--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Fake Call." developer_entity: "Izaz Hassan" bundle_id: "com.ahmad.fakecall" app_store_id: "1082659166" category: "Entertainment" primary_platform: "ios" primary_monetization: "Free" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2016-04-18" report_date: "2026-11-01" last_verified: "2026-11-01T00:00:00.000Z" report_version: "1.1" total_reviews: 13 overall_rating: 4.3 sentiment: "Excited" sentiment_score: 70 confidence: "low" confidence_score: 0.25 top_praise_theme: "The core photo editing experience provides a satisfying and functional toolset for casual mobile users" top_complaint_theme: "The application becomes unresponsive and the screen turns dark when users attempt to edit person photos" review_sample_size: 2 total_review_count: 2 analyzed_review_count: 2 data_age_days: 13 momentum_velocity: "zombie" intelligence_version: 2 tags: ["entertainment", "free", "excited sentiment", "mobile app", "app review", "app analysis", "users", "seeking", "social"] canonical_url: "https://marlvel.ai/apps/fake-call-2" license: "CC-BY-NC 4.0" content_version: "v2" --- # Fake Call. Intelligence Report ## TL;DR {#tldr} - **Category**: Entertainment · Free - **Signal**: Rating 4.31 · Sentiment Excited - **Recent focus**: The application becomes unresponsive and the screen turns dark when users attempt to edit person photos (top complaint) · The core photo editing experience provides a satisfying and functional toolset for casual mobile users (top praise) > **TL;DR:** Fake Call. is a entertainment app by Izaz Hassan, rated 4.31/5 by 13 users, with Excited user sentiment (70/100), available on iOS. > > **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence. > **Key Insight:** Fake Call. maintains Excited user sentiment (4.31/5 from 13 reviews), with users consistently praising the core photo editing experience provides a satisfying and functional toolset for casual mobile users. ## Quick Facts | Fact | Value | | :--- | :--- | | **Rating** | 4.31/5 (13 reviews) | | **User Mood** | Excited | | **Category** | Entertainment | | **Developer** | Izaz Hassan | | **Pricing** | Free | | **Platforms** | iOS | | **Confidence** | Low (0.25/1.0) | | **Data Age** | 13d | ## Metadata & Market Performance - **Publisher:** Izaz Hassan - **Category:** Entertainment - **Target Audience:** Users seeking a social tool to exit uncomfortable conversations or meetings through simulated phone calls. - **Platforms:** iOS - **Version Reviewed:** 1.1 - **Report Date:** 2026-11-01 - **Signal Count:** 2 reviews analyzed - **Confidence:** Low (0.25/1.0) - **App Store ID (iOS):** 1082659166 - **Bundle ID:** com.ahmad.fakecall - **Data Window:** Analysis based on signals collected up to 2026-11-01 ## Executive Snapshot **What it is:** Fake Call. is a utility app for iOS that simulates incoming phone calls to help users exit unwanted social situations. **Why users hire it:** The app removes the social friction of leaving boring meetings or unpleasant conversations by providing a believable, user-scheduled excuse. ## App DNA (Features & Intent) - **[Standard] Simulated Call Scheduling:** Triggers a fake incoming call interface after a user-defined time delay - **[Differentiator] Missed Call Simulation:** Allows the phone to ring until a missed call notification appears to provide social proof of an urgent request * *User Intent:* Users seek social connection and competitive engagement with peers. ## Market Position {#market-position} Users report: Fake Call. maintains a 4.3-star rating across 13 total ratings, though it has not received a major update since 2016. The lack of development activity positions it as a legacy utility rather than an active competitor. ## Monetization Strategy - **Model:** Free - **Tiers:** Free - **Analysis:** The app operates as a free utility with no visible in-app purchases or subscription tiers. ## 🟢 User Sentiment (Low Confidence: 2 of 2 reviews analyzed) {#user-sentiment} - **Overall Rating:** 4.31/5 - **Platform Split:** iOS 4.3/5 (13 ratings) - **Overall Sentiment:** Excited ### Top Praises - **The core photo editing experience provides a satisfying and functional toolset for casual mobile users** ### Top Complaints (Impact Areas) - **The application becomes unresponsive and the screen turns dark when users attempt to edit person photos** ## SWOT Analysis {#swot} **Core Strengths:** - Single-purpose utility design reduces cognitive load **Growth Levers:** - Modernizing the photo-processing engine to resolve crashes ## What's New - **Latest (v1.1, 10 years ago):** Implemented general design improvements. ## App Momentum (Zombie) {#momentum} - No major updates since 2016 - Maintenance-only release velocity > **Cadence:** 1 total versions · 0 majors in last 6 months · 3848 days since last update ## The "So What?" (Strategic Takeaway) {#so-what} Fake Call. is an entertainment app that is completely free. It holds a 4.31/5 rating from 13 reviews. > **Bottom Line:** Users report: Fake Call. functions as a legacy utility that requires immediate stability work to remain viable. Addressing the photo-editing UI regression would stabilize the user experience, preventing the churn currently driven by technical failures. **Best for:** Users seeking a social tool to exit uncomfortable conversations or meetings through simulated phone calls. ### PM Action Plan (Next Best Moves) - [ ] [INVEST] Audit the photo-editing module because the interface fails and goes dark during use → restore basic functionality ### Outlook: Declining Users report: The utility market is consolidating around apps with active maintenance cycles that ensure compatibility with the latest OS versions. Fake Call. remains in a maintenance-only state, which will likely lead to further user attrition as technical debt accumulates. - 🔴 The decade-long lack of updates leaves the app vulnerable to OS-level regressions, which will eventually break the core call simulation functionality. - 🔴 Persistent UI failures during photo editing erode user trust, which compounds the risk of abandonment in a category where utility is the only value. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 4.31/5 | | Total Reviews | 13 | | Sentiment | Excited (70/100) | | Confidence | Low | | Pricing Model | Free | | Platforms | iOS | | Key Features | 2 analyzed | | Outlook | Declining | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Fake Call.** (this app) | 4.31/5 | Excited | Izaz Hassan | | [JustPlay: Earn Money or Donate](https://marlvel.ai/apps/justplay-earn-money-or-donate) | 4.4/5 | n/a | JustPlay GmbH | | [TikTok Pro - Events](https://marlvel.ai/apps/com-ss-iphone-ugc-tiktok-pro) | 4.6/5 | N/A | TikTok Ltd. | | [TikTok - Videos, Shop & LIVE](https://marlvel.ai/apps/tiktok-videos-shop-live) | 4.3/5 | n/a | TikTok Ltd. | | [YouTube TV](https://marlvel.ai/apps/com-google-ios-youtubeunplugged) | 3.7/5 | n/a | Google | | [BestPlay: Play Games & Earn](https://marlvel.ai/apps/bestplay-play-to-earn-donate) | 4.6/5 | n/a | Bestplay | ## Company Profile - **Developer:** Izaz Hassan ## Data Sources & Links - **App Store ID:** 1082659166 - **Sources:** App store metadata, User reviews. ## Related Intel Reports - [*JustPlay: Earn Money or Donate*](https://marlvel.ai/apps/justplay-earn-money-or-donate) (JustPlay GmbH) · 4.4/5 Rating - [*TikTok Pro - Events*](https://marlvel.ai/apps/com-ss-iphone-ugc-tiktok-pro) (TikTok Ltd.) · 4.6/5 Rating - [*TikTok - Videos, Shop & LIVE*](https://marlvel.ai/apps/tiktok-videos-shop-live) (TikTok Ltd.) · 4.3/5 Rating - [*YouTube TV*](https://marlvel.ai/apps/com-google-ios-youtubeunplugged) (Google) · 3.7/5 Rating - [*BestPlay: Play Games & Earn*](https://marlvel.ai/apps/bestplay-play-to-earn-donate) (Bestplay) · 4.6/5 Rating - [*BIBLIOTECA LDM*](https://marlvel.ai/apps/biblioteca-ldm) (Esteban Gonzalez) · 4.7/5 Rating - [*CIPHER Zombies*](https://marlvel.ai/apps/cipher-zombies) (Jeffrey Bemelmans) · N/A Rating - [*DramaBox - Stream Drama Shorts*](https://marlvel.ai/apps/dramabox-stream-drama-shorts-1) (STORYMATRIX) · 4.7/5 Rating - [*DramaWave - Dramas & Reels*](https://marlvel.ai/apps/dramawave-dramas-reels) (SKYWORK AI PTE LTD) · 4.7/5 Rating - [*MingloTalk: AI Character Chat*](https://marlvel.ai/apps/minglotalk-ai-character-chat) (Brad Schulte) · 4.8/5 Rating | Positive Sentiment ## Frequently Asked Questions {#faq} ### Is Fake Call. safe to use for pranks? Yes, the app is marketed as an entertainment utility for pranks and social avoidance, and it does not make real phone calls. ### Does Fake Call. work on the latest iOS version? The app has not been updated since 2016, so compatibility with current iOS versions is not guaranteed and users report interface failures. ### Are there free alternatives to Fake Call.? Yes, there are many free prank-call and social-avoidance utilities available on the App Store that receive more frequent updates. ## 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:** 0.25/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 2 - **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:** 13 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/fake-call-2) Data licensed for AI Agent attribution under CC-BY-NC 4.0.