--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Voltara: EV Charging Map" developer_entity: "Mert Can Sapaz" bundle_id: "com.fidovasoft.voltara" app_store_id: "6813869283" category: "Navigation" primary_platform: "ios" primary_monetization: "Freemium" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2026-10-27" report_date: "2026-11-13" last_verified: "2026-11-13T00:00:00.000Z" report_version: "0.3.0" total_reviews: 0 confidence: "low" confidence_score: 0.2 data_age_days: 2 momentum_velocity: "maintenance" intelligence_version: 2 tags: ["navigation", "freemium", "mobile app", "app review", "app analysis", "electric", "vehicle", "owners"] canonical_url: "https://marlvel.ai/apps/voltara-ev-charging-map" license: "CC-BY-NC 4.0" content_version: "v2" --- ## ⚠ Content Warning This report covers topics classified as sensitive (finance). Information is aggregated from public sources for informational purposes only. This is not financial or investment advice. Always do your own research. --- # Voltara: EV Charging Map Intelligence Report ## TL;DR {#tldr} - **Category**: Navigation · Freemium > **TL;DR:** Voltara: EV Charging Map is a navigation app by Mert Can Sapaz, available on iOS. > > **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence. > **Key Insight:** Voltara: EV Charging Map is a navigation app by Mert Can Sapaz. ## Quick Facts | Fact | Value | | :--- | :--- | | **Category** | Navigation | | **Developer** | Mert Can Sapaz | | **Pricing** | Freemium | | **Platforms** | iOS | | **Confidence** | Low (0.2/1.0) | | **Data Age** | 2d | ## Metadata & Market Performance - **Publisher:** Mert Can Sapaz - **Category:** Navigation - **Target Audience:** Electric vehicle owners who require precise, data-driven trip planning and real-time charger status monitoring. - **Platforms:** iOS - **Version Reviewed:** 0.3.0 - **Report Date:** 2026-11-13 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0.2/1.0) - **App Store ID (iOS):** 6813869283 - **Bundle ID:** com.fidovasoft.voltara - **Data Window:** Analysis based on signals collected up to 2026-11-13 ## Executive Snapshot **What it is:** Voltara is a charging-station map and trip planner for electric vehicle drivers, available on iOS. **Why users hire it:** Drivers use Voltara to consolidate fragmented charging data into a single, reliable source, removing the friction of checking multiple network apps before a trip. ## App DNA (Features & Intent) - **[Differentiator] Live Availability Tracking:** Real-time connector status updates for charging stations in the Netherlands, France, Germany, Switzerland, and Finland. * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior. - **[Differentiator] EV-Specific Trip Planner:** Calculates charging stops based on vehicle model, consumption models, and live weather or elevation data. - **[Differentiator] Reliability Scoring:** Assigns a 0-100 score to chargers based on source agreement, operator status, and user check-ins. ## Market Position {#market-position} Voltara occupies the aggregator niche in the navigation category, relying on 300,000+ data points to compete against network-owned apps. The lack of a large review volume (0 ratings) indicates a nascent market presence that requires immediate user acquisition focus. ## Monetization Strategy - **Model:** Freemium - **Tiers:** Free version with occasional full-screen ads and rewarded videos, Pro tier available via monthly, yearly, or lifetime purchase - **Analysis:** The Pro tier gates live availability, offline maps, and advanced trip planning, effectively monetizing the most critical features for long-distance drivers. ## SWOT Analysis {#swot} **Core Strengths:** - Aggregation of 300,000+ chargers across multiple national registries - Proprietary 0-100 reliability score centralizes verification data - Offline map packs remove the connectivity dependency rivals require **Growth Levers:** - Localized pricing models in high-EV-adoption markets like Norway or the Netherlands - Expansion of live-data partnerships into North American regions ## What's New - **Latest (v0.3.0, 2 weeks ago):** Expanded localization to 17 languages with RTL support for Arabic and extended live availability to Germany, Switzerland, and Finland. Smart search now supports all localized languages. ## App Momentum (Maintenance) {#momentum} - Expanded live availability to three countries. - Implemented full RTL layout for Arabic. - Maintains maintenance-level release cadence. > **Cadence:** 1 total versions · 1 majors in last 6 months · 16 days since last update ## The "So What?" (Strategic Takeaway) {#so-what} Voltara: EV Charging Map is a navigation app that is free with in-app purchases. > **Bottom Line:** Voltara defends its position through data aggregation, but the maintenance-level release cadence risks ceding ground to automakers building native planners. Prioritizing community check-in incentives would strengthen the reliability score, which is the only defensible barrier against network-owned apps. **Best for:** Electric vehicle owners who require precise, data-driven trip planning and real-time charger status monitoring. ### PM Action Plan (Next Best Moves) - [ ] [INVEST] Ship a community-driven check-in incentive because the current reliability score lacks sufficient user-generated verification data → increase trust in reliability scores ### Outlook: Stable The EV charging map market is consolidating as automakers integrate native planning, forcing third-party apps to compete on data accuracy and reliability. Voltara is currently positioned as a utility-first aggregator, but it must accelerate its feature cadence to remain relevant as native vehicle systems improve. - 🟢 Expanding live-data coverage to Germany, Switzerland, and Finland increases the utility for European users, which strengthens the value proposition against local rivals. - 🔴 The maintenance-level release cadence suggests a lack of active feature development, which could allow competitors to capture the market with more frequent updates. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Total Reviews | 0 | | Confidence | Low | | Pricing Model | Freemium | | Platforms | iOS | | Key Features | 3 analyzed | | Outlook | Stable | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Voltara: EV Charging Map** (this app) | N/A/5 | N/A | Mert Can Sapaz | | [CDOT Colorado Road Cameras](https://marlvel.ai/apps/cdot-colorado-road-cameras) | 5.0/5 | N/A | Brite Technologies | | [Find My Friends Phone - iMapp](https://marlvel.ai/apps/com-unwite-onthemap) | 4.2/5 | Mixed | Awared SLU | | [전국 시외버스 승차권 통합 예매(버스타고)](https://marlvel.ai/apps/com-ebcard-bustago) | 1.6/5 | N/A | EZL Corp. | | [손편지 - 내 손안에 편의점 지도](https://marlvel.ai/apps/app--288) | N/A/5 | N/A | GEONJU CHOI | | [탐나는맵](https://marlvel.ai/apps/com-tamnann-tamnannmapapp) | 3.3/5 | N/A | hyunseo Jung | ## Company Profile - **Developer:** Mert Can Sapaz - **Website:** [https://cansapaz.github.io/Voltara-Privacy/](https://cansapaz.github.io/Voltara-Privacy/) ## Data Sources & Links - **App Store ID:** 6813869283 - **Dev Site:** [Official Website](https://cansapaz.github.io/Voltara-Privacy/) - **Sources:** Developer website content, App store metadata. ## Related Intel Reports - [*CDOT Colorado Road Cameras*](https://marlvel.ai/apps/cdot-colorado-road-cameras) (Brite Technologies) · 5.0/5 Rating - [*Find My Friends Phone - iMapp*](https://marlvel.ai/apps/com-unwite-onthemap) (Awared SLU) · 4.2/5 Rating - [*전국 시외버스 승차권 통합 예매(버스타고)*](https://marlvel.ai/apps/com-ebcard-bustago) (EZL Corp.) · 1.6/5 Rating - [*손편지 - 내 손안에 편의점 지도*](https://marlvel.ai/apps/app--288) (GEONJU CHOI) · N/A Rating - [*탐나는맵*](https://marlvel.ai/apps/com-tamnann-tamnannmapapp) (hyunseo Jung) · 3.3/5 Rating - [*0-60 Drag Race Timer: GPS*](https://marlvel.ai/apps/0-60-drag-race-timer-gps) (Rui Pedro Correia) · N/A Rating | Excellent Sentiment - [*10-4 by WEX*](https://marlvel.ai/apps/com-wex-backoff) (WEX, Inc.) · 4.8/5 Rating - [*13:20:Sync*](https://marlvel.ai/apps/com-redhouseamsterdam-mayaapp) (The RedHouse Apps) · 4.9/5 Rating - [*23d GPS*](https://marlvel.ai/apps/23d-gps) (Shane Moore) · N/A Rating - [*360Finder - Real-time Locator*](https://marlvel.ai/apps/360finder-real-time-locator) (HONG KONG NOBLE LIMITED) · 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:** 0.2/1.0 (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:** 2 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/voltara-ev-charging-map) Data licensed for AI Agent attribution under CC-BY-NC 4.0.