We're collecting shed loads of data. And what we want to be doing is extracting that data. So extracting it from our feedback, we're looking at the customer search terms that you're using. We're looking at the terminology they're using to describe that product. We're looking at the, the negative side use user, perhaps as well. And we're addressing that where perhaps we've had a communication breakdown and not explain the product or how to use it. We're looking at everything to get rich customer insights from the feedback. What we're also doing is gathering data from our marketing campaigns. We're getting loads of data from that on an hourly basis what's working. What's not. So we're extracting all of that data out. And one of the first things we'll be doing is we'll be throwing that back into the optimization piece. So we're going to re optimize our listing with this data. We now have, we're going to add new keywords. We're going to explain things differently. We're going to add new images or new content or new videos. And that is going to act as another optimization push. So it pushed again, another big kind of shunt to get that flywheel spinning faster to everything's uplifted and it starts to get higher organic rank and the sales starts to increase, but we're also doing with that data is with probing it back into the advertising campaigns to make them more refined, to make them more active. To make them more efficient to cut down the wasted spend and put that spend towards the winners. And that marketing is then pushed again. The advertising lever is and pushed again at the flywheel spins and the feedback increases. Yeah. And this fly will happen over and over and over. Yeah. And the top brands, what they're doing is they're regularly revisiting their feedback. It is not a one-off task
Thanks,
George
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