--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Too Good To Go: Save Good Food" developer_entity: "Too Good To Go Aps" bundle_id: "com.app.tgtg" app_store_id: "1060683933" category: "Food & Drink" primary_platform: "ios" primary_monetization: "Free" offline_capable: false market_region: "US" platforms: "iOS & Android" app_last_updated: "2026-07-28" report_date: "2026-08-03" last_verified: "2026-08-03T00:00:00.000Z" report_version: "26.7.10" total_reviews: 2516890 overall_rating: 4.8 sentiment: "Excited" sentiment_score: 72 confidence: "high" confidence_score: 0.8 top_praise_theme: "The surprise bag model provides high value and helps users save money on quality food items" top_complaint_theme: "High demand for popular surprise bags leads to rapid sell-outs that frustrate users attempting to order" review_sample_size: 99 total_review_count: 99 analyzed_review_count: 75 data_age_days: 13 momentum_velocity: "maintenance" intelligence_version: 3 tags: ["food & drink", "free", "excited sentiment", "mobile app", "app review", "app analysis", "environmentally", "conscious", "consumers"] canonical_url: "https://marlvel.ai/apps/too-good-to-go-save-good-food" license: "CC-BY-NC 4.0" content_version: "v2" --- ## ⚠ 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. --- # Too Good To Go: Save Good Food Intelligence Report ## TL;DR {#tldr} - **Category**: Food & Drink · Free - **Signal**: Rating 4.85 · Sentiment Excited - **Recent focus**: High demand for popular surprise bags leads to rapid sell-outs that frustrate users attempting to order (top complaint) · The surprise bag model provides high value and helps users save money on quality food items (top praise) > **TL;DR:** Too Good To Go: Save Good Food is a food & drink app by Too Good To Go Aps, rated 4.85/5 by 2.5M users, with Excited user sentiment (72/100), available on iOS & Android. > > **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence. > **Key Insight:** Too Good To Go: Save Good Food maintains Excited user sentiment (4.85/5 from 2.5M reviews), with users consistently praising the surprise bag model provides high value and helps users save money on quality food items. ## Quick Facts | Fact | Value | | :--- | :--- | | **Rating** | 4.85/5 (2.5M reviews) | | **User Mood** | Excited | | **Category** | Food & Drink | | **Developer** | Too Good To Go Aps | | **Pricing** | Free | | **Platforms** | iOS & Android | | **Confidence** | High (0.8/1.0) | | **Data Age** | 13d | ## Metadata & Market Performance - **Publisher:** Too Good To Go Aps - **Category:** Food & Drink - **Target Audience:** Environmentally conscious consumers looking to reduce food waste and save money on local takeaway meals and groceries. - **Platforms:** iOS & Android - **Version Reviewed:** 26.7.10 - **Report Date:** 2026-08-03 - **Signal Count:** 99 reviews analyzed - **Confidence:** High (0.8/1.0) - **App Store ID (iOS):** 1060683933 - **Bundle ID:** com.app.tgtg - **Google Play ID:** com.app.tgtg - **Performance Trend:** Mixed - **Data Window:** Analysis based on signals collected up to 2026-08-03 - **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 marketplace that connects consumers with discounted surplus meals from local businesses on iOS and Android. **Why users hire it:** Users open the app to find affordable, high-value food options while actively participating in sustainability efforts, displacing the need for full-price takeaway orders. ## App DNA (Features & Intent) - **[Differentiator] Surprise Bag Marketplace:** Aggregates unsold food inventory into discounted mystery bags, serving as the primary revenue-generating mechanism. - **[Standard] Geographic Map Discovery:** Visualizes nearby surplus food, providing a standard utility for location-based discovery. * *User Intent:* Users want to quickly find relevant content or features. - **[Differentiator] Date Labeling Initiative:** Educates users on food safety labeling to reduce household waste, acting as a brand-building differentiator. ## Market Position {#market-position} Too Good To Go maintains a strong position in the Food & Drink category, supported by a 4.8+ rating across 2.5M+ total reviews. The high volume of reviews relative to the maintenance-mode release cadence signals a mature product that relies on brand loyalty rather than frequent feature iteration. ## Monetization Strategy - **Model:** Free - **Tiers:** Free to download and use - **Analysis:** The app operates on a transaction-based model where revenue is generated through the sale of surplus food items rather than user-facing subscriptions or ads. ## 🟢 User Sentiment (High Confidence: 75 of 99 reviews analyzed) {#user-sentiment} - **Overall Rating:** 4.85/5 - **Platform Split:** iOS 4.9/5 (550.9K ratings) | Android 4.8/5 (2M ratings) - **Overall Sentiment:** Excited ### Top Praises - **The surprise bag model provides high value and helps users save money on quality food items** - **The app interface is intuitive and makes the process of finding and collecting food very simple** - **Environmental impact of reducing food waste serves as a strong motivator for consistent app usage** ### Top Complaints (Impact Areas) - **High demand for popular surprise bags leads to rapid sell-outs that frustrate users attempting to order** ## SWOT Analysis {#swot} **Core Strengths:** - Mission-driven brand identity creates high user loyalty - Transaction-based model aligns incentives between merchants and users **Growth Levers:** - Implementing dietary-specific bag filters would increase conversion for restricted-diet users - Expanding merchant partnerships in high-density urban areas could mitigate inventory scarcity ## Recent Changes (v2 → v3) {#recent-changes} The product roadmap has pivoted from passive maintenance to active intervention, specifically targeting merchant-side reliability and inventory scarcity. The shift is marked by the introduction of merchant scorecards and a heightened focus on preventing user churn to traditional delivery competitors. **Overall trend**: Mixed **Compared at**: 2026-08-03 ### High-impact changes - **[Added] New Competitive Threat** (swot) - **[Shifted] Merchant Reliability Strategy** (swot) ### Medium-impact changes - **[Added] Merchant Partnership Opportunity** (swot) ## What's New - **Latest (v26.7.10, 6 days ago):** Maintenance update focused on stability and performance improvements. ## App Momentum (Maintenance) {#momentum} - Ships minor stability updates weekly. - Maintains high-velocity user review volume. > **Cadence:** 1 total versions · 0 majors in last 6 months · 7 days since last update ## The "So What?" (Strategic Takeaway) {#so-what} Too Good To Go: Save Good Food 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:** Investing in merchant reliability and dietary filtering would address the primary friction points currently limiting the app's conversion funnel. Solving these reliability gaps is essential to maintaining the platform's mission-driven retention as it scales beyond early adopters. **Best for:** Environmentally conscious consumers looking to reduce food waste and save money on local takeaway meals and groceries. ### PM Action Plan (Next Best Moves) - [ ] [INVEST] Ship dietary-specific bag filters because user requests for vegetarian/vegan options are a top-tier feature gap → increase conversion for restricted-diet users ### Outlook: Stable The food recovery market is consolidating around established players, and Too Good To Go's current maintenance-mode cadence leaves it vulnerable to rivals that can better manage merchant reliability. The app must shift focus from broad acquisition to solving the pickup-reliability gap to protect its long-term retention. - 🔴 Frequent merchant-side order cancellations create unreliable pickup experiences, which erodes user trust and drives churn in high-density markets. - 🟢 Mission-driven brand loyalty continues to drive high organic install velocity, sustaining the platform's market position despite a maintenance-mode release cadence. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 4.85/5 | | Total Reviews | 2.5M | | Sentiment | Excited (72/100) | | 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: Save Good Food** (this app) | 4.85/5 | Excited | Too Good To Go Aps | | [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:** Too Good To Go Aps - **Website:** [https://www.toogoodtogo.com](https://www.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-save-good-food/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://www.toogoodtogo.com) - **Sources:** Developer website content, About us / company information, 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:** 0.8/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 99 - **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:** 13 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/too-good-to-go-save-good-food) Data licensed for AI Agent attribution under CC-BY-NC 4.0.