - **[Differentiator] Surplus Food Marketplace:** Connects users with local businesses to purchase unsold food via 'Surprise Bags'. - **[Differentiator] Environmental Impact Tracking:** Calculates and displays the CO2e emissions avoided by each food rescue transaction. * *User Intent:* Users want visibility into their own performance and progress. - **[Standard] Location-Based Discovery:** Map-based interface to find nearby restaurants and grocery stores with surplus food. * *User Intent:* Users want to quickly find relevant content or features. - **[Differentiator] Business Solutions Platform:** Modular software for retailers to track and manage surplus food inventory. * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior. ## Monetization Strategy - **Model:** Free - **Tiers:** Free to download and use, Transaction-based: Users pay for individual Surprise Bags ($3+) - **Analysis:** The marketplace model monetizes through transaction commissions rather than subscriptions, keeping the barrier to entry low for mass adoption while scaling revenue with volume. ## 🟢 User Sentiment (High Confidence: 2.4M reviews) {#user-sentiment} - **Overall Rating:** 4.86/5 - **Platform Split:** iOS 4.9/5 (498.7K ratings) | Android 4.8/5 (1.9M ratings) - **Overall Sentiment:** Excited ### Top Praises - **Value and Savings** - **Food Waste Reduction** ### Top Complaints (Impact Areas) - **Order Cancellations and Reliability** - **Poor Customer Support** ## SWOT Analysis {#swot} **Core Strengths:** - Massive global scale and brand recognition - Integrated B2B software suite for merchant retention - Gamified environmental impact metrics (CO2e tracking) - Dominant App Store rankings (#15 Category) **Critical Frictions:** - High order cancellation rates at the store level - Friction-heavy automated customer support - Inconsistent food quality control (reports of inedible items) **Growth Levers:** - Implement dietary filters (Vegetarian/Vegan) to match Phenix - Add a 'Follow' feature for favorite stores to match Karma - Introduce hybrid itemized listings for grocery partners to match Flashfood **Market Threats:** - Flashfood's deep integration with North American grocery chains - User churn toward more predictable 'itemized' surplus models - Merchant fatigue leading to high cancellation rates ## Recent Changes (v3 → v4) {#recent-changes} The platform has transitioned into a maintenance phase, with user sentiment declining due to operational reliability issues and poor customer support, despite maintaining a dominant market position. **Overall trend**: Mixed **Compared at**: 2026-04-13 ### High-impact changes - **[Declined] Sentiment Score Drop** (sentiment) — The sentiment score fell from 78 to 62, reflecting increased user frustration with order reliability and support. - **[Shifted] Maintenance Development Phase** (positioning) — Development velocity has shifted to maintenance, with recent updates focusing exclusively on bug fixes rather than feature innovation. ### Medium-impact changes - **[Added] Business Solutions Platform** (features) — Introduced a modular software suite for retailers to manage surplus inventory as a key differentiator. - **[Shifted] Operational Weakness Identification** (swot) — SWOT analysis now explicitly identifies high order cancellation rates and friction-heavy automated support as primary weaknesses. ## Rivals Landscape {#rivals} > Competitive positioning identified by AI analysis of app features, category, and market signals. ### Too Good To Go: End Food Waste vs Flashfood — Head to Head - **Flashfood** by Flashfood Inc.: Flashfood is the primary direct competitor in North America, focusing on reducing food waste by connecting users with heavily discounted surplus groceries from major retail chains. - **Key differences:** - Itemized Selection: Unlike the 'Surprise Bag' model, Flashfood allows users to see and select specific individual items before purchase - Retail Integration: Deep partnerships with major grocery chains like Meijer, Giant, and Stop & Shop for dedicated in-store pickup zones - Specific Expiry Tracking: Provides exact 'best before' dates for every listed item, offering higher transparency for fresh produce and meats - **Publisher (Flashfood Inc.) strengths:** Strong logistics integration with traditional grocery retail infrastructure; High user trust through inventory transparency and item-level detail - **Where Too Good To Go: End Food Waste wins:** - ✅ Significantly larger global footprint and restaurant partner network - ✅ Stronger overall user sentiment and higher volume of positive ratings - **Where Flashfood wins:** - ❌ Eliminates the 'surprise' element by letting users choose exactly what they are buying - ❌ Better suited for weekly grocery planning rather than one-off snacks or meals - **Verdict:** Too Good To Go holds a dominant lead in market share and brand recognition, particularly in the restaurant and cafe sector. However, Flashfood offers a more predictable user experience for grocery shoppers who are hesitant about the 'Surprise Bag' model. ### Contenders (Strong Challengers) - **Olio** by Olio Exchange Limited: A massive community-based sharing app that facilitates both peer-to-peer food sharing and business-to-consumer surplus distribution. - Peer-to-Peer Focus: Allows neighbors to share surplus food with each other for free - Non-Food Categories: Includes a section for household items, clothes, and furniture to reduce general waste - **Karma - Save Food** by Karma Technologies AB: A direct functional competitor that allows users to buy surplus food from restaurants, cafes, and bakeries at half price. - Follow Feature: Users can follow specific favorite spots to get instant push notifications when new items are listed - Specific Item Listings: Often lists specific dishes rather than randomized bags - **Phenix: Anti-Waste App** by Phenix SAS: A major European player that mirrors the Too Good To Go model with surprise baskets from local merchants. - Dietary Filters: Advanced filtering for vegetarian, vegan, or gluten-free surprise baskets - Loyalty Points: Integrated rewards system where users earn points for every rescue to use on future purchases ### Peers (What They Do Better) - **Misfits Market** by Misfits Market, Inc.: While a delivery service, it shares the core mission of reducing food waste by selling 'ugly' or surplus produce directly to consumers. - Home Delivery: Operates as a full-service online grocer rather than a local pickup marketplace - Supply Chain Focus: Rescues food directly from farmers and producers rather than retail storefronts - **HappyCow - Vegan Food Near Me** by HappyCow: Shares the same map-based discovery pattern for ethically-conscious consumers looking for specific food values nearby. - Niche Community: Dedicated exclusively to vegan and vegetarian dining options - User-Generated Content: Extremely deep database of reviews and photos from a dedicated global community ### New Kids on the Block (What's Innovative) - **Martie** by Martie, Inc.: An emerging online outlet that sells shelf-stable surplus groceries at deep discounts to prevent them from reaching landfills. - Digital Outlet Model: Focuses on packaged goods, pantry staples, and household essentials rather than fresh prepared meals - No Subscription: Unlike other grocery delivery services, it requires no membership fees to access discounts ## What's New - **Latest (v26.3.22, 4 days ago):** Bug fixes and improvements to app stability and performance. ## App Momentum (Maintenance) {#momentum} Too Good To Go is currently focused on stability, with recent updates exclusively addressing bug fixes and performance. No major features have been introduced in the latest version cycle. > **Cadence:** 5 total versions · 0 majors in last 6 months · 4 days since last update · 6 days avg between updates ## The "So What?" (Strategic Takeaway) {#so-what} Too Good To Go: End Food Waste is a market-leading food & drink app that is completely free. With a 4.86/5 rating from 2.4M reviews, it delivers strong user satisfaction. > **Bottom Line:** Too Good To Go is the clear market leader by volume, but its 'Surprise Bag' model is being tested by more predictable, itemized competitors like Flashfood. To maintain its 4.9-star standing, the PM must shift focus from growth to fulfillment reliability, specifically addressing the high cancellation rates and the perceived failure of automated customer support. **Best for:** Environmentally conscious consumers and budget-focused shoppers looking for affordable takeaway and grocery options. ### PM Action Plan (Next Best Moves) - [ ] [HIGH IMPACT] Implement merchant-side cancellation penalties or 'Reliability Scores' — *Order cancellations are the #1 high-frequency complaint, directly impacting user retention and brand trust.* - [ ] [MEDIUM IMPACT] Deploy dietary preference filters (Vegan, Vegetarian, Gluten-Free) — *Competitor Phenix already offers these filters; their absence in TGTG is a significant feature gap for health-conscious users.* - [ ] [MEDIUM IMPACT] Introduce a human-led support escalation path for 'Failed Pickups' — *Users report extreme frustration with the 'terrible AI bot' when trying to resolve money-gone/no-food scenarios.* ### Feature Gaps vs Competitors - Itemized Selection (available in Flashfood) - Dietary Filters for surprise bags (available in Phenix) - Follow/Favorite store notifications (available in Karma) - Loyalty rewards system (available in Phenix) ### Outlook: Mixed - 🔴 Sentiment trend is declining due to high-frequency order cancellations and poor AI support. - 🟢 Strong market momentum with a recent #83 Overall US ranking debut. - ⚪ Recent updates (v26.3.22) focused only on bug fixes, indicating a lack of recent feature innovation. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 4.86/5 | | Total Reviews | 2.4M | | Sentiment | Excited (62/100) | | Confidence | High | | Pricing Model | Free | | Platforms | iOS & Android | | Key Features | 4 analyzed | | Trend | Mixed | | Outlook | Mixed | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Too Good To Go: End Food Waste** (this app) | 4.86/5 | Excited | Too Good To Go | | [Instacart: Groceries & Food](https://marlvel.ai/intel-report/food-drink/instacart-groceries-food) | 4.8/5 | Frustrated | Maplebear Inc | | [ChowNow: Local Food Ordering](https://marlvel.ai/intel-report/food-drink/chownow-local-food-ordering) | 4.7/5 | Frustrated | ChowNow | | [Seamless: Local Food Delivery](https://marlvel.ai/intel-report/food-drink/seamless-local-food-delivery) | 4.7/5 | Frustrated | Seamless North America, LLC | | [Uber Eats: Food & Groceries](https://marlvel.ai/intel-report/food-drink/uber-eats-food-groceries) | 4.8/5 | Frustrated | Uber Technologies, Inc. | | [Gopuff - Grocery Delivery](https://marlvel.ai/intel-report/food-drink/gopuff-grocery-delivery) | 4.7/5 | Excited | Gopuff | ## Company Profile - **Developer:** Too Good To Go - **Website:** [https://toogoodtogo.com](https://toogoodtogo.com) - **Social:** [Instagram](https://www.instagram.com/toogoodtogo.usa) · [Facebook](https://www.facebook.com/toogoodtogoUSA) · [X/Twitter](https://www.twitter.com/toogoodtogo) · [YouTube](https://www.youtube.com/channel/UCBonm_44z7UL0OvhHksBCAw) · [TikTok](https://www.tiktok.com/@toogoodtogo) · [LinkedIn](https://www.linkedin.com/company/too-good-to-go) ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/us/app/too-good-to-go-end-food-waste/id1060683933?uo=4) - **Google Play:** [View on Google Play](https://play.google.com/store/apps/details?id=com.app.tgtg&hl=en&gl=us) - **Dev Site:** [Official Website](https://toogoodtogo.com) - **Sources:** Developer website content, About us / company information, App store metadata, User reviews. ## Related Intel Reports - [*Instacart: Groceries & Food*](https://marlvel.ai/intel-report/food-drink/instacart-groceries-food) (Maplebear Inc) — 4.8/5 Rating | Negative Sentiment - [*ChowNow: Local Food Ordering*](https://marlvel.ai/intel-report/food-drink/chownow-local-food-ordering) (ChowNow) — 4.7/5 Rating | Negative Sentiment - [*Seamless: Local Food Delivery*](https://marlvel.ai/intel-report/food-drink/seamless-local-food-delivery) (Seamless North America, LLC) — 4.7/5 Rating | Negative 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 - [*Gopuff - Grocery Delivery*](https://marlvel.ai/intel-report/food-drink/gopuff-grocery-delivery) (Gopuff) — 4.7/5 Rating | Positive Sentiment - [*Dairy Queen® Food & Treats*](https://marlvel.ai/intel-report/food-drink/dairy-queen-food-treats) (International Dairy Queen, Inc.) — 4.5/5 Rating | Negative Sentiment - [*Beyond Menu Food Delivery*](https://marlvel.ai/intel-report/food-drink/beyond-menu-food-delivery) (BeyondMenu) — 4.6/5 Rating | Mixed Sentiment - [*Caviar - Order Food Delivery*](https://marlvel.ai/intel-report/food-drink/caviar-order-food-delivery) (Caviar, Inc.) — 4.7/5 Rating | Negative Sentiment - [*EatStreet Local Food Delivery*](https://marlvel.ai/intel-report/food-drink/eatstreet-local-food-delivery) (EatStreet) — 4.7/5 Rating | Terrible Sentiment - [*Grubhub: Food Delivery*](https://marlvel.ai/intel-report/food-drink/grubhub-food-delivery) (GrubHub.com) — 4.7/5 Rating | Negative 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:** 0.95/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 2.4M - **Data Sources:** user reviews, 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:** 19 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/intel-report/food-drink/too-good-to-go-end-food-waste) Data licensed for AI Agent attribution under CC-BY-NC 4.0.