4.1
522 Bewertungen
★★★★☆
28. April 2026
28. Juni 2009
Neuigkeiten
v6.25.0- Biometric login capability - Updated privacy notice
App-Info
- Entwickler
- McNeil-PPC, Inc
- Kategorie
- Health & Fitness
- Preis
- KOSTENLOS
- Version
- 6.25.0
- App-ID
- 320298020
Beschreibung
The ZYRTEC® AllergyCast® app is your go-to allergy tracker and pollen forecast tool, eliminating the guesswork in managing allergies. Using local data like pollen count, air quality and weather, it provides a personalized allergy impact score, predicting how your seasonal allergies will make you feel each day. Think of it as a "real-feel" forecast for your allergies! Wondering about today's pollen count? Get that and more at your fingertips with AllergyCast®. Beyond just pollen counts, the app offers personalized daily symptom severity predictions. Sign in, track your symptoms, and unlock personalized predictions that get more accurate over time. When you start using the app, you'll receive a local pollen forecast and a generalized symptom severity prediction. Consistently log your symptoms for more personalized predictions. Each day you’ll receive daily allergy symptom severity predictions and multi-day forecasts, factoring in your tracked symptoms and local weather. Did AllergyCast® predict a "Mild" day? Enjoy less sniffling. "Severe" symptoms predicted? You may want to be prepared. AllergyCast® App features include: - Multi-day forecasts for symptom severity predictions, pollen, weather, and air quality based on your current location. - Interactive pollen & air quality maps to see the pollen and air quality levels along with the top allergens in your area. - An enhanced allergy symptom tracker & personalized Allergy Profile. - Personalized allergy insights to learn which specific pollens may be triggers for your outdoor allergies. - Trends based on your tracked symptoms, including a personalized Allergy Profile. - Exclusive savings, coupons & offers for ZYRTEC® products.
Download-Schätzung
Geschätzte Gesamtdownloads
169
Niedrig / Mo
230
Geschätzt / Mo
362
Hoch / Mo
Geschätzt mittels Bewertungsanzahl ÷ Genre-Bewertungsrate. Abweichung ±50% möglich.
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