--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "PokeCollect" developer_entity: "Manajet" bundle_id: "fr.lifeloot.app" app_store_id: "1478322412" category: "Utilities" primary_platform: "ios" primary_monetization: "Freemium" offline_capable: false market_region: "US" platforms: "iOS & Android" app_last_updated: "2025-01-26" report_date: "2026-05-13" last_verified: "2026-05-13T00:21:06.740Z" report_version: "1.8.0" total_reviews: 1 overall_rating: 3 confidence: "low" confidence_score: 0.2 data_age_days: 50 momentum_velocity: "zombie" intelligence_version: 3 nemesis: "Pokellector: Card Collector" competitor_count: 7 tags: ["utilities", "freemium", "mobile app", "app review", "app analysis", "french-speaking", "pokémon", "collectors"] canonical_url: "https://marlvel.ai/apps/pokecollect" license: "CC-BY-NC 4.0" content_version: "v2" --- # PokeCollect App Audit ## TL;DR {#tldr} - **Category**: Utilities · Freemium - **Signal**: Rating 3 > **TL;DR:** PokeCollect is a utilities app by Manajet, rated 3/5 by 1 users, available on iOS & Android. > > **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence. > **Key Insight:** PokeCollect is a utilities app by Manajet. ## Quick Facts | Fact | Value | | :--- | :--- | | **Rating** | 3/5 (1 reviews) | | **Category** | Utilities | | **Developer** | Manajet | | **Pricing** | Freemium | | **Platforms** | iOS & Android | | **Confidence** | Low (0.2/1.0) | | **Data Age** | 50d | ## Metadata & Market Performance - **Publisher:** Manajet - **Category:** Utilities - **Target Audience:** French-speaking Pokémon card collectors seeking to track collection value and manage inventory for trading purposes. - **Platforms:** iOS & Android - **Version Audited:** 1.8.0 - **Audit Date:** 2026-05-13 - **Signal Count:** 1 reviews analyzed - **Confidence:** Low (0.2/1.0) - **App Store ID (iOS):** 1478322412 - **Bundle ID:** fr.lifeloot.app - **Google Play ID:** fr.lifeloot.app - **Performance Trend:** Declining - **Data Window:** Analysis based on signals collected up to 2026-05-13 ## Executive Snapshot **What it is:** PokeCollect is a utility app for French-speaking Pokémon card collectors to track inventory and market values on iOS and Android. **Why users hire it:** Users hire the app to reduce the manual labor of cataloging thousands of cards, allowing them to focus on trading and collection valuation. ## App DNA (Features & Intent) - **[Differentiator] Market Price Tracking:** Real-time card valuation data sourced from Cardmarket. * *User Intent:* Users want visibility into their own performance and progress. - **[Standard] Collection Management:** Cataloging system for 20,000+ French cards. * *User Intent:* Users are motivated by consistent progression and daily incentives. - **[Differentiator] AI Scanner:** Image recognition for automated card identification. * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior. ## Market Position {#market-position} PokeCollect operates as a niche utility in the French market, currently holding a 3.0-star rating on iOS with minimal review volume. The lack of Android rating data signals low market penetration compared to established global competitors. ## Monetization Strategy - **Model:** Freemium - **Tiers:** Free tier with ads, Pro tier at 29.99€/year - **Analysis:** Freemium model utilizes feature gating on advanced data and ad removal to drive subscription conversion. ## SWOT Analysis {#swot} **Core Strengths:** - 15,000-card French database provides localized entry point **Critical Frictions:** - 3.0-star rating indicates poor user satisfaction **Growth Levers:** - AI-grading integration could capture high-intent segment **Market Threats:** - Global competitors siphon core collector base ## Recent Changes (v2 → v3) {#recent-changes} The app has transitioned into a maintenance phase with a strategic pivot toward AI-grading features to counter obsolescence against AI-first utility competitors. **Overall trend**: Declining **Compared at**: 2026-05-13 ### High-impact changes - **[Shifted] PM Action Item Pivot** (features) — Priority shifted from bulk-scanning to AI-grading estimation to capture high-intent collector segments. - **[Shifted] Competitive Landscape Expansion** (positioning) — Landscape now includes broader AI-utility apps like iRock and iCoin to illustrate the shift toward automated identification. ### Medium-impact changes - **[Shifted] SWOT Analysis Refinement** (swot) — Strengths updated to focus on the 15,000-card database; weaknesses updated to highlight the 3.0-star rating. - **[Added] Updated Feature Gaps** (features) — Added AI-driven condition grading and global set database as primary missing features. ## Rivals Landscape {#rivals} > Competitive positioning identified by AI analysis of app features, category, and market signals. ### PokeCollect vs Pokellector: Card Collector — Head to Head - **[Pokellector: Card Collector](https://marlvel.ai/apps/pokellector-card-collector)** by Makazu Co: Pokellector is the direct market leader in the Pokémon card tracking space, offering a comprehensive database that serves the exact same user base as PokeCollect. - **Key differences:** - Established global set database provides superior historical data coverage compared to PokeCollect's current feature set. - Integrated PTCGO price tracking creates a strong data flywheel that keeps collectors returning for market updates. - Over a decade of market presence has built significant brand-as-category authority within the Pokémon collecting community. - **Where PokeCollect wins:** - ✅ Potential for a more modern, streamlined UI that avoids the legacy bloat found in older, established apps. - ✅ Opportunity to implement faster, AI-driven scanning technology that outperforms manual entry-heavy legacy competitors. - **Where Pokellector: Card Collector wins:** - ❌ Massive, battle-tested database of thousands of cards that provides immediate utility to any new user. - ❌ High user trust and review volume act as a significant barrier to entry for new, unproven collection apps. - **Verdict:** PokeCollect must prioritize a superior, frictionless AI scanning experience to differentiate from Pokellector's manual-heavy legacy workflow. ### Peers (What They Do Better) - **[ScanMaster for ELM327 OBD-2](https://marlvel.ai/apps/com-super-1)** by SMART Technologies GmBH: Though in the Business category, it competes for the same 'diagnostic utility' user mindset by providing complex data visualization for physical hardware. - Graphical data representation turns complex diagnostic inputs into actionable insights, a model for visualizing card collection trends. - Pro version upgrade path demonstrates a successful monetization strategy for long-term utility app sustainability. - **[ColorAssist Lite](https://marlvel.ai/apps/colorassist-lite)** by FTLapps LLC: This app shares the 'Utilities' category and focuses on real-time camera-based identification, representing a similar UX pattern for asset management. - Real-time camera color capture provides a highly responsive UX that sets a benchmark for mobile scanning speed. - Simple export and sharing functionality allows users to move data easily, a feature PokeCollect should prioritize for retention. - **[Card Grading Tool TCG](https://marlvel.ai/apps/card-grading-tool-tcg)** by Biographics Consultoria e Design LTDA: This app targets the specific pain point of card condition analysis, which is a critical sub-segment of the broader Pokémon card collection market. - Specialized AI grading estimation provides objective value assessments that go beyond simple inventory tracking features. - Focus on detailed condition analysis addresses a high-intent user need that PokeCollect currently lacks in its feature set. - **[iRock: Stone & Rock Identifier](https://marlvel.ai/apps/irock-stone-rock-identifier)** by BerthX: While the subject matter differs, this app competes for the same 'collection management' utility category by using AI-driven identification for physical assets. - Advanced AI rock recognition technology demonstrates a superior technical approach to physical object identification and classification. - Integrated market value estimation provides a monetization and utility model that PokeCollect could replicate for card values. ### New Kids on the Block (What's Innovative) - **[Reliq Snap: Antique Identifier](https://marlvel.ai/apps/reliq-snap-antique-identifier)** by BerthX: This app validates the market demand for AI-powered identification and real-time auction tracking for niche physical collectibles. - Real-time auction price tracking provides a dynamic, high-value feature that keeps users engaged with current market fluctuations. - **[iCoin: Snap Coin Identifier](https://marlvel.ai/apps/icoin-snap-coin-identifier)** by BerthX: This newcomer utilizes the same AI-based 'snap-to-identify' workflow as PokeCollect, signaling a shift toward automated collection management. - Rapid deployment of AI coin recognition suggests a scalable technical framework that could be adapted for card identification. ## What's New - **Latest (v1.8.0, 1 years ago):** General version update with no specific functional changes. ## App Momentum (Zombie) {#momentum} - Last major release Jan 2025. - Ships infrequent stability updates. > **Cadence:** 2 total versions · 0 majors in last 6 months · 471 days since last update · 1 days avg between updates ## The "So What?" (Strategic Takeaway) {#so-what} PokeCollect is an established utilities app that is free with in-app purchases. With a 3/5 rating from 1 reviews, it shows polarized user reception. > **Bottom Line:** PokeCollect provides localized value through its French-language database, but it risks obsolescence against AI-first competitors, so the PM should prioritize AI-grading features to differentiate from manual-entry rivals. **Best for:** French-speaking Pokémon card collectors seeking to track collection value and manage inventory for trading purposes. ### PM Action Plan (Next Best Moves) - [ ] [INVEST] [HIGH IMPACT] Ship AI-grading estimation because it addresses the high-intent condition-tracking gap → capture specialized collector segment. — *Competitor Card Grading Tool TCG successfully targets this high-intent sub-segment.* _(trade-off: deprioritize Pause the UI-refresh sprint — condition-tracking has higher revenue-conversion potential.)_ ### Feature Gaps vs Competitors - AI-driven condition grading (available in Card Grading Tool TCG) - Global set database (available in Pokellector) ### Outlook: Stable The collectible-utility market is consolidating around AI-driven identification and global data coverage. PokeCollect remains exposed by its reliance on manual cataloging, so long-term viability depends on pivoting to automated grading features to retain the high-intent collector base. - 🔴 Stagnant 3.0-star rating indicates the current feature set fails to meet user expectations for modern utility apps. - ⚪ Recent updates focus on stability rather than feature expansion, suggesting the app is currently in maintenance mode. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 3/5 | | Total Reviews | 1 | | Confidence | Low | | Pricing Model | Freemium | | Platforms | iOS & Android | | Key Features | 3 analyzed | | Trend | Declining | | Outlook | Stable | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **PokeCollect** (this app) | 3/5 | N/A | Manajet | | [ScanMaster for ELM327 OBD-2](https://marlvel.ai/apps/com-super-1) | 4.1/5 | Mixed | SMART Technologies GmBH | | [Card Grading Tool TCG](https://marlvel.ai/apps/card-grading-tool-tcg) | 3.5/5 | N/A | Biographics Consultoria e Design LTDA | | [Pokellector: Card Collector](https://marlvel.ai/apps/pokellector-card-collector) | 4.7/5 | Excited | Makazu Co | | [iRock: Stone & Rock Identifier](https://marlvel.ai/apps/irock-stone-rock-identifier) | 4.6/5 | N/A | BerthX | | [Reliq Snap: Antique Identifier](https://marlvel.ai/apps/reliq-snap-antique-identifier) | N/A/5 | N/A | BerthX | ## Company Profile - **Developer:** Manajet - **Website:** [https://www.pokecollect.fr](https://www.pokecollect.fr) - **Social:** [Instagram](https://www.instagram.com/pocketcollect.app) · [TikTok](https://www.tiktok.com/@pocketcollect.app) · [Discord](https://discord.gg/StDcxvXShY) ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/us/app/pokecollect/id1478322412?uo=4) - **Google Play:** [View on Google Play](https://play.google.com/store/apps/details?id=fr.lifeloot.app&hl=en&gl=us) - **Dev Site:** [Official Website](https://www.pokecollect.fr) - **Sources:** Developer website content, App store metadata. ## Related Intel Reports - [*ScanMaster for ELM327 OBD-2*](https://marlvel.ai/apps/com-super-1) (SMART Technologies GmBH) — 4.1/5 Rating | Mixed Sentiment - [*Card Grading Tool TCG*](https://marlvel.ai/apps/card-grading-tool-tcg) (Biographics Consultoria e Design LTDA) — 3.5/5 Rating | N/A Sentiment - [*Pokellector: Card Collector*](https://marlvel.ai/apps/pokellector-card-collector) (Makazu Co) — 4.7/5 Rating | Positive Sentiment - [*iRock: Stone & Rock Identifier*](https://marlvel.ai/apps/irock-stone-rock-identifier) (BerthX) — 4.6/5 Rating | N/A Sentiment - [*Reliq Snap: Antique Identifier*](https://marlvel.ai/apps/reliq-snap-antique-identifier) (BerthX) — N/A Rating | N/A Sentiment - [*iCoin: Snap Coin Identifier*](https://marlvel.ai/apps/icoin-snap-coin-identifier) (BerthX) — N/A Rating | N/A Sentiment - [*ColorAssist Lite*](https://marlvel.ai/apps/colorassist-lite) (FTLapps LLC) — 3.8/5 Rating | N/A Sentiment - [*Potatso*](https://marlvel.ai/apps/potatso) (Potatso Lab LTD) — 4.4/5 Rating | Positive Sentiment - [*V2Box - V2ray Client*](https://marlvel.ai/apps/v2box-v2ray-client) (techlaim) — 4.5/5 Rating | N/A Sentiment - [*Quantumult X*](https://marlvel.ai/apps/quantumult-x) (Cross Utility Ltd) — 3.8/5 Rating | Negative 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:** 0.2/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 1 - **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:** 50 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/pokecollect) Data licensed for AI Agent attribution under CC-BY-NC 4.0.