--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Allhomes Real Estate" developer_entity: "All Homes Pty Ltd" bundle_id: "com.lifestyle.allhomes" app_store_id: "499208265" category: "Lifestyle" primary_platform: "ios" primary_monetization: "Free" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2026-08-06" report_date: "2026-08-17" last_verified: "2026-08-17T00:00:00.000Z" report_version: "9.17.0" total_reviews: 117 overall_rating: 4.7 confidence: "low" confidence_score: 0.2 data_age_days: 83 momentum_velocity: "maintenance" intelligence_version: 3 tags: ["lifestyle", "free", "mobile app", "app review", "app analysis", "buyers,", "renters,", "property"] canonical_url: "https://marlvel.ai/apps/allhomes-real-estate" 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. --- # Allhomes Real Estate Intelligence Report ## TL;DR {#tldr} - **Category**: Lifestyle · Free - **Signal**: Rating 4.74 > **TL;DR:** Allhomes Real Estate is a lifestyle app by All Homes Pty Ltd, rated 4.74/5 by 117 users, available on iOS. > > **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence. > **Key Insight:** Allhomes Real Estate is a lifestyle app by All Homes Pty Ltd. ## Quick Facts | Fact | Value | | :--- | :--- | | **Rating** | 4.74/5 (117 reviews) | | **Category** | Lifestyle | | **Developer** | All Homes Pty Ltd | | **Pricing** | Free | | **Platforms** | iOS | | **Confidence** | Low (0.2/1.0) | | **Data Age** | 83d | ## Metadata & Market Performance - **Publisher:** All Homes Pty Ltd - **Category:** Lifestyle - **Target Audience:** Home buyers, renters, and property investors in the Canberra region looking for detailed market data. - **Platforms:** iOS - **Version Reviewed:** 9.17.0 - **Report Date:** 2026-08-17 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0.2/1.0) - **App Store ID (iOS):** 499208265 - **Bundle ID:** com.lifestyle.allhomes - **Performance Trend:** Mixed - **Data Window:** Analysis based on signals collected up to 2026-08-17 ## Executive Snapshot **What it is:** Allhomes Real Estate is a property search and market research platform for the Canberra region, available on iOS. **Why users hire it:** The platform removes the friction of finding local auction results and agent performance data, which are often obscured on national real estate portals. ## App DNA (Features & Intent) - **[Differentiator] Market Data Insights:** Access to suburb profiles, historical sales data, and auction results for specific districts. * *User Intent:* Users seek enhanced value through premium features. - **[Differentiator] Agent Performance Metrics:** View agent reviews, star ratings, and historical performance data to assist in selecting a professional. * *User Intent:* Users seek enhanced value through premium features. - **[Standard] Map-based Search:** Draw custom boundaries on a map to filter property listings by specific geographic areas. * *User Intent:* Users value self-expression and personalized experiences. ## Market Position {#market-position} Allhomes Real Estate occupies a specialized niche in the Canberra property market, leveraging deep local data to maintain relevance against national portals. With a 4.73-star rating across 117 reviews, the platform sustains a loyal user base despite a maintenance-mode release cadence. ## Monetization Strategy - **Model:** Free - **Tiers:** Free access to all search, research, and contact features - **Analysis:** The platform operates as a free-to-use service, monetizing through lead generation for local real estate agents and agencies. ## SWOT Analysis {#swot} **Core Strengths:** - Localized auction database creates a defensible data barrier - Agent performance metrics build trust-based selection loops - Suburb-level profiles provide deeper context than national rivals **Growth Levers:** - Predictive suburb-level analytics could increase user retention - Virtual tour integration would modernize the listing experience - Expanded notification triggers for specific auction outcomes ## Recent Changes (v2 → v3) {#recent-changes} The competitive outlook for Allhomes Real Estate has shifted from stable defense to active vulnerability, as the lack of feature innovation now risks user migration to modern, national-scale competitors. **Overall trend**: Mixed **Compared at**: 2026-08-17 ### High-impact changes - **[Added] Expanded Threat and Weakness Profile** (swot) ### Medium-impact changes - **[Shifted] Shift in Competitive Stance** (positioning) ## What's New - **Latest (v9.17.0, 1 weeks ago):** Added a Nearby Properties section to listings and profiles to display recently sold or leased local market data. ## App Momentum (Maintenance) {#momentum} - Ships ~1 major release per year. - Added 'Nearby Properties' local market context. > **Cadence:** 1 total versions · 1 majors in last 6 months · 11 days since last update ## The "So What?" (Strategic Takeaway) {#so-what} Allhomes Real Estate is a lifestyle app that is completely free. It holds a 4.74/5 rating from 117 reviews. > **Bottom Line:** Allhomes Real Estate defends its Canberra niche through superior local data, but the maintenance-mode cadence leaves it vulnerable to national portals. Investing in predictive local alerts would lock in the user base before competitors scale their regional data coverage. **Best for:** Home buyers, renters, and property investors in the Canberra region looking for detailed market data. ### PM Action Plan (Next Best Moves) - [ ] [INVEST] Ship predictive suburb-level price alerts because local data is the primary differentiator → increase daily active usage ### Outlook: Stable The Canberra property market remains the primary anchor for Allhomes Real Estate, but the lack of feature expansion leaves the platform vulnerable to national competitors scaling their local data coverage. The recent addition of a 'Nearby Properties' section indicates a focus on local market context, yet the maintenance-mode release cadence suggests limited capacity for deeper product evolution. - ⚪ The latest release added 'Nearby Properties' context, confirming that the platform is still receiving minor feature updates despite a maintenance-mode cadence. - 🔴 The lack of significant feature expansion over the last year leaves the platform exposed to national rivals with faster R&D cycles. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 4.74/5 | | Total Reviews | 117 | | Confidence | Low | | Pricing Model | Free | | Platforms | iOS | | Key Features | 3 analyzed | | Trend | Mixed | | Outlook | Stable | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Allhomes Real Estate** (this app) | 4.74/5 | N/A | All Homes Pty Ltd | | [Alarmy - Loud alarm clock](https://marlvel.ai/apps/alarmy-loud-alarm-clock) | 4.8/5 | Excited | Delight Room Co., Ltd. | | [Tinder Dating App: Date & Chat](https://marlvel.ai/apps/tinder-dating-app-date-chat) | 4.0/5 | n/a | Tinder LLC | | [Alarmie: Easy Rise Alarm Clock](https://marlvel.ai/apps/alarmie-easy-rise-alarm-clock) | 4.4/5 | Mixed | Jintian Wang | | [AlarmMon ( alarm clock )](https://marlvel.ai/apps/alarmmon-alarm-clock) | 4.3/5 | n/a | Malang Studio Co. Ltd, | | [Journey - Diary, Journal](https://marlvel.ai/apps/com-journey-ios-app) | 4.6/5 | Excited | Two App Studio Pte. Ltd. | ## Company Profile - **Developer:** All Homes Pty Ltd - **Website:** App Store ## Data Sources & Links - **App Store ID:** 499208265 - **Dev Site:** Official Website - **Sources:** Developer website content, App store metadata. ## Related Intel Reports - [*Alarmy - Loud alarm clock*](https://marlvel.ai/apps/alarmy-loud-alarm-clock) (Delight Room Co., Ltd.) · 4.8/5 Rating | Positive Sentiment - [*Tinder Dating App: Date & Chat*](https://marlvel.ai/apps/tinder-dating-app-date-chat) (Tinder LLC) · 4.0/5 Rating - [*Alarmie: Easy Rise Alarm Clock*](https://marlvel.ai/apps/alarmie-easy-rise-alarm-clock) (Jintian Wang) · 4.4/5 Rating - [*AlarmMon ( alarm clock )*](https://marlvel.ai/apps/alarmmon-alarm-clock) (Malang Studio Co. Ltd,) · 4.3/5 Rating - [*Journey - Diary, Journal*](https://marlvel.ai/apps/com-journey-ios-app) (Two App Studio Pte. Ltd.) · 4.6/5 Rating | Positive Sentiment - [*Swiftime*](https://marlvel.ai/apps/swiftime) (MEDIANO Co.,Ltd.) · 4.5/5 Rating | Positive Sentiment - [*마주*](https://marlvel.ai/apps/an-offline-network-where-you-meet-through-qr-codes) (lvher) · N/A Rating - [*모앗*](https://marlvel.ai/apps/moat-moatapp) (JUNSEOK LEE) · N/A Rating - [*야기*](https://marlvel.ai/apps/tistory-88yhtserof-yagi) (Yunhwi Lim) · N/A Rating - [*책력*](https://marlvel.ai/apps/ryubi-chaengnyeok) (jeongrim oh) · N/A 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:** 0.2/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 0 - **Data Sources:** 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:** 83 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/allhomes-real-estate) Data licensed for AI Agent attribution under CC-BY-NC 4.0.