---
schema_type: "SoftwareApplication"
entity_type: "Mobile Application"
app_name: "Soil Identifier: Analysis Test"
developer_entity: "Shivam Tripathi"
bundle_id: "com.indiemobileapps.soilidentifier"
app_store_id: "6755925768"
category: "Utilities"
primary_platform: "ios"
primary_monetization: "Subscription"
offline_capable: true
market_region: "US"
platforms: "iOS & Android"
app_last_updated: "2026-10-03"
report_date: "2026-10-07"
last_verified: "2026-10-07T00:00:00.000Z"
report_version: "1.3"
total_reviews: 345
overall_rating: 4.1
sentiment: "Excited"
sentiment_score: 75
confidence: "high"
confidence_score: 0.7
top_praise_theme: "Soil testing functionality provides accurate and useful data for agricultural development and crop management"
top_complaint_theme: "Subscription requirements for continued access frustrate users who expected a free or one-time utility"
review_sample_size: 24
total_review_count: 24
analyzed_review_count: 24
data_age_days: 38
momentum_velocity: "maintenance"
intelligence_version: 2
tags: ["utilities", "subscription", "excited sentiment", "mobile app", "app review", "app analysis", "gardeners,", "farmers,", "agriculture"]
canonical_url: "https://marlvel.ai/apps/soil-identifier-analysis-test"
license: "CC-BY-NC 4.0"
content_version: "v2"
---

# Soil Identifier: Analysis Test Intelligence Report

## TL;DR {#tldr}

- **Category**: Utilities · Subscription
- **Signal**: Rating 4.12 · Sentiment Excited
- **Recent focus**: Subscription requirements for continued access frustrate users who expected a free or one-time utility (top complaint) · Soil testing functionality provides accurate and useful data for agricultural development and crop management (top praise)

> **TL;DR:** Soil Identifier: Analysis Test is a utilities app by Shivam Tripathi, rated 4.12/5 by 345 users, with Excited user sentiment (75/100), available on iOS & Android.
>
> **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence.

<!-- speakable-start -->
> **Key Insight:** Soil Identifier: Analysis Test maintains Excited user sentiment (4.12/5 from 345 reviews), with users consistently praising soil testing functionality provides accurate and useful data for agricultural development and crop management.
<!-- speakable-end -->

## Quick Facts

| Fact | Value |
| :--- | :--- |
| **Rating** | 4.12/5 (345 reviews) |
| **User Mood** | Excited |
| **Category** | Utilities |
| **Developer** | Shivam Tripathi |
| **Pricing** | Subscription |
| **Platforms** | iOS & Android |
| **Confidence** | High (0.7/1.0) |
| **Data Age** | 38d |

## Metadata & Market Performance
- **Publisher:** Shivam Tripathi
- **Category:** Utilities
- **Target Audience:** Home gardeners, farmers, and agriculture students seeking data-driven insights for soil health and crop selection.
- **Platforms:** iOS & Android
- **Version Reviewed:** 2.0
- **Report Date:** 2026-10-07
- **Signal Count:** 24 reviews analyzed
- **Confidence:** High (0.7/1.0)
- **App Store ID (iOS):** 6755925768
- **Bundle ID:** com.indiemobileapps.soilidentifier
- **Google Play ID:** com.indiemobileapps.soilidentifier
- **Data Window:** Analysis based on signals collected up to 2026-10-07

<!-- section:executive-snapshot -->
## Executive Snapshot
**What it is:** Soil Identifier: Analysis Test is a utility app for iOS and Android that uses AI camera scanning to analyze soil health and provide crop recommendations.
**Why users hire it:** The app removes the need for manual soil testing kits by providing instant, location-based health tracking and planting advice.
<!-- /section:executive-snapshot -->

<!-- section:features -->
## App DNA (Features & Intent)
- **[Differentiator] AI-Powered Soil Recognition:** Camera-based scanning identifies soil type, texture, and composition using machine learning.
  * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior.
- **[Standard] Soil Collection Tracker:** Saves and organizes soil scans by location to monitor health changes over time.
  * *User Intent:* Users want visibility into their own performance and progress.
- **[Differentiator] Offline Data Access:** Allows access to saved soil scan records without an active internet connection.
  * *User Intent:* Users want uninterrupted access without internet dependency.
<!-- /section:features -->

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

Soil Identifier: Analysis Test maintains a 4.125 rating on Android across 342 reviews, while the iOS version holds a 3.66 rating from a limited sample. The lack of recent feature updates suggests a stable but stagnant market position relative to category rivals.
<!-- /section:market-position -->

## Monetization Strategy
- **Model:** Subscription
- **Tiers:** Weekly subscription at $4.99/week, Yearly subscription at $19.99/week, In-app purchase at $29.99
- **Analysis:** Subscription model anchored at $4.99/week, gating unlimited scans and advanced analysis behind the premium tier.

<!-- section:sentiment -->
## 🟢 User Sentiment (High Confidence: 24 of 24 reviews analyzed) {#user-sentiment}
- **Overall Rating:** 4.12/5
- **Platform Split:** iOS 3.7/5 (3 ratings) | Android 4.1/5 (342 ratings)
- **Overall Sentiment:** Excited

### Top Praises
- **Soil testing functionality provides accurate and useful data for agricultural development and crop management**

### Top Complaints (Impact Areas)

- **Subscription requirements for continued access frustrate users who expected a free or one-time utility**

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

**Core Strengths:**
- Offline-first data storage reduces dependency on connectivity in rural environments
- Machine learning-driven soil recognition provides immediate, actionable health scores

**Growth Levers:**
- Expansion into companion planting data could increase utility for the home-gardener segment
- Localized pricing in high-ARPU agricultural markets could mitigate subscription friction


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

- **Latest (v2.0, 6 months ago):** Version 2.0 focuses exclusively on stability through general bug fixes.
<!-- /section:whats-new -->

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

- Ships ~2 releases per year.
- Quiet 6 months, bug fixes only.

> **Cadence:** 2 total versions · 0 majors in last 6 months · 4 days since last update · 177 days avg between updates

<!-- /section:momentum -->

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

Soil Identifier: Analysis Test is a market-leading utilities app.
With a 4.12/5 rating from 345 reviews, it delivers strong user satisfaction.

<!-- speakable-start -->
> **Bottom Line:** Soil Identifier: Analysis Test relies on a high-frequency subscription model that creates churn pressure for a utility-focused tool. Pivoting to a hybrid monetization model would address the primary user complaint and unlock a larger segment of casual gardeners.
<!-- speakable-end -->

**Best for:** Home gardeners, farmers, and agriculture students seeking data-driven insights for soil health and crop selection.

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

- [ ] [PIVOT] Introduce a one-time purchase option for basic soil analysis because subscription friction is the top complaint → increase conversion
<!-- /section:pm-actions -->

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

Users report: The agriculture utility market is consolidating around tools that offer either free, ad-supported access or high-value, long-term data tracking. Soil Identifier: Analysis Test is currently exposed due to its high-frequency subscription model and lack of recent feature investment, which will likely lead to declining retention as users migrate to more affordable alternatives.

- 🔴 The 177-day average update cadence indicates a lack of active feature development, which erodes the app's competitive standing against faster-moving rivals.
- 🔴 Subscription requirements for basic utility access drive negative sentiment, which compounds the churn risk for casual users who expected a one-time purchase.
<!-- /section:outlook -->

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

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

| Metric | Value |
| :--- | :--- |
| Overall Rating | 4.12/5 |
| Total Reviews | 345 |
| Sentiment | Excited (75/100) |
| Confidence | High |
| Pricing Model | Subscription |
| Platforms | iOS & Android |
| Key Features | 3 analyzed |
| Outlook | Stable |
<!-- /section:metrics -->

## Competitor Comparison

| App | Rating | Sentiment | Developer |
| :--- | :--- | :--- | :--- |
| **Soil Identifier: Analysis Test** (this app) | 4.12/5 | Excited | Shivam Tripathi |
| [Sota Connect: Secure Network](https://marlvel.ai/apps/fi-catconnect-sota) | 4.9/5 | N/A | Cat Connect |
| [V2Box - V2ray Client](https://marlvel.ai/apps/v2box-v2ray-client) | 4.6/5 | n/a | techlaim |
| [App For Siri Commands Tips](https://marlvel.ai/apps/app-for-siri-commands-tips) | N/A/5 | N/A | Anh La Phan Son |
| [avoVPN Desktop](https://marlvel.ai/apps/avovpn-desktop) | N/A/5 | N/A | Avocado VPN Technologies |
| [Bin Days - Bin Reminder](https://marlvel.ai/apps/bin-days-bin-reminder) | N/A/5 | N/A | Vicki Partridge |

## Company Profile
- **Developer:** Shivam Tripathi
- **Website:** [https://www.indiemobileapps.com/](https://www.indiemobileapps.com/)

## Data Sources & Links
- **App Store ID:** 6755925768
- **Google Play ID:** com.indiemobileapps.soilidentifier
- **Dev Site:** [Official Website](https://www.indiemobileapps.com/)
- **Sources:** Developer website content, About us / company information, App store metadata, User reviews.

## Related Intel Reports
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- [*V2Box - V2ray Client*](https://marlvel.ai/apps/v2box-v2ray-client) (techlaim) · 4.6/5 Rating
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## Frequently Asked Questions {#faq}

### Is Soil Identifier: Analysis Test free to use?

The app offers a free tier for basic features, but unlimited scans and advanced analysis are gated behind a weekly or yearly subscription.

### Does Soil Identifier: Analysis Test work without internet?

Yes, the app supports offline access for saved soil scan records, which is useful for testing soil in remote garden or farm locations.

### Why are users complaining about the subscription model?

Users report frustration because the app transitioned to a subscription-based model for features that were previously accessible without recurring costs.

## 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:** 0.7/1.0 (based on review volume, data source diversity, and signal quality)
- **Reviews Analyzed:** 24
- **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:** 38 days since last refresh

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