--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "SMS Spam Block" developer_entity: "Victor Pavlychko" bundle_id: "wtf.address.MessageFilter" app_store_id: "1283355601" category: "Utilities" primary_platform: "ios" primary_monetization: "Free" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2017-10-09" report_date: "2026-10-27" last_verified: "2026-10-27T00:00:00.000Z" report_version: "1.1" total_reviews: 9 overall_rating: 4 sentiment: "Excited" sentiment_score: 65 confidence: "low" confidence_score: 0.35 top_praise_theme: "Keyword-based blocking allows users to filter specific spam content like unwanted email addresses or job advertisements" top_complaint_theme: "Users report the app fails to filter messages containing specific keywords despite correct configuration and setup" review_sample_size: 8 total_review_count: 8 analyzed_review_count: 8 data_age_days: 19 momentum_velocity: "zombie" intelligence_version: 2 tags: ["utilities", "free", "excited sentiment", "mobile app", "app review", "app analysis", "users", "seeking", "reduce"] canonical_url: "https://marlvel.ai/apps/sms-spam-block" license: "CC-BY-NC 4.0" content_version: "v2" --- # SMS Spam Block Intelligence Report ## TL;DR {#tldr} - **Category**: Utilities · Free - **Signal**: Rating 4 · Sentiment Excited - **Recent focus**: Users report the app fails to filter messages containing specific keywords despite correct configuration and setup (top complaint) · Keyword-based blocking allows users to filter specific spam content like unwanted email addresses or job advertisements (top praise) > **TL;DR:** SMS Spam Block is a utilities app by Victor Pavlychko, rated 4/5 by 9 users, with Excited user sentiment (65/100), available on iOS. > > **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence. > **Key Insight:** SMS Spam Block maintains Excited user sentiment (4/5 from 9 reviews), with users consistently praising keyword-based blocking allows users to filter specific spam content like unwanted email addresses or job advertisements. ## Quick Facts | Fact | Value | | :--- | :--- | | **Rating** | 4/5 (9 reviews) | | **User Mood** | Excited | | **Category** | Utilities | | **Developer** | Victor Pavlychko | | **Pricing** | Free | | **Platforms** | iOS | | **Confidence** | Low (0.35/1.0) | | **Data Age** | 19d | ## Metadata & Market Performance - **Publisher:** Victor Pavlychko - **Category:** Utilities - **Target Audience:** Users seeking to reduce SMS spam and unwanted notifications on their mobile device. - **Platforms:** iOS - **Version Reviewed:** 1.1 - **Report Date:** 2026-10-27 - **Signal Count:** 8 reviews analyzed - **Confidence:** Low (0.35/1.0) - **App Store ID (iOS):** 1283355601 - **Bundle ID:** wtf.address.MessageFilter - **Data Window:** Analysis based on signals collected up to 2026-10-27 ## Executive Snapshot **What it is:** SMS Spam Block is a free iOS utility that filters incoming SMS messages using local keyword blacklists and sender-based rules. **Why users hire it:** The app removes the cognitive cost of manual spam management by processing filters locally on the device, ensuring user privacy. ## App DNA (Features & Intent) - **[Standard] Keyword Blacklist:** Blocks incoming SMS messages containing specific user-defined words. * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior. - **[Standard] Unknown Sender Filter:** Automatically filters all messages from contacts not present in the address book. * *User Intent:* Users want to quickly find relevant content or features. - **[Differentiator] On-device Processing:** Performs all message filtering locally on the device without cloud data transmission. * *User Intent:* Users expect seamless access across multiple devices. ## Market Position {#market-position} SMS Spam Block maintains a niche position as a free, privacy-first utility on iOS with a 4.0-star rating. The lack of updates since 2017 limits its competitive stance against modern, actively maintained spam-filtering alternatives. ## Monetization Strategy - **Model:** Free - **Tiers:** Completely free with no ads or in-app purchases - **Analysis:** The app operates as a free utility with no monetization mechanisms or revenue-generating gates. ## 🟢 User Sentiment (Low Confidence: 8 of 8 reviews analyzed) {#user-sentiment} - **Overall Rating:** 4/5 - **Platform Split:** iOS 4.0/5 (9 ratings) - **Overall Sentiment:** Excited ### Top Praises - **Keyword-based blocking allows users to filter specific spam content like unwanted email addresses or job advertisements** - **The app provides a straightforward and effective method for managing unwanted SMS messages on iOS devices** ### Top Complaints (Impact Areas) - **Users report the app fails to filter messages containing specific keywords despite correct configuration and setup** ## SWOT Analysis {#swot} **Core Strengths:** - On-device filtering architecture ensures privacy by avoiding cloud data transmission - Granular keyword-based blacklist allows for highly specific spam pattern blocking **Growth Levers:** - Implement a "mark as read" automation to eliminate the current manual notification clearing friction ## What's New - **Latest (v1.1, 9 years ago):** Expanded search filters to include both message text and sender names. ## App Momentum (Zombie) {#momentum} - Maintenance-mode status since October 2017. - Zero feature updates in 9 years. > **Cadence:** 1 total versions · 1 majors in last 6 months · 3304 days since last update ## The "So What?" (Strategic Takeaway) {#so-what} SMS Spam Block is a market-leading utilities app that is completely free. With a 4/5 rating from 9 reviews, it delivers strong user satisfaction. > **Bottom Line:** SMS Spam Block provides effective, private filtering for specific nuisance patterns, but the lack of updates since 2017 leaves the app vulnerable to iOS system changes. Addressing the notification-clearing friction would improve the utility for current users, though the long-term viability remains tied to the developer's update cadence. **Best for:** Users seeking to reduce SMS spam and unwanted notifications on their mobile device. ### PM Action Plan (Next Best Moves) - [ ] [MAINTAIN] Audit current iOS API compatibility because the app has not been updated since 2017 → determine if core filtering logic is still viable ### Outlook: Stable The market for SMS filtering is shifting toward subscription-based, cloud-integrated services that handle dynamic spam patterns. SMS Spam Block remains a static, local-only alternative, which serves a specific privacy-conscious segment but faces increasing obsolescence risk due to the lack of updates since 2017. - 🔴 The 9-year update gap indicates the app is in maintenance mode, which increases the risk of failure as iOS APIs evolve. - ⚪ User sentiment remains stable, as the core keyword-filtering mechanism continues to serve the specific needs of existing users despite the lack of updates. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 4/5 | | Total Reviews | 9 | | Sentiment | Excited (65/100) | | Confidence | Low | | Pricing Model | Free | | Platforms | iOS | | Key Features | 3 analyzed | | Outlook | Stable | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **SMS Spam Block** (this app) | 4/5 | Excited | Victor Pavlychko | | [Sota Connect: Secure Network](https://marlvel.ai/apps/fi-catconnect-sota) | 4.9/5 | N/A | Cat Connect | | [V2Box - V2ray Client](https://marlvel.ai/apps/v2box-v2ray-client) | 4.6/5 | n/a | techlaim | | [App For Siri Commands Tips](https://marlvel.ai/apps/app-for-siri-commands-tips) | N/A/5 | N/A | Anh La Phan Son | | [avoVPN Desktop](https://marlvel.ai/apps/avovpn-desktop) | N/A/5 | N/A | Avocado VPN Technologies | | [Bin Days - Bin Reminder](https://marlvel.ai/apps/bin-days-bin-reminder) | N/A/5 | N/A | Vicki Partridge | ## Company Profile - **Developer:** Victor Pavlychko ## Data Sources & Links - **App Store ID:** 1283355601 - **Sources:** App store metadata, User reviews. ## Related Intel Reports - [*Sota Connect: Secure Network*](https://marlvel.ai/apps/fi-catconnect-sota) (Cat Connect) · 4.9/5 Rating - [*V2Box - V2ray Client*](https://marlvel.ai/apps/v2box-v2ray-client) (techlaim) · 4.6/5 Rating - [*App For Siri Commands Tips*](https://marlvel.ai/apps/app-for-siri-commands-tips) (Anh La Phan Son) · N/A Rating - [*avoVPN Desktop*](https://marlvel.ai/apps/avovpn-desktop) (Avocado VPN Technologies) · N/A Rating - [*Bin Days - Bin Reminder*](https://marlvel.ai/apps/bin-days-bin-reminder) (Vicki Partridge) · N/A Rating - [*Controller Tester FGC*](https://marlvel.ai/apps/controller-tester-fgc) (Aaron Lowe) · 5.0/5 Rating - [*Fusvob VPN : Super VPN 2026*](https://marlvel.ai/apps/com-toplinkc-foxexcellent) (Fuxin Technology) · 4.5/5 Rating - [*Gear Ratio Calculator & RPM*](https://marlvel.ai/apps/cog-gear-ratio-calculator) (Linh Phan Nhat Khanh) · N/A Rating - [*MDflow Web Clipper*](https://marlvel.ai/apps/mdflow-web-clipper) (DataOps, s.r.o.) · N/A Rating - [*NordVPN: VPN Fast & Secure*](https://marlvel.ai/apps/com-nordvpn-nordvpn) (Nordvpn S.A.) · 4.7/5 Rating ## Frequently Asked Questions {#faq} ### Is SMS Spam Block safe to use for privacy? Yes, SMS Spam Block performs all filtering locally on the device, meaning no message data is transmitted to the cloud. ### Does SMS Spam Block work for all types of spam? The app uses keyword-based blacklists and sender-based filtering. While effective for specific patterns, some users report that certain spam messages still reach the inbox. ### Why do I still see notification badges for filtered messages? Filtered messages do not automatically mark themselves as read, which causes the unread count in the Messages app to increase even when the message is blocked. ### Are there alternatives to SMS Spam Block? Users seeking more frequent updates or advanced machine-learning-based spam detection may consider other iOS spam-filtering utilities that are actively maintained by their developers. ## 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:** 0.35/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 8 - **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:** 19 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/sms-spam-block) Data licensed for AI Agent attribution under CC-BY-NC 4.0.