--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Fetch: Receipts For Gift Cards" developer_entity: "Fetch Rewards" bundle_id: "com.fetchrewards.fetchrewards.hop" app_store_id: "1182474649" category: "Shopping" primary_platform: "ios" primary_monetization: "Free" offline_capable: false market_region: "US" platforms: "iOS & Android" app_last_updated: "2026-08-12" report_date: "2026-08-13" last_verified: "2026-08-13T00:00:00.000Z" report_version: "4.56.0" total_reviews: 9175450 overall_rating: 4.8 sentiment: "Excited" sentiment_score: 65 confidence: "high" confidence_score: 0.8 top_praise_theme: "Scanning physical receipts for points provides a simple way to earn rewards while shopping" top_complaint_theme: "Automated receipt scanning fails to recognize retailers or specific items, causing significant point loss" review_sample_size: 99 total_review_count: 99 analyzed_review_count: 71 data_age_days: 3 momentum_velocity: "maintenance" intelligence_version: 3 tags: ["shopping", "free", "excited sentiment", "mobile app", "app review", "app analysis", "budget-conscious", "shoppers", "looking"] canonical_url: "https://marlvel.ai/apps/fetch-receipts-for-gift-cards" license: "CC-BY-NC 4.0" content_version: "v2" --- # Fetch: Receipts For Gift Cards Intelligence Report ## TL;DR {#tldr} - **Category**: Shopping · Free - **Signal**: Rating 4.83 · Sentiment Excited - **Recent focus**: Automated receipt scanning fails to recognize retailers or specific items, causing significant point loss (top complaint) · Scanning physical receipts for points provides a simple way to earn rewards while shopping (top praise) > **TL;DR:** Fetch: Receipts For Gift Cards is a shopping app by Fetch Rewards, rated 4.83/5 by 9.2M users, with Excited user sentiment (65/100), available on iOS & Android. > > **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence. > **Key Insight:** Fetch: Receipts For Gift Cards maintains Excited user sentiment (4.83/5 from 9.2M reviews), with users consistently praising scanning physical receipts for points provides a simple way to earn rewards while shopping. ## Quick Facts | Fact | Value | | :--- | :--- | | **Rating** | 4.83/5 (9.2M reviews) | | **User Mood** | Excited | | **Category** | Shopping | | **Developer** | Fetch Rewards | | **Pricing** | Free | | **Platforms** | iOS & Android | | **Confidence** | High (0.8/1.0) | | **Data Age** | 3d | ## Metadata & Market Performance - **Publisher:** Fetch Rewards - **Category:** Shopping - **Target Audience:** Budget-conscious shoppers looking to earn passive rewards on everyday grocery, dining, and retail purchases. - **Platforms:** iOS & Android - **Version Reviewed:** 4.56.0 - **Report Date:** 2026-08-13 - **Signal Count:** 99 reviews analyzed - **Confidence:** High (0.8/1.0) - **App Store ID (iOS):** 1182474649 - **Bundle ID:** com.fetchrewards.fetchrewards.hop - **Google Play ID:** com.fetchrewards.fetchrewards.hop - **Performance Trend:** Declining - **Data Window:** Analysis based on signals collected up to 2026-08-13 - **Short Description:** The easiest way to earn on your daily shopping. Scan receipts and get rewarded. ## Executive Snapshot **What it is:** Fetch is a free rewards app that allows users to earn gift cards by scanning receipts and shopping online on iOS and Android. **Why users hire it:** Users hire Fetch to extract residual value from everyday spending without the administrative burden of traditional coupon clipping. The mechanism provides a low-effort path to financial rewards, so the app wins by minimizing the time-to-point-earning ratio. ## App DNA (Features & Intent) - **[Differentiator] Receipt Scanning:** AI-driven receipt processing extracts purchase data to generate points. Revenue link: drives user engagement and data collection for affiliate advertising. * *User Intent:* Users seek enhanced value through premium features. - **[Differentiator] Fetch Play:** Rewards users for completing tasks in third-party mobile games. Revenue link: generates ad inventory and affiliate revenue from game publishers. * *User Intent:* Users are motivated by consistent progression and daily incentives. - **[Standard] Fetch Shop:** Affiliate-based online shopping portal for major retailers. Revenue link: earns commissions on user transactions. * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior. ## Market Position {#market-position} Fetch holds the #11 spot in the US Shopping category, though it has experienced a 7-spot decline on the overall free chart. The gap between its high store rating and the frequency of scanning-failure complaints signals that the current reward-earning loop is vulnerable to technical friction. ## Monetization Strategy - **Model:** Free - **Tiers:** Free to use with no subscription fees - **Analysis:** Monetization relies on outcomes-based advertising and affiliate commissions rather than direct user subscription fees. ## 🟢 User Sentiment (High Confidence: 71 of 99 reviews analyzed) {#user-sentiment} - **Overall Rating:** 4.83/5 - **Platform Split:** iOS 4.9/5 (7.5M ratings) | Android 4.7/5 (1.7M ratings) - **Overall Sentiment:** Excited ### Top Praises - **Scanning physical receipts for points provides a simple way to earn rewards while shopping** - **Responsive customer support teams manually restore missing points when automated tracking fails to register** - **Integrated game quests offer an additional path to earn points beyond standard receipt scanning** ### Top Complaints (Impact Areas) - **Automated receipt scanning fails to recognize retailers or specific items, causing significant point loss** ## SWOT Analysis {#swot} **Core Strengths:** - High-frequency engagement loop via daily receipt scanning - Broad reward catalog including Visa and Amazon - Responsive manual support intervention for tracking errors **Growth Levers:** - Expand receipt submission window to increase user retention - Improve OCR accuracy to reduce manual support overhead ## Recent Changes (v2 → v3) {#recent-changes} Fetch's competitive outlook has darkened due to a decline in overall chart rankings and a strategic pivot toward fixing core OCR reliability over feature expansion. **Overall trend**: Declining **Compared at**: 2026-08-13 ### High-impact changes - **[Declined] Overall Chart Ranking** (positioning) - **[Shifted] PM Strategy Pivot** (positioning) ### Medium-impact changes - **[Added] Expanded SWOT Analysis** (swot) ## What's New - **Latest (v4.56.0, 2 days ago):** Performance improvements and bug fixes to optimize point earning and reward tracking. ## App Momentum (Maintenance) {#momentum} - Ships performance updates for reward tracking. - Maintains high-frequency maintenance update cadence. > **Cadence:** 2 total versions · 0 majors in last 6 months · 2 days since last update · 0 days avg between updates ## The "So What?" (Strategic Takeaway) {#so-what} Fetch: Receipts For Gift Cards is a market-leading shopping app that is completely free. With a 4.83/5 rating from 9.2M reviews, it delivers strong user satisfaction. > **Bottom Line:** Fetch retains a dominant position through its simple receipt-earning loop, but the high frequency of scanning failures and account-redemption friction threatens long-term loyalty, so the PM must prioritize OCR accuracy to reduce the reliance on manual support intervention. **Best for:** Budget-conscious shoppers looking to earn passive rewards on everyday grocery, dining, and retail purchases. ### PM Action Plan (Next Best Moves) - [ ] [PIVOT] Audit OCR processing logic because scanning failures are the top complaint theme → reduce manual support volume ### Outlook: Mixed The receipt-scanning market is consolidating around platforms that offer the lowest friction for reward redemption. Fetch's reliance on manual support to fix OCR errors is a scalability bottleneck that will erode margins as the user base grows, so the PM must prioritize automated accuracy to maintain the current growth trajectory. - 🔴 Automated scanning failures cause significant point loss, which forces users to rely on manual support intervention to maintain trust in the platform. - 🟢 The addition of game quests provides a secondary, engaging path to earn points, which keeps users active beyond standard receipt scanning. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 4.83/5 | | Total Reviews | 9.2M | | Sentiment | Excited (65/100) | | Confidence | High | | Pricing Model | Free | | Platforms | iOS & Android | | Key Features | 3 analyzed | | Trend | Declining | | Outlook | Mixed | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Fetch: Receipts For Gift Cards** (this app) | 4.83/5 | Excited | Fetch Rewards | | [Best Buy: Tech Deals & Savings](https://marlvel.ai/apps/best-buy-tech-deals-savings) | 4.9/5 | Excited | Best Buy Co., Inc. | | [Groupon - Local Deals Near Me](https://marlvel.ai/apps/groupon-local-deals-near-me) | 4.8/5 | Excited | Groupon, Inc. | | [Koupon: Real Deals & Codes](https://marlvel.ai/apps/koupon-real-deals-codes) | 4.8/5 | Mixed | Koupon Inc. | | [바로딜 - 실시간 쇼핑 검색어 트렌드](https://marlvel.ai/apps/real-time-shopping-trends) | N/A/5 | N/A | hippieperm | | [모구모 - 일본을 스마트하게 즐기다](https://marlvel.ai/apps/app--287) | N/A/5 | N/A | GEONJU CHOI | ## Company Profile - **Developer:** Fetch Rewards - **Website:** [https://www.fetch.com](https://www.fetch.com) - **Social:** [Instagram](https://www.instagram.com/fetchrewards) · [Facebook](https://www.facebook.com/FetchRewards) · [X/Twitter](https://twitter.com/FetchRewards) · [LinkedIn](https://www.linkedin.com/company/fetch-rewards-llc) ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/us/app/fetch-receipts-for-gift-cards/id1182474649?uo=4) - **Google Play:** [View on Google Play](https://play.google.com/store/apps/details?id=com.fetchrewards.fetchrewards.hop&hl=en&gl=us) - **Dev Site:** [Official Website](https://www.fetch.com) - **Sources:** Developer website content, About us / company information, App store metadata, User reviews. ## Related Intel Reports - [*Best Buy: Tech Deals & Savings*](https://marlvel.ai/apps/best-buy-tech-deals-savings) (Best Buy Co., Inc.) · 4.9/5 Rating | Positive Sentiment - [*Groupon - Local Deals Near Me*](https://marlvel.ai/apps/groupon-local-deals-near-me) (Groupon, Inc.) · 4.8/5 Rating | Positive Sentiment - [*Koupon: Real Deals & Codes*](https://marlvel.ai/apps/koupon-real-deals-codes) (Koupon Inc.) · 4.8/5 Rating - [*바로딜 - 실시간 쇼핑 검색어 트렌드*](https://marlvel.ai/apps/real-time-shopping-trends) (hippieperm) · N/A Rating - [*모구모 - 일본을 스마트하게 즐기다*](https://marlvel.ai/apps/app--287) (GEONJU CHOI) · N/A Rating - [*카쇼라 스튜디오*](https://marlvel.ai/apps/app--798) (Kakao Corp.) · N/A Rating - [*두란노몰*](https://marlvel.ai/apps/app--973) (Duranno) · N/A Rating - [*번개장터*](https://marlvel.ai/apps/net-quicket-app) (Pic&Go) · 4.4/5 Rating - [*배민상회 - 외식업 식자재 종합몰*](https://marlvel.ai/apps/com-woowahan-baeminmart) (WoowaBrothers) · 3.5/5 Rating - [*โดนใจ*](https://marlvel.ai/apps/th-co-donjai-donjai_partner_app) (Big C Supercenter) · 4.0/5 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:** 3 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/fetch-receipts-for-gift-cards) Data licensed for AI Agent attribution under CC-BY-NC 4.0.