Vyrill Boost shopper confidence and conversion with video

What is Vyrill?

Vyrill offers an advanced, AI-driven platform designed to help e-commerce businesses harness the power of video content. It automatically discovers, analyzes, and manages user-generated video reviews and brand videos related to specific products. Using proprietary Artificial Intelligence, including machine learning, computer vision, audio analysis, and natural language processing, Vyrill extracts valuable insights from video footage, audio, and text.

This platform enables brands to understand shopper sentiment, identify key moments within videos, and gather demographic information. By leveraging these insights, businesses can optimize their marketing strategies, personalize shopper experiences, and select the most impactful videos for promotion on their websites and other channels. Vyrill aims to streamline the process of utilizing video content, reducing manual effort and providing data-driven metrics to justify ROI and increase conversion rates through authentic video testimonials.

Features

AI-Powered Video Analysis: Utilizes AI, machine learning, computer vision, audio analysis, and NLP to extract deep insights from video content (image, audio, text).
User-Generated Video Discovery: Automatically finds relevant user-generated videos across platforms like YouTube.
In-Video Search: Enables searching for specific moments or keywords within videos.
Sentiment & Demographic Analysis: Analyzes videos for shopper sentiment (positive/negative) and viewer demographics.
Video Commerce Integration: Facilitates the use of shoppable videos on e-commerce sites to drive conversions.
UGC Video Campaign Management: Allows brands to create and manage campaigns to collect authentic video reviews.
Competitor Insights: Provides analysis of competitor video strategies and performance.
Content Licensing Management: Simplifies the process of obtaining rights to use user-generated videos.
Generative AI Assistant: Offers AI prompts and assistance for content strategy and insights ('Ask Vyrill').
Brand Safety Monitoring: Identifies potentially harmful content within videos (nudity, sensitive language, etc.).

Use Cases

Enhancing E-commerce Conversion Rates with Shoppable Video Reviews
Gathering Authentic Customer Feedback through Video Testimonials
Analyzing Competitor Video Marketing Strategies
Improving Product Marketing with Data-Driven Video Insights
Personalizing Online Shopping Experiences using Video Content
Streamlining UGC Video Curation and Licensing for Marketing Campaigns
Monitoring Brand Reputation and Safety in Video Content
Running Targeted Video Review Collection Campaigns

FAQs

How is Vyrill different from other influencer or content discovery platforms?

Vyrill differentiates itself through its proprietary AI technology that analyzes video content across image, audio, and text dimensions. It can match videos to product catalogs, analyze sentiment, demographics, and brand safety, and provide deeper insights than typical social listening or review platforms.
How does Vyrill's Artificial Intelligence technology work?

Vyrill employs proprietary AI, machine learning, computer vision, audio analysis, and Natural Language Processing. It uses 'Automatic Video Aggregation' (AVA) to find relevant videos and a 'Vyrill Relevance Score' (VRS) algorithm to determine relevance, analyzing text, speech, and footage.
What kind of data insights does Vyrill provide?

Vyrill provides 'In-Video' analysis data including Demographics, Positive/Negative Sentiment, Word Clouds, Keyword Reports, and Brand Safety metrics (like nudity, sensitive language). It also displays standard metrics from platforms like YouTube but does not modify them.
What platforms does Vyrill support for video integration?

Currently, Vyrill integrates with YouTube, Dropbox, and Shopify, allowing capture and analysis of videos from these sources.
How long does it take for Vyrill to analyze a video?

Video analysis typically takes between 24 to 72 hours. Currently, transcript and sentiment analysis are primarily supported for English videos.