Audience behavioral trends, what people watch, save, buy and when, come mostly from your own analytics and platform insights, not from a discovery tool. What a discovery tool shows is who a creator's audience is. Pair that composition data with your first-party behavior data to see the full picture.
How do I actually understand the behavioral trends of my audience so my influencer choices reflect them?
It helps to be clear about where behavioral insight actually lives. Deep behavior, how your audience moves through content, what they save or share, when they buy and what they do next, is read from first-party sources: your own site analytics, your email and sales data and the native insights inside each social platform. A discovery tool does not track that behavioral stream for you. What it does contribute is the other half of the picture, the composition of a creator's audience, who they are by age, location and interest, which tells you whether a behavioral trend you have spotted even applies to the people a given creator reaches. The useful move is to combine them. Read behavior from your analytics to understand what your customers actually do, then use audience data to pick creators whose followers match that behaving audience. Flinque provides the audience-composition side while your own analytics stack provides the behavior. Together they tell you both who to reach and how they act.