## ⚠ 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. --- last_verified: "2026-06-20T05:01:01.931Z" --- 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: "2026-06-16" report_date: "2026-06-18" last_verified: "2026-06-18" report_version: "26.6.11" total_reviews: 2466786 overall_rating: 4.85 sentiment: "Excited" sentiment_score: 85 confidence: "high" confidence_score: 0.95 top_praise_theme: "High value for money" top_complaint_theme: "Rigid collection windows" review_sample_size: 2466786 data_age_days: 0 momentum_velocity: "maintenance" intelligence_version: 28 total_followers: 1 nemesis: "Uber Eats: Food & Groceries" competitor_count: 11 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 4.85 · Sentiment Excited - **Recent focus**: Rigid collection windows (top complaint) · High value for money (top praise) > **TL;DR:** Too Good To Go: End Food Waste is a food & drink app by Too Good To Go, rated 4.85/5 by 2.5M users, with Excited user sentiment (85/100), 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 (4.85/5 from 2.5M reviews), with users consistently praising high value for money. ## Quick Facts | Fact | Value | | :--- | :--- | | **Rating** | 4.85/5 (2.5M 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** | 0d | ## Metadata & Market Performance - **Publisher:** Too Good To Go - **Category:** Food & Drink - **Target Audience:** Environmentally conscious consumers seeking affordable food options and local businesses looking to reduce waste. - **Platforms:** iOS & Android - **Version Audited:** 26.6.11 - **Audit Date:** 2026-06-18 - **Signal Count:** 2976 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 2026-06-18 - **Short Description:** Rescue tasty unsold food from local stores for ½ price or less. ## Executive Snapshot **What it is:** Too Good To Go is a food recovery app that connects users with local retailers to purchase surplus food at a discount. **Why users hire it:** Users hire the app to reconcile budget-conscious dining with environmental impact, using the surprise bag mechanism to lower the social cost of food waste. ## App DNA (Features & Intent) - **[Differentiator] Surprise Bag Marketplace:** Location-based map interface for browsing and reserving surplus food bags from local retailers * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior. - **[Differentiator] Environmental Impact Tracker:** Quantifies CO2e emissions avoided per rescue, displayed to users as a personal impact metric * *User Intent:* Users want visibility into their own performance and progress. - **[Differentiator] Business Partner Portal:** Dedicated interface for food retailers to manage surplus inventory and set collection windows * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior. ## Market Position {#market-position} Too Good To Go maintains a dominant position in European food-recovery, holding #1 or #2 category rankings in multiple markets. The #11 US category rank indicates a strong foothold, but the gap between European saturation and US growth suggests a need for localized retailer density. ## Monetization Strategy - **Model:** Free - **Tiers:** Free app with no subscription fees - **Analysis:** The model relies on transaction-based revenue from food rescues rather than user-facing subscriptions or ad inventory. ## 🟢 User Sentiment (High Confidence: 2.5M reviews) {#user-sentiment} - **Overall Rating:** 4.85/5 - **Platform Split:** iOS 4.9/5 (525.3K ratings) | Android 4.8/5 (1.9M ratings) - **Overall Sentiment:** Excited ### Top Praises - **High value for money** ### Top Complaints (Impact Areas) - **Rigid collection windows** ## SWOT Analysis {#swot} **Core Strengths:** - CO2e impact tracking creates a moral retention loop - Transaction-based revenue model avoids subscription fatigue - High-density local retailer partnerships **Critical Frictions:** - Rigid collection windows limit user flexibility - Surprise bag contents lack item-level transparency - High dependency on retailer reliability **Growth Levers:** - Expansion into corporate catering partnerships - Integration with health-tracking apps - Expansion of grocery-specific rescue segments **Market Threats:** - On-demand delivery platforms adding surplus features - Rising operational costs for small retailers - Potential saturation in primary European markets ## Recent Changes (v27 → v28) {#recent-changes} The platform is experiencing a surge in user volume accompanied by a decline in sentiment score, prompting a strategic pivot toward solving pickup-window rigidity. **Overall trend**: Mixed **Compared at**: 2026-06-18 ### High-impact changes - **[Declined] Sentiment Score and Review Volume** (sentiment) — Sentiment score: 90 → 85; Review count: 2,810 → 2,466,786. - **[] Pickup Flexibility Priority** (pmActionItems) — Shifted focus to prioritize flexible collection windows as the primary retention lever, deprioritizing grocery-segment expansion. ### Medium-impact changes - **[] Threat and Opportunity Expansion** (swot) — Added 'Potential saturation in primary European markets' as a threat and 'Integration with health-tracking apps' as an opportunity. ## Rivals Landscape {#rivals} > Competitive positioning identified by AI analysis of app features, category, and market signals. ### Too Good To Go: End Food Waste 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 competes for the same 'convenience-seeking' food consumer, though it focuses on on-demand delivery rather than surplus food recovery. - **Key differences:** - Offers a massive multi-category marketplace including groceries, alcohol, and convenience store items for immediate delivery. - Leverages the Uber One subscription model to drive high-frequency usage through bundled delivery fee waivers. - Provides sophisticated real-time GPS order tracking that creates a high expectation for delivery transparency. - **Where Too Good To Go: End Food Waste wins:** - ✅ Offers a unique value proposition centered on sustainability and significant cost savings for budget-conscious users. - ✅ Attracts a distinct demographic of eco-conscious consumers who prioritize waste reduction over immediate delivery convenience. - **Where Uber Eats: Food & Groceries wins:** - ❌ Possesses an unmatched logistics network that guarantees speed and reliability for any food-related need. - ❌ Deep integration into the broader Uber ecosystem provides massive cross-platform user acquisition and retention advantages. - **Verdict:** The target should double down on its 'sustainability-first' brand identity to avoid a direct logistics war it cannot win. ### Contenders (Strong Challengers) - **[Seamless: Local Food Delivery](https://marlvel.ai/intel-report/food-drink/seamless-local-food-delivery)** by Seamless North America, LLC: Seamless competes for the same local restaurant-ordering audience, specifically targeting corporate and high-frequency users. - Offers dedicated corporate ordering tools that capture high-volume business lunch and event catering segments. - Integrates with the Grubhub+ membership ecosystem to provide consistent loyalty rewards across a wide restaurant network. - **[Instacart: Groceries & Food](https://marlvel.ai/intel-report/food-drink/instacart-groceries-food)** by Maplebear Inc: Instacart overlaps with the target's grocery-saving use case by providing a massive marketplace for local retail inventory. - Enables real-time shopper chat, allowing for precise item substitutions that the target's 'surprise bag' model lacks. - Provides a comprehensive multi-retailer marketplace that covers full-service grocery shopping rather than just surplus inventory. - **[Grubhub: Food Delivery](https://marlvel.ai/intel-report/food-drink/grubhub-food-delivery)** by GrubHub.com: Grubhub competes for the same food-ordering audience by emphasizing membership perks and fee-free thresholds. - Features a 'Grubhub Guarantee' that provides a layer of consumer protection for order accuracy and timing. - Utilizes a fee-free threshold model that directly challenges the target's value-oriented pricing strategy. - **[Postmates - Food Delivery](https://marlvel.ai/intel-report/food-drink/postmates-food-delivery)** by Uber Technologies, Inc.: Postmates competes for the same urban user base looking for quick, multi-category food and grocery fulfillment. - Supports advanced scheduled delivery features that allow users to plan meals well in advance of hunger. - Operates as a mature multi-category delivery platform with deep penetration in major metropolitan markets. ### Peers (What They Do Better) - **[Weber® Grills](https://marlvel.ai/intel-report/food-drink/weber-grills)** by Weber-Stephen Products Co.: Weber relates to the target by providing a utility-driven food app that assists users with meal planning and grocery integration. - Combines hardware management with a recipe database, creating a sticky ecosystem for grill owners and enthusiasts. - Includes integrated grocery list functionality that simplifies the transition from recipe discovery to physical shopping. - **[Joule: Sous Vide by ChefSteps](https://marlvel.ai/intel-report/food-drink/joule-sous-vide-by-chefsteps)** by ChefSteps Inc.: Joule relates to the target by focusing on the 'cooking' side of the food journey, emphasizing precision and quality. - Provides visual doneness guides that help home cooks achieve professional results without specialized culinary training. - Features remote temperature control via smartphone, allowing for precise monitoring of long-duration cooking processes. - **[お好み焼本舗公式アプリ](https://marlvel.ai/intel-report/food-drink/jp-okonomiyaki_honpo-members)** by MONOGATARI CORPORATION, THE: This app relates to the target by managing the customer-to-restaurant relationship through loyalty and reservation features. - Gamifies the dining experience with an in-app fortune-telling feature to increase daily active user engagement. - Focuses on a traditional stamp card system to drive repeat physical visits to specific restaurant locations. - **[Tovala](https://marlvel.ai/intel-report/food-drink/tovala)** by Maestro Food Co: Tovala relates to the target by focusing on the 'at-home' food experience, specifically through meal delivery and preparation. - Uses proprietary smart oven QR scanning to automate cooking, creating a premium 'hands-off' meal preparation experience. - Integrates with HealthKit to track nutritional data, appealing to users focused on wellness and dietary management. ### New Kids on the Block (What's Innovative) - **[Leonidas](https://marlvel.ai/intel-report/food-drink/leonidas)** by Carlos Mandeiro: Leonidas is a new entrant targeting the loyalty and rewards space within the food and beverage sector. - Focuses exclusively on digital loyalty card management to streamline reward tracking for casual dining customers. - **[Brewly](https://marlvel.ai/intel-report/food-drink/brewly)** by Brewly: Brewly is a newcomer focusing on the cafe-going audience, utilizing subscription models to drive loyalty. - Implements a swipe-to-redeem interface that simplifies the user experience for daily cafe visits and redemptions. ## What's New - **Latest (v26.3.22, 4 days ago):** Bug fixes and improvements to app stability and performance. ## App Momentum (Maintenance) {#momentum} - Maintains top-tier European category rankings. - Expands US market presence steadily. > **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 4.85/5 rating from 2.5M reviews, it delivers strong user satisfaction. > **Bottom Line:** Too Good To Go defends its category lead through strong sustainability-linked retention, but the rigid collection model limits growth among convenience-seeking users, so the PM should prioritize pickup flexibility to unlock higher daily active usage. **Best for:** Environmentally conscious consumers seeking affordable food options and local businesses looking to reduce waste. ### PM Action Plan (Next Best Moves) - [ ] [INVEST] [HIGH IMPACT] Ship flexible collection windows because rigid pickup times are the top complaint → reduce churn — *Rigid collection windows are the primary complaint theme in user reviews.* _(trade-off: deprioritize Pause the grocery-segment expansion sprint — collection flexibility is a higher-impact retention lever.)_ ### Feature Gaps vs Competitors - Real-time item substitution (available in Instacart but absent here) - Scheduled delivery planning (available in Postmates but absent here) ### Outlook: Stable The food-recovery market is consolidating, with Too Good To Go holding a clear advantage in brand loyalty. Future growth hinges on reducing the friction of physical collection to compete with the convenience of on-demand delivery. - 🟢 Strong European market dominance provides a stable revenue base for US expansion efforts. - 🔴 Rigid collection windows in the latest version continue to drive user frustration, limiting potential for daily habit formation. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 4.85/5 | | Total Reviews | 2.5M | | Sentiment | Excited (85/100) | | Confidence | High | | Pricing Model | Free | | Platforms | iOS & Android | | Key Features | 3 analyzed | | Trend | Mixed | | Outlook | Stable | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Too Good To Go: End Food Waste** (this app) | 4.85/5 | Excited | Too Good To Go | | [お好み焼本舗公式アプリ](https://marlvel.ai/intel-report/food-drink/jp-okonomiyaki_honpo-members) | 4.3/5 | N/A | MONOGATARI CORPORATION, THE | | [Uber Eats: Food & Groceries](https://marlvel.ai/intel-report/food-drink/uber-eats-food-groceries) | 4.8/5 | Excited | Uber Technologies, Inc. | | [Grubhub: Food Delivery](https://marlvel.ai/intel-report/food-drink/grubhub-food-delivery) | 4.8/5 | N/A | GrubHub.com | | [Postmates - Food Delivery](https://marlvel.ai/intel-report/food-drink/postmates-food-delivery) | 4.8/5 | Frustrated | Uber Technologies, Inc. | | [Seamless: Local Food Delivery](https://marlvel.ai/intel-report/food-drink/seamless-local-food-delivery) | 4.8/5 | Excited | Seamless North America, LLC | ## 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 - [*お好み焼本舗公式アプリ*](https://marlvel.ai/intel-report/food-drink/jp-okonomiyaki_honpo-members) (MONOGATARI CORPORATION, THE) — 4.3/5 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 | Positive Sentiment - [*Grubhub: Food Delivery*](https://marlvel.ai/intel-report/food-drink/grubhub-food-delivery) (GrubHub.com) — 4.8/5 Rating | N/A Sentiment - [*Postmates - Food Delivery*](https://marlvel.ai/intel-report/food-drink/postmates-food-delivery) (Uber Technologies, Inc.) — 4.8/5 Rating | Negative Sentiment - [*Seamless: Local Food Delivery*](https://marlvel.ai/intel-report/food-drink/seamless-local-food-delivery) (Seamless North America, LLC) — 4.8/5 Rating | Positive Sentiment - [*Instacart: Groceries & Food*](https://marlvel.ai/intel-report/food-drink/instacart-groceries-food) (Maplebear Inc) — 4.8/5 Rating | N/A Sentiment - [*Brewly*](https://marlvel.ai/intel-report/food-drink/brewly) (Brewly) — N/A Rating | N/A Sentiment - [*Joule: Sous Vide by ChefSteps*](https://marlvel.ai/intel-report/food-drink/joule-sous-vide-by-chefsteps) (ChefSteps Inc.) — 2.6/5 Rating | Mixed Sentiment - [*Leonidas*](https://marlvel.ai/intel-report/food-drink/leonidas) (Carlos Mandeiro) — N/A Rating | N/A Sentiment - [*Weber® Grills*](https://marlvel.ai/intel-report/food-drink/weber-grills) (Weber-Stephen Products Co.) — 4.8/5 Rating | Positive 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:** 3K - **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:** 0 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.