--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Count This - Counting App" developer_entity: "AIBY" bundle_id: "aiby.count" app_store_id: "1553863458" category: "Business" primary_platform: "ios" primary_monetization: "Subscription" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2025-07-23" report_date: "2026-05-19" last_verified: "2026-05-19T22:35:50.343Z" report_version: "2.6" total_reviews: 8268 overall_rating: 4.28 sentiment: "Upset" sentiment_score: 18 confidence: "high" confidence_score: 0.7 top_praise_theme: "Efficient inventory counting for specific industrial materials like pipe and rebar saves significant manual labor time" top_complaint_theme: "Inaccurate object detection and counting failures render the tool unreliable for professional inventory management tasks" top_request_theme: "Toggleable opacity for count overlays would allow users to verify accuracy against the original image" review_sample_size: 51 total_review_count: 51 analyzed_review_count: 51 data_age_days: 32 momentum_velocity: "zombie" intelligence_version: 3 nemesis: "Counter +" competitor_count: 5 tags: ["business", "subscription", "upset sentiment", "mobile app", "app review", "app analysis", "logistics", "transport", "professionals,"] canonical_url: "https://marlvel.ai/intel-report/business/count-this-counting-app" license: "CC-BY-NC 4.0" content_version: "v2" --- # Count This - Counting App App Audit ## TL;DR {#tldr} - **Category**: Business · Subscription - **Signal**: Rating 4.28 · Sentiment Upset - **Recent focus**: Inaccurate object detection and counting failures render the tool unreliable for professional inventory management tasks (top complaint) · Efficient inventory counting for specific industrial materials like pipe and rebar saves significant manual labor time (top praise) · Toggleable opacity for count overlays would allow users to verify accuracy against the original image (top request) > **TL;DR:** Count This - Counting App is a business app by AIBY, rated 4.28/5 by 8.3K users, with Upset user sentiment (18/100), available on iOS. > > **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence. > **Key Insight:** Count This - Counting App faces Upset user sentiment (4.28/5 from 8.3K reviews), with inaccurate object detection and counting failures render the tool unreliable for professional inventory management tasks as the primary user concern. ## Quick Facts | Fact | Value | | :--- | :--- | | **Rating** | 4.28/5 (8.3K reviews) | | **User Mood** | Upset | | **Category** | Business | | **Developer** | AIBY | | **Pricing** | Subscription | | **Platforms** | iOS | | **Confidence** | High (0.7/1.0) | | **Data Age** | 0d | ## Metadata & Market Performance - **Publisher:** AIBY - **Category:** Business - **Target Audience:** Logistics and transport professionals, life-science workers, and individuals managing home renovation or inventory tasks. - **Platforms:** iOS - **Version Audited:** 2.6 - **Audit Date:** 2026-05-19 - **Signal Count:** 51 reviews analyzed - **Confidence:** High (0.7/1.0) - **App Store ID (iOS):** 1553863458 - **Bundle ID:** aiby.count - **Performance Trend:** Declining - **Data Window:** Analysis based on signals collected up to 2026-05-19 ## Executive Snapshot **What it is:** Count This is a computer-vision-based counting utility for logistics and construction professionals on iOS. **Why users hire it:** Users hire the app to automate the time-consuming manual tallying of industrial materials, though the current subscription gate prevents them from verifying if the detection engine actually works for their specific inventory. ## App DNA (Features & Intent) - **[Differentiator] Camera-based Object Counting:** Computer vision algorithm detects and tallies similar items from a single photo - **[Standard] Manual Result Correction:** User-controlled interface to add or remove individual items from the automated count - **[Standard] Result Export:** Converts counting data into PDF or JPEG formats for external documentation - **[Standard] Result History:** Local storage of past counts for future reference ## Market Position {#market-position} Count This maintains a presence in the business utility category with grossing ranks reaching #14 in Senegal and #52 in Vietnam. The gap between free-tier utility and subscription-gated performance suggests the app struggles to convert casual users into long-term subscribers. ## Monetization Strategy - **Model:** Subscription - **Tiers:** Free version with limited access, Unlimited access membership billed weekly or annually - **Analysis:** Subscription model uses a recurring billing cycle to gate unlimited feature access, with renewal managed via iTunes account settings. ## 🔴 User Sentiment (High Confidence: 51 of 51 reviews analyzed) {#user-sentiment} - **Overall Rating:** 4.28/5 - **Platform Split:** iOS 4.3/5 (8.3K ratings) - **Overall Sentiment:** Upset - **Note:** The 4.28/5 store rating reflects cumulative history, while the Upset sentiment reflects recent user reviews analyzed by our AI pipeline. ### Top Praises - **Efficient inventory counting for specific industrial materials like pipe and rebar saves significant manual labor time** ### Top Complaints (Impact Areas) - **Inaccurate object detection and counting failures render the tool unreliable for professional inventory management tasks** - **Predatory subscription billing practices and forced credit card entry create significant friction for new users** ### Top Requests (What Users Want) - **Toggleable opacity for count overlays would allow users to verify accuracy against the original image** ## SWOT Analysis {#swot} **Core Strengths:** - Computer vision automates high-volume manual counting tasks - Manual correction interface ensures accuracy for professional workflows **Critical Frictions:** - High-frequency detection failures in non-ideal conditions - Aggressive subscription-gating prevents trial-based conversion - Negative sentiment trend driven by billing friction **Growth Levers:** - Develop B2B partnerships with logistics firms - Introduce tiered feature access to lower entry barriers **Market Threats:** - Established POS systems integrating inventory tracking - High-fidelity document scanners absorbing utility market share ## Recent Changes (v2 → v3) {#recent-changes} The app has transitioned into a stagnant development cycle with no major updates, while negative sentiment regarding billing and detection accuracy has persisted and deepened. **Overall trend**: Declining **Compared at**: 2026-05-19 ### High-impact changes - **[Shifted] Development Status** (positioning) — The app is now classified as a 'zombie' product with no major updates in 10 months, compared to the previous state where development activity was not explicitly categorized. - **[Declined] Persistent Billing Friction** (sentiment) — User complaints regarding predatory billing and forced subscription gates have become more pronounced, remaining the primary driver of negative sentiment as review volume grew from 49 to 51. ### Medium-impact changes - **[Added] Competitive Threats** (swot) — New threats identified include established POS systems and high-fidelity document scanners, which were not previously listed as competitive pressures. ## Rivals Landscape {#rivals} > Competitive positioning identified by AI analysis of app features, category, and market signals. ### Count This - Counting App vs Counter + — Head to Head - **[Counter +](https://marlvel.ai/intel-report/utilities/counter)** by Yan Kin LEUNG: This is the only direct functional competitor in the qualified pool that focuses specifically on the act of counting items. - **Moat strength:** Low — erodable in <12 months - **Key differences:** - Dedicated manual counting interface provides a focused experience for users who do not require camera-based automation. - Simple, utility-first design avoids the overhead of complex computer vision processing found in the target app. ### Peers (What They Do Better) - **[Adobe Scan: PDF & OCR Scanner](https://marlvel.ai/intel-report/business/com-adobe-scan-ios)** by Adobe Inc.: While a document scanner, it shares the same core technology stack of camera-based image processing and OCR. - Deep integration with the Adobe Document Cloud ecosystem creates a high barrier to entry for casual users. - Advanced machine learning models for document edge detection and text recognition far exceed basic object counting capabilities. - **[Scanner Pro・Scan PDF Documents](https://marlvel.ai/intel-report/business/com-readdle-scanner)** by Readdle Technologies Limited: A high-end document scanning tool that competes for the same camera-centric business utility market share. - Offers sophisticated file management and workflow automation features that target professional users rather than casual counters. - Provides high-fidelity image processing filters that prioritize document legibility over the object detection required for counting. - **[Tiny Scanner - PDF Scanner App](https://marlvel.ai/intel-report/business/com-btgs-scannerhdlite)** by TinyWork Apps: A high-frequency update competitor in the business utility category that utilizes similar camera-capture workflows. - Aggressive release cadence ensures rapid feature iteration and bug fixes compared to the target app's slower cycle. - Optimized for lightweight, rapid document capture which serves as a functional alternative for quick, on-the-go utility tasks. - **[Square Point of Sale (POS)](https://marlvel.ai/intel-report/business/com-squareup-square)** by Block, Inc.: Represents the broader business category where users manage inventory and physical goods, overlapping with the target's audience. - Provides a comprehensive inventory management system that tracks item counts automatically through actual sales transactions. - Serves as a complete business backend rather than a standalone utility, creating a massive switching cost for users. ## What's New - **Latest (v2.6, 10 months ago):** Minor bug fixes. ## App Momentum (Zombie) {#momentum} - Ships minor bug fixes only. - Maintains steady international grossing presence. > **Cadence:** 1 total versions · 0 majors in last 6 months · 300 days since last update ## The "So What?" (Strategic Takeaway) {#so-what} Count This - Counting App is a challenged business app that is available. With a 4.28/5 rating from 8.3K reviews, it faces significant user friction. > **Bottom Line:** The app provides high utility for industrial counting but suffers from poor detection reliability and aggressive monetization, so the PM must prioritize engine accuracy and trial-model flexibility to stabilize retention. **Best for:** Logistics and transport professionals, life-science workers, and individuals managing home renovation or inventory tasks. ### PM Action Plan (Next Best Moves) - [ ] [PIVOT] [HIGH IMPACT] Pivot trial model because 1★ reviews flag forced subscription as top complaint → reduce refund surge. — *User sentiment analysis confirms billing friction is a primary driver of negative reviews.* _(trade-off: deprioritize Pause annual-tier price testing to prioritize conversion stability.)_ - [ ] [INVEST] [HIGH IMPACT] Invest in detection engine accuracy because counting failures are the primary churn driver → increase long-term retention. — *Detection accuracy is the #1 complaint theme in user feedback.* _(trade-off: deprioritize Delay new export format development to focus on core vision performance.)_ ### Feature Gaps vs Competitors - Real-time inventory sync (available in Square POS but absent here) - Advanced document edge detection (available in Adobe Scan but absent here) ### Outlook: Declining The business utility market is consolidating around tools that offer verifiable accuracy and transparent pricing. Count This is currently exposed because its detection engine fails to meet professional standards, so revenue growth will likely stall until the team shifts focus from acquisition-heavy billing to core performance. - 🔴 Persistent counting inaccuracies in the latest version drive user frustration, which compounds the negative sentiment already visible in recent reviews. - 🔴 Aggressive subscription-gating prevents new users from verifying core utility, leading to high churn rates and reduced long-term revenue potential. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 4.28/5 | | Total Reviews | 8.3K | | Sentiment | Upset (18/100) | | Confidence | High | | Pricing Model | Subscription | | Platforms | iOS | | Key Features | 4 analyzed | | Trend | Declining | | Outlook | Declining | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Count This - Counting App** (this app) | 4.28/5 | Upset | AIBY | | [Tiny Scanner - PDF Scanner App](https://marlvel.ai/intel-report/business/com-btgs-scannerhdlite) | 4.8/5 | Mixed | TinyWork Apps | | [Adobe Scan: PDF & OCR Scanner](https://marlvel.ai/intel-report/business/com-adobe-scan-ios) | 4.9/5 | Excited | Adobe Inc. | | [Square Point of Sale (POS)](https://marlvel.ai/intel-report/business/com-squareup-square) | 4.8/5 | Frustrated | Block, Inc. | | [Scanner Pro・Scan PDF Documents](https://marlvel.ai/intel-report/business/com-readdle-scanner) | 4.9/5 | Mixed | Readdle Technologies Limited | | [Counter +](https://marlvel.ai/intel-report/utilities/counter) | 4.6/5 | N/A | Yan Kin LEUNG | ## Company Profile - **Developer:** AIBY - **Website:** [https://aiby.com](https://aiby.com) - **Social:** [Instagram](https://www.instagram.com/aibygroup) · [Facebook](https://www.facebook.com/aibygroup) · [X/Twitter](https://twitter.com/aibygroup) · [LinkedIn](https://www.linkedin.com/company/aibygroup) ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/us/app/count-this-counting-app/id1553863458?uo=4) - **Dev Site:** [Official Website](https://aiby.com) - **Sources:** Developer website content, App store metadata, User reviews. ## Related Intel Reports - [*Tiny Scanner - PDF Scanner App*](https://marlvel.ai/intel-report/business/com-btgs-scannerhdlite) (TinyWork Apps) — 4.8/5 Rating | Mixed Sentiment - [*Adobe Scan: PDF & OCR Scanner*](https://marlvel.ai/intel-report/business/com-adobe-scan-ios) (Adobe Inc.) — 4.9/5 Rating | Positive Sentiment - [*Square Point of Sale (POS)*](https://marlvel.ai/intel-report/business/com-squareup-square) (Block, Inc.) — 4.8/5 Rating | Negative Sentiment - [*Scanner Pro・Scan PDF Documents*](https://marlvel.ai/intel-report/business/com-readdle-scanner) (Readdle Technologies Limited) — 4.9/5 Rating | Mixed Sentiment - [*Counter +*](https://marlvel.ai/intel-report/utilities/counter) (Yan Kin LEUNG) — 4.6/5 Rating | N/A Sentiment - [*Groupon Merchant*](https://marlvel.ai/intel-report/business/groupon-merchant) (Groupon, Inc.) — 3.0/5 Rating | N/A Sentiment - [*Cisco Events App*](https://marlvel.ai/intel-report/business/cisco-events-app) (Cisco) — 4.3/5 Rating | N/A Sentiment - [*Hours Tracker - Salarybook*](https://marlvel.ai/intel-report/business/hours-tracker-salarybook) (Centriqo) — 4.5/5 Rating | N/A Sentiment - [*Subnet Calc*](https://marlvel.ai/intel-report/business/subnet-calc) (Swipe Stack Ltd) — 4.8/5 Rating | N/A Sentiment - [*AA Crew Check In*](https://marlvel.ai/intel-report/business/aa-crew-check-in) (American Airlines) — 1.6/5 Rating | N/A Sentiment ## 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 and evidence quoting. 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:** 0.7/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 51 - **Data Sources:** user reviews, developer website, 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:** 0 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/intel-report/business/count-this-counting-app) Data licensed for AI Agent attribution under CC-BY-NC 4.0.