---
schema_type: "SoftwareApplication"
entity_type: "Mobile Application"
app_name: "Learn Zodiac Signs"
developer_entity: "Nurten PIRLI"
bundle_id: "net.nurtensoft.zodiacsignsquiz"
app_store_id: "1668111840"
category: "Lifestyle"
primary_platform: "ios"
primary_monetization: "Paid"
offline_capable: true
market_region: "US"
platforms: "iOS"
app_last_updated: "2026-07-23"
report_date: "2026-08-13"
last_verified: "2026-08-13T00:00:00.000Z"
report_version: "2.0"
total_reviews: 0
confidence: "low"
confidence_score: 0.05
data_age_days: 48
momentum_velocity: "maintenance"
intelligence_version: 3
tags: ["lifestyle", "paid", "mobile app", "app review", "app analysis", "astrology", "enthusiasts", "beginners"]
canonical_url: "https://marlvel.ai/apps/learn-zodiac-signs"
license: "CC-BY-NC 4.0"
content_version: "v2"
---

# Learn Zodiac Signs Intelligence Report

## TL;DR {#tldr}

- **Category**: Lifestyle · Paid

> **TL;DR:** Learn Zodiac Signs is a lifestyle app by Nurten PIRLI, available on iOS.
>
> **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence.

<!-- speakable-start -->
> **Key Insight:** Learn Zodiac Signs is a lifestyle app by Nurten PIRLI.
<!-- speakable-end -->

## Quick Facts

| Fact | Value |
| :--- | :--- |
| **Category** | Lifestyle |
| **Developer** | Nurten PIRLI |
| **Pricing** | Paid |
| **Platforms** | iOS |
| **Confidence** | Low (0.05/1.0) |
| **Data Age** | 48d |

## Metadata & Market Performance
- **Publisher:** Nurten PIRLI
- **Category:** Lifestyle
- **Target Audience:** Astrology enthusiasts and beginners seeking a structured, offline-capable study tool.
- **Platforms:** iOS
- **Version Reviewed:** 2.0
- **Report Date:** 2026-08-13
- **Signal Count:** 0 reviews analyzed
- **Confidence:** Low (0.05/1.0)
- **App Store ID (iOS):** 1668111840
- **Bundle ID:** net.nurtensoft.zodiacsignsquiz
- **Performance Trend:** Stable
- **Data Window:** Analysis based on signals collected up to 2026-08-13

<!-- section:executive-snapshot -->
## Executive Snapshot
**What it is:** Learn Zodiac Signs is an offline-capable astrology study and quiz app for beginners on iOS.
**Why users hire it:** Users hire this app to master astrological concepts through structured study modules rather than consuming passive daily horoscopes, so the offline-first design serves users who prioritize learning over connectivity.
<!-- /section:executive-snapshot -->

<!-- section:features -->
## App DNA (Features & Intent)
- **[Differentiator] 100% Offline Access:** Full availability of study guides and quizzes without internet, serving users in low-connectivity environments.
  * *User Intent:* Users want uninterrupted access without internet dependency.
- **[Standard] Category-Based Trivia Quizzes:** Multiple-choice testing platform covering specific signs and concepts to reinforce active recall.
- **[Standard] Advanced Dashboard & Analytics:** Visual progress tracking highlights study gaps, providing a sense of accomplishment to reduce churn.
  * *User Intent:* Users seek enhanced value through premium features.
<!-- /section:features -->

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

The app occupies a niche educational segment within the Lifestyle category, relying on a $1.99 upfront price point. This creates a conversion barrier that limits its reach compared to ad-supported astrology apps.
<!-- /section:market-position -->

## Monetization Strategy
- **Model:** Paid
- **Tiers:** Single upfront purchase at $1.99
- **Price:** iOS: $1.99
- **Analysis:** The $1.99 upfront cost removes ad-supported revenue, positioning the app as a distraction-free tool but creating a conversion barrier.

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

**Core Strengths:**
- Offline-first architecture enables usage in low-connectivity environments

**Growth Levers:**
- Untapped B2B partnerships with astrology content creators could drive discovery


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

The core product remains in maintenance mode, but the analytical framing of its competitive disadvantages has sharpened to focus on discovery friction and content-creator partnerships.

**Overall trend**: Stable
**Compared at**: 2026-08-13

### Medium-impact changes
- **[Shifted] Opportunity pivot** (swot)
- **[Shifted] Threat refinement** (swot)

### Low-impact changes
- **[Shifted] Narrative sharpening** (positioning)

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

- **Latest (v2.0, 2 weeks ago):** Improved quiz performance and stability with general iOS compatibility updates.
<!-- /section:whats-new -->

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

- Ships minor stability updates.
- Maintains maintenance-level cadence.

> **Cadence:** 1 total versions · 0 majors in last 6 months · 20 days since last update

<!-- /section:momentum -->

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

Learn Zodiac Signs is a lifestyle app that is a paid app.

<!-- speakable-start -->
> **Bottom Line:** Learn Zodiac Signs offers a stable, offline-capable learning environment, but the $1.99 upfront cost caps user acquisition in a market dominated by free-to-play alternatives, so the PM should pivot to a freemium model to increase the install funnel.
<!-- speakable-end -->

**Best for:** Astrology enthusiasts and beginners seeking a structured, offline-capable study tool.

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

- [ ] [PIVOT] Pivot to freemium model because the $1.99 barrier limits top-of-funnel conversion -> increase install velocity
<!-- /section:pm-actions -->

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

The astrology market is consolidating around ad-supported apps that offer high-frequency daily content. Learn Zodiac Signs remains in maintenance mode, which leaves it exposed to competitors that iterate on live-ops and social features.

- ⚪ The latest release focuses on stability and compatibility, indicating the app remains in maintenance mode rather than active growth.
<!-- /section:outlook -->

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

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

| Metric | Value |
| :--- | :--- |
| Total Reviews | 0 |
| Confidence | Low |
| Pricing Model | Paid |
| Platforms | iOS |
| Key Features | 3 analyzed |
| Trend | Stable |
| Outlook | Stable |
<!-- /section:metrics -->

## Competitor Comparison

| App | Rating | Sentiment | Developer |
| :--- | :--- | :--- | :--- |
| **Learn Zodiac Signs** (this app) | N/A/5 | N/A | Nurten PIRLI |
| [Alarmy - Loud alarm clock](https://marlvel.ai/apps/alarmy-loud-alarm-clock) | 4.8/5 | Excited | Delight Room Co., Ltd. |
| [Tinder Dating App: Date & Chat](https://marlvel.ai/apps/tinder-dating-app-date-chat) | 4.0/5 | n/a | Tinder LLC |
| [Alarmie: Easy Rise Alarm Clock](https://marlvel.ai/apps/alarmie-easy-rise-alarm-clock) | 4.4/5 | Mixed | Jintian Wang |
| [AlarmMon ( alarm clock )](https://marlvel.ai/apps/alarmmon-alarm-clock) | 4.3/5 | n/a | Malang Studio Co. Ltd, |
| [Journey - Diary, Journal](https://marlvel.ai/apps/com-journey-ios-app) | 4.6/5 | Excited | Two App Studio Pte. Ltd. |

## Company Profile
- **Developer:** Nurten PIRLI

## Data Sources & Links
- **App Store:** [View on Apple Store](https://apps.apple.com/us/app/learn-zodiac-signs/id1668111840?uo=4)
- **Sources:** App store metadata.

## Related Intel Reports
- [*Alarmy - Loud alarm clock*](https://marlvel.ai/apps/alarmy-loud-alarm-clock) (Delight Room Co., Ltd.) · 4.8/5 Rating | Positive Sentiment
- [*Tinder Dating App: Date & Chat*](https://marlvel.ai/apps/tinder-dating-app-date-chat) (Tinder LLC) · 4.0/5 Rating
- [*Alarmie: Easy Rise Alarm Clock*](https://marlvel.ai/apps/alarmie-easy-rise-alarm-clock) (Jintian Wang) · 4.4/5 Rating
- [*AlarmMon ( alarm clock )*](https://marlvel.ai/apps/alarmmon-alarm-clock) (Malang Studio Co. Ltd,) · 4.3/5 Rating
- [*Journey - Diary, Journal*](https://marlvel.ai/apps/com-journey-ios-app) (Two App Studio Pte. Ltd.) · 4.6/5 Rating | Positive Sentiment
- [*Swiftime*](https://marlvel.ai/apps/swiftime) (MEDIANO Co.,Ltd.) · 4.5/5 Rating | Positive Sentiment
- [*마주*](https://marlvel.ai/apps/an-offline-network-where-you-meet-through-qr-codes) (lvher) · N/A Rating
- [*모앗*](https://marlvel.ai/apps/moat-moatapp) (JUNSEOK LEE) · N/A Rating
- [*야기*](https://marlvel.ai/apps/tistory-88yhtserof-yagi) (Yunhwi Lim) · N/A Rating
- [*책력*](https://marlvel.ai/apps/ryubi-chaengnyeok) (jeongrim oh) · N/A 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:** 48 days since last refresh

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