---
schema_type: "SoftwareApplication"
entity_type: "Mobile Application"
app_name: "Last Seen: Detective Story"
developer_entity: "Filipp Bazun"
bundle_id: "com.bazun.lastseen"
app_store_id: "6790769959"
category: "Entertainment"
primary_platform: "ios"
primary_monetization: "Freemium"
offline_capable: false
market_region: "US"
platforms: "iOS"
app_last_updated: "2026-08-08"
report_date: "2026-08-22"
last_verified: "2026-08-22T00:00:00.000Z"
report_version: "1.0"
total_reviews: 0
confidence: "low"
confidence_score: 0.2
data_age_days: 45
momentum_velocity: "maintenance"
intelligence_version: 3
tags: ["entertainment", "freemium", "mobile app", "app review", "app analysis", "true-crime", "interactive", "fiction"]
canonical_url: "https://marlvel.ai/apps/last-seen-detective-story"
license: "CC-BY-NC 4.0"
content_version: "v2"
---

# Last Seen: Detective Story Intelligence Report

## TL;DR {#tldr}

- **Category**: Entertainment · Freemium

> **TL;DR:** Last Seen: Detective Story is a entertainment app by Filipp Bazun, available on iOS.
>
> **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence.

<!-- speakable-start -->
> **Key Insight:** Last Seen: Detective Story is a entertainment app by Filipp Bazun.
<!-- speakable-end -->

## Quick Facts

| Fact | Value |
| :--- | :--- |
| **Category** | Entertainment |
| **Developer** | Filipp Bazun |
| **Pricing** | Freemium |
| **Platforms** | iOS |
| **Confidence** | Low (0.2/1.0) |
| **Data Age** | 45d |

## Metadata & Market Performance
- **Publisher:** Filipp Bazun
- **Category:** Entertainment
- **Target Audience:** True-crime fans and interactive fiction readers who prefer narrative-driven mystery games over traditional puzzle mechanics.
- **Platforms:** iOS
- **Version Reviewed:** 1.0
- **Report Date:** 2026-08-22
- **Signal Count:** 0 reviews analyzed
- **Confidence:** Low (0.2/1.0)
- **App Store ID (iOS):** 6790769959
- **Bundle ID:** com.bazun.lastseen
- **Performance Trend:** Stable
- **Data Window:** Analysis based on signals collected up to 2026-08-22

<!-- section:executive-snapshot -->
## Executive Snapshot
**What it is:** Last Seen: Detective Story is an interactive fiction mystery game for iOS that simulates a found-phone interface to drive narrative investigation.
**Why users hire it:** The game removes the abstraction of traditional puzzle games by placing evidence directly within a familiar smartphone UI, which increases player immersion for true-crime fans.
<!-- /section:executive-snapshot -->

<!-- section:features -->
## App DNA (Features & Intent)
- **[Differentiator] Found-phone interface:** Simulates a smartphone environment with 12 functional apps, creating high immersion that differentiates the product from standard puzzle games.
  * *User Intent:* Users seek enhanced value through premium features.
- **[Differentiator] Evidence-based progression:** Requires players to select specific text, photo, or call logs as evidence to answer handler questions, rewarding careful observation.
  * *User Intent:* Users are motivated by consistent progression and daily incentives.
- **[Standard] Case-based monetization:** Offers the first case for free with subsequent cases available as $3.99 in-app purchases, acting as a direct conversion lever.
  * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior.
<!-- /section:features -->

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

Last Seen: Detective Story occupies the narrative-mystery niche on iOS, relying on a high-immersion interface to compete with standard puzzle titles.
<!-- /section:market-position -->

## Monetization Strategy
- **Model:** Freemium
- **Tiers:** First case free, Additional cases available via $3.99 in-app purchase
- **Analysis:** The freemium model uses a full-length free case to establish user intent before gating subsequent content behind a $3.99 per-case purchase.

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

**Core Strengths:**
- Found-phone interface creates high immersion
- Evidence-based progression rewards careful observation

**Growth Levers:**
- Episodic case releases to build recurring revenue
- Community-driven mystery prompts to increase social sharing


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

The analysis shifted from a focus on pricing friction to a focus on content volume as the primary driver of long-term retention. The developer's roadmap now prioritizes episodic case releases over UI feature development.

**Overall trend**: Stable
**Compared at**: 2026-08-22

### High-impact changes
- **[Shifted] PM Action Item pivot** (features)

### Medium-impact changes
- **[Added] Expanded SWOT factors** (swot)
- **[Added] Content library weakness** (swot)

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

- Launched 14 days ago.
- No updates since initial release.

> **Cadence:** 1 total versions · 0 majors in last 6 months · 13 days since last update

<!-- /section:momentum -->

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

Last Seen: Detective Story is an entertainment app that is free with in-app purchases.

<!-- speakable-start -->
> **Bottom Line:** Last Seen: Detective Story's immersive interface provides a strong foundation for a narrative-driven mystery franchise, but the lack of a post-launch content cadence threatens long-term retention. Prioritizing a consistent release schedule for new cases will unlock the recurring revenue potential of the current freemium funnel.
<!-- speakable-end -->

**Best for:** True-crime fans and interactive fiction readers who prefer narrative-driven mystery games over traditional puzzle mechanics.

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

- [ ] [INVEST] Ship a roadmap of new cases because the current library is limited to two files → increase long-term retention
<!-- /section:pm-actions -->

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

The interactive fiction market is consolidating around titles that offer consistent, episodic content updates. Last Seen: Detective Story remains in a stable, early-release state, which exposes the game to churn once the initial free content is exhausted.

- ⚪ The game has maintained a stable, maintenance-mode status since launch, which limits the potential for immediate user growth without new content drops.
<!-- /section:outlook -->

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

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

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

## Competitor Comparison

| App | Rating | Sentiment | Developer |
| :--- | :--- | :--- | :--- |
| **Last Seen: Detective Story** (this app) | N/A/5 | N/A | Filipp Bazun |
| [BESTPLAY Play to earn & donate](https://marlvel.ai/apps/bestplay-play-to-earn-donate) | 4.7/5 | n/a | Bestplay |
| [JustPlay: Earn Money or Donate](https://marlvel.ai/apps/justplay-earn-money-or-donate) | 4.4/5 | n/a | JustPlay GmbH |
| [DramaBox - Stream Drama Shorts](https://marlvel.ai/apps/dramabox-stream-drama-shorts-1) | 4.7/5 | n/a | STORYMATRIX |
| [DramaWave - Dramas & Reels](https://marlvel.ai/apps/dramawave-dramas-reels) | 4.7/5 | Mixed | SKYWORK AI PTE LTD |
| [Ghost Science M3](https://marlvel.ai/apps/ghost-science-m3) | 3.1/5 | Excited | Michael Weber |

## Company Profile
- **Developer:** Filipp Bazun
- **Website:** [https://lastseen.bazun.me/](https://lastseen.bazun.me/)

## Data Sources & Links
- **App Store:** [View on Apple Store](https://apps.apple.com/us/app/last-seen-detective-story/id6790769959?uo=4)
- **Dev Site:** [Official Website](https://lastseen.bazun.me/)
- **Sources:** Developer website content, App store metadata.

## Related Intel Reports
- [*BESTPLAY Play to earn & donate*](https://marlvel.ai/apps/bestplay-play-to-earn-donate) (Bestplay) · 4.7/5 Rating
- [*JustPlay: Earn Money or Donate*](https://marlvel.ai/apps/justplay-earn-money-or-donate) (JustPlay GmbH) · 4.4/5 Rating
- [*DramaBox - Stream Drama Shorts*](https://marlvel.ai/apps/dramabox-stream-drama-shorts-1) (STORYMATRIX) · 4.7/5 Rating
- [*DramaWave - Dramas & Reels*](https://marlvel.ai/apps/dramawave-dramas-reels) (SKYWORK AI PTE LTD) · 4.7/5 Rating
- [*Ghost Science M3*](https://marlvel.ai/apps/ghost-science-m3) (Michael Weber) · 3.1/5 Rating | Positive Sentiment
- [*JustPlay: Earn Loyalty Rewards*](https://marlvel.ai/apps/justplay-earn-loyalty-rewards) (Gimica GmbH) · 4.7/5 Rating
- [*Leprecam*](https://marlvel.ai/apps/leprecam) (Asinine Games Inc) · 4.3/5 Rating
- [*PLAYZONE - Play & Earn Rewards*](https://marlvel.ai/apps/money-well-earn-rewards) (Vanessa Calatayud Gomis) · 2.5/5 Rating
- [*TikTok Pro - Events*](https://marlvel.ai/apps/com-ss-iphone-ugc-tiktok-pro) (TikTok Ltd.) · 4.8/5 Rating
- [*TikTok - Videos, Shop & LIVE*](https://marlvel.ai/apps/tiktok-videos-shop-live) (TikTok Ltd.) · 4.3/5 Rating

## Frequently Asked Questions {#faq}

### Is Last Seen: Detective Story free to play?

The game is free to download and includes the first case at no cost. Additional cases are available for purchase at $3.99 each.

### What kind of game is Last Seen: Detective Story?

It is an interactive fiction mystery game that simulates a found-phone interface, allowing players to investigate a disappearance by searching through digital evidence like texts and photos.

### Does Last Seen: Detective Story require an internet connection?

The game is designed as a self-contained mystery. While the app store description does not explicitly detail offline requirements, the found-phone simulation is built for local investigation.

## 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:** 0.2/1.0 (based on review volume, data source diversity, and signal quality)
- **Reviews Analyzed:** 0
- **Data Sources:** developer website, 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:** 45 days since last refresh

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