Rivr

Brief Overview of Rivr

Rivr is a social intelligence and listening platform designed specifically for the modern video-first era. It operates by transforming hours of video content and community conversations from platforms like Twitch and YouTube into structured, searchable data. This core function solves a significant problem for both brands and creators: extracting meaningful insights and content from vast amounts of unstructured live and VOD content. By leveraging advanced technology and proprietary foundational models, Rivr provides a comprehensive analytics platform that allows users to explore sentiment, track trends, and capture engaging moments without manual review. For brands, it's a powerful tool for campaign tracking and audience understanding. For creators, it's a content creation workflow accelerator, drastically reducing the time needed to find and repurpose highlights.

Rivr Key Features for Content Creators

• Sentiment Analysis: The platform can surface overall, topic-based, or keyword-specific sentiment from both creators and their communities. This allows users to gauge audience reception and understand reactions with precision.
• VOD Transcription: Rivr provides searchable, full VOD transcripts across entire campaigns. This feature supports over 100 languages, making spoken content easily accessible and searchable.
• Content Discovery: The tool is engineered to discover the most exciting and engaging moments from hours of footage. It uses algorithms like Hype 2.0 and provides Moment recommendations to automatically flag content that is likely to get a reaction.
• Speech and Chat Search: Users can identify anything said aloud by a creator by searching the transcribed speech. Additionally, the chat search function allows for finding any message or keyword mentioned by the community in the live chat history.
• Campaign Deliverable Verification: For brands running influencer campaigns, Rivr can verify that creators delivered on their commitments. This includes checking for specific talking points, brand callouts, and sponsored disclosures.
• Detailed Reporting: The platform offers performance, viewership, and engagement metrics at a glance. This provides a clear overview of how content is performing and how audiences are interacting with it.
• Unlimited Scale: Rivr is built to handle campaigns of any size. It can track and analyze an unlimited number of channels or categories, making it suitable for large-scale operations.
• Media Asset Management: The platform securely stores videos and their corresponding transcripts for as long as a user needs them. This prevents data loss and ensures assets are always available for analysis or repurposing.
• Content Reformatting: Creators can take discovered moments and reformat them into vertical video formats suitable for platforms like TikTok, YouTube Shorts, and Instagram Reels directly within the tool.
• Cloud-Based Platform: Rivr is a 100% cloud-based solution, meaning there are no installations required. It can be accessed from anywhere, at any time, and can analyze an hour of video in as little as one minute.

Rivr Target Users & Use Cases

Rivr is a dual-purpose platform built to serve the distinct needs of both enterprise-level brands and individual content creators. Its features cater to a wide range of users within the video ecosystem, from marketing teams at major gaming companies to part-time streamers looking to grow their channels.

• Primary Creator Types: The platform is ideal for live streamers and VOD creators on Twitch and YouTube. It supports any type of content, including gaming, podcasts, live events, workshops, and interviews. Brands in the media and gaming industries, as well as marketing agencies and creator management organizations, are also primary users.
• Experience Level: Rivr is accessible to users of all experience levels. The creator-facing tools are designed with a user-friendly interface to simplify the content discovery workflow. The brand-facing features provide deep, scalable analytics suitable for professional marketing and community management teams.
• Specific Use Cases:
  • Brands: Monitoring a new game launch by tracking creator conversations and community feedback in real-time.
  • Brands: Verifying that influencers in a paid campaign have mentioned key product features and included proper disclosures.
  • Brands: Identifying and gathering feedback on bugs or game-breaking issues during a public beta test by scanning for negative sentiment and specific keywords.
  • Brands: Discovering rising creators or