Spotcast Shares Personalized Suggestions Based on Listening Habits
Laura McQuarrie — April 13, 2020 — Tech
References: spotcast.app & producthunt
The sheer number of podcasts that are currently available may seem overwhelming, especially when it comes to choosing a few new options to listen to—but Spotcast helps to make personalized podcast recommendations by leveraging the power of artificial intelligence. Spotcast looks into a user's listening habits to offer specific suggestions, helping to save time and connect listeners to the topics that they are actually interested in hearing about.
As well as considering a user's listening preferences, Spotcast also offers different recommendations based on the time of day, such as going to work, unwinding in the evening or preparing to fall asleep. The AI podcast recommendations are also adapted to listening devices, such as smartphones, smart speakers, cars and more.
Image Credit: Spotcast
As well as considering a user's listening preferences, Spotcast also offers different recommendations based on the time of day, such as going to work, unwinding in the evening or preparing to fall asleep. The AI podcast recommendations are also adapted to listening devices, such as smartphones, smart speakers, cars and more.
Image Credit: Spotcast
Trend Themes
1. Personalized AI Podcast Recommendations - A trend toward personalized artificial intelligence (AI) in podcast recommendations, using listening habits and time of day to offer tailored suggestions.
2. Multi-platform Integration for AI Podcast Recommendations - A trend toward integrating artificial intelligence (AI) podcast recommendations across multiple devices and platforms to increase accessibility and convenience.
3. AI-driven Podcast Curation - A trend toward using artificial intelligence (AI) for more targeted and efficient podcast curation, enhancing the listener experience and potentially increasing engagement.
Industry Implications
1. Podcasting - The podcasting industry has an opportunity to leverage personalized artificial intelligence (AI) recommendations and multi-platform integration to increase listenership and improve user experience.
2. Streaming Services - Streaming services such as Spotify and Apple Music have an opportunity to incorporate artificial intelligence (AI) podcast recommendations into their platforms, potentially attracting new users and increasing engagement.
3. Smart Devices - Smart device manufacturers and developers have an opportunity to integrate artificial intelligence (AI) podcast recommendations into their devices, providing a more seamless and convenient listening experience for users.
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