Jun 29, 2022
In Fashion Forum
In digital marketing , we live in the age of data. We can get a lot of incredible information about each user, practically in real time. But now, our challenge is to know how to apply all this information to our marketing objectives. Data science is the discipline that is responsible for processing all this data and converting it into insights that help us improve our marketing. We're still just discovering the tip of the iceberg of what we can do with them, so there's a lot of exciting new stuff waiting for us over the next few years. To whet your appetite, I want to share with you these 10 applications of data science in digital marketing. Do not miss it! Do you want to know how to make your Google Ads Photo Retouching campaigns a success this year ? Click here and see the related course. Discover the trends and news of the Google advertising platform. 10 applications of data science in marketing 10 applications of data science in digital marketing 1) Dynamic pricing strategy Most marketers base their pricing strategy on factors such as product manufacturing cost, margins, and competitor prices. More subjective aspects also come into play, such as the positioning we want to give the brand. Using data science in this process allows us not to have to make estimates by eye and hit the target, adapting the price to what is happening in real time. Thus, we can take into account elements such as the global behavior of the market, the individual preferences of the client, the reactions to previous discounts and a long etcetera. 2) Advanced lead scoring Lead scoring is a technique that allows us to assign a score to each lead based on their probability of becoming a customer, in order to focus our resources on the most profitable contacts. Thanks to data science, we can create advanced predictive lead scoring algorithms that take into account multiple factors to segment your contacts into lists and give them specialized treatment to multiply the chances of conversion.