--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Jófogás - Apróhirdetés" developer_entity: "Jófogás Kft." bundle_id: "com.schibsted.iberica.jofogas" app_store_id: "1064914384" 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: "2026-05-19" last_verified: "2026-05-19T23:20:59.328Z" report_version: "2.82" total_reviews: 245033 overall_rating: 4.09 confidence: "low" confidence_score: 0.25 data_age_days: 43 intelligence_version: 2 tags: ["shopping", "free", "mobile app", "app review", "app analysis", "individuals", "looking", "personal"] canonical_url: "https://marlvel.ai/intel-report/shopping/com-schibsted-iberica-jofogas" license: "CC-BY-NC 4.0" content_version: "v2" --- # Jófogás - Apróhirdetés App Audit ## TL;DR {#tldr} - **Category**: Shopping · Free - **Signal**: Rating 4.09 > **TL;DR:** Jófogás - Apróhirdetés is a shopping app by Jófogás Kft., rated 4.09/5 by 245K users, available on iOS & Android. > > **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence. > **Key Insight:** Jófogás - Apróhirdetés is a shopping app by Jófogás Kft.. ## Quick Facts | Fact | Value | | :--- | :--- | | **Rating** | 4.09/5 (245K reviews) | | **Category** | Shopping | | **Developer** | Jófogás Kft. | | **Pricing** | Free | | **Platforms** | iOS & Android | | **Confidence** | Low (0.25/1.0) | | **Data Age** | 0d | ## Metadata & Market Performance - **Publisher:** Jófogás Kft. - **Category:** Shopping - **Target Audience:** Individuals looking to buy or sell personal items within the Hungarian market. - **Platforms:** iOS & Android - **Version Audited:** 2.82 - **Audit Date:** 2026-05-19 - **Signal Count:** 5 reviews analyzed - **Confidence:** Low (0.25/1.0) - **App Store ID (iOS):** 1064914384 - **Bundle ID:** com.schibsted.iberica.jofogas - **Google Play ID:** com.schibsted.iberica.jofogas - **Data Window:** Analysis based on signals collected up to 2026-05-19 - **Short Description:** Töltsd le a Jófogás applikációját és kezeld könnyen mobilról is hirdetéseidet! ## Executive Snapshot Jófogás is a Hungarian classifieds marketplace that enables users to buy and sell new or used goods across nine categories. The platform facilitates local and national commerce through integrated search, photo uploads, and direct communication tools. ## App DNA (Features & Intent) - **[Standard] Advanced Search:** Allows users to filter listings by region, settlement, or specific criteria to narrow down results. * *User Intent:* Users want to quickly find relevant content or features. - **[Standard] Similar Listings:** Provides a 'View similar ads' button in select categories to help users discover related products based on visual matches. * *User Intent:* Users want to quickly find relevant content or features. - **[Standard] Communication Tools:** Enables direct contact with sellers via phone, SMS, or the platform's internal messaging system. * *User Intent:* Users want real-time communication within the app experience. - **[Standard] Mobile Listing Creation:** Supports quick product posting by allowing users to upload photos directly from their mobile device. * *User Intent:* Users seek enhanced value through premium features. ## Monetization Strategy - **Model:** Free ## The "So What?" (Strategic Takeaway) {#so-what} Jófogás - Apróhirdetés is an established shopping app that is completely free. With a 4.09/5 rating from 245K reviews, it shows polarized user reception. > **Bottom Line:** Jófogás serves as a high-traffic marketplace for peer-to-peer trade, though users have expressed a need for improved feedback mechanisms to mitigate fraud. **Best for:** Individuals looking to buy or sell personal items within the Hungarian market. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 4.09/5 | | Total Reviews | 245K | | Confidence | Low | | Pricing Model | Free | | Platforms | iOS & Android | | Key Features | 4 analyzed | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Jófogás - Apróhirdetés** (this app) | 4.09/5 | N/A | Jófogás Kft. | | [Best Buy: Tech Deals & Savings](https://marlvel.ai/intel-report/shopping/best-buy-tech-deals-savings) | 4.9/5 | Excited | Best Buy Co., Inc. | | [Koupon: Real Deals & Codes](https://marlvel.ai/intel-report/shopping/koupon-real-deals-codes) | 4.8/5 | N/A | Koupon Inc. | | [Groupon - Local Deals Near Me](https://marlvel.ai/intel-report/shopping/groupon-local-deals-near-me) | 4.8/5 | Mixed | Groupon, Inc. | | [Flying Blue+](https://marlvel.ai/intel-report/shopping/flying-blue) | 2.4/5 | N/A | Societe Air France S.A. | | [Lazada 5.5 Sale](https://marlvel.ai/intel-report/shopping/lazada-5-5-sale) | 4.7/5 | Frustrated | Lazada Group GmbH | ## Company Profile - **Developer:** Jófogás Kft. - **Website:** [https://www.jofogas.hu](https://www.jofogas.hu) ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/hu/app/j%C3%B3fog%C3%A1s/id1064914384?uo=4) - **Google Play:** [View on Google Play](https://play.google.com/store/apps/details?id=com.schibsted.iberica.jofogas) - **Dev Site:** [Official Website](https://www.jofogas.hu) - **Sources:** App store metadata, User reviews. ## Related Intel Reports - [*Best Buy: Tech Deals & Savings*](https://marlvel.ai/intel-report/shopping/best-buy-tech-deals-savings) (Best Buy Co., Inc.) — 4.9/5 Rating | Positive Sentiment - [*Koupon: Real Deals & Codes*](https://marlvel.ai/intel-report/shopping/koupon-real-deals-codes) (Koupon Inc.) — 4.8/5 Rating | N/A Sentiment - [*Groupon - Local Deals Near Me*](https://marlvel.ai/intel-report/shopping/groupon-local-deals-near-me) (Groupon, Inc.) — 4.8/5 Rating | Mixed Sentiment - [*Flying Blue+*](https://marlvel.ai/intel-report/shopping/flying-blue) (Societe Air France S.A.) — 2.4/5 Rating | N/A Sentiment - [*Lazada 5.5 Sale*](https://marlvel.ai/intel-report/shopping/lazada-5-5-sale) (Lazada Group GmbH) — 4.7/5 Rating | Negative Sentiment - [*Wish: Shop and Save*](https://marlvel.ai/intel-report/shopping/wish-shop-and-save) (ContextLogic Inc.) — 4.7/5 Rating | Mixed Sentiment - [*Gensmo: AI Stylist & Try-On*](https://marlvel.ai/intel-report/shopping/one-srp-favie) (Serendipity One Inc.) — 4.6/5 Rating | N/A Sentiment - [*Carely App*](https://marlvel.ai/intel-report/shopping/carely-app) (Dhameliya Infotech private limited) — N/A Rating | N/A Sentiment - [*Supreme Community: Legit Check*](https://marlvel.ai/intel-report/shopping/supreme-community-legit-check) (Novelti) — 4.7/5 Rating | N/A Sentiment - [*Tech HUB App*](https://marlvel.ai/intel-report/shopping/tech-hub-app) (Dhameliya Infotech private limited) — N/A Rating | N/A 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:** 5 - **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:** 0 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/intel-report/shopping/com-schibsted-iberica-jofogas) Data licensed for AI Agent attribution under CC-BY-NC 4.0.