This document discusses how video content analytics can provide insights for companies. It explains that as social media platforms incentivize more user-generated videos, brands are increasing their own promotional videos. Video analytics can help companies better understand customers and optimize marketing strategies. It also discusses how video AI can enable more intuitive content discovery and engagement by extracting metadata from videos.

1. Will the Future of Search
be Semantic in 2021?
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2. 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?

3. How video content
analytics is improving
customer insights?
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4. 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.

5. 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.

6. 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:
1. Discover new market trends
2. Design targeted marketing campaigns
3. Track brand awareness
4. Develop a personalized brand experience
5. Conceive new product ideas

7. 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:

8. Common Channels for Social Media
Mining

9. 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
you’re 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.
Repustate’s 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. Don’t take our
word for it. Look at the stats.

10. Thank you!
Understand your data,
customers, & employees with
12X the speed and accuracy.
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