Week 4: Analyzing Airtime
March 25, 2026
Greetings, airtime analysts! Now that our framework is set, we can begin exploring what public databases have to offer about the selected drugs of choice. Over the past weeks, I’ve identified three drugs that are advertised direct-to-consumer with relatively similar amounts of airtime data for consistent comparisons. After selecting these drugs, I manually collected data on how often a commercial for a drug appeared on television over a two-year period, specifically 2023 and 2024.
Selected Drugs
The specific drugs I have chosen to study across the course of my project are Ozempic®, SKYRIZI®, and DUPIXENT®.
Ozempic® (semaglutide) is a GLP-1 injection for adults with type 2 diabetes. It is proven to lower blood sugar and A1C; lower the risk of major cardiovascular events like stroke, heart attack, or death in adults who already have heart disease; and lower the risk of worsening kidney disease and other complications. Its recent widespread advertising and strong presence in today’s media and online discussions make it a key drug for analyzing public awareness trends.
SKYRIZI® (risankizumab‐rzaa) is a biologic used to treat moderate to severe plaque psoriasis, psoriatic arthritis, and Crohn’s disease. Its advertisements are widely recognized to this day for their consistent messages and emphasis on long-term symptom relief, making SKYRIZI® a strong candidate for tracking how repeated exposure influences consumer interest over time.
DUPIXENT® (dupilumab) is a monoclonal antibody prescription used to treat conditions such as eczema, asthma, and chronic sinusitis with nasal polyps. In its commercials, DUPIXENT® frequently highlights improvements in quality of life, making it especially useful for analyzing emotional impact’s correlation to public engagement.
Collecting Airtime Data
Beyond the fact that most of you have probably seen at least one of these ads while watching your favorite TV shows, these drugs also have substantial amounts of publicly available airtime data.
Using Internet Archive’s TV News Archive (archive.org/details/tv), I filtered each drug by name within the years 2023 and 2024 to track how often each drug was mentioned daily. After spending days distinguishing between mentions in news segments, other programs, and actual commercials, I compiled a spreadsheet of this data that reflects the true frequency of televised advertisements for each drug. The numbers on the chart under each date on each year represents the number of times a commercial was aired on that day. For example, for January 1, 2023 for the drug Ozempic®, the number 9 means that 9 Ozempic® commercials were aired that day.
If you’re interested in exploring the data yourself, feel free to check it out here: docs.google.com/spreadsheets/d/163-6EA6IB6Wc043hF1K0sJT0yqWN5yuMI4Wk4RopeS0/edit?usp=sharing
Now that the airtime data has been collected, the next step is to break it down into patterns by identifying when these ads are most prominent and how these periods align with other search trends. See ya in the next one!
Citations
“What Is Ozempic®? | Ozempic® (Semaglutide) Injection 0.5 Mg or 1 Mg.” Ozempic, Novo Nordisk, 2024, www.ozempic.com/why-ozempic/what-is-ozempic.html.
“Discover SKYRIZI® (Risankizumab-Rzaa).” Skyrizi, www.skyrizi.com/.
“Take Action with DUPIXENT® (Dupilumab).” Dupixent, www.dupixent.com/.
“Internet Archive TV NEWS : Search Captions. Borrow Broadcasts.” Internet Archive, archive.org/details/tv.
Reader Interactions
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Hi Caitlin. This is a great looking dataset, thanks for sharing it with us. It will be interesting to see how this connects to the other data you are planning on collecting. It’s fun to see it develop one piece at a time because it builds some suspense as to if and how each piece of data might reinforce the others.
Thanks Dr. Mo!
Hi Caitlin! It seems like you made some great progress this week with gathering your data. I really like how each of the three drugs you chose answers a certain part of your research question, like public awareness, emotional impact, and interests over time. I think it will be a very comprehensive analysis! I also really like how you’ve organized your data table. I was just wondering what the units of airtime are in the spreadsheet you’ve shared. Are they in minutes or hours? Excited to see what other data you’ll be collecting next week and the patterns that emerge! 🙂
Hi Chloe! Thank you so much! Sorry for some of ambiguity in the chart! I edited my blog post to clarify it a bit, but the numbers on the chart represent the amount of times a commercial for that drug appeared on television for that day. For example, for Ozempic, for January 1, 2023, the number 9 means that 9 Ozempic commercials were aired that day.
Hi Caitlin,
I like your process of choosing which prescription drugs to analyze, as they’re definitely widely recognizable with a significant online and TV prescence. It’s great to get an insight of the data you’re using and the different frequencies of each drug’s ads in the same time frame.
Hi Caitlin, this is so cool omg!! Love to see which drugs you chose and I’m glad I even recognize one haha. I think the way that you selected these is very reasonable and smart. And your data is so organized omg!! Excited to see what the data reveals!