Most brands can track sales. But few truly understand what’s driving them. At Evidnt, we helped a client connect media data, social conversations, and customer reviews using AI—revealing the real factors behind every spike in sales. This post unpacks our approach, how we automated insights, and what brands can learn from building an intelligence layer on top of their existing data.

Retailers often struggle to catch emerging product trends before competitors do. In this article, we break down how AI can turn raw eCommerce sales data—like Amazon bestseller changes—into actionable insights. By using anomaly detection and GPT-powered analysis, we automated the process of identifying fast-moving products, extracting trending keywords like “low sugar” or “keto,” and even rewriting product descriptions. This approach gives brands a faster, smarter way to spot demand shifts and act before the rest of the market catches on.

We used AI tools like Google Looker and Gemini to uncover how our Performance Max campaign was wasting ad spend on low-quality mobile apps and irrelevant websites. By shifting to manual SEM and automating reporting, we improved lead quality and built a repeatable strategy. Learn how this AI-powered audit can help both small businesses and large brands take control of their Google Ads performance.

Learn how Evidnt used AI and prompt engineering to scale sales and client communication. We turned internal docs into smart assistants that help every team member generate on-brand emails, explain strategy, and upsell effectively. Includes practical steps, lessons learned, and tips to build your own AI-powered knowledge assistant.