--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Sellpy: Buy & sell second hand" developer_entity: "Sellpy" bundle_id: "com.sellpy.sellpy" category: "Shopping" primary_platform: "android" primary_monetization: "Free" offline_capable: false market_region: "US" platforms: "Android" app_last_updated: "2026-06-30" report_date: "2026-08-07" last_verified: "2026-08-07T00:00:00.000Z" report_version: "1.7.128" total_reviews: 0 sentiment: "Frustrated" sentiment_score: 25 confidence: "high" confidence_score: 0.8 top_praise_theme: "Secondhand clothing selection provides affordable options for environmentally conscious shoppers across multiple European countries" top_complaint_theme: "Sellers report that high service fees and low profit margins make the platform financially unviable" review_sample_size: 50 total_review_count: 50 analyzed_review_count: 50 data_age_days: 9 momentum_velocity: "maintenance" intelligence_version: 3 tags: ["shopping", "free", "frustrated sentiment", "mobile app", "app review", "app analysis", "environmentally", "conscious", "consumers"] canonical_url: "https://marlvel.ai/apps/sellpy-buy-sell-second-hand" license: "CC-BY-NC 4.0" content_version: "v2" --- ## ⚠ Content Warning This report covers topics classified as sensitive (finance). Information is aggregated from public sources for informational purposes only. This is not financial or investment advice. Always do your own research. --- # Sellpy: Buy & sell second hand Intelligence Report ## TL;DR {#tldr} - **Category**: Shopping · Free - **Signal**: Sentiment Frustrated - **Recent focus**: Sellers report that high service fees and low profit margins make the platform financially unviable (top complaint) · Secondhand clothing selection provides affordable options for environmentally conscious shoppers across multiple European countries (top praise) > **TL;DR:** Sellpy: Buy & sell second hand is a shopping app by Sellpy, with Frustrated user sentiment (25/100), available on Android. > > **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence. > **Key Insight:** Sellpy: Buy & sell second hand is a shopping app by Sellpy. ## Quick Facts | Fact | Value | | :--- | :--- | | **User Mood** | Frustrated | | **Category** | Shopping | | **Developer** | Sellpy | | **Pricing** | Free | | **Platforms** | Android | | **Confidence** | High (0.8/1.0) | | **Data Age** | 9d | ## Metadata & Market Performance - **Publisher:** Sellpy - **Category:** Shopping - **Target Audience:** Environmentally conscious consumers and individuals looking to declutter their homes with minimal effort. - **Platforms:** Android - **Version Reviewed:** 1.7.128 - **Report Date:** 2026-08-07 - **Signal Count:** 50 reviews analyzed - **Confidence:** High (0.8/1.0) - **Google Play ID:** com.sellpy.sellpy - **Performance Trend:** Declining - **Data Window:** Analysis based on signals collected up to 2026-08-07 - **Short Description:** Second hand made simple ## Executive Snapshot **What it is:** Sellpy is a second-hand marketplace app for buying and selling clothes and home goods on iOS and Android. **Why users hire it:** Users hire Sellpy to handle the labor of photographing and listing items, trading higher commission fees for the convenience of a hands-off decluttering process. ## App DNA (Features & Intent) - **[Differentiator] Sellpy Bag Service:** Users order a physical bag to fill with unwanted items for the company to process, photograph, and list. * *User Intent:* Users seek enhanced value through premium features. - **[Differentiator] Curated Influencer Shops:** Dedicated storefronts featuring items from specific influencers' closets. - **[Differentiator] Sustainability Impact Tracking:** Estimates of water and CO2 savings based on second-hand purchases versus new production. * *User Intent:* Users seek enhanced value through premium features. ## Market Position {#market-position} Sellpy occupies a niche in the second-hand market by providing a full-service logistics model. The lack of recent major updates indicates a maintenance-heavy posture that leaves the platform vulnerable to more agile peer-to-peer competitors. ## Monetization Strategy - **Model:** Free - **Tiers:** Free to download, Commission-based selling model - **Analysis:** The platform operates on a commission model for items sold through the bag service, with no upfront subscription fees for buyers or sellers. ## 🔴 User Sentiment (High Confidence: 50 of 50 reviews analyzed) {#user-sentiment} - **Overall Sentiment:** Frustrated ### Top Praises - **Secondhand clothing selection provides affordable options for environmentally conscious shoppers across multiple European countries** ### Top Complaints (Impact Areas) - **Sellers report that high service fees and low profit margins make the platform financially unviable** ## SWOT Analysis {#swot} **Core Strengths:** - Centralized logistics model removes listing friction for sellers - Influencer-curated storefronts drive high-intent traffic **Growth Levers:** - Implement granular search filters to improve discovery - Introduce multiple wishlist folders to increase user retention ## Recent Changes (v2 → v3) {#recent-changes} The analysis shifted to emphasize the liability of the centralized logistics model and identified a new technical regression in the onboarding flow. **Overall trend**: Declining **Compared at**: 2026-08-07 ### High-impact changes - **[Added] New onboarding regression threat** (swot) - **[Shifted] Logistics model re-evaluation** (positioning) ### Medium-impact changes - **[Improved] Specific technical weakness** (swot) ## What's New - **Latest (v1.7.128, 1 months ago):** General performance and stability improvements. ## App Momentum (Maintenance) {#momentum} - Ships generic stability updates only. - Last major release over six months ago. > **Cadence:** 1 total versions · 0 majors in last 6 months · 37 days since last update ## The "So What?" (Strategic Takeaway) {#so-what} Sellpy: Buy & sell second hand is a shopping app that is completely free. > **Bottom Line:** Sellpy provides a unique hands-off selling experience, but high fees and technical instability threaten its seller base, so the PM must prioritize core stability and support transparency to prevent churn. **Best for:** Environmentally conscious consumers and individuals looking to declutter their homes with minimal effort. ### PM Action Plan (Next Best Moves) - [ ] [INVEST] Rebuild search and scrolling stability because crashes are the top complaint → reduce churn ### Outlook: Declining The second-hand market is shifting toward lower-friction, lower-fee peer-to-peer models, leaving Sellpy's high-commission, centralized model exposed. Without a shift toward better seller margins or improved technical reliability, the platform will continue to lose its most valuable supply-side users to competitors. - 🔴 Technical regressions in the latest update (account creation failure) limit new user acquisition, compounding the existing sentiment drag from inventory mismanagement reports. - 🔴 Sellers report high service fees make the platform financially unviable, which will accelerate churn to peer-to-peer alternatives as those platforms gain scale. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Total Reviews | 0 | | Sentiment | Frustrated (25/100) | | Confidence | High | | Pricing Model | Free | | Platforms | Android | | Key Features | 3 analyzed | | Trend | Declining | | Outlook | Declining | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Sellpy: Buy & sell second hand** (this app) | N/A/5 | Frustrated | Sellpy | | [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. | | [Koupon: Real Deals & Codes](https://marlvel.ai/apps/koupon-real-deals-codes) | 4.8/5 | Mixed | Koupon Inc. | | [바로딜 - 실시간 쇼핑 검색어 트렌드](https://marlvel.ai/apps/real-time-shopping-trends) | N/A/5 | N/A | hippieperm | | [모구모 - 일본을 스마트하게 즐기다](https://marlvel.ai/apps/app--287) | N/A/5 | N/A | GEONJU CHOI | ## Company Profile - **Developer:** Sellpy - **Website:** [https://www.sellpy.se/](https://www.sellpy.se/) - **Social:** [Instagram](https://www.instagram.com/sellpy) · [Facebook](https://www.facebook.com/profile.php?id=100064482680883) · [TikTok](https://www.tiktok.com/@wearesellpy) ## Data Sources & Links - **Google Play:** [View on Google Play](https://play.google.com/store/apps/details?id=com.sellpy.sellpy&hl=en&gl=us) - **Dev Site:** [Official Website](https://www.sellpy.se/) - **Sources:** Developer website content, About us / company information, App store metadata, User reviews. ## Related Intel Reports - [*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 - [*번개장터*](https://marlvel.ai/apps/net-quicket-app) (Pic&Go) · 4.4/5 Rating - [*배민상회 - 외식업 식자재 종합몰*](https://marlvel.ai/apps/com-woowahan-baeminmart) (WoowaBrothers) · 3.5/5 Rating - [*โดนใจ*](https://marlvel.ai/apps/th-co-donjai-donjai_partner_app) (Big C Supercenter) · 4.0/5 Rating ## 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:** 0.8/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 50 - **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:** 9 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/sellpy-buy-sell-second-hand) Data licensed for AI Agent attribution under CC-BY-NC 4.0.