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Friendly Recommendation Apps

Clean the Sky - Positive Eco Trends & Breakthroughs

The 'Friendspire' App Helps Users Get Input from Friends on Topics

— April 25, 2020 — Social Media
Many consumers rely on those closest to them for recommendations when it comes to media and more, which is exactly what the 'Friendspire' app aims to help streamline. The app works by providing friends a way to get recommendations from one another on topics like movies, TV shows, podcasts, books and even places to check out in person like restaurants or bars. This helps to let users always know what might be up their alley by taking the opinion of their closest companions into account.

The 'Friendspire' app also focuses on connectivity users to tastemakers who have a knack for finding quality content to act as a social network for pinpointing the best content to stream or check out.
Trend Themes
1. Social Recommendation - The trend of using apps to get recommendations from friends and connect with tastemakers presents disruptive innovation opportunities in the area of personalized content curation.
2. Hyper-personalization - The trend of incorporating users' social circles into recommendation apps opens up possibilities for disruptive innovation in the field of tailored content suggestions.
3. Collaborative Decision Making - The trend of allowing users to rely on the opinions of their friends for recommendations presents disruptive innovation opportunities in creating more user-centric and trustworthy platforms.
Industry Implications
1. Social Media - The social media industry can capitalize on the trend of social recommendation apps by developing platforms that facilitate sharing and discovering quality content through friends and tastemakers.
2. Entertainment - The entertainment industry can leverage the trend of hyper-personalization in recommendation apps to enhance user engagement and enhance content discovery.
3. Hospitality and Dining - The hospitality and dining industry can tap into the trend of collaborative decision-making in recommendation apps to create platforms that provide personalized and reliable recommendations for restaurants and bars.
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