--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "DJOL" developer_entity: "Arnold Hattingh" bundle_id: "co.za.arnoldhattingh.djol" app_store_id: "1632440217" category: "Food & Drink" primary_platform: "ios" primary_monetization: "Free" offline_capable: false market_region: "US" platforms: "iOS & Android" app_last_updated: "2026-03-22" report_date: "2026-05-19" last_verified: "2026-05-19T00:00:00.000Z" report_version: "4.2.4" total_reviews: 1 overall_rating: 5 confidence: "low" confidence_score: 0.05 data_age_days: 78 momentum_velocity: "active" intelligence_version: 2 tags: ["food & drink", "free", "mobile app", "app review", "app analysis", "social", "diners", "budget-conscious"] canonical_url: "https://marlvel.ai/apps/co-za-arnoldhattingh-djol" license: "CC-BY-NC 4.0" content_version: "v2" --- # DJOL App Audit ## TL;DR {#tldr} - **Category**: Food & Drink · Free - **Signal**: Rating 5 > **TL;DR:** DJOL is a food & drink app by Arnold Hattingh, rated 5/5 by 1 users, available on iOS & Android. > > **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence. > **Key Insight:** DJOL is a food & drink app by Arnold Hattingh. ## Quick Facts | Fact | Value | | :--- | :--- | | **Rating** | 5/5 (1 review) | | **Category** | Food & Drink | | **Developer** | Arnold Hattingh | | **Pricing** | Free | | **Platforms** | iOS & Android | | **Confidence** | Low (0.05/1.0) | | **Data Age** | 78d | ## Metadata & Market Performance - **Publisher:** Arnold Hattingh - **Category:** Food & Drink - **Target Audience:** Social diners and budget-conscious consumers looking for restaurant and bar promotions in South Africa. - **Platforms:** iOS & Android - **Version Audited:** 4.2.4 - **Audit Date:** 2026-05-19 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0.05/1.0) - **App Store ID (iOS):** 1632440217 - **Bundle ID:** co.za.arnoldhattingh.djol - **Google Play ID:** co.za.arnoldhattingh.djol - **Data Window:** Analysis based on signals collected up to 2026-05-19 - **Short Description:** Find all the Specials near you - any day of the week. ## Executive Snapshot DJOL is a location-based discovery platform that aggregates food and drink specials for users in South Africa. The app allows users to browse restaurant deals by day of the week to plan their outings. It currently operates in five locations with plans for geographic expansion. ## App DNA (Features & Intent) - **[Standard] Specials Discovery:** Aggregates food and drink promotions available at nearby restaurants. * *User Intent:* Users want to quickly find relevant content or features. - **[Standard] Daily Scheduling:** Enables users to view available specials for any day of the week. * *User Intent:* Users are motivated by consistent progression and daily incentives. - **[Standard] Location-Based Search:** Provides localized deal information across five active South African regions. * *User Intent:* Users want to quickly find relevant content or features. ## Monetization Strategy - **Model:** Free ## App Momentum (Active) {#momentum} Last updated 57d ago. 5 versions tracked. > **Cadence:** 5 total versions · 0 majors in last 6 months · 57 days since last update ## The "So What?" (Strategic Takeaway) {#so-what} DJOL is an established food & drink app that is completely free. With a 5/5 rating from 1 review, it shows polarized user reception. > **Bottom Line:** DJOL serves as a regional aggregator for restaurant and bar specials, focused on helping users find deals before they dine out. **Best for:** Social diners and budget-conscious consumers looking for restaurant and bar promotions in South Africa. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 5/5 | | Total Reviews | 1 | | Confidence | Low | | Pricing Model | Free | | Platforms | iOS & Android | | Key Features | 3 analyzed | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **DJOL** (this app) | 5/5 | N/A | Arnold Hattingh | | [Beyond Menu Food Delivery](https://marlvel.ai/apps/beyond-menu-food-delivery) | 4.6/5 | Thrilled | BeyondMenu | | [Uber Eats: Food & Groceries](https://marlvel.ai/apps/uber-eats-food-groceries) | 4.8/5 | n/a | Uber Technologies, Inc. | | [Instacart: Groceries & Food](https://marlvel.ai/apps/instacart-groceries-food) | 4.8/5 | Excited | Maplebear Inc | | [Caviar - Order Food Delivery](https://marlvel.ai/apps/caviar-order-food-delivery) | 4.7/5 | Excited | Caviar, Inc. | | [Postmates - Food Delivery](https://marlvel.ai/apps/postmates-food-delivery) | 4.6/5 | Excited | Uber Technologies, Inc. | ## Company Profile - **Developer:** Arnold Hattingh ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/za/app/djol/id1632440217?uo=2) - **Google Play:** [View on Google Play](https://play.google.com/store/apps/details?id=co.za.arnoldhattingh.djol) - **Sources:** App store metadata. ## Related Intel Reports - [*Beyond Menu Food Delivery*](https://marlvel.ai/apps/beyond-menu-food-delivery) (BeyondMenu) · 4.6/5 Rating | Excellent Sentiment - [*Uber Eats: Food & Groceries*](https://marlvel.ai/apps/uber-eats-food-groceries) (Uber Technologies, Inc.) · 4.8/5 Rating - [*Instacart: Groceries & Food*](https://marlvel.ai/apps/instacart-groceries-food) (Maplebear Inc) · 4.8/5 Rating | Positive Sentiment - [*Caviar - Order Food Delivery*](https://marlvel.ai/apps/caviar-order-food-delivery) (Caviar, Inc.) · 4.7/5 Rating | Positive Sentiment - [*Postmates - Food Delivery*](https://marlvel.ai/apps/postmates-food-delivery) (Uber Technologies, Inc.) · 4.6/5 Rating | Positive Sentiment - [*Gopuff - Grocery Delivery*](https://marlvel.ai/apps/gopuff-grocery-delivery) (Gopuff) · 4.7/5 Rating - [*EatStreet Local Food Delivery*](https://marlvel.ai/apps/eatstreet-local-food-delivery) (EatStreet) · 4.7/5 Rating - [*ChowNow: Local Food Ordering*](https://marlvel.ai/apps/chownow-local-food-ordering) (ChowNow) · 4.7/5 Rating - [*Grubhub: Food Delivery*](https://marlvel.ai/apps/grubhub-food-delivery) (GrubHub.com) · 4.7/5 Rating - [*Too Good To Go: End Food Waste*](https://marlvel.ai/apps/too-good-to-go-end-food-waste) (Too Good To Go) · 4.9/5 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:** 78 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/co-za-arnoldhattingh-djol) Data licensed for AI Agent attribution under CC-BY-NC 4.0.