A digital customer data intake process can help insurers save time and money by automating the data entry process. This can free up resources that can be used to improve other areas of the business, such as claims processing or customer service. In addition, a digital customer data intake process can help insurers to capture more accurate and up-to-date customer data. This is because digital data entry methods are less likely to result in human error.
What is a combined ratio, and how is it calculated?
The combined ratio is calculated by adding claims losses plus expenses, divided by the total premiums collected. A combined ratio of less than 100% means an insurer is profitable. Anything over 100% indicates a loss.
[.emph]Combined Ratio = (Claim-related Losses + Expenses) / Earned Premium[.emph]
P&C insurance trends 2023
It’s estimated that in 2023, the combined ratio for P&C insurers will continue to rise. This is due to a number of factors, such as an increase in frequency and severity of natural catastrophes, as well as an overall increase in claim activity. Here are some trends that are expected to impact combined ratios in 2023:
1. Entering the hard market
The P&C industry in 2021 was barely profitable, with a combined ratio of 99.5. In 2022, the combined ratio for the industry is forecast to be 100.7, a worsening of 1.2 points, driven by a significant deterioration in the personal auto line. Claims have risen due to recent events such as the pandemic, inflation, war, and natural disasters. In response, insurance providers must increase premiums to stay afloat. Analysts expect the hard market to persist due to multiple factors:
- An increase in frequency and severity of natural catastrophes
- An overall increase in claim activity
- A rise in expenses, such as reinsurance costs
- Pressure on investment income
According to the latest underwriting projections by actuaries at Triple-I and Milliman, the loss pressures and a hard P&C market are expected to continue in 2023 due to inflation, supply chain disruptions, and increased geopolitical risk (source: iii).
According to Goldman Sachs, the hard insurance market will likely continue in 2023, saying that "inflation, geopolitical uncertainty, and natural catastrophe will maintain upward pressure on pricing."
2. Focusing on writing profitable policies
As the market continues to harden, insurers are focusing on writing profitable policies. To do this, they will need to have a clear understanding of which policies are most likely to result in a loss. They can then use this information to either avoid writing these types of policies altogether or to price them appropriately.
Data analytics is playing an increasingly important role in helping insurers to identify and assess risk. By using data analytics, insurers can gain a better understanding of their customer base and the risks they face. This information can then be used to develop more effective underwriting criteria.
3. Improving operational efficiency
As insurers focus on writing profitable policies, they will also need to find ways to improve operational efficiency. One way to do this is to automate repetitive and time-consuming tasks, such as customer data entry. Automation can help insurers to free up resources that can be used to improve other areas of the business, such as claims processing or customer service.
4. Focusing on policyholder experience
Policyholders now have more choices than ever before, and they are increasingly likely to switch providers if they are not happy with the service they receive. As a result, insurers need to find ways to differentiate themselves from the competition. One way to do this is to focus on the policyholder experience. By providing a seamless and positive customer experience, insurers can stand out from the crowd and win more business.
5. Improving fraud detection and prevention
Fraudulent claims cost the insurance industry billions of dollars every year. As a result, insurers are under pressure to find ways to improve fraud detection and prevention.
Data analytics can play a vital role in helping insurers to identify fraudulent claims. By using data analytics, insurers can gain a better understanding of claim patterns and the types of fraud that are most commonly committed. This information can then be used to develop more effective fraud detection and prevention strategies.
6. P&C insurers need to focus on technology
Technology is playing an increasingly important role in the insurance industry. Insurers are using data analytics, and artificial intelligence (AI) to improve underwriting, claims processing, and customer service. In order to stay competitive, insurers need to invest in the latest technology and make sure that their employees are properly trained to use it.
The insurance industry is facing a number of challenges
The insurance industry is facing a number of challenges, including the need to improve operational efficiency, the hardening market, and increased competition. However, by focusing on the areas outlined above, insurers can overcome these challenges and position themselves for success in the future.
So how can insurers stay ahead of the curve? The key is to focus on improving your company's profitability. Here are four ways to do that:
- Use data analytics to identify and assess risk
- Automate repetitive and time-consuming tasks
- Focus on the policyholder experience
- Improve fraud detection and prevention
By focusing on these four areas, insurers can improve their bottom line and position themselves for success in the future.
Improving profitability and reducing combined ratios with digital data intake in 2023
The focus on profitability will be even more important in 2023 as the industry enters what is known as the ‘combined ratio correction’. It is imperative that insurers focus on improving their bottom line in order to not only survive, but to also thrive during this time.
There are three ways to improve your profitability and cut the combined ratio: increase premiums, reduce claim losses, and reduce expenses.
Reducing claim losses
Reducing losses can be difficult, but there are some things you can do to lower claims payouts. One way is to focus on prevention. This means improving risk management and safety protocols to help prevent insurance events from happening in the first place.
Underwriting strategies are another way to lower claim losses. This includes using data and analytics to identify high-risk customers and either declining to insure them or charging them higher premiums.
Reducing operational expenses
Another way to reduce losses is to reduce your expenses by improving your efficiency. This means streamlining the way you collect customer data and getting rid of paper-based processes.
Customer data collection remains a labor-intensive and paper-driven process for most insurers, often involving manual data entry of customer information. This inefficient process leads to errors, resulting in overpayments or delayed payments. It also creates a bad customer experience, as customers have to wait longer to receive their payouts.
Operational inefficiencies lead to inflated costs, especially in call centers where customer service representatives (CSRs) spend much time on the phone trying to gather information from policyholders.
According to a recent study, automating customer data intake in insurance can reduce call center operating costs by 30% (source: iii).
Reducing loss adjustment expenses
Loss adjustment expenses (LAE) are the costs associated with processing claims. They include expenses such as investigating and adjusting claims, as well as legal and defense costs. LAE can be reduced by automating the claims process and making it easier for customers to submit their information. The main reason for this is that digital data is more accurate than manual data entry, so there are fewer errors.
In addition, digital data intake makes it possible to collect data from multiple sources, which can help improve the accuracy of claims. For example, if a customer is submitting a claim for a car accident, you can collect data from the police report, the insurance company's database, and the customer's own records.
This information can be used to help adjusters make better decisions about how to settle claims, which can lead to savings for the insurance company.
Increasing premiums by digitizing quote and bind processes
Improving quote-to-bind times, making it easier for customers to submit their information, and using data and analytics to help identify upsell and cross-sell opportunities will help you write more business. Improving digital capabilities to make it easier for customers to do business with you will help you write new business and keep your existing policyholders.
Improving quote-to-bind ratio with digital customer data collection
The quote-to-bind ratio is the number of quotes that turn into binding policies. A high quote-to-bind ratio means that your company efficiently converts quotes into business. A low quote-to-bind ratio indicates problems in the quoting process, which can lead to lost business. There are several ways to improve your quote-to-bind ratio, but one of the most effective is to make it easy and seamless for customers to submit their information.
A digital platform makes it easy for customers to submit their information and speeds up the quoting process. It also allows you to pre-fill forms with data from other sources, which reduces the chances of errors. Digital data collection also makes it easier to identify upsell and cross-sell opportunities, as you can see what products customers are interested in and offer them related products.
Identify upsell and cross-sell opportunities
Digital data is essential for insurance companies to identify upsell and cross-sell opportunities and automate customer communications. Upselling is the process of selling a more expensive product or service to a customer, while cross-selling is the process of selling a related product or service.
For example, if a customer buys a life insurance policy, you might upsell them by offering an annuity or a rider. Or, if they buy a car insurance policy, you might cross-sell them by offering a homeowners insurance policy.
Data and analytics can help you identify which products customers are interested in and offer them related products. Digital data intake ensures that you have accurate and up-to-date data, which is essential for effective upselling and cross-selling.
Using digital data collection to improve combined ratios
The combined ratio is a measure of an insurance company's profitability. Maintaining profitability in a hard market requires disciplined underwriting, accurate modeling of individual risks in portfolios, diversifying lines of business, and using reinsurance to limit potential losses.
Ten ways digital data intake improves profitability in insurance
- Reduces the cost of customer data collection
- Improves data integrity and accuracy of customer data
- Makes automation downstream possible
- Reduces fraud and boosts underwriting profits
- Transforms the customer experience
- Helps identify upsell and cross-sell opportunities
- Deflects to self-service from your call center
- Improves the quote-to-bind ratio
- Automates customer communications
- Allows for real-time customer segmentation
As combined ratios come into focus in the hardening market, insurers are turning to digital data and analytics to help improve their combined ratios. Digital data intake makes it possible to collect data from multiple sources, which can help improve the accuracy of claims. For example, if a customer is submitting a claim for a car accident, you can collect data from the police report and the insurance company's database,
It also requires transforming customer data collection processes to reduce costs and boost premiums. A digital data platform can help insurance companies improve their combined ratios by making it easier to collect accurate data, identify upsell and cross-sell opportunities, improve the quote-to-bind ratio, and automate customer communications.
EasySend is a no-code platform that helps insurance companies improve their combined ratios by making it easy to collect accurate data and automating customer communications. With EasySend, you can quickly transform your customer data collection processes to boost profitability and improve the customer experience. Schedule a demo today to see how we can help you improve your combined ratio.
