---
schema_type: "SoftwareApplication"
entity_type: "Mobile Application"
app_name: "Amarone wine database"
developer_entity: "Bo Axman"
bundle_id: "com.thirtyfourInteractive.Amarone"
app_store_id: "1359720053"
category: "Food & Drink"
primary_platform: "ios"
primary_monetization: "Freemium"
offline_capable: false
market_region: "US"
platforms: "iOS"
app_last_updated: "2023-01-26"
report_date: "2026-09-05"
last_verified: "2026-09-05T00:00:00.000Z"
report_version: "2.1"
total_reviews: 9
overall_rating: 5
confidence: "low"
confidence_score: 0.3
data_age_days: 70
momentum_velocity: "zombie"
intelligence_version: 3
tags: ["food & drink", "freemium", "mobile app", "app review", "app analysis", "enthusiasts", "collectors", "interested"]
canonical_url: "https://marlvel.ai/apps/amarone-wine-database"
license: "CC-BY-NC 4.0"
content_version: "v2"
---

# Amarone wine database Intelligence Report

## TL;DR {#tldr}

- **Category**: Food & Drink · Freemium
- **Signal**: Rating 5

> **TL;DR:** Amarone wine database is a food & drink app by Bo Axman, rated 5/5 by 9 users, available on iOS.
>
> **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence.

<!-- speakable-start -->
> **Key Insight:** Amarone wine database is a food & drink app by Bo Axman.
<!-- speakable-end -->

## Quick Facts

| Fact | Value |
| :--- | :--- |
| **Rating** | 5/5 (9 reviews) |
| **Category** | Food & Drink |
| **Developer** | Bo Axman |
| **Pricing** | Freemium |
| **Platforms** | iOS |
| **Confidence** | Low (0.3/1.0) |
| **Data Age** | 70d |

## Metadata & Market Performance
- **Publisher:** Bo Axman
- **Category:** Food & Drink
- **Target Audience:** Wine enthusiasts and collectors interested in Amarone della Valpolicella who require a reference tool for vintages and producers.
- **Platforms:** iOS
- **Version Reviewed:** 2.1
- **Report Date:** 2026-09-05
- **Signal Count:** 0 reviews analyzed
- **Confidence:** Low (0.3/1.0)
- **App Store ID (iOS):** 1359720053
- **Bundle ID:** com.thirtyfourInteractive.Amarone
- **Performance Trend:** Stable
- **Data Window:** Analysis based on signals collected up to 2026-09-05

<!-- section:executive-snapshot -->
## Executive Snapshot
**What it is:** Amarone wine database is a specialized reference tool for Amarone della Valpolicella wines, providing regional production data and producer labels on iOS.
**Why users hire it:** The app removes the friction of identifying specific Amarone producers and regional classifications, which are often challenging to verify on labels alone.
<!-- /section:executive-snapshot -->

<!-- section:features -->
## App DNA (Features & Intent)
- **[Differentiator] Amarone Database:** Catalog of 1,150 Amarone wines with regional production data and labels, creating high switching costs for collectors.
  * *User Intent:* Users seek enhanced value through premium features.
- **[Standard] Personalized Lists:** User-created lists for tracking tasted wines or future purchase interests.
  * *User Intent:* Users value self-expression and personalized experiences.
- **[Standard] Winery Mapping:** Interactive map integration displaying winery locations and contact information.
<!-- /section:features -->

<!-- section:market-position -->
## Market Position {#market-position}

Amarone wine database occupies a specialized niche in the Food & Drink category, relying on a 5.0-star rating across 9 reviews to maintain its position. The lack of updates for 1,318 days signals a static market posture compared to active competitors.
<!-- /section:market-position -->

## Monetization Strategy
- **Model:** Freemium
- **Tiers:** Free to download, Paid access for full information
- **Analysis:** The freemium model gates full database access behind an in-app purchase, positioning the app as a digital reference tool.

<!-- section:swot -->
## SWOT Analysis {#swot}

**Core Strengths:**
- 1,150-wine catalog creates high switching costs for collectors.
- Regional classification provides depth unavailable in generalist apps.

**Growth Levers:**
- Real-time market pricing integration could increase paid-tier value.
- Community-driven label scanning could reduce manual search friction.


<!-- /section:swot -->
## Recent Changes (v2 → v3) {#recent-changes}

The app remains in a state of total development inactivity, with no changes to features or pricing. The primary shift is a more detailed SWOT analysis that explicitly identifies operating system compatibility and generalist competition as critical long-term threats.

**Overall trend**: Stable
**Compared at**: 2026-09-05

### High-impact changes
- **[Added] Expanded SWOT Analysis** (swot)

### Medium-impact changes
- **[Shifted] Competitive Stance Refinement** (positioning)

<!-- section:whats-new -->
## What's New

- **Latest (v2.1, 3 years ago):** General user experience improvements.
<!-- /section:whats-new -->

<!-- section:momentum -->
## App Momentum (Zombie) {#momentum}

- Maintenance mode for 1,318 days.
- No feature expansion since release.

> **Cadence:** 1 total versions · 0 majors in last 6 months · 1317 days since last update

<!-- /section:momentum -->

<!-- section:so-what -->
## The "So What?" (Strategic Takeaway) {#so-what}

Amarone wine database is a food & drink app that is free with in-app purchases.
It holds a 5/5 rating from 9 reviews.

<!-- speakable-start -->
> **Bottom Line:** Maintaining the current database depth is the primary value, but the lack of updates threatens long-term relevance as generalist competitors improve their data-entry capabilities.
<!-- speakable-end -->

**Best for:** Wine enthusiasts and collectors interested in Amarone della Valpolicella who require a reference tool for vintages and producers.

<!-- section:pm-actions -->
### PM Action Plan (Next Best Moves)

- [ ] [MAINTAIN] Audit compatibility for current OS versions because the app has not been updated in 1,318 days → prevent potential crashes
<!-- /section:pm-actions -->

<!-- section:outlook -->
### Outlook: Stable

The market for specialized wine databases is consolidating around generalist platforms that offer social features and real-time pricing. Amarone wine database remains a stable, niche reference tool, but its lack of updates leaves it vulnerable to competitors that offer more dynamic data and active support.

- ⚪ The 1,318-day update gap confirms a maintenance-only posture, which limits growth but preserves the existing niche utility.
<!-- /section:outlook -->

<!-- /section:so-what -->

<!-- section:metrics -->
## Key Metrics Summary

| Metric | Value |
| :--- | :--- |
| Overall Rating | 5/5 |
| Total Reviews | 9 |
| Confidence | Low |
| Pricing Model | Freemium |
| Platforms | iOS |
| Key Features | 3 analyzed |
| Trend | Stable |
| Outlook | Stable |
<!-- /section:metrics -->

## Competitor Comparison

| App | Rating | Sentiment | Developer |
| :--- | :--- | :--- | :--- |
| **Amarone wine database** (this app) | 5/5 | N/A | Bo Axman |
| [Beyond Menu Food Delivery](https://marlvel.ai/apps/beyond-menu-food-delivery) | 4.6/5 | N/A | BeyondMenu |
| [Caviar - Order Food Delivery](https://marlvel.ai/apps/caviar-order-food-delivery) | 4.6/5 | n/a | Caviar, Inc. |
| [ChowNow: Local Food Ordering](https://marlvel.ai/apps/chownow-local-food-ordering) | 4.7/5 | n/a | ChowNow |
| [Dairy Queen® Food & Treats](https://marlvel.ai/apps/dairy-queen-food-treats) | 4.4/5 | n/a | International Dairy Queen, Inc. |
| [EatStreet Local Food Delivery](https://marlvel.ai/apps/eatstreet-local-food-delivery) | 4.7/5 | n/a | EatStreet |

## Company Profile
- **Developer:** Bo Axman
- **Website:** [https://www.amarone-leksikon.dk](https://www.amarone-leksikon.dk)

## Data Sources & Links
- **App Store ID:** 1359720053
- **Dev Site:** [Official Website](https://www.amarone-leksikon.dk)
- **Sources:** Developer website content, About us / company information, App store metadata.

## Related Intel Reports
- [*Beyond Menu Food Delivery*](https://marlvel.ai/apps/beyond-menu-food-delivery) (BeyondMenu) · 4.6/5 Rating
- [*Caviar - Order Food Delivery*](https://marlvel.ai/apps/caviar-order-food-delivery) (Caviar, Inc.) · 4.6/5 Rating
- [*ChowNow: Local Food Ordering*](https://marlvel.ai/apps/chownow-local-food-ordering) (ChowNow) · 4.7/5 Rating
- [*Dairy Queen® Food & Treats*](https://marlvel.ai/apps/dairy-queen-food-treats) (International Dairy Queen, Inc.) · 4.4/5 Rating
- [*EatStreet Local Food Delivery*](https://marlvel.ai/apps/eatstreet-local-food-delivery) (EatStreet) · 4.7/5 Rating
- [*Gopuff - Grocery Delivery*](https://marlvel.ai/apps/gopuff-grocery-delivery) (Gopuff) · 4.7/5 Rating
- [*Grubhub: Food Delivery*](https://marlvel.ai/apps/grubhub-food-delivery) (GrubHub.com) · 4.7/5 Rating
- [*Instacart: Groceries & Food*](https://marlvel.ai/apps/instacart-groceries-food) (Maplebear Inc) · 4.8/5 Rating
- [*Postmates - Food Delivery*](https://marlvel.ai/apps/postmates-food-delivery) (Uber Technologies, Inc.) · 4.6/5 Rating
- [*Seamless: Local Food Delivery*](https://marlvel.ai/apps/seamless-local-food-delivery) (Seamless North America, LLC) · 4.7/5 Rating

## Frequently Asked Questions {#faq}

### Is Amarone wine database suitable for casual wine drinkers?

The app is designed for collectors and enthusiasts who need detailed regional data. Casual users may find the freemium gating of the full database restrictive compared to free generalist wine apps.

### How does Amarone wine database compare to general wine apps?

Amarone wine database provides specialized regional data for a specific wine type, whereas general wine apps offer broader coverage, social features, and real-time pricing.

### Is the app still being updated?

No, the app has not received a store update in over 1,300 days, indicating it is currently in maintenance mode.

## 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:** 0.3/1.0 (based on review volume, data source diversity, and signal quality)
- **Reviews Analyzed:** 0
- **Data Sources:** developer website, company about page, 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:** 70 days since last refresh

---
© 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/amarone-wine-database)
Data licensed for AI Agent attribution under CC-BY-NC 4.0.