Thanks to this it is simply easy to operate and somehow you can draw conclusions from it. When we throw a lot of things in there at some point it becomes difficult for us to control it. A similar example to this wardrobe which is quite new - a lamp shop where it was also divided into groups with budgets of PLN - per day. And the cheapest products excluding light bulbs cost PLN So here again - to draw any conclusions from this you either have to wait for months to actually have a reasonable amount spent and consider which group is operating or limit the number of these groups.and then after a week or two we can see which should be disabled which should be optimized where this bread can still appear and
where it has no chance. AJ: What behavior do you recommend in this Asia Mobile Number List situation? Because I've heard about different paths. I have my own idea for it but I don't want to suggest anything. Because I heard for example that a good solution is to separate a set of products such as bestsellers or some sales products in cold groups and advertise them as the ones that potentially provide feedback the fastest and allow you to gain the budget for further scaling. Can you recommend any other solution? JK: When I test target groups I tend to avoid using catalog sales.
one simple reason. If we have a lot of products uploaded there the catalog is optimized for what is clicked which ultimately meets our conversion goal. And now we can have two different groups but one will show one product segment the other will show the other. And we don't really know whether the target group is to blame here or whether the products were not shown as they should have been at the beginning. So I tend to set my own static outfits. Then I have a clear overview that each of these groups contains the same advertising content and the same graphics. And I reduce drawing conclusions to comparing groups to see what resonates more with whom.
發表於 2024-3-2 13:32:47
