---
schema_type: "SoftwareApplication"
entity_type: "Mobile Application"
app_name: "Meteo60"
developer_entity: "Mathieu Barbery"
bundle_id: "fr.microtekno.meteo60"
app_store_id: "1049913445"
category: "Météo"
primary_platform: "ios"
primary_monetization: "Paid"
offline_capable: false
market_region: "US"
platforms: "iOS"
app_last_updated: "N/A"
report_date: "2026-05-20"
last_verified: "2026-05-20T05:37:53.514Z"
report_version: "N/A"
total_reviews: 0
confidence: "low"
confidence_score: 0
data_age_days: 43
intelligence_version: 2
tags: ["météo", "paid", "mobile app", "app review", "app analysis", "individuals", "requiring", "detailed,"]
canonical_url: "https://marlvel.ai/apps/fr-microtekno-meteo60"
license: "CC-BY-NC 4.0"
content_version: "v2"
---

# Meteo60 App Audit

## TL;DR {#tldr}

- **Category**: Météo · Paid

> **TL;DR:** Meteo60 is a météo app by Mathieu Barbery, available on iOS.
>
> **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence.

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> **Key Insight:** Meteo60 is a météo app by Mathieu Barbery.
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## Quick Facts

| Fact | Value |
| :--- | :--- |
| **Category** | Météo |
| **Developer** | Mathieu Barbery |
| **Pricing** | Paid |
| **Platforms** | iOS |
| **Confidence** | Low (0/1.0) |
| **Data Age** | 43d |

## Metadata & Market Performance
- **Publisher:** Mathieu Barbery
- **Category:** Météo
- **Target Audience:** Individuals requiring detailed, localized weather forecasting and meteorological data.
- **Platforms:** iOS
- **Version Audited:** N/A
- **Audit Date:** 2026-05-20
- **Signal Count:** 0 reviews analyzed
- **Confidence:** Low (0/1.0)
- **App Store ID (iOS):** 1049913445
- **Bundle ID:** fr.microtekno.meteo60
- **Data Window:** Analysis based on signals collected up to 2026-05-20

<!-- section:executive-snapshot -->
## Executive Snapshot
Meteo60 is a weather forecasting application developed by Mathieu Barbery that provides meteorological data and visual weather maps. The app focuses on delivering localized weather insights and atmospheric conditions to users seeking precise meteorological tracking.
<!-- /section:executive-snapshot -->

<!-- section:features -->
## App DNA (Features & Intent)
- **[Standard] Weather Forecasting:** Provides meteorological predictions and atmospheric data for specific locations.
  * *User Intent:* Users seek enhanced value through premium features.
- **[Standard] Visual Weather Maps:** Offers map-based visualization of weather patterns and conditions.
<!-- /section:features -->

## Monetization Strategy
- **Model:** Paid
- **Price:** iOS: $0.99

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

Meteo60 is an established météo app that is a paid app.

<!-- speakable-start -->
> **Bottom Line:** Meteo60 is a straightforward, paid utility designed for users who prioritize direct access to meteorological data and weather mapping.
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**Best for:** Individuals requiring detailed, localized weather forecasting and meteorological data.

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

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

| Metric | Value |
| :--- | :--- |
| Total Reviews | 0 |
| Confidence | Low |
| Pricing Model | Paid |
| Platforms | iOS |
| Key Features | 2 analyzed |
<!-- /section:metrics -->

## Company Profile
- **Developer:** Mathieu Barbery

## Data Sources & Links
- **App Store:** [View on Apple Store](https://apps.apple.com/fr/app/meteo60/id1049913445?uo=2)
- **Sources:** App store metadata.

## 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:** 0/1.0 (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:** 43 days since last refresh

---
© 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/fr-microtekno-meteo60)
Data licensed for AI Agent attribution under CC-BY-NC 4.0.