This App Uses Google Data to Find the Best Halloween Costumes
Charlotte Joyce Kidd — October 21, 2015 — Tech
References: frightgeist.withgoogle
Google has released its own app to help spooksters everywhere find the best Halloween costumes.
Google's 'Frightgeist' uses the power of Google Trends to identify the most popular Halloween costumes in any geographical area. Based on what costumes people are searching, Google ranks the top costumes nationally and locally for each user. For example, the current top five best Halloween costumes nationally are Harley Quinn, Star Wars characters, superheroes, pirates and Batman.
Users who already have a costume in mind can also input their idea and have it analyzed using Google's search data. Frightgeist tells Halloween costume searchers the national rank of their costume and how likely they are to see another person dressed the same on Halloween night. Finally, the Google app lets users pull up a random Halloween costume in case they're out of ideas.
This year, with the power of big data behind them, revelers everywhere will be wearing their best Halloween costumes ever.
Google's 'Frightgeist' uses the power of Google Trends to identify the most popular Halloween costumes in any geographical area. Based on what costumes people are searching, Google ranks the top costumes nationally and locally for each user. For example, the current top five best Halloween costumes nationally are Harley Quinn, Star Wars characters, superheroes, pirates and Batman.
Users who already have a costume in mind can also input their idea and have it analyzed using Google's search data. Frightgeist tells Halloween costume searchers the national rank of their costume and how likely they are to see another person dressed the same on Halloween night. Finally, the Google app lets users pull up a random Halloween costume in case they're out of ideas.
This year, with the power of big data behind them, revelers everywhere will be wearing their best Halloween costumes ever.
Trend Themes
1. Big Data in Retail - Using big data to analyze consumer behavior trends and create personalized recommendations.
2. Search Data Analysis - Using search data to identify and analyze trends in consumer behavior.
3. App-based Personalization - Creating personalized experiences for users through mobile apps.
Industry Implications
1. Retail - Retailers can use search data analysis to identify popular products and adjust inventory and marketing strategies accordingly, while also offering personalized recommendations to customers.
2. Mobile App Development - Developers can create app-based personalization features using big data and search data analysis to offer users a more customized experience.
3. Costume and Party Supply Industry - Companies in this industry can use big data and search data analysis to understand consumer trends and preferences, creating products and marketing campaigns accordingly.
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