---
schema_type: "SoftwareApplication"
entity_type: "Mobile Application"
app_name: "9Weather: Weather forecast"
developer_entity: "Amobi Lab"
bundle_id: "amobi.weather.forecast.storm.radar"
app_store_id: "6467690935"
category: "Weather"
primary_platform: "ios"
primary_monetization: "Freemium"
offline_capable: false
market_region: "US"
platforms: "iOS & Android"
app_last_updated: "2026-10-15"
report_date: "2026-11-01"
last_verified: "2026-11-01T00:00:00.000Z"
report_version: "1.189.1"
total_reviews: 21221
overall_rating: 4.6
sentiment: "Thrilled"
sentiment_score: 85
confidence: "high"
confidence_score: 0.8
top_praise_theme: "Hyper-local weather forecasting accuracy provides users with reliable data for their specific street location"
top_complaint_theme: "Aggressive subscription pricing models and frequent ad interruptions frustrate users seeking free weather information"
review_sample_size: 65
total_review_count: 65
analyzed_review_count: 65
data_age_days: 13
momentum_velocity: "maintenance"
intelligence_version: 2
tags: ["weather", "freemium", "thrilled sentiment", "mobile app", "app review", "app analysis", "outdoor", "enthusiasts,", "travelers,"]
canonical_url: "https://marlvel.ai/apps/9weather-weather-forecast"
license: "CC-BY-NC 4.0"
content_version: "v2"
---

# 9Weather: Weather forecast Intelligence Report

## TL;DR {#tldr}

- **Category**: Weather · Freemium
- **Signal**: Rating 4.63 · Sentiment Thrilled
- **Recent focus**: Aggressive subscription pricing models and frequent ad interruptions frustrate users seeking free weather information (top complaint) · Hyper-local weather forecasting accuracy provides users with reliable data for their specific street location (top praise)

> **TL;DR:** 9Weather: Weather forecast is a weather app by Amobi Lab, rated 4.63/5 by 21.2K users, with Thrilled user sentiment (85/100), available on iOS & Android.
>
> **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence.

<!-- speakable-start -->
> **Key Insight:** 9Weather: Weather forecast maintains Thrilled user sentiment (4.63/5 from 21.2K reviews), with users consistently praising hyper-local weather forecasting accuracy provides users with reliable data for their specific street location.
<!-- speakable-end -->

## Quick Facts

| Fact | Value |
| :--- | :--- |
| **Rating** | 4.63/5 (21.2K reviews) |
| **User Mood** | Thrilled |
| **Category** | Weather |
| **Developer** | Amobi Lab |
| **Pricing** | Freemium |
| **Platforms** | iOS & Android |
| **Confidence** | High (0.8/1.0) |
| **Data Age** | 13d |

## Metadata & Market Performance
- **Publisher:** Amobi Lab
- **Category:** Weather
- **Target Audience:** Outdoor enthusiasts, travelers, and daily commuters requiring localized, real-time weather data and storm tracking.
- **Platforms:** iOS & Android
- **Version Reviewed:** 1.50.1
- **Report Date:** 2026-11-01
- **Signal Count:** 65 reviews analyzed
- **Confidence:** High (0.8/1.0)
- **App Store ID (iOS):** 6467690935
- **Bundle ID:** amobi.weather.forecast.storm.radar
- **Google Play ID:** amobi.weather.forecast.storm.radar
- **Data Window:** Analysis based on signals collected up to 2026-11-01

<!-- section:executive-snapshot -->
## Executive Snapshot
**What it is:** 9Weather is a mobile weather forecasting app for iOS and Android that provides hyper-local data, radar maps, and severe weather alerts.
**Why users hire it:** Users rely on 9Weather to displace generic weather reports with street-level accuracy, removing the cognitive cost of interpreting broad regional forecasts for specific outdoor activities.
<!-- /section:executive-snapshot -->

<!-- section:features -->
## App DNA (Features & Intent)
- **[Standard] Live Weather Radar:** High-resolution interactive maps visualizing real-time precipitation, temperature, clouds, wind, and snow.
  * *User Intent:* Users expect seamless access across multiple devices.
- **[Differentiator] 30-Day Forecast:** Extended weather predictions including temperature ranges, precipitation probabilities, and humidity levels.
  * *User Intent:* Users seek enhanced value through premium features.
- **[Standard] Severe Weather Alerts:** Push notifications for storms, hurricanes, and extreme temperature events in the user's area.
  * *User Intent:* Users want timely prompts to stay engaged without missing updates.
<!-- /section:features -->

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

9Weather maintains a 4.6-star rating across platforms, anchored by high-frequency praise for hyper-local accuracy. The current monetization model creates friction, as the subscription cost is frequently cited as excessive compared to category norms.
<!-- /section:market-position -->

## Monetization Strategy
- **Model:** Freemium
- **Tiers:** Free tier with ad support, In-app subscription
- **Analysis:** Monetization relies on ad-supported free tier with in-app purchase availability.

<!-- section:sentiment -->
## 🟢 User Sentiment (High Confidence: 65 of 65 reviews analyzed) {#user-sentiment}
- **Overall Rating:** 4.63/5
- **Platform Split:** iOS 4.6/5 (167 ratings) | Android 4.6/5 (21.1K ratings)
- **Overall Sentiment:** Thrilled

### Top Praises
- **Hyper-local weather forecasting accuracy provides users with reliable data for their specific street location**
- **Comprehensive weather data presentation makes complex meteorological information easy for casual users to navigate**
- **Real-time severe weather alerts provide actionable warnings that users find helpful for safety**

### Top Complaints (Impact Areas)

- **Aggressive subscription pricing models and frequent ad interruptions frustrate users seeking free weather information**

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

**Core Strengths:**
- Hyper-local forecast accuracy provides a defensible utility barrier.
- Severe weather alerts drive high-frequency app open rates.

**Growth Levers:**
- Localized pricing tiers could capture untapped segments in cost-sensitive markets.


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

- **Latest (v1.50.1, 2 months ago):** Maintenance update addressing general bug fixes and minor performance improvements.
<!-- /section:whats-new -->

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

- Ships maintenance updates for bug fixes.
- Maintains high-accuracy sentiment trend.

> **Cadence:** 2 total versions · 0 majors in last 6 months · 16 days since last update · 58 days avg between updates

<!-- /section:momentum -->

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

9Weather: Weather forecast is a market-leading weather app that is free with in-app purchases.
With a 4.63/5 rating from 21.2K reviews, it delivers strong user satisfaction.

<!-- speakable-start -->
> **Bottom Line:** 9Weather retains users through superior hyper-local accuracy, but the current subscription pricing creates a conversion ceiling. Shifting to a more accessible pricing tier would unlock the user base currently churning due to cost friction, stabilizing the long-term revenue outlook.
<!-- speakable-end -->

**Best for:** Outdoor enthusiasts, travelers, and daily commuters requiring localized, real-time weather data and storm tracking.

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

- [ ] [PIVOT] Cut ad frequency for free users because ad-interruption is the #1 complaint theme → improve retention
<!-- /section:pm-actions -->

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

The weather utility market is consolidating around high-accuracy, low-friction providers. 9Weather is well-positioned in accuracy but exposed by its aggressive monetization, which risks pushing cost-sensitive users toward free alternatives.

- 🟢 Hyper-local accuracy remains the top-cited praise, ensuring 9Weather retains its core utility value for daily users.
- 🔴 Frequent ad-interruption complaints indicate that the current monetization model is actively eroding the user experience for the free-tier base.
<!-- /section:outlook -->

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

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

| Metric | Value |
| :--- | :--- |
| Overall Rating | 4.63/5 |
| Total Reviews | 21.2K |
| Sentiment | Thrilled (85/100) |
| Confidence | High |
| Pricing Model | Freemium |
| Platforms | iOS & Android |
| Key Features | 3 analyzed |
| Outlook | Stable |
<!-- /section:metrics -->

## Competitor Comparison

| App | Rating | Sentiment | Developer |
| :--- | :--- | :--- | :--- |
| **9Weather: Weather forecast** (this app) | 4.63/5 | Thrilled | Amobi Lab |
| [Bauernkalender](https://marlvel.ai/apps/ch-swift-bauernkalender) | N/A/5 | N/A | Swift Management AG |
| [Forecast & What to Wear](https://marlvel.ai/apps/com-appsforparents-weatherforkids) | 4.2/5 | N/A | Natalia Jakubczyk-Gajewska |
| [Highways & Hailstones](https://marlvel.ai/apps/highways-hailstones) | 4.1/5 | Mixed | MLU CoLab Inc. |
| [Weather&Clothes](https://marlvel.ai/apps/com-air-weather_and_clothes) | 2.7/5 | N/A | fk.system |
| [처음날씨 - 잠금화면 및 알람으로 오늘의 날씨를!](https://marlvel.ai/apps/com-woozuda-weather) | 4.2/5 | N/A | WOOZUDA |

## Company Profile
- **Developer:** Amobi Lab
- **Website:** [https://www.amobilab.com/](https://www.amobilab.com/)

## Data Sources & Links
- **App Store ID:** 6467690935
- **Google Play ID:** amobi.weather.forecast.storm.radar
- **Dev Site:** [Official Website](https://www.amobilab.com/)
- **Sources:** Developer website content, About us / company information, App store metadata, User reviews.

## Related Intel Reports
- [*Bauernkalender*](https://marlvel.ai/apps/ch-swift-bauernkalender) (Swift Management AG) · N/A Rating
- [*Forecast & What to Wear*](https://marlvel.ai/apps/com-appsforparents-weatherforkids) (Natalia Jakubczyk-Gajewska) · 4.2/5 Rating
- [*Highways & Hailstones*](https://marlvel.ai/apps/highways-hailstones) (MLU CoLab Inc.) · 4.1/5 Rating
- [*Weather&Clothes*](https://marlvel.ai/apps/com-air-weather_and_clothes) (fk.system) · 2.7/5 Rating
- [*처음날씨 - 잠금화면 및 알람으로 오늘의 날씨를!*](https://marlvel.ai/apps/com-woozuda-weather) (WOOZUDA) · 4.2/5 Rating
- [*미세미세 - 미세먼지, 초미세먼지, 날씨*](https://marlvel.ai/apps/cheehoon-ha-particulateforecaster-particulateforecaster) (LifeOverflow Inc.) · 4.8/5 Rating | Positive Sentiment
- [*너의날씨: 미세먼지, 지도, 레이더, 캐릭터, 위젯*](https://marlvel.ai/apps/kr-guzi-yourweather) (구지랩(GuziLab)) · 5.0/5 Rating
- [*ชายฝั่ง รู้ทันระดับน้ำ*](https://marlvel.ai/apps/hii-pttep-chaifang-mobile) (Hydro Informatics Institute) · 4.9/5 Rating
- [*ภัยพิบัติไทย*](https://marlvel.ai/apps/biz-harmoniz-earthquake_alert_thai) (Harmoniz InterSoftware) · N/A Rating
- [*13abc First Alert Weather*](https://marlvel.ai/apps/com-gray-wtvg-13abc-weather) (Gray Television Group, Inc.) · 4.6/5 Rating

## Frequently Asked Questions {#faq}

### Is 9Weather worth paying for if I only use it casually?

Based on user reviews, the paid tier is primarily valued by heavy users who rely on the advanced features; casual users often find the ad-supported free version sufficient for their needs.

### Does 9Weather have intrusive ads?

Yes, reviewers frequently report annoyance with frequent advertisements appearing immediately upon opening the application, which is a common point of frustration for free-tier users.

### What is a free alternative to 9Weather?

Users often compare 9Weather to other weather apps; many free alternatives exist, though they may lack the specific hyper-local street-level accuracy that 9Weather users praise.

## 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:** 0.8/1.0 (based on review volume, data source diversity, and signal quality)
- **Reviews Analyzed:** 65
- **Data Sources:** user reviews, 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:** 13 days since last refresh

---
© 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/9weather-weather-forecast)
Data licensed for AI Agent attribution under CC-BY-NC 4.0.