---
schema_type: "SoftwareApplication"
entity_type: "Mobile Application"
app_name: "Fetch: America’s Rewards App"
developer_entity: "Fetch Rewards, LLC"
bundle_id: "com.FetchRewards.HopBeta"
app_store_id: "1182474649"
google_play_id: "com.fetchrewards.fetchrewards.hop"
category: "Shopping"
primary_platform: "ios"
primary_monetization: "Free"
offline_capable: false
market_region: "US"
platforms: "iOS & Android"
app_last_updated: "2026-05-18"
report_date: "2026-07-28"
last_verified: "2026-07-28T00:00:00.000Z"
report_version: "4.44.0"
total_reviews: 8790757
overall_rating: 4.8
sentiment: "Mixed"
sentiment_score: 55
confidence: "high"
confidence_score: 0.95
top_praise_theme: "Scanning receipts for points provides a simple and rewarding way to earn gift cards daily"
top_complaint_theme: "Users report missing points for completed game tasks and receipt scans, causing significant frustration"
review_sample_size: 7834
total_review_count: 7834
analyzed_review_count: 120
data_age_days: 19
momentum_velocity: "active"
intelligence_version: 6
nemesis: "CoinOut: Receipts for Rewards"
competitor_count: 3
tags: ["shopping", "free", "mixed sentiment", "mobile app", "app review", "app analysis", "value-conscious", "consumers", "looking"]
canonical_url: "https://marlvel.ai/apps/fetch-america-s-rewards-app"
license: "CC-BY-NC 4.0"
content_version: "v2"
---

# Fetch: America’s Rewards App Intelligence Report

## TL;DR {#tldr}

- **Category**: Shopping · Free
- **Signal**: Rating 4.83 · Sentiment Mixed
- **Recent focus**: Users report missing points for completed game tasks and receipt scans, causing significant frustration (top complaint) · Scanning receipts for points provides a simple and rewarding way to earn gift cards daily (top praise)

> **TL;DR:** Fetch: America’s Rewards App is a shopping app by Fetch Rewards, LLC, rated 4.83/5 by 8.8M users, with Mixed user sentiment (55/100), available on iOS & Android.
>
> **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence.

<!-- speakable-start -->
> **Key Insight:** Fetch: America’s Rewards App shows Mixed sentiment (4.83/5 from 8.8M reviews) - users praise scanning receipts for points provides a simple and rewarding way to earn gift cards daily but report issues with users report missing points for completed game tasks and receipt scans, causing significant frustration.
<!-- speakable-end -->

## Quick Facts

| Fact | Value |
| :--- | :--- |
| **Rating** | 4.83/5 (8.8M reviews) |
| **User Mood** | Mixed |
| **Category** | Shopping |
| **Developer** | Fetch Rewards, LLC |
| **Pricing** | Free |
| **Platforms** | iOS & Android |
| **Confidence** | High (0.95/1.0) |
| **Data Age** | 19d |

## Metadata & Market Performance
- **Publisher:** Fetch Rewards, LLC
- **Category:** Shopping
- **Target Audience:** Value-conscious consumers looking to earn rewards on everyday grocery, retail, and online purchases.
- **Platforms:** iOS & Android
- **Version Reviewed:** 4.44.0
- **Report Date:** 2026-07-28
- **Signal Count:** 7834 reviews analyzed
- **Confidence:** High (0.95/1.0)
- **App Store ID (iOS):** 1182474649
- **Bundle ID:** com.FetchRewards.HopBeta
- **Google Play ID:** com.fetchrewards.fetchrewards.hop
- **Performance Trend:** Declining
- **Data Window:** Analysis based on signals collected up to 2026-07-28
- **Short Description:** Earn rewards when you shop, play games, and order online. Live rewarded.

<!-- section:executive-snapshot -->
## Executive Snapshot
**What it is:** Fetch is a rewards app for iOS and Android that provides points for receipt scanning, online shopping, and mobile gaming.
**Why users hire it:** Users hire Fetch to turn everyday transaction data into supplemental income, effectively subsidizing grocery and retail budgets through a low-effort scanning loop.
<!-- /section:executive-snapshot -->

<!-- section:features -->
## App DNA (Features & Intent)
- **[Standard] Receipt Scanning:** OCR-based receipt processing to extract purchase data for point allocation
  * *User Intent:* Users seek enhanced value through premium features.
- **[Differentiator] Fetch Shop:** In-app portal for online shopping at partner retailers to earn points on transaction value
  * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior.
- **[Differentiator] Fetch Play:** In-app gaming hub where users earn points for completing tasks in mobile games
<!-- /section:features -->

<!-- section:market-position -->
## Market Position {#market-position}

Fetch holds the #11 spot in the US Shopping category, maintaining a consistent presence despite recent volatility. The grossing rank indicates the app successfully leverages its brand partnership network to drive affiliate revenue.
<!-- /section:market-position -->

## Monetization Strategy
- **Model:** Free
- **Tiers:** Free to use with no subscription fees
- **Analysis:** Monetization relies on outcomes-based advertising and affiliate revenue rather than direct user subscription fees.

<!-- section:sentiment -->
## 🟡 User Sentiment (High Confidence: 120 of 7.8K reviews analyzed) {#user-sentiment}
- **Overall Rating:** 4.83/5
- **Platform Split:** iOS 4.9/5 (7.2M ratings) | Android 4.7/5 (1.6M ratings)
- **Overall Sentiment:** Mixed

### Top Praises
- **Scanning receipts for points provides a simple and rewarding way to earn gift cards daily**
- **Fetch Play feature offers an engaging way to earn extra points while playing mobile games**
- **Redemption process for gift cards is reliable and provides tangible value for frequent shoppers**

### Top Complaints (Impact Areas)

- **Users report missing points for completed game tasks and receipt scans, causing significant frustration**

<!-- /section:sentiment -->
<!-- section:swot -->
## SWOT Analysis {#swot}

**Core Strengths:**
- Editors' Choice badge across five markets sustains organic install velocity
- SKU-level data capture enables high-value brand partnerships

**Growth Levers:**
- Localized cash-out options like PayPal would increase user satisfaction
- Manual receipt-adjustment features could resolve common scanning errors


<!-- /section:swot -->
## Recent Changes (v5 → v6) {#recent-changes}

Fetch is facing increased churn pressure as technical reliability issues and poor support resolution overshadow its core receipt-scanning value proposition.

**Overall trend**: Declining
**Compared at**: 2026-07-28

### High-impact changes
- **[Declined] Support and Tracking Friction** (sentiment)
- **[Declined] Market Rank Drop** (positioning)

### Medium-impact changes
- **[Shifted] Receipt Scanning Repositioning** (features)
- **[Added] Manual Adjustment Opportunity** (swot)

<!-- section:rivals -->
## Rivals Landscape {#rivals}

> Competitive positioning identified by AI analysis of app features, category, and market signals.

### Fetch: America’s Rewards App vs CoinOut: Receipts for Rewards
- **[CoinOut: Receipts for Rewards](https://marlvel.ai/apps/coinout-receipts-for-rewards)** by CoinOut: This app maintains the highest release velocity in the niche, directly challenging this app's market share with frequent feature iterations.
  - **Key differences:**
    - Maintains a high-frequency release cadence with six updates in the last six months
    - Focuses on rapid receipt processing to minimize the time-to-reward for casual users
    - Operates with a leaner feature set that prioritizes core receipt scanning over secondary gaming

### Contenders (Strong Challengers)
- **[Swagbucks: Surveys for Money](https://marlvel.ai/apps/com-swagbucksapp)** by Prodege LLC: A major competitor that captures the broader 'rewards for tasks' audience through high-volume survey integration.
  - Aggregates diverse earning streams including paid surveys, video watching, and web search activities
  - Leverages a long-standing brand presence to maintain a massive, highly active user base
- **[Checkout 51: Cash Back Savings](https://marlvel.ai/apps/checkout-51-cash-back-savings)** by Checkout 51 Mobile Apps ULC: A legacy player in the grocery-specific rewards space that remains a relevant alternative for coupon-focused shoppers.
  - Specializes in specific grocery item rebates rather than the broad receipt-scanning model
  - Requires users to select offers before shopping, creating a more intentional, coupon-like user experience

<!-- /section:rivals -->
<!-- section:whats-new -->
## What's New

- **Latest (v4.44.0, today):** Performance improvements and bug fixes to optimize point earning and reward tracking.
<!-- /section:whats-new -->

<!-- section:momentum -->
## App Momentum (Active) {#momentum}

- Ships ~2 releases per month.
- Refined Discover and Shop experiences.

> **Cadence:** 5 total versions · 1 majors in last 6 months · 0 days since last update · 11 days avg between updates

<!-- /section:momentum -->

<!-- section:so-what -->
## The "So What?" (Strategic Takeaway) {#so-what}

Fetch: America’s Rewards App is a shopping app that is completely free.
With a 4.83/5 rating from 8.8M reviews, it shows mixed user reception.

<!-- speakable-start -->
> **Bottom Line:** Fetch maintains a strong market position through its receipt-scanning loop, but persistent point-tracking errors and poor support resolution threaten long-term retention. The PM must prioritize support transparency and scan reliability over new feature expansion to defend against agile rivals like CoinOut.
<!-- speakable-end -->

**Best for:** Value-conscious consumers looking to earn rewards on everyday grocery, retail, and online purchases.

<!-- section:pm-actions -->
### PM Action Plan (Next Best Moves)

- [ ] [PIVOT] Implement human-led support escalation for high-value point disputes because support friction is the top complaint → reduce churn
<!-- /section:pm-actions -->

<!-- section:feature-gaps -->
### Feature Gaps vs Competitors


- Direct PayPal cash-out (available in competitor rewards apps but absent here)
<!-- /section:feature-gaps -->

<!-- section:outlook -->
### Outlook: Declining

The rewards market is consolidating around reliability, and Fetch's current maintenance-only cadence fails to address the critical friction in point attribution. Unless the team shifts capacity to human-led support and scan accuracy, the app will lose its competitive edge to more agile, single-purpose rivals.

- 🔴 Persistent point-tracking errors in the latest release erode user trust, leading to a decline in sentiment despite frequent bug-fix updates.
- 🔴 Ineffective automated support interactions create a negative feedback loop where users feel their earned rewards are withheld, accelerating churn.
<!-- /section:outlook -->

<!-- /section:so-what -->

<!-- section:metrics -->
## Key Metrics Summary

| Metric | Value |
| :--- | :--- |
| Overall Rating | 4.83/5 |
| Total Reviews | 8.8M |
| Sentiment | Mixed (55/100) |
| Confidence | High |
| Pricing Model | Free |
| Platforms | iOS & Android |
| Key Features | 3 analyzed |
| Trend | Declining |
| Outlook | Declining |
<!-- /section:metrics -->

## Competitor Comparison

| App | Rating | Sentiment | Developer |
| :--- | :--- | :--- | :--- |
| **Fetch: America’s Rewards App** (this app) | 4.83/5 | Mixed | Fetch Rewards, LLC |
| [Swagbucks: Surveys for Money](https://marlvel.ai/apps/com-swagbucksapp) | 4.4/5 | n/a | Prodege LLC |
| [CoinOut: Receipts for Rewards](https://marlvel.ai/apps/coinout-receipts-for-rewards) | 4.7/5 | N/A | CoinOut |
| [Checkout 51: Cash Back Savings](https://marlvel.ai/apps/checkout-51-cash-back-savings) | 4.2/5 | N/A | Checkout 51 Mobile Apps ULC |
| [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. |

## Company Profile
- **Developer:** Fetch Rewards, LLC
- **Website:** [https://fetch.com/](https://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-americas-rewards-app/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://fetch.com/)
- **Sources:** Developer website content, About us / company information, App store metadata, User reviews.

## Related Intel Reports
- [*Swagbucks: Surveys for Money*](https://marlvel.ai/apps/com-swagbucksapp) (Prodege LLC) · 4.4/5 Rating
- [*CoinOut: Receipts for Rewards*](https://marlvel.ai/apps/coinout-receipts-for-rewards) (CoinOut) · 4.7/5 Rating
- [*Checkout 51: Cash Back Savings*](https://marlvel.ai/apps/checkout-51-cash-back-savings) (Checkout 51 Mobile Apps ULC) · 4.2/5 Rating
- [*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

## Frequently Asked Questions {#faq}

### Is Fetch rewards legit for earning gift cards?

Yes, Fetch is a legitimate rewards app that allows users to earn points by scanning receipts and shopping online, which can be redeemed for gift cards from major retailers.

### How does Fetch compare to CoinOut?

Fetch offers a broader rewards ecosystem including gaming and online shopping, while CoinOut focuses on a more streamlined, single-purpose receipt scanning experience with faster processing.

### Does Fetch have intrusive ads?

Fetch monetizes through affiliate revenue and brand partnerships rather than traditional intrusive ads, though it does promote partner offers within the app.

### What is a good alternative to Fetch?

Users looking for alternatives should consider Swagbucks for survey-based rewards or Checkout 51 for specific grocery item rebates.

## 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:** 0.95/1.0 (based on review volume, data source diversity, and signal quality)
- **Reviews Analyzed:** 7.8K
- **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/apps/fetch-america-s-rewards-app)
Data licensed for AI Agent attribution under CC-BY-NC 4.0.