Jeff (For Local Marketing) explains how ad performance must be analyzed after launch: wait for the platform algorithm to settle, then review user behavior (clicks, progression to next steps, conversions). He emphasizes using low conversion after traffic as a clue that friction/resistance exists, illustrated with a free-widget example where users click but may not complete the next step.
Now, in the real world, this is what happens. As I said, we put our best foot forward out there. And then what happens is we analyze that and because it takes a couple of days for the algorithm to figure it out, and then we start analyzing it, we start seeing, hey, what is happening? Are people reacting to it? Are they clicking on the ad? Are they going through to the next step? Are they giving us their credit card? Where is it? And we, and we look at for this, we say, okay, it's great that it's great, they're getting traffic, but if the traffic is coming in there and then they're not going to that next step, that's we call a clue. And that clue will be, hey, maybe we've put in some resistance or friction that we need to address. I'll give you an example. Let's say, for instance, I'm giving away, you know, some free widget. And to get that widget, all they have to do is click the button and they love it because it's going to change their life. Well, they click on the button.
