---
schema_type: "SoftwareApplication"
entity_type: "Mobile Application"
app_name: "Tenant Trace: Rental Checklist"
developer_entity: "abiodun oyetomi"
bundle_id: "app.tenanttrace.TenantTrace"
app_store_id: "6764883731"
category: "Productivity"
primary_platform: "ios"
primary_monetization: "Paid"
offline_capable: false
market_region: "US"
platforms: "iOS"
app_last_updated: "2026-05-05"
report_date: "2026-10-15"
last_verified: "2026-10-15T00:00:00.000Z"
report_version: "1.0"
total_reviews: 0
confidence: "low"
confidence_score: 0.2
data_age_days: 14
momentum_velocity: "zombie"
intelligence_version: 2
tags: ["productivity", "paid", "mobile app", "app review", "app analysis", "renters", "protecting", "security"]
canonical_url: "https://marlvel.ai/apps/tenant-trace-rental-checklist"
license: "CC-BY-NC 4.0"
content_version: "v2"
---

## ⚠ Content Warning

This report covers topics classified as sensitive (legal). Information is aggregated from public sources for informational purposes only. Information is provided for context only and is not professional advice.

---

# Tenant Trace: Rental Checklist Intelligence Report

## TL;DR {#tldr}

- **Category**: Productivity · Paid

> **TL;DR:** Tenant Trace: Rental Checklist is a productivity app by abiodun oyetomi, available on iOS.
>
> **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence.

<!-- speakable-start -->
> **Key Insight:** Tenant Trace: Rental Checklist is a productivity app by abiodun oyetomi.
<!-- speakable-end -->

## Quick Facts

| Fact | Value |
| :--- | :--- |
| **Category** | Productivity |
| **Developer** | abiodun oyetomi |
| **Pricing** | Paid |
| **Platforms** | iOS |
| **Confidence** | Low (0.2/1.0) |
| **Data Age** | 14d |

## Metadata & Market Performance
- **Publisher:** abiodun oyetomi
- **Category:** Productivity
- **Target Audience:** Renters protecting security deposits and landlords documenting property condition at handover.
- **Platforms:** iOS
- **Version Reviewed:** 1.0
- **Report Date:** 2026-10-15
- **Signal Count:** 0 reviews analyzed
- **Confidence:** Low (0.2/1.0)
- **App Store ID (iOS):** 6764883731
- **Bundle ID:** app.tenanttrace.TenantTrace
- **Data Window:** Analysis based on signals collected up to 2026-10-15

<!-- section:executive-snapshot -->
## Executive Snapshot
**What it is:** Tenant Trace is a rental inspection app for iOS that generates cryptographically sealed, verifiable property condition reports.
**Why users hire it:** It removes the cognitive and legal friction of deposit disputes by providing a neutral, tamper-evident record that adjudicators can verify without an account.
<!-- /section:executive-snapshot -->

<!-- section:features -->
## App DNA (Features & Intent)
- **[Differentiator] Cryptographic Report Sealing:** Applies a digital fingerprint to media at capture, allowing public verification of file integrity.
- **[Differentiator] Apple-Verified Co-sign:** Enables landlords and tenants to authenticate reports using Apple ID.
- **[Differentiator] 3D LiDAR Room Scans:** Captures spatial room data for detailed condition documentation.
  * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior.
<!-- /section:features -->

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

Tenant Trace occupies a niche utility space in the Productivity category, focusing on legal-document design rather than standard SaaS workflows. The absence of a subscription model differentiates it from broader property-management tools, though the 163-day update gap limits its visibility in a crowded store.
<!-- /section:market-position -->

## Monetization Strategy
- **Model:** Paid
- **Tiers:** Free: Room-by-room PDF, GPS/timestamped photos, public seal verification, Pro: $9.99 one-time purchase for co-sign, comparison reports, LiDAR scans, and watermark removal
- **Analysis:** One-time purchase model avoids recurring subscription friction, positioning Tenant Trace as a utility tool for specific life events.

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

**Core Strengths:**
- Cryptographic fingerprinting creates a defensible evidence standard for deposit adjudicators.

**Growth Levers:**
- Localized pricing could capture high-turnover urban rental markets.


<!-- /section:swot -->
<!-- section:momentum -->
## App Momentum (Zombie) {#momentum}

- Quiet 5 months, no major releases.
- Maintained one-time $9.99 pricing model.

> **Cadence:** 1 total versions · 0 majors in last 6 months · 163 days since last update

<!-- /section:momentum -->

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

Tenant Trace: Rental Checklist is a productivity app that is a paid app.

<!-- speakable-start -->
> **Bottom Line:** Tenant Trace provides a high-integrity evidence tool that addresses the core pain of deposit disputes, but the current maintenance-mode cadence risks its market position. A stability-focused update would signal long-term commitment to users who rely on the app for legal documentation.
<!-- speakable-end -->

**Best for:** Renters protecting security deposits and landlords documenting property condition at handover.

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

- [ ] [MAINTAIN] Ship a minor stability update because the 163-day silence risks brand trust → improve user confidence
<!-- /section:pm-actions -->

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

The rental documentation market is consolidating around verifiable, tamper-evident records. Tenant Trace is advantaged by its cryptographic approach, but the stalled release cadence leaves it exposed to rivals that offer more frequent feature updates.

- 🔴 The 163-day update silence suggests maintenance-mode, which reduces user confidence in the long-term availability of the public verification page.
- 🟢 The one-time $9.99 purchase model removes the recurring cost barrier, making Tenant Trace an attractive, low-friction choice for one-off rental inspections.
<!-- /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 |
| Outlook | Mixed |
<!-- /section:metrics -->

## Competitor Comparison

| App | Rating | Sentiment | Developer |
| :--- | :--- | :--- | :--- |
| **Tenant Trace: Rental Checklist** (this app) | N/A/5 | N/A | abiodun oyetomi |
| [HitWave](https://marlvel.ai/apps/ciendor-applications-hitwave) | 2.5/5 | Mixed | Ciendor Holdings Corp. LTD |
| [VPN 360: Fast & Secure Proxy](https://marlvel.ai/apps/co-infinitysoft-vpn360) | 4.5/5 | Mixed | Pango GmbH |
| [VPN - Super Unlimited Proxy](https://marlvel.ai/apps/vpn-super-unlimited-proxy) | 4.7/5 | Thrilled | Mobile Jump Pte Ltd |
| [Bookmarks - Send To Self](https://marlvel.ai/apps/bookmarks-send-to-self) | 4.4/5 | Excited | GILI |
| [ChatGPT](https://marlvel.ai/apps/chatgpt) | 4.8/5 | n/a | OpenAI OpCo, LLC |

## Company Profile
- **Developer:** abiodun oyetomi
- **Website:** [https://tenanttrace.app](https://tenanttrace.app)

## Data Sources & Links
- **App Store ID:** 6764883731
- **Dev Site:** [Official Website](https://tenanttrace.app)
- **Sources:** Developer website content, App store metadata.

## Related Intel Reports
- [*HitWave*](https://marlvel.ai/apps/ciendor-applications-hitwave) (Ciendor Holdings Corp. LTD) · 2.5/5 Rating
- [*VPN 360: Fast & Secure Proxy*](https://marlvel.ai/apps/co-infinitysoft-vpn360) (Pango GmbH) · 4.5/5 Rating
- [*VPN - Super Unlimited Proxy*](https://marlvel.ai/apps/vpn-super-unlimited-proxy) (Mobile Jump Pte Ltd) · 4.7/5 Rating | Excellent Sentiment
- [*Bookmarks - Send To Self*](https://marlvel.ai/apps/bookmarks-send-to-self) (GILI) · 4.4/5 Rating | Positive Sentiment
- [*ChatGPT*](https://marlvel.ai/apps/chatgpt) (OpenAI OpCo, LLC) · 4.8/5 Rating
- [*Clean Swell*](https://marlvel.ai/apps/clean-swell) (Ocean Conservancy) · 3.9/5 Rating
- [*Data Tree Manager*](https://marlvel.ai/apps/data-tree-manager) (Vsevolod Migdisov) · N/A Rating
- [*DoughLab - Baking Recipe Lab*](https://marlvel.ai/apps/doughlab-baking-recipe-lab) (Jeong-soo Park) · N/A Rating
- [*Google Gemini*](https://marlvel.ai/apps/google-gemini-1) (Google LLC) · 4.6/5 Rating | Positive Sentiment
- [*Infomaniak Euria*](https://marlvel.ai/apps/infomaniak-euria) (Infomaniak Network SA) · 4.8/5 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:** 0.2/1.0 (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:** 14 days since last refresh

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