A customer base is a powerful tool for developing a company and a way to increase sales. Collecting customer data helps you better understand your customers, improve communication with them, and increase profits. In this article, we will take a closer look at the benefits of collecting data, as well as how it can be collected.
Why collect a client base offline
Knowing your customers is an important part of your business improvement strategy. The more information you know about your audience, the easier it will be to understand what needs to be changed in your brand and what needs to be given special attention. In addition, collecting data can help you make communication with customers more personalized.
With proper use of information, the results of work can improve malta phone number library both the sales and marketing departments. Managers will be able to sell more, that is, successfully fulfill the plan and bring additional revenue to the company. Marketers, having studied information about clients, will be able to get to know them better and offer a suitable product, change the promotion strategy.
There are many ways to collect customer information, and in this article we will discuss them.
Types of customer data
A customer base is a set of data that contains information about customers and buyers who have ever purchased a product.
What does customer base storage look like in Passteam?
The first thing to consider is what information you can collect. There are many types of data, but here are the most important and useful ones.
Personal data
Personal data includes:
age of the client,
ethnicity,
income,
socio-economic status,
education,
marital status,
place of residence.
These data points provide a basic customer profile and show who your target audience is.
Preference data
By collecting this type of data, you can learn what your customers like, how loyal they are to brands, and how price sensitive they are.
You can also guess why customers choose you:
because of the price,
certain products,
loyalty to your brand.
Behavioral data
This is all the data about how the customer interacts with your store:
purchase history - that is, what, when, where and how the customer buys from you,
about the frequency of visiting your establishment,
whether customers shop online or offline,
whether they buy goods at full price or wait for sales,
how much time they spend browsing your app,
what products they buy.