@DrSturg Meters are ways to measure the broadcast listener response - this was initially used with an audimeter that Nielsen bought the rights to in 1931. This is a standardized audience measurement for television.
@DrSturg I also learned the difference between syndicated and custom research. Syndicated is important because it is data sold to multiple subscribers that standardized numbers for the industry. For example, Nielsen produces syndicated data.
@MaddyMacKenzie5@DrSturg I also found this article and thought it provided interesting insights into messaging marketing and its growing influence. More companies should look to this method! #SturgChat
@DrSturg A5: This article about messaging #apps points out brands are using direct sales through personalized recommendations. This has a way to go before being fully effective, it definitely will bring in more audiences and drive direct purchases. #SturgChat
https://t.co/vWxGDCZem0
@mreichenbach2@DrSturg Yes so true, you definitely have to be careful! According to @pewresearch "nearly six-in-ten Twitter users (59%) get news on Twitter" - so they should be wary as well. https://t.co/3TZ02IafBW
@DrSturg Q4: Pros: it's important to study audience engagement on Twitter to see how frequently people are checking news outlet Twitters. Cons: there might not be a large enough audience engagement to get insights #SturgChat
@DrSturg A3: As a media analytics major I have specific skills and an understanding of certain tools that directly deal with media metrics related to news and social media. While data science is broad, media analytics is a highly specified industry. #SturgChat
@DrSturg#MediaAnalytics has a heavy focus on the why behind the what - we discover why a customer made a purchase, watched a show, or even clicked a button. #DataScience captures more of the big picture. I learned how to apply data science tools like #python to more niche ?'s #StugChat