Video content analytics application

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Will the Future of Search be Semantic in 2021?

• www.repustate.com

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Table of Contents
What are the major applications of video
analytics?

Why do we need Video AI?

How can you benefit from video analytics
applications?
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How video content analytics is improving customer
insights?

• www.repustate.com

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Video content analytics (VCA) helps companies
extract brand insights by evaluating consumer
sentiment from all types of video data. There has
been a noticeable increase in user-generated
video content as social media platforms like
TikTok and YouTube incentivize people for
uploading videos. Brands are noticing this trend
and have increased product and promotion videos
as well. This is also because studies show that
viewers retain 95 of a message when they watch
it in a video, compared to only 10 when reading
it.
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What are the major applications of video
analytics?
Video analytics helps you get a deeper
understanding of what your customers want. This
translates to better product planning, resource
optimization, and improved delivery of marketing
and advertising functions. With the boom of
social media platforms like YouTube, TikTok,
Facebook, and even niche mediums like Twitch, it
has become very easy for organizations to
leverage the applications of VCA for customer
outreach. Video content analysis, therefore, is
widely used to this effect by private companies
as well as government agencies for public health
and safety measures, security, logistics, crowd
control, traffic, and other functions.
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Why Do We Need Sentiment Analysis On Social Media?
Sentiment analysis of social media data can tell
you if customers truly like you or not. This is
far beyond empty numbers in a metrics tool. If
they share your post, if it is because they are
writing a positive review, or because they are
tagging you to be sarcastic.

• Some of the benefits of social media sentiment
  analysis are listed below
• Discover new market trends
• Design targeted marketing campaigns
• Track brand awareness
• Develop a personalized brand experience
• Conceive new product ideas

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Why do we need Video AI?
Video AI enables engaging video experiences and
intuitive content discovery. You can recognize
thousands of people, places, things, and actions
in stored and streaming videos while creating
your own custom entity labels. Video content
analysis also enables you to extract rich
metadata from the overall video or at shot/frame
level. Below are some of the major reasons why
companies need video analytics for more focused
marketing functions
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Common Channels for Social Media Mining
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How can you benefit from video
analytics applications?
Repustate has been helping clients around
geographies make sense of their video content and
finding hidden insights to drive business
intelligence. If youre thinking of increasing
the video share in your digital marketing
efforts, you need an intuitive video analytics
solution - one that has the ability to scale,
understand multiple languages natively, and
enable powerful content search and discovery.
Look no further.

Repustates powerful analysis video content
solution is available in 23 different languages.
With imposing named entity recognition (NER)
capabilities, it reads all 23 languages natively
and does not need translations. This means the
insights you get are as accurate as they can get.
Dont take our word for it. Look at the stats.
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Thank you!

• Understand your data, customers, employees with
  12X the speed and accuracy.

• Visit www.repustate.com to learn more