In the age of AI and big data, not all social or voice-of-customer (VoC) data is created equal. This whitepaper exposes the hidden pitfalls of relying on noisy, unfiltered data—where bots, promotions, and AI-generated content can distort insights—and introduces Converseon’s Content Type AI Model, a breakthrough approach to isolating the right stakeholder voices for accurate analysis.

By segmenting data into key categories like user-generated content, earned media, promotional material, and noise, this model ensures that brands base their insights on authentic human perspectives. Backed by precision rates as high as 99%, the model dramatically outperforms manual or Boolean methods in accuracy, scalability, and cost efficiency.

Essential reading for analysts, researchers, and marketers looking to clean their data pipelines, improve measurement accuracy, and unlock true consumer intelligence from social and media data.