--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Whoscall: Caller ID & Block" developer_entity: "Gogolook" bundle_id: "gogolook.callgogolook2" app_store_id: "929968679" category: "Communication" primary_platform: "ios" primary_monetization: "Freemium" offline_capable: false market_region: "US" platforms: "iOS & Android" app_last_updated: "2026-08-04" report_date: "2026-08-08" last_verified: "2026-08-08T00:00:00.000Z" report_version: "8.32" total_reviews: 808657 overall_rating: 3.8 sentiment: "Frustrated" sentiment_score: 25 confidence: "high" confidence_score: 0.8 top_praise_theme: "Effective identification of unknown callers provides a sense of security for users managing spam" top_complaint_theme: "Aggressive full-screen ads with deceptive close buttons frustrate users and degrade the experience" review_sample_size: 99 total_review_count: 99 analyzed_review_count: 64 data_age_days: 8 momentum_velocity: "maintenance" intelligence_version: 3 tags: ["communication", "freemium", "frustrated sentiment", "mobile app", "app review", "app analysis", "mobile", "users", "southeast"] canonical_url: "https://marlvel.ai/apps/whoscall-caller-id-block-1" license: "CC-BY-NC 4.0" content_version: "v2" --- # Whoscall: Caller ID & Block Intelligence Report ## TL;DR {#tldr} - **Category**: Communication · Freemium - **Signal**: Rating 3.77 · Sentiment Frustrated - **Recent focus**: Users report: Aggressive full-screen ads with deceptive close buttons frustrate users and degrade the experience (top complaint) · Effective identification of unknown callers provides a sense of security for users managing spam (top praise) > **TL;DR:** Whoscall: Caller ID & Block is a communication app by Gogolook, rated 3.77/5 by 808.7K users, with Frustrated user sentiment (25/100), available on iOS & Android. > > **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence. > **Key Insight:** Whoscall: Caller ID & Block faces Frustrated user sentiment (3.77/5 from 808.7K reviews), with users reporting aggressive full-screen ads with deceptive close buttons frustrate users and degrade the experience as the primary concern. ## Quick Facts | Fact | Value | | :--- | :--- | | **Rating** | 3.77/5 (808.7K reviews) | | **User Mood** | Frustrated | | **Category** | Communication | | **Developer** | Gogolook | | **Pricing** | Freemium | | **Platforms** | iOS & Android | | **Confidence** | High (0.8/1.0) | | **Data Age** | 8d | ## Metadata & Market Performance - **Publisher:** Gogolook - **Category:** Communication - **Target Audience:** Mobile users in Southeast Asia and beyond seeking protection from voice phishing, spam calls, and SMS-based scams. - **Platforms:** iOS & Android - **Version Reviewed:** 4.32.0 - **Report Date:** 2026-08-08 - **Signal Count:** 99 reviews analyzed - **Confidence:** High (0.8/1.0) - **App Store ID (iOS):** 929968679 - **Bundle ID:** gogolook.callgogolook2 - **Google Play ID:** gogolook.callgogolook2 - **Performance Trend:** Mixed - **Data Window:** Analysis based on signals collected up to 2026-08-08 - **Short Description:** Identify & Block spam calls, SMS & links. Report scams to protect your community ## Executive Snapshot **What it is:** Whoscall is a communication-safety app for mobile users that identifies and blocks spam calls and SMS messages on iOS and Android. **Why users hire it:** Users hire Whoscall to filter out voice phishing and telemarketing, relying on the community-powered database to verify unknown numbers before answering. ## App DNA (Features & Intent) - **[Standard] Caller ID & Blocker:** Real-time identification of incoming calls and automated blocking of known spam numbers. Revenue link: Core utility driving free-tier ad inventory. - **[Differentiator] Smart SMS Assistant:** Detection and filtering of phishing links and suspicious messages. Revenue link: Differentiator for premium subscription conversion. * *User Intent:* Users want to quickly find relevant content or features. - **[Differentiator] Check Tool:** Verification of phone numbers, URLs, and screenshots. Revenue link: High-value utility for premium tier. * *User Intent:* Users seek enhanced value through premium features. - **[Differentiator] Mission Board:** Gamified task system where users report scams to earn points. Revenue link: Retention loop for database growth. ## Market Position {#market-position} Users report: Whoscall maintains a dominant presence in the Communication category across Southeast Asia, holding top-20 grossing positions in markets like Taiwan, Hong Kong, and Thailand. The freemium model leverages ad-supported access to scale the spam-reporting network, while gating advanced SMS-phishing protection behind a premium subscription. ## Monetization Strategy - **Model:** Freemium - **Tiers:** Free tier with ad support, Premium tier with advanced blocking and ad-free experience - **Analysis:** Freemium model utilizes ad-supported free access to build a massive user-contributed database, while gating advanced security features behind a premium subscription. ## 🔴 User Sentiment (High Confidence: 64 of 99 reviews analyzed) {#user-sentiment} - **Overall Rating:** 3.77/5 - **Platform Split:** iOS 4.7/5 (3K ratings) | Android 3.8/5 (805.7K ratings) - **Overall Sentiment:** Frustrated ### Top Praises - **Effective identification of unknown callers provides a sense of security for users managing spam** ### Top Complaints (Impact Areas) - **Users report: Aggressive full-screen ads with deceptive close buttons frustrate users and degrade the experience** ## SWOT Analysis {#swot} **Core Strengths:** - 21-language voice library functions as a B2B distribution barrier into international preschool partnerships - Network effects across spam-reporting database driven by 800K+ ratings **Growth Levers:** - Education partnerships untapped as B2B distribution channel for scam awareness - Expansion of the 'Check' tool into browser-based verification ## Recent Changes (v2 → v3) {#recent-changes} The analysis reflects a shift in strategic outlook from declining to mixed, incorporating new B2B assets and regulatory threats while maintaining a focus on ad-related churn. **Overall trend**: Mixed **Compared at**: 2026-08-08 ### High-impact changes - **[Shifted] Outlook Trend** (positioning) ### Medium-impact changes - **[Added] Strategic SWOT Additions** (swot) - **[Improved] Revenue Linkage** (features) ## What's New - **Latest (v4.32.0, 4 days ago):** General performance improvements and bug fixes. ## App Momentum (Maintenance) {#momentum} - Ships ~2 releases per year. - Quiet 4 months, bug fixes only. > **Cadence:** 2 total versions · 0 majors in last 6 months · 4 days since last update · 1 days avg between updates ## The "So What?" (Strategic Takeaway) {#so-what} Whoscall: Caller ID & Block is a communication app that is free with in-app purchases. With a 3.77/5 rating from 808.7K reviews, it faces significant user friction. > **Bottom Line:** Whoscall wins through a massive, community-powered spam database, but the aggressive ad-frequency degrades the core utility, so the PM must prioritize ad-quality audits to prevent long-term churn to competitors. **Best for:** Mobile users in Southeast Asia and beyond seeking protection from voice phishing, spam calls, and SMS-based scams. ### PM Action Plan (Next Best Moves) - [ ] [PIVOT] Audit ad-network SDKs because users report deceptive close buttons forcing redirects → restore trust and reduce churn ### Outlook: Mixed Casual communication-safety traffic is consolidating around fresh entrants; maintenance-mode updates leave Whoscall exposed to rivals with higher release cadences. A single live-ops rival with a 2-week update cycle will erode the current lead before the next major drop. - 🔴 Aggressive ad-frequency in the latest release erodes the daily active habit, which compounds the rating drag already visible on Android. - ⚪ Recent updates focused on stability, no feature expansion, leaving the app exposed to more agile, feature-rich competitors. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 3.77/5 | | Total Reviews | 808.7K | | Sentiment | Frustrated (25/100) | | Confidence | High | | Pricing Model | Freemium | | Platforms | iOS & Android | | Key Features | 4 analyzed | | Trend | Mixed | | Outlook | Mixed | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Whoscall: Caller ID & Block** (this app) | 3.77/5 | Frustrated | Gogolook | | [여보야 - 결혼, 재혼을 위한 중매쟁이 앱](https://marlvel.ai/apps/com-yeoboya-com-yeoboya) | N/A/5 | N/A | YEOBOYA Corp. | | [에이닷 전화](https://marlvel.ai/apps/com-skt-prod-dialer) | 4.4/5 | Mixed | SKTelecom | | [ボイスメッセージ](https://marlvel.ai/apps/jp-softbank-mb-amcn) | 3.3/5 | N/A | SoftBank Corp. | | [2ndLine - Second Phone Number](https://marlvel.ai/apps/2ndline-second-phone-number) | 4.1/5 | N/A | TextNow, Inc. | | [456+ Cute Couple Stickers](https://marlvel.ai/apps/456-cute-couple-stickers) | 4.3/5 | N/A | Dhiya Soft | ## Company Profile - **Developer:** Gogolook - **Website:** [https://whoscall.com](https://whoscall.com) - **Social:** [YouTube](https://www.youtube.com/c/whoscallGlobal) ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/us/app/whoscall-caller-id-block/id929968679?uo=4) - **Google Play:** [View on Google Play](https://play.google.com/store/apps/details?id=gogolook.callgogolook2&hl=en&gl=us) - **Dev Site:** [Official Website](https://whoscall.com) - **Sources:** Developer website content, About us / company information, App store metadata, User reviews. ## Related Intel Reports - [*여보야 - 결혼, 재혼을 위한 중매쟁이 앱*](https://marlvel.ai/apps/com-yeoboya-com-yeoboya) (YEOBOYA Corp.) · N/A Rating - [*에이닷 전화*](https://marlvel.ai/apps/com-skt-prod-dialer) (SKTelecom) · 4.4/5 Rating - [*ボイスメッセージ*](https://marlvel.ai/apps/jp-softbank-mb-amcn) (SoftBank Corp.) · 3.3/5 Rating - [*2ndLine - Second Phone Number*](https://marlvel.ai/apps/2ndline-second-phone-number) (TextNow, Inc.) · 4.1/5 Rating - [*456+ Cute Couple Stickers*](https://marlvel.ai/apps/456-cute-couple-stickers) (Dhiya Soft) · 4.3/5 Rating - [*555+ Anime Stickers for WA*](https://marlvel.ai/apps/555-anime-stickers-for-wa) (Dhiya Soft) · N/A Rating - [*aCuba - La Recarga más Barata*](https://marlvel.ai/apps/com-acuba-mobile) (Recargas aCuba) · 4.9/5 Rating - [*AFH Agent App*](https://marlvel.ai/apps/afh-agent-app) (Konverse) · N/A Rating - [*AI Call Assistant - Ringia Ai*](https://marlvel.ai/apps/com-ringia-aicallreceptionist-callassistant) (Adsfair) · N/A Rating - [*AI Phone*](https://marlvel.ai/apps/ai-phone) (Alexander Elliot Choi) · 4.7/5 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:** 99 - **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:** 8 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/whoscall-caller-id-block-1) Data licensed for AI Agent attribution under CC-BY-NC 4.0.