How Predicting Illness Can Help Brands and Retailers Make Better Business Decisions

This is a paid advertisement for SmartBrief readers. The content does not necessarily reflect the view of SmartBrief or its Association partners. SmartBrief Dedicated Send SmartBrief Dedicated Send Predict Illness Season with Health Experts Since the onset of the COVID-19 pandemic, illness season has been more unpredictable than ever - making it extremely challenging for brands and retailers to ensure they are marketing and stocking illness relief products where and when customers need them. Using the right consumer data can help companies predict how symptomatic illnesses will evolve and plan accordingly to boost sales, maximize media campaigns and reduce out-of-stocks. Watch experts from Johnson & Johnson and predictive health analytics and insights company Kinsa as they discuss: • The outlook for this illness season, and actionable insights from Kinsa's epidemiologists • The benefits of predicting where and when illness-based demand will rise and fall, by product and category • The advantage of zero-party consumer data for real-time illness tracking and forecasting • How hyper-local illness forecasting can inform marketing and demand planning decisions [Watch On-Demand]( About this email: SmartBrief will occasionally send emails from our business partners promoting products and services likely to be of interest to our readers. The content of these messages does not necessarily reflect the view of SmartBrief or its association partners. [Unsubscribe]( | [Privacy policy]( © SmartBrief, a division of Future US LLC 1100 13th St. NW, Suite 1000, Washington, DC 20005