Are you getting things like modeling "banner blindness" and the reduction (or increase) in value of a given creative/channel based on increasing or decreasing t

Are you getting things like modeling "banner blindness" and the reduction (or increase) in value of a given creative/channel based on increasing or decreasing the frequency cap? I haven't seen anything really that handles the reporting of that specifically. Typically modeling ideal frequency caps is left as an exercise to the user, and banner blindness is typically looked at by CTR as certain channels like FB can see a steep drop in that pretty quickly after as little as 2 weeks if you have a relatively small audience you are saturating. This gets more interesting on the retargeting side as people often complain about constantly seeing ads for a company--yet the reality is higher frequency caps often work because it keeps the brand top of mind or reminds them they needed to do something. But again, not familiar with any specific technical solutions with features built around modeling that and providing recommendations. That is still largely a human effort that requires analysis of touch point data on the frequency cap side, and other directional metrics on the banner blindness side. Would love to know if you or others know of any solutions that handle that better. I'm sure DSPs/networks like Criteo and others have their own in-house solutions, but part of the challenge is that there's no great way to set global frequency caps across DSPs/networks if you use multiple platforms.