--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Wish List - Shopping Guide" developer_entity: "Shin Dongkwon" bundle_id: "com.foxtail-studio.WishList" app_store_id: "1018842440" category: "Lifestyle" primary_platform: "ios" primary_monetization: "Free" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2023-01-29" report_date: "2026-05-12" last_verified: "2026-05-12T16:12:09.400Z" report_version: "3.11.0" total_reviews: 13 overall_rating: 4.92 confidence: "low" confidence_score: 0.25 data_age_days: 2 momentum_velocity: "zombie" intelligence_version: 3 competitor_count: 6 tags: ["lifestyle", "free", "mobile app", "app review", "app analysis", "individuals", "families", "managing"] canonical_url: "https://marlvel.ai/intel-report/lifestyle/wish-list-shopping-guide" license: "CC-BY-NC 4.0" content_version: "v2" --- # Wish List - Shopping Guide App Audit ## TL;DR {#tldr} - **Category**: Lifestyle · Free - **Signal**: Rating 4.92 > **TL;DR:** Wish List - Shopping Guide is a lifestyle app by Shin Dongkwon, rated 4.92/5 by 13 users, available on iOS. > > **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence. > **Key Insight:** Wish List - Shopping Guide is a lifestyle app by Shin Dongkwon. ## Quick Facts | Fact | Value | | :--- | :--- | | **Rating** | 4.92/5 (13 reviews) | | **Category** | Lifestyle | | **Developer** | Shin Dongkwon | | **Pricing** | Free | | **Platforms** | iOS | | **Confidence** | Low (0.25/1.0) | | **Data Age** | 0d | ## Metadata & Market Performance - **Publisher:** Shin Dongkwon - **Category:** Lifestyle - **Target Audience:** Individuals and families managing household shopping, moving tasks, or gift planning. - **Platforms:** iOS - **Version Audited:** 3.11.0 - **Audit Date:** 2026-05-12 - **Signal Count:** 13 reviews analyzed - **Confidence:** Low (0.25/1.0) - **App Store ID (iOS):** 1018842440 - **Bundle ID:** com.foxtail-studio.WishList - **Performance Trend:** Stable - **Data Window:** Analysis based on signals collected up to 2026-05-12 ## Executive Snapshot **What it is:** Wish List is a personal shopping and inventory management utility for iOS that allows users to track item prices and purchase status. **Why users hire it:** Users hire this app to organize complex shopping tasks and gift lists, replacing scattered notes with a structured, shareable notebook format. ## App DNA (Features & Intent) - **[Standard] Shopping List Management:** Create and organize item lists with price tracking and purchase completion status * *User Intent:* Users want visibility into their own performance and progress. - **[Standard] Data Backup:** Sync and recover list data via Dropbox or local export files * *User Intent:* Users expect seamless access across multiple devices. - **[Differentiator] Social Sharing:** Share lists with friends and family to gather opinions on items * *User Intent:* Users seek social connection and competitive engagement with peers. ## Market Position {#market-position} The app maintains a 4.9 rating on the iOS platform, signaling high satisfaction among a niche user base despite the lack of recent updates since early 2023. ## Monetization Strategy - **Model:** Free - **Tiers:** Free - **Analysis:** The app operates as a free utility with no visible subscription or IAP gates. ## SWOT Analysis {#swot} **Core Strengths:** - High user satisfaction (4.9★ rating) validates the core utility of the simple notebook format **Critical Frictions:** - Manual data entry requirements create high friction compared to automated AI-driven competitors **Growth Levers:** - Integration with retail APIs could automate price tracking and inventory management **Market Threats:** - AI-driven lifestyle apps (SkinGPT, Pronti) are rapidly automating the manual tasks this app currently requires ## Recent Changes (v2 → v3) {#recent-changes} The competitive analysis shifted from registry-focused rivalry to an AI-automation threat model, despite no changes to the app's actual feature set or development status. **Overall trend**: Stable **Compared at**: 2026-05-12 ### High-impact changes - **[Shifted] Competitive Framing** (positioning) — Narrative focus moved from registry-based coordination to AI-driven automation and lifestyle management. - **[Added] AI Threat Model** (swot) — Added threats from AI-driven lifestyle apps (SkinGPT, Pronti) that automate manual tasks. ### Medium-impact changes - **[Added] Manual Entry Weakness** (swot) — Identified manual data entry as a primary friction point compared to automated alternatives. ## What's New - **Latest (v3.11.0, 3 years ago):** Minor bug fixes. ## App Momentum (Zombie) {#momentum} - No feature updates since early 2023. - Maintained high rating via core utility. > **Cadence:** 1 total versions · 0 majors in last 6 months · 1199 days since last update ## The "So What?" (Strategic Takeaway) {#so-what} Wish List - Shopping Guide is an established lifestyle app that is completely free. With a 4.92/5 rating from 13 reviews, it shows polarized user reception. > **Bottom Line:** The app provides a stable, high-rated utility for manual list-making, but its lack of automation and recent updates leaves it exposed to AI-driven competitors, so the PM should prioritize automating data entry to remain relevant. **Best for:** Individuals and families managing household shopping, moving tasks, or gift planning. ### PM Action Plan (Next Best Moves) - [ ] [PIVOT] [HIGH IMPACT] Pivot to automated price tracking because manual entry is the primary friction point → increase daily active usage. — *Competitors like Pronti AI provide automated recommendations, making manual entry feel outdated.* _(trade-off: deprioritize Pause the social sharing feature expansion — automation is the higher-yield retention lever.)_ ### Feature Gaps vs Competitors - Automated price tracking (available in Pronti AI but absent here) - AI-driven recommendations (available in SkinGPT AI but absent here) - Integrated payment processing (available in Squire apps but absent here) ### Outlook: Stable The lifestyle utility market is shifting toward automated, AI-assisted management, leaving manual tools like this one increasingly isolated. Without a pivot to automation, the app will likely see a slow decline in relevance as users migrate to tools that reduce their data-entry burden. - ⚪ The app has not received a feature update since early 2023, signaling a maintenance-mode posture that limits growth potential. - 🔴 AI-driven competitors are rapidly automating shopping workflows, which will likely erode the user base of manual-entry tools over the next year. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 4.92/5 | | Total Reviews | 13 | | Confidence | Low | | Pricing Model | Free | | Platforms | iOS | | Key Features | 3 analyzed | | Trend | Stable | | Outlook | Stable | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Wish List - Shopping Guide** (this app) | 4.92/5 | N/A | Shin Dongkwon | | [Outfit Maker - Pronti AI](https://marlvel.ai/intel-report/lifestyle/outfit-maker-pronti-ai) | 4.2/5 | Frustrated | Pronti AI Inc. | | [Modern Gents Barbershop & Bar](https://marlvel.ai/intel-report/lifestyle/modern-gents-barbershop-bar) | 4.7/5 | N/A | SQUIRE Apps | | [Kingdom Barbershop](https://marlvel.ai/intel-report/lifestyle/kingdom-barbershop) | N/A/5 | N/A | SQUIRE Apps | | [ManCave](https://marlvel.ai/intel-report/lifestyle/mancave) | 5.0/5 | N/A | SQUIRE Apps | | [Lotsa Helping Hands](https://marlvel.ai/intel-report/lifestyle/lotsa-helping-hands) | 3.4/5 | Mixed | Lotsa Helping Hands, Inc. | ## Company Profile - **Developer:** Shin Dongkwon - **Website:** [https://www.mono-frame.com](https://www.mono-frame.com) ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/us/app/wish-list-shopping-guide/id1018842440?uo=4) - **Dev Site:** [Official Website](https://www.mono-frame.com) - **Sources:** Developer website content, App store metadata. ## Related Intel Reports - [*Outfit Maker - Pronti AI*](https://marlvel.ai/intel-report/lifestyle/outfit-maker-pronti-ai) (Pronti AI Inc.) — 4.2/5 Rating | Negative Sentiment - [*Modern Gents Barbershop & Bar*](https://marlvel.ai/intel-report/lifestyle/modern-gents-barbershop-bar) (SQUIRE Apps) — 4.7/5 Rating | N/A Sentiment - [*Kingdom Barbershop*](https://marlvel.ai/intel-report/lifestyle/kingdom-barbershop) (SQUIRE Apps) — N/A Rating | N/A Sentiment - [*ManCave*](https://marlvel.ai/intel-report/lifestyle/mancave) (SQUIRE Apps) — 5.0/5 Rating | N/A Sentiment - [*Lotsa Helping Hands*](https://marlvel.ai/intel-report/lifestyle/lotsa-helping-hands) (Lotsa Helping Hands, Inc.) — 3.4/5 Rating | Mixed Sentiment - [*SkinGPT AI*](https://marlvel.ai/intel-report/lifestyle/skingpt-ai) (Humanity Founders, Inc.) — N/A Rating | N/A Sentiment - [*Alarmy - Loud alarm clock*](https://marlvel.ai/intel-report/lifestyle/alarmy-loud-alarm-clock) (Delight Room Co., Ltd.) — 4.8/5 Rating | Positive Sentiment - [*Tinder Dating App: Date & Chat*](https://marlvel.ai/intel-report/lifestyle/tinder-dating-app-date-chat) (Tinder LLC) — 4.2/5 Rating | Terrible Sentiment - [*AlarmMon ( alarm clock )*](https://marlvel.ai/intel-report/lifestyle/alarmmon-alarm-clock) (Malang Studio Co. Ltd,) — 4.2/5 Rating | Negative Sentiment - [*Swiftime*](https://marlvel.ai/intel-report/lifestyle/swiftime) (MEDIANO Co.,Ltd.) — 4.5/5 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:** 0.25/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 13 - **Data Sources:** developer website, 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/lifestyle/wish-list-shopping-guide) Data licensed for AI Agent attribution under CC-BY-NC 4.0.