Global Contents Insurance Market 2019 By: Allianz, AXA, Nippon Life Insurance, American Intl. Group, Aviva, Assicurazioni Generali, Cardinal

The Contents Insurance market has been showing Reliable growth momentum and Vital Dynamics of Contents Insurance Industry Market at national and international levels from some previous years. Though it is anticipated to exhibit more Effective performance during the forecast period of 2019 to 2025 as factors such as rapidly growing Contents Insurance demand, product awareness, consumption tendencies, technological advancements, ever-changing market trends, raw material affluence, and effect of enlarging population on development of market

Spotlight

Federated National Insurance Company

Founded in Florida in 1992, we are committed to providing fair and competitive pricing coupled with exceptional customer service. Federated National Insurance Company currently holds a Financial Stability Rating of “A” (Exceptional) by Demotech, Inc. and an A+ by the Better Business Bureau.

OTHER ARTICLES
Insurance Technology

3 Signs Your Policy Management Software is Not a Good Fit

Article | July 14, 2022

Policy management assists insurance companies in staying on track to meet their client objectives by selling more policies and collecting more premiums. However, organizations using inadequate or fractured policy management software may be leaving a lot on the table. According to a study by Accenture, automation could save the insurance industry a cumulative $5-7 billion. Are you facing hurdles in processing policies? Are some of the tasks like policy renewal, policy issuance, policy binding etc., that are supposedly automated still taking up time and resources away from the company? If so, it might be time to rethink your policy management. Here are three signs to look out for when this happens. There are Hiccups in Your Policy Processing Processes Being able to make universal changes and synergize different processes is a crucial aspect of policy management. If your insurance policy management tool isn’t able to keep up with the information or automate tasks like making updates and syncing information in real-time, it may be time to reconsider it and seek a solution that integrates Robotic Process Automation, or RPA. RPA tools enable organizations to reduce processing time for issuing, updating and cancelling a policy. The Underwriting Stage Takes Up a Lot of Time Underwriting can be a tedious, time-consuming process. With modern policy management solutions, it is possible to automate a number of tasks within underwriting. If your application is contributing to negligible or no reduction in the time it takes for underwriters to process everything. From the applicant’s credit history and scores to savings and loos-run reports, the underwriter needs to manually process this data. However, before that, the data needs to be reached in a streamlined manner. If your platform doesn’t support intelligent automation, digitalizing the underwriting process isn’t possible, in turn hampering the ability to access information when needed. It is Difficult to Keep Up with Claims Processing Claims management is an integral part of any insurance workflow, and its automation adds immense business value. If your claim settlement process is slow, filled with bottlenecks, and is impacting consumer experience, your existing platform isn’t doing any favours. Advanced claims processing solutions let you integrate features that align with the workflows of the insurer. Customer Experience Isn’t Up to the Mark Poor policy management processes are always reflected in the overall customer experience. Are you inundated with customer complaints, feedback about slow processing, and injured employee morale from poor performance and higher work load? The key is to take a good look at your current workflow and how it is affecting the end consumer. In a high-stress service like insurance, nothing less than an impeccable customer experience is a base expectation. The lack of responsiveness in your communication can result in a high customer churn rate. With a good policy management solution, your teams are able to stay on track and automate tasks when needed in order to keep customers updated. Final Word The insurance sector is a fast-paced business world and requires insurtech solutions that can handle the tremendous pressures and demands of customers. The four signs indicate that it might be time to introspect and, if needed, jumpstart your digital transformation journey.

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Automobile Insurance, Insurance Technology

Unlocking the potential of deeper customer-agent-insurer relationships

Article | December 19, 2022

Mr. and Mrs. Garcia purchased their first life insurance policies from their agent more than a decade ago, when their eldest son was born. They soon bundled their home and auto policies for a discount. A few years later, when the Garcias started a small business, they worked with their agent to establish commercial insurance. As the business thrived, the family set up fixed indexed annuities and mutual funds to put their growing savings to work. All of their policies and accounts are easily accessible via an online platform, and when a new need arises, they simply message their agent to discuss a new policy. The agent also reaches out regularly to make sure the Garcias’ evolving needs are always met. The experience of the hypothetical Garcia family shows how simple it would be for insurers to build deeper customer relationships. But many insurers continue to struggle to develop relationships with their customers that span multiple products. In fact, limited successes in this area have convinced some insurance executives that there is limited value in cross-sales initiatives. In our experience, however, a more coordinated approach can unlock huge opportunities to meet customers’ comprehensive needs through a principal adviser.

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Core Insurance, Risk Management

Coronavirus and insurance: threat or opportunity?

Article | August 4, 2022

The world is facing an unprecedented situation like never before. In the span of a couple of weeks, a visually undetectable virus has wreaked havoc and driven everyone home. COVID-19 had led offices to close, the economy to slow down, and has isolated us in our homes. Zooming in on the insurance industry, the effects haven’t gone unnoticed here either. Since no one was prepared for a pandemic of this scale, people are scrambling to know what their insurance covers. Those who weren’t covered are enquiring if they can get covered now. Travel and health insurance are the specific types are making the most news.

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Insurance Technology

Time to Overcome Barriers in Your Decision-Making with Data Analytics

Article | May 20, 2022

A quick Google Trends search on data reveals that data analytics, data and analytics, data analysis, and predictive analytics have steadily grown in popularity among businesses across industries. These terms peaked when business leaders searched for ways to increase ROI and reduce business costs and tech-based investments. The insurance industry is amongst the industries actively leveraging data analytics. The rising importance of analytics in insurance has made CMOS take note too. As agility became more important in the insurance industry, more than 85% of global businesses shifted to a data-driven model. The purpose of taking you back is to emphasize that, as a CMO, now you need to churn accurate data and turn it into relevant information. This is a necessary model to practice to make the right decisions or will improve the decision-making process. Without data analytics, you are deciding in a void, and that’s not considered good practice. Forrester reports that 41% of insurance companies faced challenges in extracting data and making decisions based on it in 2020. Take a look at how and what you can do with insurance analytics to cater to better insights into your decision-making process and, finally, ROI generation. Bring Data to These Key Levels of Departments Marketing Analytics in insurance raises the bar in terms of marketing. As you know, marketing results frequently fluctuate, making data insights challenging to capture. CMOS who base their decisions solely on outcomes usually loses sight of making sound decisions due to unstructured data. Therefore, it is essential to have an aligned platform for data analysis in insurance. To begin with, marketers must understand the various types of data analytics available. Most insurance marketers employ descriptive, predictive, and prescriptive analytics, among others. This will assist them in strategizing based on continuous data insights from various sources for any given initiative. Sales Sales leaders can also improve how they spend their time by using data analytics to create more accurate sales forecasts. However, the question is, how will they do it efficiently? CRM software is the answer and solution to them. The software performs best because of its analytical capabilities in combination with data visualization, particularly predictive functions. It generates enormous amounts of data on customer interactions, which can then be used to inform decisions. You can assemble relevant data and use it to make some decisions, such as: Acquisition and management of leads Lead segmentation Sales funnel optimization There is enormous value in optimizing productive data by focusing on prospects likely to become loyal customers. Operations Utilizing data analytics in insurance boosts insurance operations. Small changes help to align a wide range of core processes. You can access data obtained from operations, observe key aspects of the overall processes, and make appropriate decisions. A targeted, timely, and data-driven approach will help you make decisions about these key functions, which can lead to business growth in the long run. Bain's research in 2019 reports that seventy insurers were polled. They say data analytics will reach 58% in the marketing funnel and 45% in business operations. Begin with Overcoming Barriers to your Decision-Making Process Use Data to Identify Customer Patterns Information from data can identify patterns. As mentioned above in the sales section, CRM's predictive modelling and the popular Google Analytics' descriptive overview are the two best platforms for identifying customer patterns. What is the best way to get pertinent data? Data mining is the answer to it. Do you want to know about it? Then read data mining for pattern evaluation now! As a CMO, you're probably aware that behavioral patterns are highly predictable and can sometimes result in unsatisfactory outcomes. This occurs when you are unable to obtain relevant data. And you end up performing ineffective marketing activities. To assist you in overcoming it, an AI-enabled platform can reduce the level of effort and provide the necessary data to study your customers' patterns in real-time. This is how you will notice a significant increase in sales. According to research by McKinsey and Company, automation saves 43% of insurance employees’ time. Segmenting Sales Plans Following the establishment of your customers' patterns, segmenting the insurance sales plan is a necessary step. In this process, analytics provide detailed information about customers, allowing you to make decisions about sales functionalities. This will undoubtedly reduce the time, energy, and effort you previously spent. Accurate customer segmentation and sales forecasting can also help tailor marketing efforts, improve the sales funnel, and keep sales strategies in check. When Media 7 contacted Vishal Srivastava, Vice President (Model Validation) at Citi, here’s what he said about data segmentation through data analytics. CMOs must ensure that adequate data quality checks have been performed, The goal is to ensure a scientific approach to data segmentation, sampling methodology, and data outliers, which can significantly impact revenue forecasts.” Pricing & Savings Analytics in insurance marketing can help CMOs make cost-cutting decisions and become more cost-effective in marketing efforts. It can set price ranges based on historical, current, and predictive performance. Also, analytics will help you figure out how to price things in the future, which will be good for ROI. Keep Improving with Data to Stay Abreast with The Decision-Making Process Better data organization in your business boosts productivity." Warren Buffett, an American business magnate, investor, and philanthropist. This phase is best suited to the current business environment. Implementing data analytics in insurance now will open up tremendous opportunities in the future. To make the most of them, you, as a CMO, must stick to a data-driven model for marketing actions. Aside from that, it appears that the data analytics you select for your business must be capable of informing and driving performance. Performances ranging from risk assessment to sales forecasting and a plethora of actionable insights assist businesses in thriving. Frequently Asked Question How are data analytics used in insurance companies? Data analytics empowers insurers to optimize each function and also assess risks. It also identifies trustworthy customers, which further boosts engagement. What does data analytics mean in insurance? Data analytics empowers insurance professionals by providing them with the business intelligence to understand their customers better, build better products and services, and thus, boost business growth. How are insurance companies using data? Insurers can use data to gain insights from customers’ profiles. They can review their history, behavioral pattern, and marketing needs to develop strategies and provide marketing services.

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Spotlight

Federated National Insurance Company

Founded in Florida in 1992, we are committed to providing fair and competitive pricing coupled with exceptional customer service. Federated National Insurance Company currently holds a Financial Stability Rating of “A” (Exceptional) by Demotech, Inc. and an A+ by the Better Business Bureau.

Related News

Valued Policy Law and Total Loss

inredisputesblog | May 21, 2019

Typically, a fire insurance policy pays a policyholder for the actual cash value or the replacement value of the property destroyed. But in 20 states, if there is a total loss, the amount the insurer must pay is equal to the value of the property at the time the insurance policy was issued. What happens if the policy covers a multi-building complex and one of the buildings is destroyed? The Eighth Circuit Court of Appeals recently addressed this issue. In Norwood-Redfield Apartments Limited Partnership v. American Family Mutual Ins. Co., No. 18-2618 (8th Cir. May 16, 2019)(Unpublished), the appeals court affirmed a judgment in favour of the insurance company denying the policyholder’s claim to recover the full value listed on the policy of an entire complex of buildings when only one of the buildings was destroyed. The policyholder sued its insurance carrier after a fire destroyed one of the buildings out of 32 in the complex. The insurance carrier paid nearly $3 million for the loss, but the policyholder wanted the policy limits of over $31 million.

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Valued Policy Law and Total Loss

inredisputesblog | May 21, 2019

Typically, a fire insurance policy pays a policyholder for the actual cash value or the replacement value of the property destroyed. But in 20 states, if there is a total loss, the amount the insurer must pay is equal to the value of the property at the time the insurance policy was issued. What happens if the policy covers a multi-building complex and one of the buildings is destroyed? The Eighth Circuit Court of Appeals recently addressed this issue. In Norwood-Redfield Apartments Limited Partnership v. American Family Mutual Ins. Co., No. 18-2618 (8th Cir. May 16, 2019)(Unpublished), the appeals court affirmed a judgment in favour of the insurance company denying the policyholder’s claim to recover the full value listed on the policy of an entire complex of buildings when only one of the buildings was destroyed. The policyholder sued its insurance carrier after a fire destroyed one of the buildings out of 32 in the complex. The insurance carrier paid nearly $3 million for the loss, but the policyholder wanted the policy limits of over $31 million.

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