Customer data analysis is an analysis method performed to analyze personal information such as the user who purchased a product and provide a more appropriate means.
Companies collect personal information for analysis and marketing use. If you sell on the internet, you can deliver the item just by address and name, but there is space to enter your occupation and age.
The purpose of creating unwanted fields is to get as much information as possible in order to consider approaches and countermeasures.
The main personal information we collect is as follows.
・Street address
・mail address
・ Purchase details
・Profession
Knowing your address allows you to take a particular approach. If you know your profession, you are more likely to come to the store when you approach that profession when selling products that you can use at work.
If you know your email address, you can market directly. Knowing what you are buying will help you decide what you are interested in.
Analyzing customer data is essential because the more customer information you have, the wider your approach.
Benefits of analyzing customer data
Understanding the benefits can help you understand why customer data analysis is done.
Understand the current situation
By analyzing customer data, you can understand the current situation.
Understanding what you sell and what you have in stock from your customer data can help you improve your strategy.
I know which items are for sale and which ones are in stock, but I don’t know why they aren’t for sale.
In order to take better measures, it is essential to analyze customer data to understand the current situation.
Improvement of measures
By analyzing the current situation, you can identify the problem and consider the next solution.
Even if the same measures are taken forever, the effect will not change, so improvement is needed.
Once you have analyzed your customer data for more information, you can consider which data-based action to take.
Customer data analysis needs to be done to improve the strategy and achieve good results.
Sales growth
By repeatedly grasping the current situation and improving the countermeasures, you can find effective countermeasures. Analyzing customer data can help you better understand your customers and consider ways to connect with repeaters.
Customer data analysis is indispensable because there is no correct answer in marketing and good results can be expected by improving measures.
We collect and analyze customer data and take action to meet your needs.
Important points when analyzing customer data
If you want to analyze customer data, take some time after taking new steps to aggregate the data.
Even if you collect data about a week after taking measures, you will not be able to obtain accurate information due to the small amount of information. Even if you confirm that the effect is good with the data, it may be because you just took it.
How to sell in a short period of time after taking measures is important data. It depends on the content of the measures and the product, but I think it is better to collect the data for at least several months.
Also, implement all measures at the same time and add up. I’m sure there are some measures that have produced good results, but first try all the measures. It is difficult to determine which measurement is better because it is not possible to collect data for different periods under the same conditions.
You can try all the measures and choose the one that gives the most results under the same conditions. Even if you get good results, the following measures may be better.
When analyzing customer data, first take all steps during the same period and aggregate the data. Budget preparation is also important for companies that are considering many measures.
Please note that if you continue to collect information for a long time, the next measure will be delayed. If data can be aggregated within a certain period of time, we will take new measures to improve it and aim for further profits.
When analyzing customer data
One thing to keep in mind when analyzing customer data is to aggregate data from the general public.
Even if you target your customers and collect data, you will only get biased information. Even if new measures are taken with biased information, it may affect only specific customers, but it is difficult to affect many customers who have visited the store so far.
If you want to focus your analysis on specific customers, you don’t need to identify the number of people, but it’s a good idea to analyze the data first to reach a large number of customers.
All customers who have visited our store so far are interested in your company. All customers who are interested in something can be encouraged to return to the store by promotion.
If you want to collect specific customer data, collect both an unspecified number of customer data and specific customer data. It’s a good option as segmented information is also useful for marketing.
First, let’s collect data from an unspecified number of customers and understand the actual results. Understanding your store’s overall customer base will help you determine what approaches and promotions will yield results.
If necessary, we collect customer data narrowed down by various conditions. The more types of customer data you have, the easier it is to get results because you can create promotions that are tailored to each customer.
