Social Listening Analytics - PowerPoint PPT Presentation

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Social Listening Analytics

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Social listening analytics is the analysis of brand-related conversations, content, and mentions on social media channels for customer insights. A business can use these insights for developing intelligent strategies to capture new business opportunities and enhance its current presence. AI-based machine learning platforms scan thousands of comments, posts, hashtags, user-generated videos, news items, memes, and all other social chatter, and analyze all of it for sentiment. This way, you can know how the public feels about your brand, and what the reasons behind your social media metrics are. – PowerPoint PPT presentation

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Title: Social Listening Analytics


1
Will the Future of Search be Semantic in 2021?
  • www.repustate.com

2
Table of Contents
What Is Social Listening Analytics?

What Are The Benefits Of Social Listening
Analytics?

Which Insights Are Derived From Social Media
Analytics?
3
What Is Social Listening Analytics?
Social listening analytics is the analysis of
brand-related conversations, content, and
mentions on social media channels for customer
insights. A business can use these insights for
developing intelligent strategies to capture new
business opportunities and enhance its current
presence. AI-based machine learning platforms
scan thousands of comments, posts, hashtags,
user-generated videos, news items, memes, and all
other social chatter, and analyze all of it for
sentiment. This way, you can know how the public
feels about your brand, and what the reasons
behind your social media metrics are.
4
What Are The Benefits Of Social Listening
Analytics?
  • Social Media Listening can give an organization
    important market intelligence to create effective
    strategies for business growth and increased
    revenue. Some of these advantages include
  • Discovering important industry trends
  • Tracking brand reputation
  • Developing result-oriented, targeted marketing
    campaigns
  • Measuring brand performance and awareness
  • Developing personalized shopping experiences for
    customers
  • Conceiving new ideas for bettering customer
    service
  • Social influencer marketing
  • Getting accurate competitor intelligent

5
Which Insights Are Derived From Social Media
Analytics?
6
What are the challenges in managing consumer
insights data?
7
Ending Notes
AI-based machine learning platforms like
Repustates sentiment analyser are able to
semantically understand social media data by
context and not just through the literal meaning
of words. Every social post is analyzed based on
the channel it is in, the social lingo used, and
by extracting emojis and special characters as
well, so that there are no false positives or
negatives while calculating social media
sentiment scores. Explore social listening
analytics to increase your brand performance, get
real consumer insights, and innovative ideas for
product and service enhancements.
8
Thank you!
  • Understand your data, customers, employees with
    12X the speed and accuracy.
  • Visit www.repustate.com to learn more
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