For example, if you are going to launch three brand marketing How did campaigns next month, and these marketing campaigns will use 15 online media, you will input the budget allocated to each of these media, the form of advertising, the main content of the promotional creativity, and other information into the MMM model, and the model will then give you its prediction, telling you how much your sales can increase next month.
What So awesome? How did
MMM is essentially a forecasting method. The reason deploy: what it means in the programming world why it can help you make output forecasts based on your media placement is that it has accumulated a large amount of data on a brand’s past marketing, advertising, and brand sales. It also establishes statistical relationships between these data through mathematical statistical methods such as regression models or decision tree models.
Or to put it simply, it is to use past data to summarize how to return assets abroad: a lawyer’s perspective on special confiscation, practice and challenges patterns and use these patterns to predict the future.
You may question
Isn’t this nonsense? How can this be an accurate prediction? !
Yes, your doubt is reasonable. Because you believe that is text services no there are too many variables that affect sales, and it is definitely not just marketing that plays a role. The state of the national economy, the quality of the product, the number of promotions, consumer preferences, and even the weather and unexpected wars will all affect the final sales. Is it just an MMM model? Too simple, too simplistic!
Taking these doubts into consideration, today’s MMM model has included as many variables that affect sales as possible into the model’s algorithm, and even incorporated the latest AI technology into it. But, alas, here’s the problem. No matter how hard you try, you can’t exhaust these variables.
