Access historical pollen count data for over 10 years on demand
Ambee’s actionable historical pollen data provides you with the best opportunity to create better solutions for your customers and help them live healthier lives. Help your customers stay ahead of pollen season by taking pollen count historical data into consideration today!
Ambee’s time-tested data with accuracy like no other
Ambee’s pollen data is a combination of insights from seasonality variations, weather trends, and satellite data. Using historical pollen count data, companies can create valuable campaigns and solutions that help their customers not only avoid seasonal allergies but tackle them all together.
Turn historical pollen count data into actionable insights
Improve healthcare
Utilize the past pollen trends to help customers handle chronic health conditions more effectively
Personalize marketing
Plug our historical pollen data into your camaigns to optimize personalized marketing
Evaluate risks
Assess future risks to health caused by seasonal pollen exposures by integrating historical data
Enhance sales
Make use of historical data to accurately forecast pollen trends and effectively increase sales of your anti-allergy products
Historical pollen count data by zip code to understand pollen trends
Accurate pollen data visualization: Ambee’s data is also available in the form of a pollen map to better understand and visualize pollen behavior at a glance.
Data-centric solutions. Business-centric results.
Here’s how these companies have made strides using Ambee’s data
Adylic harnesses pollen powers to reach allergy sufferers at the right time
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Increasing customer engagement and maximizing sales for Boots with pollen API
Read Case Study
How Brigade increased its overall employee productivity & workplace wellness
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Pollen data helps Kimberly-Clark shield its customers from high pollen exposure
Read Case StudyFrequently asked questions
What is historical pollen data, and why is it important?
Historical pollen data refers to pollen data from the past, which can span years or even decades. It is essential because it provides valuable insights into the natural variability of ecosystems and climates over long periods. By examining pollen composition and abundance over time, data scientists can reconstruct past vegetation and climate patterns. This helps us better understand current environmental conditions and predict future changes. Businesses can use these insights to make better decisions regarding their pollen-related products and innovations.
How is historical pollen count data collected and analyzed?
Historical pollen count data is typically collected through the analysis of sediment cores taken from archaeological sites. However, this process is manual and often inaccurate. At Ambee, we combine historical data from multiple pollen stations and take into consideration the weather, meteorological conditions, vegetation, and phenological factors from that particular time. We then utilize proprietary AI models to process and deliver data with the highest accuracy.
How accurate is Ambee's historical pollen data?
Ambee’s hyperlocal historical pollen data is scientifically validated and designed by best-in-class developers to exceed industry standards. Ambee’s AI models and machine learning algorithms help provide data with the highest accuracy.
Can Ambee provide historical pollen data for a specific location?
Ambee can provide historical pollen data for practically any location upon request. Currently, it is available in various locations across Europe, Asia, the U.S., Mexico, Canada, Australia, and New Zealand.
Can Ambee's historical pollen data help identify allergies and asthma triggers?
Yes, absolutely. Multiple digital health companies have already used Ambee’s historical pollen data to identify allergy and asthma triggers. You can check out our case studies to learn more about them.