How to Extract Value From Customer Data?
Customer data
No matter which industry a company is operating in, customer data will always be one of the most critical aspects of building and satisfying its customer base. Customer data indicate their relationship with a business or product. Also, this data includes basic information and behavioral, interactive, and attitudinal tendencies. When a company understands and successfully extracts value from this information, it increases the likelihood of solving its target audience’s problems. If data is mishandled, thus, it can threaten the relevance and longevity of the company.
4 Primary Types of Customer Data
1. Basic Data
Basic information pertains to the surface level data from a customer. When a new client enters a name, email address, phone number, or home address, they enter basic information. It can also include targeted info such as annual income, geographic location, and associated organizations.
2. Interaction Data
Interaction data digs a little deeper into how the customer is engaging with a product or service. It reveals how a customer acts when presented with a website, email, or marketing campaign.
Pageviews, link clicks, bounce rates, email opens, and downloads are all considered interaction data. When a customer engages with content, the customer’s action is tracked, Therefore, can be used to optimize landing pages to increase customer acquisition and retention rates.
3. Behavioral Data
Behavioral data is very similar to interaction data. Except behavioral information specifically seeks to understand what a customer does with a product or service. And when they take measurable action.
What products or services is a customer using, and how are they using it? At what point along the customer journey does a customer typically register, add to cart, buy, abandon checkout, or complete a purchase?
4. Attitudinal Data
Attitudinal data is what people think, want, and feel about a product or service. A customer’s attitude tells a business a lot about what they want, which pain points a company can solve. And, whether or not their service satisfies the customer’s needs.
Ways to Extract Value from Customer Data
Personalized Interactions is Key
If you know that the frequency of potential repurchases is high in your business, you should focus on customizing your products or personalizing your services.
This is because this high level of customization or personalization gives you the opportunity to interact with individual returning customers repeatedly. As a result of which you will be able to collect significant amount of data from them.
Offer Loyalty Rewards
Having a proper loyalty rewards strategy in place is another effective way to extract value from your customer data.
If the products or services you offer quite uniform and cannot be heavily personalized or customized to meet individual needs of customers, or your marketing products or services are purchased frequently, this is an excellent value extraction strategy you can use.
Analyze Patterns
For any customer-oriented business, there are always some data that can be readily and easily extracted.
In fact, general patterns like the length of time your visitors linger on your website, the products or services purchased by them. The number of times an individual customer contacts your customer service, etc. So, it can give you valuable insights on people’s buying preferences and habits.
Use Social Media
With social media widely used by almost everyone, you cannot ignore the fact that you can collect. And extract value from huge amounts of data available on digital social media platforms.
From images to videos to documents, everything that gets posted on social media are all data you can use to find out where the market for your product or digital service is.Thus what your potential customers are looking for.