First, by analyzing data generated in previous periods to identify trends and patterns, companies can get a better idea of which marketing efforts are most likely to generate sales and adjust their strategies accordingly, and there are a number of different factors that can be analyzed to predict sales, including customer socio-demographic data, past sales data and online search data.
Secondly, by understanding which factors are most important in predicting customer interest in their brand, companies can craft marketing messages that resonate with their customers because with the data obtained, these can be customized to the profile of their customers.
Overall, using marketing data to predict sales can help companies save time, money and resources by allowing them to focus their efforts on marketing strategies that are most likely to perform well and achieve better results.
