Boost Engagement with Live Listener Interaction
Revitalise your podcast by inviting listeners to partake in lively discussions. This enhances engagement, offers new insights, and creates a way for additional income sources.
Alex, a Singaporean founder, approached us to build a tool for solving personalised engagement problems for podcasters. Data showed engagement rates ranging from 8% to 20%, with monetization being a major hurdle. As a first-generation entrepreneur, Alex passionately wanted to help podcasters pursue their passion while addressing engagement and monetization.
To resolve this issue, we built a tool using sophisticated AI to process large sets of unstructured data. After four months of concentrated effort, our digital product enabled podcasters to connect individually with each podcast. It allowed them to understand listener interests for monetization opportunities. Additionally, they could monitor audience engagement through an interactive dashboard.
Not only did the engagement surge up to 33% but also users were happy with our product as they got the required information from podcasts in just a few seconds, without having to listen to the entire episode. Alex, as the founder of our company, was overjoyed to see our expert team successfully providing value to customers. We collaborated closely with Alex to create more helpful services for podcast creators.
The client only had the concept of enhancing the experience of podcast listening by morphing the podcast into a rich tapestry of interactive discussions. There was a challenge for Codiste to transform the audience from silent receivers into dynamic participants, crafting a vibrant conversation with every show. The client’s need was to amplify every listener's involvement by infusing each podcast with dynamic interaction that transforms ordinary listening into a shared adventure.
Codiste provided an innovative solution, Podcast AI, by implementing some of the catchy features that elevate podcast engagement. Some of them are
Fast-track your podcast's capability with swift transcription services. Get your episodes primed for listener interaction the moment they hit the airwaves while users can get personalized recommendations that help them to discover content more efficiently.
Turn your podcast into an endless hub of conversation. Engage with listeners around the clock, shifting from passive to active engagement seamlessly. This will foster a strong emotional connection between podcasters with the audience and vice versa.
Use the power of data by tracking listener interactions and preferences. Use these complete analytics to make your future episodes. Customise them so that they are most liked by what listeners care the most about.
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Connect with UsStreamline, monetize, and maintain control of your podcasts with these innovative and unique features.
Quickly guide your audience to the content they crave. Save precious minutes for both you and your listeners with efficient content navigation.
Tap into the capabilities of interactive advertising, affiliate links, and special subscriber-only material right within your podcast environment.
Retain absolute dominion over your imaginative endeavors while crafting the directives that align with your envisaged narrative.
Codiste addressed this by developing a modern AI and LLM solution that facilitates 1:1 personalised engagement between podcasters and listeners.
Podcasters can upload their episode files; our system automatically transcribes them into interactive Podcasts. Then, share these enhanced episodes directly with your audience or embed them on your site with ease. You're not just casting pods into the void; dive into your listeners' feedback to refine your next episodes, all while unlocking different ways to make a profit. Besides, it also helps podcasters to release episodes more frequently and gives listeners a continuous stream of content.
Podcast.ai enables users to do interactive chats and helps them to discover new podcasts and episodes that they are likely to enjoy. AI in podcasting recommends podcasts users love the most as per their preferences. Personalised recommendations help listeners to spend more time listening and less searching. Engagement surged up to 33%, with listeners expressing gratitude for instantaneous, personalised responses akin to direct conversations with podcasters.