Post by account_disabled on Nov 25, 2023 4:25:22 GMT
So why do we really need to manage it in real time? AG To do this you need firstly a place where you can collect and sort all the data and secondly someone who will properly understand and interpret it. So you have to have an analyst. Companies that were able to afford this type of analysis were the biggest players. Smart Attribution is intended to help everyone use attribution in practice. Because if it is here and now it means that you don't need an analyst who sits and analyzes your data the system itself does it. MM There is a lot of talk about artificial intelligence and machine learning.
When it comes to this trend Google and Facebook have the greatest financial and programming resources to create great solutions. Google itself even taught marketers to switch to automation. It's not like Email Marketing List machine learning learns which users will be best for us and is therefore able to scale the campaign? AG Machine learning learns better than humans. Recently it even turned out that machine learning detected breast cancer better than doctors. But for artificial intelligence to work we must have technology and properly aggregated data. In Google's tool it is not always simple and cheap.
Therefore these opportunities will not be available to every ecommerce business. MM So at the moment attribution is something abstract not used in practice? A marketer's toy just like Big Data was a few years ago? AG Yes it's a bit of a Holy Grail. Everyone is talking about it and would like to use attribution but only a few have the resources and knowledge. I think the key step is to start using it in practice. Only this will enable us to move to the next step for attribution to become common in use and therefore simpler.
When it comes to this trend Google and Facebook have the greatest financial and programming resources to create great solutions. Google itself even taught marketers to switch to automation. It's not like Email Marketing List machine learning learns which users will be best for us and is therefore able to scale the campaign? AG Machine learning learns better than humans. Recently it even turned out that machine learning detected breast cancer better than doctors. But for artificial intelligence to work we must have technology and properly aggregated data. In Google's tool it is not always simple and cheap.
Therefore these opportunities will not be available to every ecommerce business. MM So at the moment attribution is something abstract not used in practice? A marketer's toy just like Big Data was a few years ago? AG Yes it's a bit of a Holy Grail. Everyone is talking about it and would like to use attribution but only a few have the resources and knowledge. I think the key step is to start using it in practice. Only this will enable us to move to the next step for attribution to become common in use and therefore simpler.