Social Media Insights

• Social media insights technology overview
• Types of solutions
• Key features
• Next frontiers
• What to consider when shopping for technology

In today’s customer-centric landscape, social media has become a critical source of real-time feedback, brand perception, and emerging consumer trends. This session explores how organizations can unlock the full potential of platforms like YouTube and Reddit using Wonderflow’s Voice of the Customer (VoC) solutions.

We’ll kick off with a quick look at the growing importance of social media insights, followed by an overview of Wonderflow’s expertise in transforming unstructured feedback into business intelligence. Our team will dive into the unique challenges of analyzing video comments and discussion threads, and how our purpose-built tools—YouTube Analyzer and Reddit Insights—are designed to overcome them.

Through practical examples and real-world use cases, we’ll demonstrate how these tools help brands track sentiment, uncover hidden pain points, and connect social media data with broader VoC channels for a unified customer view. Expect live demos, concrete takeaways, and a chance to explore how your organization can turn online conversations into strategic advantage.

In the world of AI, superior data quality and accuracy is essential.  However, social and related data has serious data quality issues that risk organizations making bad business decisions on poor data.  Converseon, a leader in advanced NLP and "trusted AI" will show you how its solution, Conversus AI, transforms this messy data into research (and AI) ready data through new state of the art LLM powered NLP models, model performance observability, fine tuning and governance.   Conversus prebuilt and custom model capabilities are providing great advancements, that include not only superior data quality but data classifications that go far beyond sentiment and include "attitudes," intensity, content type and more.  Converseon solutions are fully integrated with many leading social listening and media analysis platforms for easy use and deployment.

In today’s data-rich world, social media produces huge volumes of unstructured content, from video comments to discussion threads and short clips. Many brands still struggle to turn this chatter into insights that guide product development, brand health, and innovation.

This session shows how to move beyond basic monitoring and keywords to capture sentiment, topics, pain points, and trends across platforms like Facebook, Reddit, Instagram, and TikTok. We’ll cover how an integrated approach structures social text and video, links it with other VoC sources like reviews, ratings, and surveys, and reveals insights traditional listening often misses. Through real examples, you’ll learn how to detect trends early, track competitors, uncover unmet needs, and address use cases throughout the buyer journey, from awareness to post-purchase. We’ll also explore how integrating social data with broader VoC programs creates a more complete understanding of what drives consumer behavior, empowering teams to make informed decisions that resonate throughout the entire customer lifecycle.
Join us to discover practical ways to turn social data into insights that support better, faster decisions.