Artwork

Content provided by Link. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Link or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
Player FM - Podcast App
Go offline with the Player FM app!

Episode 3.3: AI-Powered Social Media Analytics - Transform Data into Actionable Insights

17:42
 
Share
 

Manage episode 479050373 series 3661673
Content provided by Link. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Link or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

In Episode 3.3, we're cutting through the noise of social media data and revealing how AI can transform it into actionable insights. We'll explore how AI-powered analytics can supercharge your social listening, enabling real-time brand monitoring, accurate sentiment analysis, deep audience insights, precise campaign performance measurement, and efficient influencer identification. Discover how tools like Brandwatch, Sprout Social, Hootsuite Insights, and Talkwalker leverage AI to provide you with the data you need to make informed decisions. We'll delve into practical use cases, from spotting early signs of product issues to identifying the most effective campaign strategies. Learn how to turn raw data into strategic advantages and optimize your social media presence with AI-driven insights.

Key Points Covered:

  • Introduction to AI for Social Media Analytics:
    • Focus on the challenge of overwhelming data and the need for actionable insights.
    • Emphasizes how AI helps make sense of social media data.
  • Key AI Analytics Applications:
    • Real-time brand monitoring: How AI alerts you to significant mentions and sentiment shifts.
    • Sentiment analysis: Understanding the emotions behind social media comments and posts.
    • Audience insights: Uncovering demographics, interests, and behaviors of your followers.
    • Measuring campaign performance: Tracking campaign success and identifying areas for improvement.
    • Identifying influencers: Quickly finding relevant influencers for your brand.
  • Leading AI Analytics Tools:
    • Overview of Brandwatch, Sprout Social (Analytics), Hootsuite Insights and Talkwalker.
    • Highlights the AI advantages of each tool.
  • Practical Use Cases:
    • Real-world scenarios demonstrating the application of AI analytics.
    • Examples ranging from brand monitoring to influencer identification.
  • Call to Action:
    • Encourages listeners to download the "Unlocking Insights: Your Guide to AI-Driven Social Media Analysis" workbook.
    • Reminds listeners to take the quiz.
    • Teases the next lesson, 3.4, on AI-Powered Influencer Marketing.
  continue reading

37 episodes

Artwork
iconShare
 
Manage episode 479050373 series 3661673
Content provided by Link. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Link or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

In Episode 3.3, we're cutting through the noise of social media data and revealing how AI can transform it into actionable insights. We'll explore how AI-powered analytics can supercharge your social listening, enabling real-time brand monitoring, accurate sentiment analysis, deep audience insights, precise campaign performance measurement, and efficient influencer identification. Discover how tools like Brandwatch, Sprout Social, Hootsuite Insights, and Talkwalker leverage AI to provide you with the data you need to make informed decisions. We'll delve into practical use cases, from spotting early signs of product issues to identifying the most effective campaign strategies. Learn how to turn raw data into strategic advantages and optimize your social media presence with AI-driven insights.

Key Points Covered:

  • Introduction to AI for Social Media Analytics:
    • Focus on the challenge of overwhelming data and the need for actionable insights.
    • Emphasizes how AI helps make sense of social media data.
  • Key AI Analytics Applications:
    • Real-time brand monitoring: How AI alerts you to significant mentions and sentiment shifts.
    • Sentiment analysis: Understanding the emotions behind social media comments and posts.
    • Audience insights: Uncovering demographics, interests, and behaviors of your followers.
    • Measuring campaign performance: Tracking campaign success and identifying areas for improvement.
    • Identifying influencers: Quickly finding relevant influencers for your brand.
  • Leading AI Analytics Tools:
    • Overview of Brandwatch, Sprout Social (Analytics), Hootsuite Insights and Talkwalker.
    • Highlights the AI advantages of each tool.
  • Practical Use Cases:
    • Real-world scenarios demonstrating the application of AI analytics.
    • Examples ranging from brand monitoring to influencer identification.
  • Call to Action:
    • Encourages listeners to download the "Unlocking Insights: Your Guide to AI-Driven Social Media Analysis" workbook.
    • Reminds listeners to take the quiz.
    • Teases the next lesson, 3.4, on AI-Powered Influencer Marketing.
  continue reading

37 episodes

All episodes

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Quick Reference Guide

Listen to this show while you explore
Play