Imagine you want to understand how coupons impact upselling. Are they driving additional purchases? What actions do customers take before contributing to upselling? Looking at individual data points won’t reveal the full picture. But when you examine the sequence of actions leading to a completed purchase, the story becomes
It sounds simple. A person visits a website, clicks around, maybe signs up, maybe leaves, maybe comes back later. You’d think we could see that whole story clearly. But in real life, tracking that path is painful. It doesn’t matter if a company has its own engineers or
How behavior sequences reveal hidden conversion intent Most analytics tools answer one question really well: “Who already converted?” We wanted to answer a harder and more valuable question: “Who is most likely to convert next, based purely on behavior?” So we built an AI algorithm that compares how converted users
Drawing from recent industry reports and benchmarks, here's the stark reality: * Up to 25% of marketing budgets are wasted due to unreliable signals, disconnected tools, and "phantom" metrics that make weak programs appear strong, forcing teams to over-rely on guesswork. Source * Without proper attribution models,