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Google Trends as a Resource for Informing Plastic Surgery Marketing Decisions
Brittany Ward1, Max Ward1, Boris Paskhover2
1Rutgers New Jersey Medical School, Newark, NJ, USA.
Background:
Celebrities have long influenced the medical decisions of the general population. By analyzing Google search data using Google Trends, we measured the impact of highly publicized plastic surgery-related events on the interest level of the general population in specific search terms. Additionally, we investigated seasonal and geographic trends around interest in rhinoplasties, which is information that physicians and small surgical centers can use to optimize marketing decisions.
Methods:
Google Trends was used to access search data histories for three separate areas of interest: Kylie Jenner and lip fillers, Joan Rivers and plastic surgery, and rhinoplasty, which were then analyzed using two-tailed, two-sample equal variance t-tests.
Results:
The average interest level in fillers increased by 30.31 points after Kylie Jenner announced that she received Juvéderm lip injections. The interest level in plastic surgery was decreased by 21.3% the month after Joan Rivers' death. Between January 2004 and May 2017, the average interest level for rhinoplasty was significantly different in January/December (67.91 ± 20.68) and June/July (70.12 ± 18.89) from the remaining calendar months (63.58 ± 19.67). Los Angeles, New York City, and Miami showed consistently high interest levels throughout the time period, while Tulsa, OK, showed a major interest increase between 2015 to 2016 of 65 points.
Conclusions:
A noticeable impact was observed in both celebrity cases on search term volume, and a seasonal effect is apparent for rhinoplasty searches. As many surgeons already employ aggressive Internet marketing strategies, understanding and utilizing these trends could help optimize their investments, increase social engagement, and increase practice awareness by potential patients.
Level Of Evidence V:
This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .
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