NuVodooo's Webinar Series

Whether you are an advertiser with an Amazon Store, a D2C advertiser driving direct sales from your business’ app or website, or an omnichannel brand advertiser, Amazon’s granular sales and customer data can help make digital campaign targeting laser sharp and drive results efficiently. Learn more in this complete guide to Amazon ad campaigns.

Long commercial breaks and bad songs are as much of a tune-out catalyst as commercials. It’s the top takeaway from NuiVoodoo’s Ratings Prospects Study 23. Plus, we share a bonus finding about workplace listening.

In this episode of Moneyball for Radio, we’ll show you the least amount of contest cash necessary to motivate ratings respondents to change their listening behavior. It varies dramatically across formats, and it’s takeaway #2 from NuVoodoo’s Ratings Prospects Study 23.

In this episode of Moneyball for Radio, we’ll show you how listeners are feeling about sharing personal data and whether they are increasingly opting out of location, app, and browser tracking, as we continue sharing our six biggest takeaways from NuiVoodoo’s Ratings Prospects Study 23. This is takeaway #3.

In this episode of Moneyball for Radio, we’ll cover ad attention and conversion potential of 21 traditional and digital marketing channels as we continue sharing our six biggest takeaways from NuVoodoo’s Ratings Prospects Study 23. This is takeaway #4

In this episode of Moneyball for Radio, we’ll cover which social media channels Ratings Respondents spend the most time with in 2024 as we continue sharing our six biggest takeaways from NuVoodoo’s Ratings Prospects Study 23.

This is the premier episode of MB4R Season 2, featuring the first of six new takeaways about likely rating respondents from the latest NuVoodoo Ratings Prospects Study. We fielded this new 2024 research to help stations program better to their format audience “haystack” and more precisely micro-target in marketing to those proverbial “needles” – rare…

It’s the final episode of our Top 10 countdown, the #mistake see stations make when conducting music or perceptual research.