--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Filter: spam & junk block" developer_entity: "Mikhail Panfilov" bundle_id: "com.mikhail-panfilov.FilterApp" app_store_id: "1413913385" category: "Utilities" primary_platform: "ios" primary_monetization: "Free" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2025-12-15" report_date: "2026-08-08" last_verified: "2026-08-08T00:00:00.000Z" report_version: "1.2" total_reviews: 5 overall_rating: 4.2 sentiment: "Mixed" sentiment_score: 50 confidence: "low" confidence_score: 0.3 top_praise_theme: "The core filtering functionality performs effectively for the majority of users during daily message screening" top_complaint_theme: "Filtering logic fails to catch spam messages containing blacklisted keywords from unknown sender numbers" review_sample_size: 3 total_review_count: 3 analyzed_review_count: 3 data_age_days: 18 momentum_velocity: "zombie" intelligence_version: 3 tags: ["utilities", "free", "mixed sentiment", "mobile app", "app review", "app analysis", "mobile", "users", "seeking"] canonical_url: "https://marlvel.ai/apps/filter-spam-junk-block" license: "CC-BY-NC 4.0" content_version: "v2" --- # Filter: spam & junk block Intelligence Report ## TL;DR {#tldr} - **Category**: Utilities · Free - **Signal**: Rating 4.2 · Sentiment Mixed - **Recent focus**: Filtering logic fails to catch spam messages containing blacklisted keywords from unknown sender numbers (top complaint) · The core filtering functionality performs effectively for the majority of users during daily message screening (top praise) > **TL;DR:** Filter: spam & junk block is a utilities app by Mikhail Panfilov, rated 4.2/5 by 5 users, with Mixed user sentiment (50/100), available on iOS. > > **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence. > **Key Insight:** Filter: spam & junk block shows Mixed sentiment (4.2/5 from 5 reviews) - users praise the core filtering functionality performs effectively for the majority of users during daily message screening but report issues with filtering logic fails to catch spam messages containing blacklisted keywords from unknown sender numbers. ## Quick Facts | Fact | Value | | :--- | :--- | | **Rating** | 4.2/5 (5 reviews) | | **User Mood** | Mixed | | **Category** | Utilities | | **Developer** | Mikhail Panfilov | | **Pricing** | Free | | **Platforms** | iOS | | **Confidence** | Low (0.3/1.0) | | **Data Age** | 18d | ## Metadata & Market Performance - **Publisher:** Mikhail Panfilov - **Category:** Utilities - **Target Audience:** Mobile users seeking to reduce unsolicited SMS and MMS clutter on their devices. - **Platforms:** iOS - **Version Reviewed:** 1.2 - **Report Date:** 2026-08-08 - **Signal Count:** 3 reviews analyzed - **Confidence:** Low (0.3/1.0) - **App Store ID (iOS):** 1413913385 - **Bundle ID:** com.mikhail-panfilov.FilterApp - **Performance Trend:** Stable - **Data Window:** Analysis based on signals collected up to 2026-08-08 ## Executive Snapshot **What it is:** Filter: spam & junk block is a utility app for iOS that filters unsolicited SMS and MMS messages based on user-defined keywords. **Why users hire it:** Users hire this app to reduce daily message clutter through automated keyword-based redirection. The job-to-be-done is to reclaim inbox focus from unsolicited commercial SMS traffic. ## App DNA (Features & Intent) - **[Standard] Keyword-based SMS filtering:** Automatically moves incoming SMS or MMS messages containing specific keywords to a Junk folder. * *User Intent:* Users want to quickly find relevant content or features. - **[Standard] Custom block list management:** Allows users to add or delete personalized keywords to the filter criteria. * *User Intent:* Users value self-expression and personalized experiences. - **[Differentiator] Pre-configured country-specific keyword lists:** Includes a pre-populated database of spam keywords tailored to specific geographic regions. * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior. ## Market Position {#market-position} Filter: spam & junk block maintains a niche presence in the Utilities category with a 4.2-star rating across 5 total ratings. The lack of updates since December 2025 signals a stagnant market position relative to native OS filtering capabilities. ## Monetization Strategy - **Model:** Free - **Tiers:** Free - **Analysis:** The app is currently distributed as a free utility with no visible subscription or in-app purchase gates. ## 🟡 User Sentiment (Low Confidence: 3 of 3 reviews analyzed) {#user-sentiment} - **Overall Rating:** 4.2/5 - **Platform Split:** iOS 4.2/5 (5 ratings) - **Overall Sentiment:** Mixed ### Top Praises - **The core filtering functionality performs effectively for the majority of users during daily message screening** ### Top Complaints (Impact Areas) - **Filtering logic fails to catch spam messages containing blacklisted keywords from unknown sender numbers** ## SWOT Analysis {#swot} **Core Strengths:** - Pre-configured country-specific keyword lists function as a low-friction entry point for users in supported regions. **Growth Levers:** - Integrating machine learning-based sender analysis could address the current keyword-only limitation. ## Recent Changes (v2 → v3) {#recent-changes} The intelligence report has shifted from a general recommendation to sunset the app toward a more granular focus on fixing specific UI-permission bugs to stabilize retention. **Overall trend**: Stable **Compared at**: 2026-08-08 ### High-impact changes - **[Shifted] Strategic Outlook** (positioning) ### Medium-impact changes - **[Shifted] Threat Assessment** (swot) ### Low-impact changes - **[Shifted] Strength Framing** (swot) ## What's New - **Latest (v1.2, 7 months ago):** General bug fixes and performance improvements. ## App Momentum (Zombie) {#momentum} - Ships no new features since 2025. - Maintains maintenance-mode update cadence. > **Cadence:** 1 total versions · 0 majors in last 6 months · 235 days since last update ## The "So What?" (Strategic Takeaway) {#so-what} Filter: spam & junk block is an utilities app that is completely free. It holds a 4.2/5 rating from 5 reviews. > **Bottom Line:** Filter: spam & junk block provides a basic keyword-filtering utility, but the failure to block messages from unknown senders and the lack of updates since late 2025 make it vulnerable to OS-level native features, so the PM should prioritize a stability audit to address false permission alerts before considering feature expansion. **Best for:** Mobile users seeking to reduce unsolicited SMS and MMS clutter on their devices. ### PM Action Plan (Next Best Moves) - [ ] [MAINTAIN] Audit permission-check logic because users report persistent false alerts regarding activation status → reduce negative sentiment. ### Outlook: Declining The market for standalone SMS filtering is shrinking as mobile operating systems integrate native, AI-driven spam detection. Filter: spam & junk block's reliance on manual keyword lists and its current maintenance-mode status leave it poorly positioned to compete with these native solutions, so the PM must decide whether to pivot to a niche filtering use case or sunset the application to avoid further brand erosion. - 🔴 The lack of feature updates for over seven months suggests the app is in maintenance mode, which leaves it exposed to native OS spam-filtering improvements. - 🔴 Persistent false alerts regarding permission status create a negative feedback loop that discourages long-term retention, as users perceive the app as broken. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 4.2/5 | | Total Reviews | 5 | | Sentiment | Mixed (50/100) | | Confidence | Low | | Pricing Model | Free | | Platforms | iOS | | Key Features | 3 analyzed | | Trend | Stable | | Outlook | Declining | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Filter: spam & junk block** (this app) | 4.2/5 | Mixed | Mikhail Panfilov | | [avoVPN Desktop](https://marlvel.ai/apps/avovpn-desktop) | N/A/5 | N/A | Avocado VPN Technologies | | [Free VPN by Free VPN .org™](https://marlvel.ai/apps/free-vpn-by-free-vpn-org) | 4.5/5 | Mixed | Free VPN LLC | | [Fusvob VPN : Super VPN 2026](https://marlvel.ai/apps/com-toplinkc-foxexcellent) | 4.4/5 | Mixed | Fuxin Technology | | [Potatso](https://marlvel.ai/apps/potatso) | 4.4/5 | n/a | Potatso Lab LTD | | [Quantumult X](https://marlvel.ai/apps/quantumult-x) | 3.8/5 | N/A | Cross Utility Ltd | ## Company Profile - **Developer:** Mikhail Panfilov ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/us/app/filter-spam-junk-block/id1413913385?uo=4) - **Sources:** App store metadata, User reviews. ## Related Intel Reports - [*avoVPN Desktop*](https://marlvel.ai/apps/avovpn-desktop) (Avocado VPN Technologies) · N/A Rating - [*Free VPN by Free VPN .org™*](https://marlvel.ai/apps/free-vpn-by-free-vpn-org) (Free VPN LLC) · 4.5/5 Rating - [*Fusvob VPN : Super VPN 2026*](https://marlvel.ai/apps/com-toplinkc-foxexcellent) (Fuxin Technology) · 4.4/5 Rating - [*Potatso*](https://marlvel.ai/apps/potatso) (Potatso Lab LTD) · 4.4/5 Rating - [*Quantumult X*](https://marlvel.ai/apps/quantumult-x) (Cross Utility Ltd) · 3.8/5 Rating - [*V2Box - V2ray Client*](https://marlvel.ai/apps/v2box-v2ray-client) (techlaim) · 4.6/5 Rating - [*카톡 분석 - 오픈채팅, 카톡 채팅 분석, 통계, 검색*](https://marlvel.ai/apps/com-liger-katalkanalysispaid) (Park Sung Cheol) · N/A Rating - [*로또 황금번호 생성기*](https://marlvel.ai/apps/lotto-lottogold) (jaehwan lee) · N/A Rating - [*도사폰 (만세력 역학도구)*](https://marlvel.ai/apps/app--656) (Softchaser Company Limited) · 5.0/5 Rating - [*근로자 공수달력*](https://marlvel.ai/apps/jaehwan-worktracer) (jaehwan lee) · N/A Rating ## Frequently Asked Questions {#faq} ### Is Filter: spam & junk block free to use? Yes, the app is currently distributed as a free utility with no visible subscription or in-app purchase gates. ### Does this app block all spam messages? No, user reviews indicate that the filtering logic fails to catch spam messages containing blacklisted keywords when the sender is unknown. ### Why does the app keep asking for permissions I already granted? Users report that the application incorrectly prompts them to activate features that are already enabled within system settings, which is a known interface issue. ## 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:** 0.3/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 3 - **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:** 18 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/filter-spam-junk-block) Data licensed for AI Agent attribution under CC-BY-NC 4.0.