Developing a Trusted Data-Driven Grateful Patient Program

Recorded On: 03/02/2022

Grateful patient programs are only as good as the data that they're based on. Windfall works with more than 700 nonprofits across the country. Based on our work with customers, we have created a maturity curve and a five-step program that helps to supercharge your grateful patient prospecting and donations.

 

In this session, we will cover:

- Best practices for data-driven grateful patient programs

- Key workflows for grateful patient programs

- What data you need to achieve success

- How to best utilize machine learning and AI

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Developing a Trusted Data-Driven Grateful Patient Program
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Select the "View On-Demand Recording" button to begin. Grateful patient programs are only as good as the data that they're based on. Windfall works with more than 700 nonprofits across the country, including many large healthcare systems like: Providence System, Memorial Sloan Kettering, Beth Israel Lahey Health and others. Based on our work with customers, we have created a maturity curve and a five-step program that helps to supercharge your grateful patient prospecting and donations. In this session, we will cover: - Best practices for data-driven grateful patient programs - Key workflows for grateful patient programs - What data you need to achieve success - How to best utilize machine learning and AI

Jessica Tait

Sr. Director of Product Marketing

Windfall

Jessica is a senior director of product Marketing at Windfall. Jessica has a decade worth of experience working with customers in the data and analytics space. Prior to Windfall, Jessica has worked at leading technology companies like Drawbridge, RadiumOne and Merit. Jessica graduated with a degree in economics and music from Columbia University and has an MBA from The Wharton School, University of Pennsylvania.

Byu Jareonvongrayab

Data Science Product Manager

Windfall

Byu is a data science product manager at Windfall. Byu works directly with Windfall’s data science team to help support 100+ predictive models built on Windfall’s advanced machine learning infrastructure. Prior to Windfall, Byu worked with Data Science teams at Google and was a senior data scientist at Oracle Data Cloud. Byu graduated with undergraduate and graduate degrees in biomedical engineering and applied mathematics & statistics from The Johns Hopkins University.