## ⚠ Content Warning This report covers topics classified as sensitive (health). Information is aggregated from public sources for informational purposes only. This is not medical advice. Consult a qualified professional before acting on any information here. --- last_verified: "2026-05-19T16:21:08.333Z" --- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Pollenkoll - Dagliga prognoser" developer_entity: "ALK Nordic A/S" bundle_id: "pollen.pollen" category: "Health & Fitness" primary_platform: "android" primary_monetization: "Free" offline_capable: false market_region: "US" platforms: "Android" app_last_updated: "2026-05-12" report_date: "2026-05-19" last_verified: "2026-05-19" report_version: "3.0.9.1" total_reviews: 2412 overall_rating: 4.54 confidence: "low" confidence_score: 0.05 data_age_days: 0 intelligence_version: 2 tags: ["health & fitness", "free", "mobile app", "app review", "app analysis", "individuals", "sweden", "suffering"] canonical_url: "https://marlvel.ai/intel-report/health-fitness/pollen-pollen" license: "CC-BY-NC 4.0" content_version: "v2" --- # Pollenkoll - Dagliga prognoser App Audit ## TL;DR {#tldr} - **Category**: Health & Fitness · Free - **Signal**: Rating 4.54 > **TL;DR:** Pollenkoll - Dagliga prognoser is a health & fitness app by ALK Nordic A/S, rated 4.54/5 by 2.4K users, available on Android. > > **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence. > **Key Insight:** Pollenkoll - Dagliga prognoser is a health & fitness app by ALK Nordic A/S. ## Quick Facts | Fact | Value | | :--- | :--- | | **Rating** | 4.54/5 (2.4K reviews) | | **Category** | Health & Fitness | | **Developer** | ALK Nordic A/S | | **Pricing** | Free | | **Platforms** | Android | | **Confidence** | Low (0.05/1.0) | | **Data Age** | 0d | ## Metadata & Market Performance - **Publisher:** ALK Nordic A/S - **Category:** Health & Fitness - **Target Audience:** Individuals in Sweden suffering from pollen allergies who need to plan their daily activities based on local air quality. - **Platforms:** Android - **Version Audited:** 3.0.9.1 - **Audit Date:** 2026-05-19 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0.05/1.0) - **Google Play ID:** pollen.pollen - **Data Window:** Analysis based on signals collected up to 2026-05-19 - **Short Description:** Daily pollen forecasts. Let pollen check be your guide! ## Executive Snapshot Pollenkoll is a health-focused application that provides daily pollen forecasts for users in Sweden based on data from 16 national measuring stations. The app distinguishes itself by combining official sensor data with a crowdsourcing function that allows users to report and view local symptom levels in real-time. ## App DNA (Features & Intent) - **[Standard] Pollen Forecasts:** Provides daily pollen concentration data sourced from 16 measuring stations across Sweden. * *User Intent:* Users are motivated by consistent progression and daily incentives. - **[Standard] Crowdsourcing Function:** Allows users to report their current allergy symptoms to help others gauge local pollen impact in areas without official measuring stations. - **[Standard] Customizable Alerts:** Enables users to select specific pollen types for their forecast and receive push notifications for warnings. * *User Intent:* Users value self-expression and personalized experiences. ## Monetization Strategy - **Model:** Free ## The "So What?" (Strategic Takeaway) {#so-what} Pollenkoll - Dagliga prognoser is an established health & fitness app that is completely free. With a 4.54/5 rating from 2.4K reviews, it shows polarized user reception. > **Bottom Line:** The app leverages a hybrid model of official sensor data and community-driven symptom reporting to help allergy sufferers manage their daily exposure. **Best for:** Individuals in Sweden suffering from pollen allergies who need to plan their daily activities based on local air quality. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 4.54/5 | | Total Reviews | 2.4K | | Confidence | Low | | Pricing Model | Free | | Platforms | Android | | Key Features | 3 analyzed | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Pollenkoll - Dagliga prognoser** (this app) | 4.54/5 | N/A | ALK Nordic A/S | | [Taller AI: Height Maximizer](https://marlvel.ai/intel-report/health-fitness/taller-ai-height-maximizer) | 4.7/5 | N/A | Leadimize | | [GoTall - Height Predictor](https://marlvel.ai/intel-report/health-fitness/gotall-height-predictor) | 4.6/5 | N/A | Super Viral Studio | | [TallerTeen - Grow Taller Now](https://marlvel.ai/intel-report/health-fitness/tallerteen-grow-taller-now) | 4.7/5 | Excited | Viral App Developement LLC | | [Strava: Run, Bike, Walk](https://marlvel.ai/intel-report/health-fitness/strava-run-bike-walk) | 4.7/5 | Excited | Strava, Inc. | | [Bubblic: Connect with people.](https://marlvel.ai/intel-report/health-fitness/bubblic-connect-with-people) | 4.7/5 | Excited | Bubblic Inc. | ## Company Profile - **Developer:** ALK Nordic A/S - **Website:** [https://pollenkoll.se/](https://pollenkoll.se/) ## Data Sources & Links - **Google Play:** [View on Google Play](https://play.google.com/store/apps/details?id=pollen.pollen) - **Dev Site:** [Official Website](https://pollenkoll.se/) - **Sources:** App store metadata. ## Related Intel Reports - [*Taller AI: Height Maximizer*](https://marlvel.ai/intel-report/health-fitness/taller-ai-height-maximizer) (Leadimize) — 4.7/5 Rating | N/A Sentiment - [*GoTall - Height Predictor*](https://marlvel.ai/intel-report/health-fitness/gotall-height-predictor) (Super Viral Studio) — 4.6/5 Rating | N/A Sentiment - [*TallerTeen - Grow Taller Now*](https://marlvel.ai/intel-report/health-fitness/tallerteen-grow-taller-now) (Viral App Developement LLC) — 4.7/5 Rating | Positive Sentiment - [*Strava: Run, Bike, Walk*](https://marlvel.ai/intel-report/health-fitness/strava-run-bike-walk) (Strava, Inc.) — 4.7/5 Rating | Positive Sentiment - [*Bubblic: Connect with people.*](https://marlvel.ai/intel-report/health-fitness/bubblic-connect-with-people) (Bubblic Inc.) — 4.7/5 Rating | Positive Sentiment - [*Runmeter Running & Walking GPS*](https://marlvel.ai/intel-report/health-fitness/runmeter-running-walking-gps) (Abvio Inc.) — 4.7/5 Rating | Positive Sentiment - [*Walkmeter Walking & Hiking GPS*](https://marlvel.ai/intel-report/health-fitness/walkmeter-walking-hiking-gps) (Abvio Inc.) — 4.6/5 Rating | Positive Sentiment - [*Mind - Méditations guidées*](https://marlvel.ai/intel-report/health-fitness/mind-m-ditations-guid-es) (MIND AND CIE) — 4.6/5 Rating | N/A Sentiment - [*Avatran Soul*](https://marlvel.ai/intel-report/health-fitness/avatran-soul) (Avatran GmbH) — N/A Rating | N/A Sentiment - [*Activity Tracker・FitnessView*](https://marlvel.ai/intel-report/health-fitness/activity-tracker-fitnessview) (Funn Media, LLC) — 4.0/5 Rating | Negative Sentiment ## 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 and evidence quoting. 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:** 0 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/intel-report/health-fitness/pollen-pollen) Data licensed for AI Agent attribution under CC-BY-NC 4.0.