7 customer data types in insurance (with tips for collecting data) | EasySend (2024)

Insurance companies are in the business of managing risk. To do this effectively, they need to have a clear understanding of their customers.

Yet, there is a lot of friction around customer data collection. Any process from quote and bind to claims management can be a potential barrier. Many insurers still rely on paper forms and phone calls to collect data. This process is not only time-consuming, it’s also error-prone.

Insurance companies need to adopt a more modern approach to data collection that is frictionless for the customer and efficient for the business. In this post, we will discuss 7 types of customer data that are important for insurance companies, and tips for collecting this data.

The goal is to make the customer experience as smooth as possible while also collecting the data you need to manage risk. Here are seven customer data types that every insurance company should collect:

In most cases, it is the insurance company that holds power and the customer who feels like they are giving up their privacy.

There are many different types of data that insurance companies can collect about their customers. Here are seven of the most important customer data types in insurance:

1. Personal information.

This includes a wide range of data points and is usually collected when a customer first applies for coverage.

  • Contact information: This includes names, addresses, phone numbers, email addresses, and other contact information. It’s important to collect as much of this information as possible so that you can reach out to customers when necessary.
  • Financial information: This includes income, assets, debts, and credit scores. This information is important for assessing risk and determining premiums.
  • Medical information: This includes health history, current health status, and any pre-existing conditions. This information is important for underwriting purposes.

2. Policy information.

This type of data includes the details of a customer’s policy, such as the type of coverage, the effective date, and the expiration date. This information is important for servicing the policy and managing renewals.

However, policy information can also be used to proactively reach out to customers. For example, you can use policy information to remind customers of their upcoming renewal date or to offer them discounts on new products.

3. Claims history.

This is a record of all the claims that customers have made with your company. It includes the date of the claim, the type of claim, and the outcome. Claims history is important for underwriting and risk management.

4. Payment history.

This is a record of all the payments that customers have made to your company, including the date of the payment, the amount, and the method of payment. Payment history is important for customer service and accounts receivable.

7 customer data types in insurance (with tips for collecting data) | EasySend (1)

5. Interaction history.

This is a record of all the interactions that customers have had with your company, including phone calls, emails, live chats, and social media messages. Interaction history is important for customer service and marketing.

6. Signatures.

These can be either physical signatures or digital signatures. They are important for legal and compliance purposes. Today, more and more insurance companies are using digital signatures, which are easier to collect and store. Signatures are required to bind coverage and to make changes to a policy.

7. Agent information.

This includes the name and contact information of the agent who sold the policy to the customer. It’s important for companies to keep track of their agents so that they can be properly compensated and held accountable for their performance.

7. Attachments.

These can include photos, videos, or documents that customers have attached to their accounts. Attachments are important for customer service and claims processing. Often, they can be helpful in resolving customer issues.

Tips for collecting customer data in insurance

Insurance companies need to collect all of this data in order to manage risk effectively. However, it’s important to keep in mind that customer experience should always be a top priority. When it comes to collecting customer data, it’s important to strike a balance between being too intrusive and not collecting enough information.

Here are a few tips to help you strike the right balance:

  1. Make it easy for customers to update their information. Customers' contact information, financial situation, and health status can all change over time. It’s important to make it easy for customers to update their information so that you always have the most accurate data.
  2. Digitize data intake: Insurance companies have a lot of paper documents. To make data collection more efficient, it’s important to digitize as much as possible. This will make it easier to store, search, and share customer data.
  3. Get consent before collecting sensitive data: Before collecting sensitive data, such as medical information, it’s important to get the customer’s consent. This will help build trust with the customer and ensure that you are collecting data ethically.
  4. Use data collected from other sources: In addition to collecting data directly from customers, insurance companies can also use data from other sources, such as public records, credit reports, and medical records. This can help to supplement the data that you already have and give you a more complete picture of your customers.
  5. Be transparent about how you use customer data. Customers should always be aware of how their data is being used and why it’s being collected. Insurance companies should have a privacy policy explaining how customer data will be used.
  6. Keep customer data secure. Customer data should always be stored securely to protect customers’ privacy. Insurance companies should have security measures in place to prevent unauthorized access to customer data.
  7. Integrate all sources of data. Insurance companies should integrate all sources of customer data, including data from other departments, to get a complete view of the customer. This can help to improve customer service and make it easier to resolve customer issues.

It’s important for insurance companies to collect accurate and up-to-date customer data. By following these tips, you can ensure that you’re collecting the right data while maintaining a high level of customer service.

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7 customer data types in insurance (with tips for collecting data) | EasySend (2024)

FAQs

7 customer data types in insurance (with tips for collecting data) | EasySend? ›

By analyzing various data sources such as customer demographics, health records, driving history, and property information, insurers can evaluate the likelihood of a claim and set the appropriate coverage and pricing.

How to collect information for insurance? ›

Here are some examples:
  1. Online forms: are the most common digital method of data collection in insurance. ...
  2. Email attachments and PDF forms: Email attachments and PDF forms are similar to online forms, but they require the customer to download the form, fill it out, and then send it back to the insurer.

What are the data sources for insurance? ›

By analyzing various data sources such as customer demographics, health records, driving history, and property information, insurers can evaluate the likelihood of a claim and set the appropriate coverage and pricing.

How to get insurance data? ›

Insurers can gather data from information you give them, via an online form, a price comparison website, or from other sources. One example where data is gathered from alternative sources can be through data brokers, which are companies that collect data from multiple sources and anonymise it.

How does the insurance industry use analytics to manage risk as they insure their customers? ›

There are many practical applications for data analytics in insurance. These include mapping risks, setting pricing, targeting prospects, tracking sales and service, analyzing claims, detecting fraud and studying consumer behavior.

How is insurance data collected? ›

Many insurers still rely on paper forms and phone calls to collect data. This process is not only time-consuming, it's also error-prone.

When should insurance information be collected? ›

Verify Insurance at First Contact

As soon as the appointment is scheduled, a patient insurance check should be completed immediately. Obtaining eligibility information upfront prevents issues later in the revenue cycle and gives staff a heads up on any errors that they'll need to solve.

Is there a database for insurance? ›

All-payer claims databases (APCDs) are large State databases that include medical claims, pharmacy claims, dental claims, and eligibility and provider files collected from private and public payers. APCD data are reported directly by insurers to States, usually as part of a State mandate.

How do I create a content list for insurance? ›

Here's a quick reference list of the type of information you should include in your home inventory list:
  1. An in-depth description of the items. ...
  2. Make, model, and/or serial number of the items.
  3. Date of purchase, receipts and photos.
  4. Estimated replacement cost if you bought it today. ...
  5. Appraisals at time of purchase.
Apr 1, 2024

What is external data in insurance? ›

It is data about actual behaviour, collected real time, and enables to reduce asymmetry of information with customers and better assess risk circ*mstances. Insurers may benefit from reducing anti-selection or mis-pricing a particular risk.

How is data analysis used in insurance? ›

Data analytics create new capabilities that empower insurers to optimize every function in the insurance value chain with the help of data-driven decision-making. It can also analyze a customer's risk and determine which client is trustworthy or may cause great loss.

What is an insurance data analyst? ›

What is insurance data analytics? Insurance data analytics is the collection and analysis of insurance-related data to mine actionable insights that can help drive business decisions. Data and analytics have driven pricing and claims-related business decisions for decades.

What is data analytics in simple words? ›

Data analytics converts raw data into actionable insights. It includes a range of tools, technologies, and processes used to find trends and solve problems by using data. Data analytics can shape business processes, improve decision-making, and foster business growth.

How do I make a list of items for an insurance claim? ›

How to Inventory Household items: 9 Steps to Create Your Home Inventory
  1. Create folders. Start by doing a walk-through of your home, making sure to hit every room in the process. ...
  2. List your items. ...
  3. Add notes. ...
  4. Include documents. ...
  5. Take photos. ...
  6. Record a video. ...
  7. Attach a home appraisal. ...
  8. Create a backup copy.
Apr 1, 2024

What information do you need to provide for insurance? ›

The information that's needed to get insurance is personal details including your full name, address, driver's license number and Social Security number. Carriers also want to know about your driving record and the make, model, year, mileage and VIN of your vehicle.

How do I collect my insurance policy? ›

Filing a Claim

To file a claim, the beneficiary will need to notify the insurance company's claims department. The claims department then sends a form for the beneficiary to complete and return along with the policy and a certified copy of the insured's death certificate.

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