At this point we come to a conclusion: we must try to obtain as much of our own data as possible so as not to depend on third parties. We must work behind closed doors to build a strong and stable customer base, which allows us to start seeing the data, analyse it and establish strategies based on it. But of course, how do we achieve this?
One of the challenges is to name the customer, that is, to know them and make them feel part of the brand, because this is what makes the difference compared to competitors. Offering customers different options or advantages that interest them is crucial to boost loyalty. Before the change, " you could know exactly who the customer belarus number data was that needed or wanted a specific product, which allowed you to offer them small advantages. However, this process is a little more complicated in this new environment ."
However, questions arise: “ Is data the key? How important is it? ” If you have a lot of data, it is a problem because you cannot use it all, and if you don’t have it, it becomes a problem because you also want to get it. In the end, there is always data that gets lost along the way.
The key is to focus more on aggregate data rather than individual data to find what works best for your business and move from attribution to contribution. These analysis models are increasingly internalized by major brands, and are now beginning to be democratized, as is happening with marketing mix modeling (MMM) models such as Kraz's Athenea .