---
schema_type: "SoftwareApplication"
entity_type: "Mobile Application"
app_name: "Speaking Coach: Filler Words"
developer_entity: "BERKCAN ARSLAN"
bundle_id: "com.berkcanarslan.SpeakingCoach"
app_store_id: "6799104118"
category: "Education"
primary_platform: "ios"
primary_monetization: "Subscription"
offline_capable: false
market_region: "US"
platforms: "iOS"
app_last_updated: "2026-10-17"
report_date: "2026-10-27"
last_verified: "2026-10-27T00:00:00.000Z"
report_version: "1.0.7"
total_reviews: 0
confidence: "low"
confidence_score: 0.2
data_age_days: 17
momentum_velocity: "maintenance"
intelligence_version: 2
tags: ["education", "subscription", "mobile app", "app review", "app analysis", "professionals,", "students,", "speakers"]
canonical_url: "https://marlvel.ai/apps/speaking-coach-filler-words"
license: "CC-BY-NC 4.0"
content_version: "v2"
---

# Speaking Coach: Filler Words Intelligence Report

## TL;DR {#tldr}

- **Category**: Education · Subscription

> **TL;DR:** Speaking Coach: Filler Words is a education app by BERKCAN ARSLAN, available on iOS.
>
> **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence.

<!-- speakable-start -->
> **Key Insight:** Speaking Coach: Filler Words is a education app by BERKCAN ARSLAN.
<!-- speakable-end -->

## Quick Facts

| Fact | Value |
| :--- | :--- |
| **Category** | Education |
| **Developer** | BERKCAN ARSLAN |
| **Pricing** | Subscription |
| **Platforms** | iOS |
| **Confidence** | Low (0.2/1.0) |
| **Data Age** | 17d |

## Metadata & Market Performance
- **Publisher:** BERKCAN ARSLAN
- **Category:** Education
- **Target Audience:** Professionals, students, and speakers preparing for interviews, presentations, or public speaking events.
- **Platforms:** iOS
- **Version Reviewed:** 1.0.7
- **Report Date:** 2026-10-27
- **Signal Count:** 0 reviews analyzed
- **Confidence:** Low (0.2/1.0)
- **App Store ID (iOS):** 6799104118
- **Bundle ID:** com.berkcanarslan.SpeakingCoach
- **Data Window:** Analysis based on signals collected up to 2026-10-27

<!-- section:executive-snapshot -->
## Executive Snapshot
**What it is:** Speaking Coach is an education app that analyzes speech patterns for filler words, pace, and pitch on iOS.
**Why users hire it:** Users want objective, data-driven feedback on their speaking habits to improve performance in high-stakes environments like job interviews or public presentations.
<!-- /section:executive-snapshot -->

<!-- section:features -->
## App DNA (Features & Intent)
- **[Differentiator] Filler Word Detection:** Counts filler words like um and uh from recorded audio to act as the primary acquisition hook.
- **[Standard] Pace and Pause Analysis:** Calculates words per minute and silence duration to measure speaking rhythm.
- **[Differentiator] AI Coaching Notes:** Generates written improvement tips based on session metrics as a premium-tier gate.
  * *User Intent:* Users seek enhanced value through premium features.
- **[Differentiator] On-device Processing:** Runs pitch and pause analysis locally to provide a privacy-focused brand moat.
  * *User Intent:* Users prioritize data protection and trust in the platform.
<!-- /section:features -->

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

Speaking Coach operates within the Education category, targeting users who require objective speech analysis. The app's privacy-first, on-device processing provides a distinct technical advantage over cloud-dependent rivals.
<!-- /section:market-position -->

## Monetization Strategy
- **Model:** Subscription
- **Tiers:** First analysis free, Premium Weekly (3-day trial), Premium Yearly (7-day trial)
- **Analysis:** The subscription funnel is anchored by a single free analysis, which creates a high conversion barrier for users who have not yet established a practice habit.

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

**Core Strengths:**
- On-device processing creates a privacy-first brand moat against cloud-dependent competitors.
- Automated filler-word counting provides an objective metric for speech improvement.

**Growth Levers:**
- Expanding the free tier to a daily usage limit could increase long-term retention.


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

- **Latest (v1.0.7, 1 weeks ago):** Updated subscription plan screen for improved clarity alongside general stability enhancements.
<!-- /section:whats-new -->

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

The app is in a maintenance phase, shipping minor stability updates and subscription information adjustments at a cadence of approximately one release every 5-6 weeks.

> **Cadence:** 2 total versions · 0 majors in last 6 months · 10 days since last update · 1 days avg between updates

<!-- /section:momentum -->

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

Speaking Coach: Filler Words is an education app.

<!-- speakable-start -->
> **Bottom Line:** Speaking Coach provides a precise utility for speech improvement, but the restrictive free-trial model limits the user funnel. Shifting to a usage-based free tier would allow users to build a practice habit, which is the mechanism required to justify a premium subscription.
<!-- speakable-end -->

**Best for:** Professionals, students, and speakers preparing for interviews, presentations, or public speaking events.

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

- [ ] [PIVOT] Pivot the free-trial model to a daily usage limit because the current single-analysis limit prevents habit formation → increase long-term retention.
<!-- /section:pm-actions -->

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

The market for speech-coaching tools is consolidating around AI-integrated platforms that offer broader feedback. Speaking Coach remains stable due to its privacy-focused, on-device architecture, but the lack of a robust free-tier habit loop leaves it vulnerable to competitors with more aggressive user-acquisition funnels.

- ⚪ The maintenance-mode release cadence suggests a focus on stability over rapid feature expansion, which limits the app's ability to respond to market shifts.
- 🟢 On-device processing reduces server-side compute costs, allowing for a sustainable business model that does not rely on high-volume cloud infrastructure.
<!-- /section:outlook -->

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

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

| Metric | Value |
| :--- | :--- |
| Total Reviews | 0 |
| Confidence | Low |
| Pricing Model | Subscription |
| Platforms | iOS |
| Key Features | 4 analyzed |
| Outlook | Stable |
<!-- /section:metrics -->

## Competitor Comparison

| App | Rating | Sentiment | Developer |
| :--- | :--- | :--- | :--- |
| **Speaking Coach: Filler Words** (this app) | N/A/5 | N/A | BERKCAN ARSLAN |
| [ALPA: Lernspiele für Kinder](https://marlvel.ai/apps/alpa-lernspiele-fur-kinder) | N/A/5 | N/A | ALPA Kids OU |
| [ATPdigital (Legacy)](https://marlvel.ai/apps/atpdigital-legacy) | 2.0/5 | n/a | Bristol Groundschool International Ltd |
| [Catbus Student](https://marlvel.ai/apps/catbus-student) | 4.1/5 | N/A | Cohota Join Stock Company |
| [Chinese Tibetan Dictionary](https://marlvel.ai/apps/chinese-tibetan-dictionary) | 5.0/5 | Thrilled | Lobsang Monlam16922404891 |
| [Insights to Behavior](https://marlvel.ai/apps/insights-to-behavior) | N/A/5 | N/A | Insights to Behavior |

## Company Profile
- **Developer:** BERKCAN ARSLAN
- **Website:** [https://speakingcoach.berkcan.dev/](https://speakingcoach.berkcan.dev/)

## Data Sources & Links
- **App Store ID:** 6799104118
- **Dev Site:** [Official Website](https://speakingcoach.berkcan.dev/)
- **Sources:** Developer website content, App store metadata.

## Related Intel Reports
- [*ALPA: Lernspiele für Kinder*](https://marlvel.ai/apps/alpa-lernspiele-fur-kinder) (ALPA Kids OU) · N/A Rating
- [*ATPdigital (Legacy)*](https://marlvel.ai/apps/atpdigital-legacy) (Bristol Groundschool International Ltd) · 2.0/5 Rating
- [*Catbus Student*](https://marlvel.ai/apps/catbus-student) (Cohota Join Stock Company) · 4.1/5 Rating
- [*Chinese Tibetan Dictionary*](https://marlvel.ai/apps/chinese-tibetan-dictionary) (Lobsang Monlam16922404891) · 5.0/5 Rating | Excellent Sentiment
- [*Insights to Behavior*](https://marlvel.ai/apps/insights-to-behavior) (Insights to Behavior) · N/A Rating
- [*Legasthenie & LRS Trainer*](https://marlvel.ai/apps/legasthenie-lrs-trainer) (Matthias Aigner) · N/A Rating
- [*Lyceum Leaf Parent*](https://marlvel.ai/apps/lyceum-leaf-parent) (Techcess Business Solutions (Pvt) Ltd) · N/A Rating
- [*MapTap.gg*](https://marlvel.ai/apps/nibble-games-maptap) (MapTap Inc) · 4.9/5 Rating | Excellent Sentiment
- [*Money Matrix (CAD)*](https://marlvel.ai/apps/money-matrix-cad) (Blooming Kids Software LLC) · 5.0/5 Rating
- [*myTibetan*](https://marlvel.ai/apps/mytibetan) (Yury Nevalenny) · 4.8/5 Rating | Excellent Sentiment

## Frequently Asked Questions {#faq}

### Is Speaking Coach free to use?

Speaking Coach offers one free analysis. After that, users must choose a Premium Weekly or Yearly subscription to continue receiving coaching notes and analysis.

### Does Speaking Coach require an internet connection?

Pitch and pause analysis run entirely on your device, so they do not require an internet connection. However, transcription of recordings requires an encrypted connection.

### What makes Speaking Coach different from other speech apps?

Speaking Coach differentiates itself by processing pitch and pause metrics locally on your device, which ensures privacy and reduces latency compared to cloud-dependent alternatives.

## 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:** 17 days since last refresh

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