---
schema_type: "SoftwareApplication"
entity_type: "Mobile Application"
app_name: "Pass2Wallet Add Card to Wallet"
developer_entity: "AI POWERED APPS"
bundle_id: "com.passbook.wallet"
app_store_id: "6541762088"
category: "Shopping"
primary_platform: "ios"
primary_monetization: "Free"
offline_capable: false
market_region: "US"
platforms: "iOS"
app_last_updated: "2025-11-10"
report_date: "2026-03-29"
report_version: "1.3"
total_reviews: 117
overall_rating: 4.79
sentiment: "Thrilled"
sentiment_score: 85
confidence: "high"
confidence_score: 0.45
data_age_days: 33
intelligence_version: 2
tags: ["shopping", "free", "thrilled sentiment", "mobile app", "app review", "app analysis", "individuals", "looking", "reduce"]
canonical_url: "https://marlvel.ai/intel-report/shopping/com-passbook-wallet"
license: "CC-BY-NC 4.0"
last_verified: "2026-04-18T20:42:23.495Z"
---

# Pass2Wallet Add Card to Wallet App Audit

> **TL;DR:** Pass2Wallet Add Card to Wallet is a shopping app by AI POWERED APPS, rated 4.79/5 by 117 users, with Thrilled user sentiment (85/100), available on iOS.
>
> **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence.

<!-- speakable-start -->
> **Key Insight:** Pass2Wallet Add Card to Wallet maintains Thrilled user sentiment (4.79/5 from 117 reviews), with users consistently praising ease of use.
<!-- speakable-end -->

## Metadata & Market Performance
- **Publisher:** AI POWERED APPS
- **Category:** Shopping
- **Target Audience:** Individuals looking to reduce physical clutter by digitizing their membership cards, loyalty cards, and event tickets into a single, organized digital wallet.
- **Platforms:** iOS
- **Version Audited:** 1.3
- **Audit Date:** 2026-03-29
- **Signal Count:** 21 reviews analyzed
- **Confidence:** High (0.45/1.0)
- **App Store ID (iOS):** 6541762088
- **Bundle ID:** com.passbook.wallet
- **Data Window:** Analysis based on signals collected up to 2026-03-29

## Executive Snapshot
Pass2Wallet is a utility application designed to simplify the digitization of physical cards, membership passes, and event tickets into the Apple Wallet ecosystem. By providing an intuitive interface for template-based pass creation and QR code integration, the app effectively targets users looking to reduce physical clutter and streamline their daily digital interactions.

Currently positioned in the Shopping category, the app maintains a strong market presence with a 4.78-star rating. Its primary value proposition lies in its simplicity and ease of use, which has garnered high user satisfaction. While it currently holds a solid niche, its recent performance—climbing to #75 in the Shopping category (Grossing)—indicates a growing monetization potential or user base expansion.

## App DNA (Features & Intent)
- **[Standard] Pass Creation via Templates:** Generate Apple Wallet passes by applying pre-defined templates to streamline the design process.
  * *User Intent:* Users seek enhanced value through premium features.
- **[Standard] QR Code Integration:** Upload existing QR codes to incorporate them into custom digital passes.
  * *User Intent:* Users value self-expression and personalized experiences.
- **[Standard] Customization Tools:** Edit details and personalize the visual appearance of passes to suit specific needs.
  * *User Intent:* Users value self-expression and personalized experiences.
- **[Basic] Apple Wallet Integration:** Seamlessly add and manage membership cards, tickets, and customer cards directly in Apple Wallet.
  * *User Intent:* Users value self-expression and personalized experiences.

## Monetization Strategy
- **Model:** Free
- **Tiers:** Free to download and use
- **Analysis:** The app is currently listed as free with no explicit mention of subscriptions or in-app purchases in the provided metadata, suggesting a potential ad-supported or lead-generation model for the developer.

## 🟢 User Sentiment (High Confidence: 117 reviews) {#user-sentiment}
- **Overall Rating:** 4.79/5
- **Platform Split:** iOS 4.8/5 (117 ratings)
- **Overall Sentiment:** Thrilled

### Top Praises
- **Ease of Use** | *Evidence:* "Simple and easy!"
- **Core Functionality** | *Evidence:* "Finally my membership cards in the wallet"

### Top Complaints (Impact Areas)
- **Missing Advanced Features** | *Evidence:* "I want to be able to photograph a stack of physical cards and digitize photographs of them"

## SWOT Analysis

**Core Strengths:**
- High user satisfaction and strong average rating (4.78).
- Intuitive, clean UI/UX that minimizes the learning curve.
- Effective core functionality that directly solves the user's primary pain point.

**Critical Frictions:**
- Lack of advanced power-user features like batch processing or multi-barcode support.
- Limited developer transparency (no website or social media presence).
- Potential reliance on an unverified monetization model.

**Growth Levers:**
- Implement 'Power User' features to capture the segment of users requesting more complex functionality.
- Expand into OCR to allow users to scan physical cards directly.
- Leverage current upward momentum in category rankings to introduce a premium tier.

**Market Threats:**
- Established competitors with more robust feature sets.
- Apple potentially updating native Wallet features to include more third-party digitization capabilities.

## The "So What?" (Strategic Takeaway) {#so-what}

Pass2Wallet Add Card to Wallet is a market-leading shopping app that is completely free.
With a 4.79/5 rating from 117 reviews, it delivers strong user satisfaction.

**Strategic Opportunity:** While Pass2Wallet Add Card to Wallet benefits from high user satisfaction and strong average rating (4.78)., its vulnerability lies in lack of advanced power-user features like batch processing or multi-barcode support.. A challenger could exploit this by focusing on implement 'power user' features to capture the segment of users requesting more complex functionality..

**Best for:** Individuals looking to reduce physical clutter by digitizing their membership cards, loyalty cards, and event tickets into a single, organized digital wallet.

## Key Metrics Summary

| Metric | Value |
| :--- | :--- |
| Overall Rating | 4.79/5 |
| Total Reviews | 117 |
| Sentiment | Thrilled (85/100) |
| Confidence | High |
| Pricing Model | Free |
| Platforms | iOS |
| Key Features | 4 analyzed |

## Competitor Comparison

| App | Rating | Sentiment | Developer |
| :--- | :--- | :--- | :--- |
| **Pass2Wallet Add Card to Wallet** (this app) | 4.79/5 | Thrilled | AI POWERED APPS |
| [Groupon - Local Deals Near Me](https://marlvel.ai/intel-report/shopping/groupon-local-deals-near-me) | 4.8/5 | Excited | Groupon, Inc. |
| [Best Buy: Tech Deals & Savings](https://marlvel.ai/intel-report/shopping/best-buy-tech-deals-savings) | 4.9/5 | Mixed | Best Buy Co., Inc. |
| [Koupon: Real Deals & Codes](https://marlvel.ai/intel-report/shopping/koupon-real-deals-codes) | 4.9/5 | Excited | Koupon Inc. |
| [Dealerts: Alerts for eBay](https://marlvel.ai/intel-report/shopping/com-baylert) | N/A/5 | N/A | GetWipfIt LLC |
| [DOPA! - Online Mystery Packs](https://marlvel.ai/intel-report/shopping/dopa-online-mystery-packs) | 4.8/5 | Thrilled | SINSA, K.K. |

## Company Profile
- **Developer:** AI POWERED APPS

## Data Sources & Links
- **App Store:** [View on Apple Store](https://apps.apple.com/us/app/pass2wallet-add-card-to-wallet/id6541762088?uo=2)
- **Sources:** App store metadata, User reviews.

## Related Intel Reports
- [*Groupon - Local Deals Near Me*](https://marlvel.ai/intel-report/shopping/groupon-local-deals-near-me) (Groupon, Inc.) — 4.8/5 Rating | Positive Sentiment
- [*Best Buy: Tech Deals & Savings*](https://marlvel.ai/intel-report/shopping/best-buy-tech-deals-savings) (Best Buy Co., Inc.) — 4.9/5 Rating | Mixed Sentiment
- [*Koupon: Real Deals & Codes*](https://marlvel.ai/intel-report/shopping/koupon-real-deals-codes) (Koupon Inc.) — 4.9/5 Rating | Positive Sentiment
- [*Dealerts: Alerts for eBay*](https://marlvel.ai/intel-report/shopping/com-baylert) (GetWipfIt LLC) — N/A Rating | N/A Sentiment
- [*DOPA! - Online Mystery Packs*](https://marlvel.ai/intel-report/shopping/dopa-online-mystery-packs) (SINSA, K.K.) — 4.8/5 Rating | Excellent Sentiment
- [*Fanatics Live - Break Your Way*](https://marlvel.ai/intel-report/shopping/fanatics-live-break-your-way) (Fanatics Collectibles AD, Inc.) — 4.7/5 Rating | Terrible Sentiment
- [*Slickdeals: Deals & Discounts*](https://marlvel.ai/intel-report/shopping/slickdeals-deals-discounts) (Slickdeals, LLC) — 4.8/5 Rating | Mixed Sentiment
- [*Run Run Deals – Coupons & Deal*](https://marlvel.ai/intel-report/shopping/run-run-deals-coupons-deal) (Run Run Deals E Ticaret Sanayi Limited Sirketi) — 4.8/5 Rating | Positive Sentiment
- [*Sam's Club Shopping & Delivery*](https://marlvel.ai/intel-report/shopping/sam-s-club-shopping-delivery) (Sam’s Club) — 4.9/5 Rating | Positive Sentiment
- [*ASANA360*](https://marlvel.ai/intel-report/shopping/asana360) (ASANA 360 Global Limited) — 3.9/5 Rating | Mixed Sentiment

## Methodology {#methodology}

This report was generated by Marlvel.ai's 3-stage AI intelligence pipeline:

1. **Feature & Positioning Extraction** — Analyzes app metadata, developer website content, and version history to identify key features, target audience, and competitive positioning.
2. **Sentiment Analysis** — Processes user reviews (minimum 5 reviews required) to extract praise themes, complaint themes, and overall sentiment with evidence quotes.
3. **Intelligence Synthesis** — Combines stages 1 & 2 with App Store rankings to produce SWOT analysis, executive summary, and actionable insights.

- **Confidence Score:** 0.45/1.0 (based on review volume, data source diversity, and signal quality)
- **Reviews Analyzed:** 21
- **Data Sources:** user reviews, 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:** 10 days since last refresh

---
© 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/intel-report/shopping/com-passbook-wallet)
Data licensed for AI Agent attribution under CC-BY-NC 4.0.