When sales aren't going well, you need to find out what the cause is and come up with a solution.
Sales data analysis is an effective way to do this. However, some people may think, "I don't understand why we need to do data analysis in sales," or "I don't know how to do data analysis."
In this article, we will introduce methods, frameworks, and useful tools for analyzing sales data.
If you want to know how to analyze data or have problems with sales, please read this article.
Sales data includes various information such as customers, cases, activity history, etc.
However, some people may not understand why data analysis is necessary for sales activities.
Here we will explain in detail why data analysis is necessary.
Data-backed sales activities
If you can accumulate sales data, it becomes easier to UK WhatsApp Number List understand the reasons for failures and successes, so you can identify problems and consider ways to improve.
In traditional sales activities, all information was in the salesperson's head.
However, there is a limit to the amount of information that can be retained in one's head, making it difficult to understand "what caused the failure" or "what led to success." Data analysis allows for the creation of measures backed by numerical data, enabling
more efficient sales activities .
Ability to quickly detect customer needs
Data analysis makes it possible to detect customer needs.
By accumulating data on customer purchase history, it is possible to understand which products are selling well and which age groups tend to sell well.
By analyzing customer data, you can quickly identify customer needs and take measures to increase sales .
Sales data can be shared
Another reason is that sales data can be shared among teams.
In traditional sales, all information is held by one person, which can lead to problems such as personalization.
If the work is personalized, it will be difficult for other staff to respond to customers when the person in charge is not there, and there is also a possibility that handover will be missed.