Road to Summit Reporting Challenge: Using Mira to find actionable insights about GLP-1 weight loss drugs

Weight-loss medications, such as Ozempic and Wegovy, are driving major changes for food companies as they roll out smaller portions and more offerings with protein and fiber. Restaurants are also adjusting their menus to cater to customers on so-called GLP-1 drugs, while some like Gordon Ramsay are highly critical of the trend. For more than a year, I have been using Meltwater to monitor the evolution of this topic. Over that time, studies, surveys, and media coverage have discussed patient success stories, changes in consumer food shopping habits, and the overall impact on diets. At this point in the cycle, I wanted to use Mira and the unified dashboards to filter the overall food discussion around GLP-1s to what is being said about protein, particularly beef. 

Since you can have multiple tabs within the unified dashboards, I used one tab for beef mentions and another for a broader view of GLP-1 mentions that include food, protein, or consumer mentions. There were about 44,000 total mentions over the previous six months, with just over 5,000 focused on beef. That distinction gave me an opportunity to see how beef was being mentioned on its own in this broader GLP-1 conversation about food. One of the biggest differences between the two tabs was a recent spike in GLP-1 mentions, while beef and GLP-1 mentions declined. There were two reasons for the split. The first was an increase in news mentions as companies got the word out about new products marketed to GLP-1 users. The second reason was due to an increase, mainly on Pinterest, for KETO cookbooks and workout guides aimed at GLP-1 users, along with Reddit threads on various GLP-1 topics. The new AI widgets in the dashboards also summarize the thousands of mentions, highlighting those related to new ‘agonists’ to address GLP-1 side effects and the positive mentions where users purchased more beef and adopted healthier eating habits.

These new actionable insights from Mira, the separate searches, and the unified dashboards will help guide our internal discussion on this topic, which is gaining momentum. It exposed where the overall topic discussion is evolving and where we could be more engaged. It also highlighted some of the positive and negative views we need to consider when messaging this subject. Examples of both dashboards are below.