--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "How to Buy A House" developer_entity: "How To Buy A House, LLC" bundle_id: "com.howtobuyaho" app_store_id: "6446580556" category: "Education" primary_platform: "ios" primary_monetization: "Free" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2025-06-21" report_date: "2026-09-01" last_verified: "2026-09-01T00:00:00.000Z" report_version: "1.7" total_reviews: 16 overall_rating: 5 confidence: "low" confidence_score: 0.05 data_age_days: 74 momentum_velocity: "zombie" intelligence_version: 3 tags: ["education", "free", "mobile app", "app review", "app analysis", "first-time", "homebuyers", "seeking"] canonical_url: "https://marlvel.ai/apps/how-to-buy-a-house" license: "CC-BY-NC 4.0" content_version: "v2" --- ## ⚠ Content Warning This report covers topics classified as sensitive (finance). Information is aggregated from public sources for informational purposes only. This is not financial or investment advice. Always do your own research. --- # How to Buy A House Intelligence Report ## TL;DR {#tldr} - **Category**: Education · Free - **Signal**: Rating 5 > **TL;DR:** How to Buy A House is a education app by How To Buy A House, LLC, rated 5/5 by 16 users, available on iOS. > > **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence. > **Key Insight:** How to Buy A House is a education app by How To Buy A House, LLC. ## Quick Facts | Fact | Value | | :--- | :--- | | **Rating** | 5/5 (16 reviews) | | **Category** | Education | | **Developer** | How To Buy A House, LLC | | **Pricing** | Free | | **Platforms** | iOS | | **Confidence** | Low (0.05/1.0) | | **Data Age** | 74d | ## Metadata & Market Performance - **Publisher:** How To Buy A House, LLC - **Category:** Education - **Target Audience:** First-time homebuyers seeking educational resources and professional guidance during the property acquisition process. - **Platforms:** iOS - **Version Reviewed:** 1.7 - **Report Date:** 2026-09-01 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0.05/1.0) - **App Store ID (iOS):** 6446580556 - **Bundle ID:** com.howtobuyaho - **Performance Trend:** Stable - **Data Window:** Analysis based on signals collected up to 2026-09-01 ## Executive Snapshot **What it is:** How to Buy A House is an educational utility for first-time homebuyers, offering a six-phase guide and mortgage calculators on iOS. **Why users hire it:** The app removes the cognitive friction of the home-buying process by organizing complex legal and financial steps into a linear, accessible format. ## App DNA (Features & Intent) - **[Standard] Home Buying Resource Library:** Articles and podcasts covering the six phases of the home purchase process. * *User Intent:* Users seek enhanced value through premium features. - **[Standard] Mortgage Calculators:** Financial tools for estimating home loan costs and affordability. - **[Differentiator] In-person Class Locator:** Map-based interface to find local home buying seminars and classes. - **[Differentiator] Ask a Realtor Chat:** Direct messaging access to industry professionals for advice. * *User Intent:* Users seek enhanced value through premium features. ## Market Position {#market-position} How to Buy A House maintains a 5-star rating across 16 reviews, though the lack of updates for over 430 days limits its competitive relevance in the Education category. ## Monetization Strategy - **Model:** Free - **Tiers:** Free access to all resources and tools - **Analysis:** The app operates as a free utility, likely serving as a lead acquisition funnel for real estate professionals. ## SWOT Analysis {#swot} **Core Strengths:** - In-person class locator provides a local-discovery mechanism that standard digital-only guides lack **Growth Levers:** - Integrating real-time market data would differentiate the tool from static article libraries ## Recent Changes (v2 → v3) {#recent-changes} The report now quantifies the app's performance with a 5-star rating across 16 reviews, while sharpening the strategic outlook to define the product as a legacy lead-generation tool. **Overall trend**: Stable **Compared at**: 2026-09-01 ### High-impact changes - **[Added] Sentiment Quantification** (sentiment) - **[Shifted] Strategic Asset Classification** (positioning) ### Medium-impact changes - **[Added] Vanity Metric Identification** (swot) ## What's New - **Latest (v1.7, 1 years ago):** Version 1.7 focuses on bug fixes and aesthetic UI refinements. ## App Momentum (Zombie) {#momentum} - Dormant for 14 months. - No major updates since June 2025. > **Cadence:** 1 total versions · 0 majors in last 6 months · 436 days since last update ## The "So What?" (Strategic Takeaway) {#so-what} How to Buy A House is an education app that is completely free. It holds a 5/5 rating from 16 reviews. > **Bottom Line:** The 14-month development silence confirms that How to Buy A House is a legacy lead-generation asset, and sunsetting the app would allow the developer to focus resources on platforms that support real-time financial data integration. **Best for:** First-time homebuyers seeking educational resources and professional guidance during the property acquisition process. ### PM Action Plan (Next Best Moves) - [ ] [SUNSET] Sunset the app because the 14-month update gap indicates it is no longer a strategic priority → reallocate resources to active channels ### Outlook: Declining The home-buying education market is shifting toward real-time, data-integrated tools that provide live mortgage rate tracking. How to Buy A House remains static, meaning its utility will continue to decline as users migrate to platforms that offer current financial insights. - 🔴 The 436-day update gap indicates a lack of active maintenance, which will inevitably lead to user churn as financial data becomes stale. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 5/5 | | Total Reviews | 16 | | Confidence | Low | | Pricing Model | Free | | Platforms | iOS | | Key Features | 4 analyzed | | Trend | Stable | | Outlook | Declining | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **How to Buy A House** (this app) | 5/5 | N/A | How To Buy A House, LLC | | [AlgoApp - Flashcards](https://marlvel.ai/apps/algoapp-flashcards) | 4.5/5 | n/a | AlgoApp Inc | | [Elevate - Brain Training Games](https://marlvel.ai/apps/elevate-brain-training-games) | 4.7/5 | n/a | The Mind Company | | [Flashcards Deluxe](https://marlvel.ai/apps/flashcards-deluxe) | 4.5/5 | N/A | OrangeOrApple.com | | [Flash Cards Flashcards Maker](https://marlvel.ai/apps/flash-cards-flashcards-maker) | 4.0/5 | Mixed | Infinite Wave Media, LLC | | [Flashcards maker - AI generate](https://marlvel.ai/apps/flashcards-maker-ai-generate) | 4.1/5 | Mixed | Teleprompter LLC | ## Company Profile - **Developer:** How To Buy A House, LLC ## Data Sources & Links - **App Store ID:** 6446580556 - **Sources:** App store metadata. ## Related Intel Reports - [*AlgoApp - Flashcards*](https://marlvel.ai/apps/algoapp-flashcards) (AlgoApp Inc) · 4.5/5 Rating - [*Elevate - Brain Training Games*](https://marlvel.ai/apps/elevate-brain-training-games) (The Mind Company) · 4.7/5 Rating - [*Flashcards Deluxe*](https://marlvel.ai/apps/flashcards-deluxe) (OrangeOrApple.com) · 4.5/5 Rating - [*Flash Cards Flashcards Maker*](https://marlvel.ai/apps/flash-cards-flashcards-maker) (Infinite Wave Media, LLC) · 4.0/5 Rating - [*Flashcards maker - AI generate*](https://marlvel.ai/apps/flashcards-maker-ai-generate) (Teleprompter LLC) · 4.1/5 Rating - [*Impulse - Brain Training*](https://marlvel.ai/apps/impulse-brain-training) (GMRD Apps Limited) · 4.6/5 Rating - [*Peak - Brain Training*](https://marlvel.ai/apps/peak-brain-training) (Synaptic Labs) · 4.7/5 Rating - [*자주 틀리는 우리말*](https://marlvel.ai/apps/app--424) (DaolSoft, Co., Ltd.) · N/A Rating - [*달공부 - 한 달 공부 다이어리 + 루틴/공부 타이머*](https://marlvel.ai/apps/azlabs-dalstudy) (SuWon Choi) · N/A Rating - [*타요콘 - 타요 아바타 놀이동화*](https://marlvel.ai/apps/com-kigle-project-tayocon) (KIGLE) · 3.1/5 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:** 0.05/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 0 - **Data Sources:** 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:** 74 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/how-to-buy-a-house) Data licensed for AI Agent attribution under CC-BY-NC 4.0.