Category: InsurTech

Is It Wise To Bundle Insurance Policies?

In today’s unstable economy, all of us are thinking about all the possible ways to save up some money each month – reducing fuel consumption, consuming the least amount of electricity, using online discount offers for getting groceries, and what not! But one very important way to save money mostly goes unnoticed by us. Yes, the evaluation of our insurance policies. Most of us have various insurance policies from various companies that can easily be bundled together, and the benefits of bringing them under one roof are astonishing. Some call it multiline discount. Multiline insurance in simple words is a bundled insurance coverage that covers the risks to different exposures and covers all of it under a single contract. Though the concept has been in the rounds for quite some time, however, not many of us are aware of it because of certain reasons. When it comes to insurance, it is dominated by a certain set of habits. When we think of health insurance, we usually end up selecting the same company as our parents or friends. This happens because we prefer familiarity over quality and money. Though this is a simple selection, we often end up with multiple companies covering multiple risks for us, and the price that we pay is huge. Let’s look at the benefits of bundling insurance policies to judge whether bundling is a wise choice, or not. 1. Savings The most obvious and well-known advantage of bundling all your insurance policies under one company is the savings you make. TrustedChoice.com, a leading digital insurance marketing platform, revealed that usually, companies offer a discount rate of 10-15% on bundled policies. Certain companies offer up to 30% discount on each premium if any customer bundles three different insurance policies! So, if two of your insurance policies from two different insurers add up to $2000 annually, upon bundling them you would get a minimum discount of 10% which means you get to save $200 per year. Go on, hurry up and calculate your savings! 2. Centralized Premiumness Apart from the savings, multiline insurance also helps customers enjoy a premium experience. Having all your policies under one roof means that you are no more required to deal with multiple insurance companies or their agents. Bundling policies under a single company means you get one bill and a single point-of-contact who will help you out with all your insurance-related queries and concerns. You also get easy access to all the information about your insurance policies in one place without having to fret over having to log into multiple accounts. This also makes the claims process easier and faster. 3. Hyper-personalized CX Another interesting advantage of bundling is making good use of data analysis to offer unique services to each prospect. Having a one-to-one conversation with a representative from the company or the agent will give them a deeper understanding of your insurance requirements and your financial situation. Therefore, they will be able to offer the right set of policies, look for potential savings, and inform you about great deals and discounts that you can opt for. Making any amendments in any of the policies also becomes easy when you have just one insurance provider managing all of them. This not only ensures that you save a few thousand bucks but also allows you to be stress-free. In conclusion, if you need more than one policy for yourself or the family, it is always better to opt for multiline insurance. And if you are wondering which are the top multiline insurance providers that you should check out, then we have the updated list here.

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Intelligent Machine Learning Model Is Making Us Rethink The Underwriting Process

Choose the right premium, build the right marketing campaign and elevate the value! – insurers are facing challenges maintaining a balance between providing enhanced customer experience and operating at the profit margin. When we talk about the underwriting process and the traditional method, we can see much human intervention and manual paperwork. It can only make the process gruesome! Reports suggest that the key challenges insurance companies face are binding the data and advanced technological capabilities into one to build value in the Insurance Value Chain. A formation of a successful strategy occurs when insurers can identify the business value generated by the ML and how it can be aligned across the business domain. Solutioning to this challenge, today, insurers are joining hands with software development partners to bring a radical change in the sector through early adoption. When we talk about the insurance value chain, we understand the end-to-end process from product development to underwriting and claim processing. As ML is an integral part of data science, so is underwriting for insurance. The ongoing crisis has reinforced the urgency to modernise the underwriting process. The companies that are adopting end to end digitisation of the underwriting process are the ones that are overcoming slowing down factors and modernising the customer journey in the underwriting process. Let us see how the analytics can be leveraged in the underwriting process from reporting to binding policy: Descriptive analytics: Claims are deeply studied and patterns are identified. Based on past historical data, descriptive analytics flags if any new trends emerge.  Predictive analytics: As the process moves, underwriters use predictive analytics to evaluate the pricing competitiveness. It also alerts the underwriter through its risk scoring and assessing model.  Prescriptive analytics: Further underwriter deploys prescriptive analytics to build a model based on the future economic scenario and predicts the future risk of the policies. It applies the advanced statistical model to recommend solutions such as automated underwriting in case of the most predictable risks.  Recently machine learning is leveraged in the underwriting process, thus we have deeply studied the customer journey in the underwriting process to understand how it has improved and provided a seamless experience. Based on it, we have allotted the data science model, which can be leveraged by the insurers to effectively understand the journey and use it to the advantage of it. Submitting the TIFF/JPEG format form: When insurers confirm about digitally submitting the claim documents, they mean they are submitting image format documents. Data scientist deploys tools and models to parse the data and build a structured form.  Analysing the risk: It becomes essential for the underwriter to get a granular view of the risk based on the historical risk and cost drivers. Underwriters are deploying a machine learning model. Based on the data generated from the social media platforms, historical data, and data from a third-party platform, the model assesses and scores the risk accordingly. Also, the classification model segments the customers based on their likings, motivation to purchase, etc., which further helps evaluate the risk and quote the premium well.  Reviewing Rates and options: The rates depend upon the actuaries, and actuaries rely on the risk scoring model. Predictive analytics plays a more significant role when quoting the premium. Collection of the correct data, such as the likelihood of rash driving, sickness, defaulting, and other external data sources, are essential for the risk assessment. After the evaluation, if the underwriters find that the claim outcome is within the risk parameters, underwriters can easily quote the premium without much complexity. Through predictive analytics, underwriters are empowered with confidence due to certainty of risk.  To minimise the underwriting risk, there should be well-defined risk parameters by the underwriters. Predictive analytics is providing statistical reliability and a stable rule-based method for improving pricing decisions. It is also helping insurance companies to perform well at the margin during adverse underwriting environments and at INT. we provide end to end guidance so that our partners effectively manage the dashboard and use the analytics built on an advanced technological model. Book us for the demo!

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Cross-sell Propensity Model To Boost Sales Of Add-On Insurance Products

Are you facing trouble in cross-selling your add-on insurance products? Indeed, it is not a rare challenge that the insurance industry is facing. For the last five years, reports suggested that insurance companies fail to achieve a high conversion rate as they fail to identify customers who are most likely to purchase the product. It is often found that insurance companies, despite having ten products, end up acquiring a customer base for the top two products. It becomes a concerning situation when the rest of the eight products fail to achieve the break-even point. Sustainable revenue growth cannot be achieved if an insurance company fails to increase existing customer “share-of-wallet”.  Advancement of Propensity Model In light of the dripping conversion rate, insurance companies are leveraging propensity modelling for precision marketing. The underlying success of cross-selling products to your existing customer base is by offering them a relevant product. In this process, insurance companies aim to raise customer value.  Propensity modelling is leveraged to identify the future behaviour of the customer based on past data. We can also define it as a statistical scorecard used to identify the customer segment who will most likely respond to the offer.  Let us dig in more to understand the functioning of propensity modelling in the insurance industry. While you were offering motor insurance to your customer, you would also like to offer a few more add on products such as a “zero-depreciation” cover; passenger protects cover, engine and gearbox cover and many more. Now, if you randomly select a customer group and aggressively offer these multiple products, there is a high chance that your effort goes in vain.  In these scenarios, propensity modelling comes handy. In propensity modelling, due to its mathematical approach to conclude and predict future customer behaviour, it has been proved to be highly efficient in identifying the right customer group for direct marketing, over here insurers are also trying to achieve growth in upselling and cross-sell of their products.  Mechanism of Propensity Model In the propensity model, approaching individual customers are substituted with customer segment with similar behaviour. With a statistical model, AI runs through the complex mathematical data and maps the customer with identical behaviour. In this way, it forms a group of the customer of similar liking.  When insurers approach these customer segments by offering them the relevant products, the propensity of buying the product increases and insurers achieve high conversion rates. The propensity model deals with a high volume of customer data and a machine learning model that helps them predict with high accuracy. Therefore, the propensity in the insurance industry works with customer demographic data, their transactional data, psychographic and personality information.  What to note when looking for the right propensity model? The true effectiveness of the propensity model can be achieved if it can be advanced with the newer data, can generate more significant predicted outcomes and deploy in a structured manner. Here is the list of the characteristics of the propensity model when we are looking for it to deploy in our insurance industry.  Look for its scalability A propensity model must be scalable. In such unprecedented times, customers are coping with the deadly virus, and resources in the insurance industry are limited. It is a waste if the offers are made randomly. Thus, the propensity model must be scalable as it should generate huge volumes of predicted outcomes, enhancing precision marketing. Look for a structured framework When we talk about generating a huge volume of the predicted outcome, we also have to consider that it should be understandable, actionable and measurable. An outcome that fails to give actionable insight makes the framework weak. For the insurance industry to map down the customer segment backed with the data must also help insurers to understand which products should be pitched into the clients.  How can it be advantageous for the Insurance Industry? When we talk about the business impact that the propensity model can bring to the insurance industry, we have to take note of the following: Increase Customer Life Time Value Customer lifetime value is the expected relationship with the customer in the future, and micro segmenting customers and deploying cross-sell campaigns from the propensity model can increase it.  Increased accuracy in identifying potential targets in cross-selling With cross-sell propensity model, insurers get an accurate picture of the customer preference. Analytic companies can deploy a decision tree model powered with AI, helping deliver transparent pictures to the insurers through a comprehensive dashboard. This unearths the powerful insight for a better direct targeting campaign. Deploy Propensity Model to Cross-sell right product to the right customer In the insurance industry, the risk is vast for both the insurer and insured. Understanding the true value of insurance is cloaked under various risk. As customers worry about complex underwriting process and at the same time, insurers worry about low penetration of lined products. With the propensity model, insurers generate propensity score for customers, which helps in reducing wastage of resources through relevant marketing to the relevant customers for the relevant product.  We have seen advancement in analytics and how it has been helping the insurance companies amidst the challenging time. Here are few listed business impacts we have noted among our clients after deploying cross-sell propensity model: A comprehensive data platform has helped in getting easy access to insightful customer data, thus enhancing the effectiveness of cross-selling and up-sell. As the conversion rate increases, the rejection rate decreases; therefore, the cost is optimised as cost per conversion drops.  It becomes easier to achieve analytics maturity as now insurance companies are breaking the data silos and getting an actionable insight through data-driven strategy.

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How Analytics Is Helping Insurance Companies In Detecting Claim Frauds

“Global Incidence of Insurance frauds sums up to 3.58% annually”– Global Claims Fraud Survey. In many countries, it takes up to 8% of its revenue annually. Now, that is a huge concern for the Insurance Companies.  The sudden outbreak of COVID-19 and the resulting pandemic has acted as a catalyst for the insurance sector as the demand for health insurance has increased profoundly. In countries like India, where only 10% were previously interested in securing their health by buying health insurance, this has increased to 71% The average claim size has increased manifold in the recent turbulent time. Surveys say insurance companies are taking a vast hit from the pandemic. Another problem that arose amidst these is the “Insurance Scam.”  A worldwide lockdown has paused many businesses’ operations, therefore leading to loss. As profits dwindle, businesses fail to cover up the average variable cost, pushing many businesses towards bankruptcy. Thus, increasing incidents like staged thefts, torching machinery, fake injuries, medical scams, vehicle scams, etc.  Hence, there is an urgency to exploit analytics to detect potential threats. In the upcoming section of the blog, we will discuss how insurance companies can exploit analytics to prevent scams.  Predictive Analytics In a legacy model, insurers depend largely on intuition to detect false claims. Intuition fails, and many times the failure rate is quite high. In the pre-covid situation, insurers visit places to cross-check and validate the documentation of the reported events. Covid has stalled the legacy procedure because social distancing is the new normal norm that has to adhere strictly to combat the virus. Hence, insurers are heavily relying on analytics to overcome these challenges.  Moreover, we came to know about more challenges that insurers face while providing them with our digital solutions. Among them, the most common one is the detection of outlier claims. If done manually, fraud detection is an exhausting process, and insurers consistently focus on reducing the cycle time in this fast-paced digital era. Chances of fraud getting undetected increase if the manual process is followed. Today, Data is linked to various sources, and the right integration can make detection easier. Thus, insurers are harnessing digitization by deploying predictive analytics to detect or prevent insurance fraud. From our client testimonial, we found the benefits they reaped by deploying predictive analytics to detect a false claim. So, the claimant documented a scene where his factory caught fire. The story was so compelling that detecting the staged event manually was next to impossible. Predictive analytics then came in handy. As claimants file up, advanced clustering techniques are used to categorize different clusters with the level of frequency for claims. The algorithm model calculates the probability of the claim being above the threshold level. If it is above, then it will directly go to the special investigation unit.  With the help of historical data and real-time data, by using predictive analytics, early detection of fraudulent claims are possible. Datasets gathered from the claimant’s interaction on social media platforms on their lifestyle and other social factors were used as sentiment analysis by deploying advanced algorithm models to further help in detecting false claims. For example, if a claimant’s check-in location on social media platforms is different from the reported location of the incident during that particular time, the advanced algorithm could track it and defend the claim.  Speech Analytics Insurance companies are also using voice analytics or emotion analytics to detects the claimant’s false claims by analyzing their voice data. Speech analytics uses crafted mathematical and statistical algorithms to detect any fraudulent activities at the FNOL (First Notice of Loss) stage. If a person sounds different than the demanded situation while filling up the claim in the open conversation, AI attached to it will detect the anomaly and send it for further investigation.  Speech analytics can further be used for the following benefits apart from detecting frauds:  Speech analytics with trend-based studies can ease the burden on call centres for sudden calls during natural calamities.  Speech analytics can monitor the timings of the calls and the factors behind fuelling cost. Thus helping in minimizing expenses.  Voice analytics can intercept every conversation with the insured and flagging the one demanding deep sighted conversation with the insurers.  Telematics Telematics can be exploited as an advanced investigating tool for detecting insurance fraud. Telematics can signal out high-risk behaviour such as driving above the safer range. If the signal is ignored, then the claiming process can be deterred. Also, data from the accelerometer can be used to identify the car’s speed during the crash.  Deploying ML and AI in the Dashcam helps in identifying the truth of the incident. Regular real-time data collection on the driver’s driving performances have consistently monitored them, thus preventing accidents or false claims.  Telematics also helps in profiling the driver’s behaviour in the motor insurance sector. Motor insurance rewards the driver with a lower premium if his driving skills fall under a safer slot. This kind of insurance is also known as Usage-Based Insurance. Final Take Away Insurance companies worldwide are likely to favor digital disruption to stay future-ready to navigate through unforeseen crises. Insurers normally follow the legacy model that depends on the manual process, but a sudden outbreak of COVID-19 doesn’t permit us to follow. Social distancing and economic downturn only exacerbate the problem. The role of technology is becoming more crucial every day. The acceleration of digitization premature due to the pandemic. Emerging Leaders in the insurance sector exploit analytics for decision making in insurance-related operations such as claim settlement, policy administration, underwriting, and fraud detection & prevention.  Let us delve into the major take away: Leveraging telematics to measure risk score using data scores from wearables can flag any risky event and proactively communicate with the clients to minimize the risk.  Leveraging speech analytics to detect odd claim patterns by analyzing audio to prevent loss.  Predictive Analytics helps insurers re-running the analysis based on the data trends followed in fraudulent claims to prevent further loss.  Digital solutions also

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How The Insurance Industry Is Going Through Digital Disruption During COVID -19?

Breakthrough innovation by leveraging digital disruption can only mitigate the crisis that insurance companies are facing. The urgency of having general or life insurance wasn’t felt much until pandemic struck the world. With a deadly virus and the risk of climatic change, it has become important to understand the worth of having insurance. But then it is not a one-way process, prospects understanding the worth of insurance and companies understanding the importance of providing seamless experience go hand in hand and that’s when digital disruption comes into the picture.  Dr Rakesh Agarwaal, editor of the journal, The insurance Times, who also authored more than 30 books on insurance mentioned that “COVID gave much necessary push in the insurance sector”. But is it the ultimate driver for digital transformations and growth in the insurance sector? Well, Digitization was already present in the market but the acceleration of the process happened now. The insurance sector is more prone to digital disruption than any other financial service companies. Adoption of digital payment mode by various banks, initiatives taken by the central government of India and insurance regulatory agencies such as IRDA has formulated and taken a few steps to combat with the prevailing situation.  There are various areas in which innovation can take place in the insurance sector such as Insurance solicitation, product underwriting, claim settlement and services. Innovation will help in providing tailor-made insurance, reduce cumbersome paperwork, automated documentation and fast-paced KYC process. Such digital disruption will reduce the timeline by making the process faster. Regulatory is also leveraging AI, IoT, big data, telematics and etc to bring out innovation in these areas.  As policyholders are choosing digital web aggregators to compare, purchase and settle claims, the sector finds it as an opportunity to adopt the new way to stay ahead. Sustainability lies in the mindset of customers. Today the world is going through a pandemic and tomorrow it will be over. But does that ensure that there won’t be a graver issue in the future? We will never know and therefore adaptation to innovation which was not present earlier is the only way to stay prepared. Insurance companies must focus on building technologies with the software technology companies backing them up with digital solutions and scale their operation for the remote workplace.  Creating digital front end technologies and formulation of effective strategies to balance human touch and digital solutions has catered to every touchpoint of customer path which increased the value proposition holistically. It is important for the strategies to be flexible and have a personalisation approach.  To test innovations, IRDA has allowed sandbox to bring an innovative product in the insurance sector. Sandbox is a workspace to experiment, test and innovate financial products, this also helped in containing the loss before applying it on a large scale.  We have heard the concept of the remote workplace in the IT industry but can it be a sustainable model in the insurance sector? Penetration of insurance is low in remote parts of the country and even in tier II and III cities. Dr. Agarwaal has made “Lack Of Education” the root cause of it. After 73 years of Independence, the penetration rate is hovering around 3.7 percent. Digitization is the only way to increase the sales of the insurance product, enhancing the efficiency of operation. Further, technology adoption will reduce the cost by disqualifying the option of having a physical entity in every city and villages.  Digitization is viable in an ecosystem with proper infrastructure. To be successful, we need to create massive awareness for digitisation. One such initiative by the Government of India which helped in educating farmers and lower-income groups about insurance is Jan Dhan Yojana, where the villagers need to open bank accounts and buy small ticket size insurance of Rs. 30 or Rs.40. In that way, people who were unaware of such a product came to know about it and thereby increasing the penetration rate. Due to COVID, many new dimensions have opened up for the insurance sector such as insurance for business interruption, loss of jobs and other high demand OTC products. As physical inspection for claim settlement is not possible hence it slowed down the process. Therefore live streaming for inspections, adoption of machine learning, continuous automation have increased the speed of processing claims. Automation with analytics has also helped the decision-makers to analyse the claims correctly and also reduced the cumbersome paper works.  Robust claim processing and integrating various products with product insurance has expanded its market. Suppose you are buying a phone from any e-commerce website, you will see an option for ad-on insurance at a minimal price. Customers won’t mind to buy it as it provides insurance to theft at a very low cost. Sachet insurance has become the new trend and has full potential to evolve over time due to its simple and easy to buy feature, it requires less documentation making it more popular among youngsters. It is convenient and also gives them the opportunity to ignore complex procedures. Sachet also caters to the temporary requirements and has the potential to avoid incurring a major loss on the premium paid if not renewed on time. Though innovation is always accepted with open arms, it does invite some of the challenges. Breaches and data security posed as a major challenge and thereby it is important to have a strong infrastructure with special focus on these.   Is India mature enough to take all these innovations? Today’s millennials want everything swift and seamless. Automation has helped them in receiving their answer to the query within microseconds. Web aggregators provided policy holders with a comparison chart and the rates that each company is charging on insurance. This helped in having greater transparency.  Changing mindset and staying agile towards digital adoption will make India prepare for it.

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The Effect Of Covid-19 On The Global Insurance Sector

On the 17th of November 2019, the first-ever known case of the new virus that would soon gain universal notoriety as Covid-19 was registered in China. Only 2 months later, there were almost 10,000 known cases worldwide. By the end of Feb 2020, the virus had globally affected more than 85,000 people – a jaw-dropping 769% explosion in numbers from just a month before. On 11th Mar 2020, the World Health Organisation declared the virus as a pandemic. To date, more than 4,00,000 cases have been detected worldwide. Quarantine & Social Distancing China, Denmark, Spain, El Salvador, Poland, France, New Zealand, India, Italy & Ireland have implemented the most comprehensive nationwide quarantines in the wake of this global pandemic. Some of the most iconic institutions & national heritage sites in the USA – The Smithsonian Institution, Disneyland, Disneyworld and the Arlington National Cemetery have all closed doors. These draconian quarantine & social distancing measures are not without reason. Similar restrictions, especially in the global epicentre of Wuhan, China where the virus was first detected, has yielded positive results. On 10th Mar 2020, China closed down the last of its makeshift hospitals in the region, heralding the triumph of caution & vigilance in the face of a global emergency. Lloyd’s Of London Shutters On the 13th of Mar 2020, Lloyd’s of London conducted a resilience test to gauge the feasibility of a shutdown. After its success, it permanently shut down its underwriting room on 19th Mar – a first in its long 330-year history. In keeping with the present best practices of most other iconic institutions, Lloyd’s moved almost all of its insurers to remote working – a policy that, here onwards, will be closely monitored & reviewed every week. For initial days, Lloyd’s building at One Lime Street will stay open for tenants. This, also, is subject to any developments in the immediate future. Insurance Industry & Pandemics Traditionally, companies had been averse to pay business interruption insurance in the wake of a sudden spread of diseases. However, insurance companies usually gave in during pandemics, primarily because they were few and far between. The SARS & the Ebola epidemics were painful lessons for global businesses & insurers alike. In their aftermath, the insurance industry was forced to re-evaluate its policies & business models. In the wake of the SARS epidemic, the Insurance industry had to brace a global exposure from Employment Practices Liability or EPL. This was especially pronounced in the case of employees in the healthcare industry. Similarly, during the Ebola outbreak, insurers experienced maximum exposure from the Workers’ Compensation vertical. The other liabilities involved General Liability, Medical Malpractice & Directors & Officers (D&O) liability. Unfortunately, the effect of the Coronavirus is unprecedented. It has stretched & bent the industry in a manner unforeseen even in their riskiest simulations. Some Predictions A number of Insurance experts have expressed concerns over data security. With increased dependency on remote-working & work-from-home provisions, security & safeguard of sensitive information have become paramount importance. The risk of the information falling into the wrong hands has increased dramatically. The Insurance Information Institute (a Deloitte study), in its first-quarter “Global macro outlook,” reported that “COVID-19’s impact on global growth and the insurance industry is likely deeper and wider than the current consensus and could last well into the third quarter and beyond.” What Can Be Done? A new line of product  Since 2018, Marsh, a US Based Insurance broker has been providing cover for infectious diseases through a product called Pathogen RX. The company expects to earn annual premiums of up to 1.5 billion USD from this offering alone. Collaborate with Health providers like Behold.ai are at the forefront as they have developed an algorithm that can speed up the diagnosis of COVID-19 patients using more than 30,000 example scans. Integrate with data-driven organizations  Metabiota maintains a vast database on emerging & historic outbreaks. Incorporating environmental, political & social factors, in create models & make predictions. This can help insurance providers make informed decisions and prepare for some. At INT while working closely with our insurance providers we have ensured best practices while moving to remote-work. Here is our journey.

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Climate Change Is Real And So Are The Technology Tweaks Necessary For P&C Insurers

As severe weather occurrences continue to hamper life across the globe, P&C insurers are feeling the pinch owing to their frontline position in the life and property damage scenario. Simply put insurers are paying out more to policyholders as extreme weather events such as flooding, droughts, storms and heatwaves become more frequent and more severe. Asset Owners Disclosure Project states that natural calamities occurring due to climate change has a direct implication on an insurer’s business valuation. Insurers suffer from financial losses, regulatory and technology changes, and liability risks that impact their business operations, underwriting, and financial reserving. Natural calamities have been integral to mankind, so why bother now? Ongoing climate change triggers “secondary perils” such as wildfires, flash floods and hail storms in short intervals, which in turn makes it the highest contributor in terms of damage caused to property and life. As per a Reuters analysis, average insured loss caused by “secondary perils” during 2010 – 2018, was almost double when compared to “primary perils”, such as earthquakes and hurricanes. These “secondary perils” are localised in nature and hence insurers need to analyse the events on a case-by-case basis. Popular sentiment among industry stakeholders is that these events are relatively costlier. If covering “secondary perils” become costlier, will the industry be able to maintain its price competitiveness?  A steep spike in the occurrences of “secondary perils” will force insurers to adjust premium pricing and alter risk calculations. Munich Re has already included discussions on premium pricings as part of its strategic agenda, with clients holding asset concentrations in ‘vulnerable parts’ of its markets. Munich Re’s insurance cover in hurricane-prone regions such as Florida is already higher than in northern Europe, by an order of magnitude. The company is actively adjusting its premiums for regions which face threat from “convective storms” caused by global warming. These terms are mostly levied on parts of Germany, Austria, France, south-west Italy and the US Midwest. “If the risk from wildfires, flooding, storms or hail is increasing then the only sustainable option we have is to adjust our risk prices accordingly. In the long run, it might become a social issue, Affordability is so critical [because] some people on low and average incomes in some regions will no longer be able to buy insurance.” – Ernst Rauch, Chief Climatologist, Munich Re As insurers are forced to increase their premium prices, the average customer will find it increasingly difficult to afford financial protection that they deserve and hence will pose a grave danger to the social order. Fortunately, the saying “it is never too late” holds true here and digital technologies are being looked at for a fitting answer to combat negative business implications arising from climate change.  “Hyperlocal” weather data such as precipitation, tides, erosion & subsidence, waves, sub-surface flow, temperature, humidity and wind is being looked at to improve insurance pricing models. Such data is fetched from technology platforms including ground and orbital sensors, wireless and cable network signals, and climate projecting algorithms. Based on these factors, localities are marked on “hazard maps” and customers are charged premiums based on the localities they live in. Advanced weather tech companies are coming up with their predictive and assessment tools featuring highly accurate weather database which boast over 90% accuracy in urban areas, 300-500m geo resolution with an update interval of 60 seconds. Insurers are now in the position to utilize predictive models which can account for climate variables from an hour to more than 50 years down the line. These tools are designed to empower decision-makers with interactive maps, and reports, through an API framework. Hyperlocal Weather Data Forecast Framework Let us look at some of the established insurers to have adopted “hyperlocal” weather and climate data for improving underwriting and insurance pricing, and better risk assessment. Allianz Re senses temperature, humidity and wind in real-time to present an interactive hazard map featuring information on floods, tornadoes, hail, earthquake, tropical and extra-tropical storms. Allianz Re plans to use the product to effectively assess the risk of wildfire anywhere in the world Hiscox assesses damage from a catastrophe by collecting images and data. Hiscox expects the product to help it set premiums more accurately Other insurers are increasingly showing signs of factoring in climate change into their business model with digital technology forming the backbone for the success of the model. Munich Re has been progressively working towards tackling climate change. The insurer considers perils to evolve with time and is presently considering flash-flooding at the top of its threat matrix. Last year the reinsurer focused more on drought and added “wildfire layer” to one of its digital risk assessment tools Zurich Insurance is presently planning refinement to its flood risk modelling for impeccable accuracy, by analyzing granular details of vulnerable areas. For instance, the company wants to distinguish between a house at high risk of flooding and another 10 meters away that is less at risk. Its current model works with distances of around 100 meters London insurance platform Lloyd’s, whose member firms recorded a loss of 1 billion pounds in 2018, driven by hurricanes, typhoons and wildfires, invited ClimaCell to join a ten-week innovation lab program Insurers are mostly reacting to losses incurred, rather than proactively preventing, at least trying to prevent claims from happening We at Indus Net Technologies firmly believe in the philosophy “prevention is better than cure”. Preventing a claim incident from occurring remains the best possible approach to running a successful insurance business. Let us take a look at insurers who have already taken a leap towards hyper-local weather analytics and are on their way to prevent potential claims: Pacific Specialty leverages a network of ground sensors to collect granular data across 5 stations in 5 US metro cities. This sensor network helps Pacific Specialty to record individual hailstone impacts and wind guts to manage hail storms QBE uses a network of ground-based and orbital sensor data with climate projections to assess climate risks and gain efficiency

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API-fication Of Businesses: Must For Customer Centric Omni-channel Experience

The emergence of sleek, transparent and pay-as-you-use insurance products is on the rise. Demand for true-value for premiums paid insurance and consistent customer experience is seeing a global surge. At this juncture, it is evident that building loyalty and long-term insurance relationships will rely on seamless engagement with customers, distributors and the rest of the ecosystem. We predict that the ambit of insurance ecosystems will evolve to include unconventional stakeholders in the form of connected car manufacturers, OEMs, smart home and wearable device manufacturers to ensure last-mile delivery. In such a scenario, API based Omni-channel customer engagement will emerge as a game-changer for insurers. Rapid development in the Application Programming Interfaces (APIs) segment is fuelling growth in this trend. Eminent insurers, irrespective of them being incumbents or insurtechs, are bullish about APIs and have made considerable progress in adoption. In a first of its kind, October 2017, Lemonade launched its public API which allowed seamless access to sell Lemonade policies through third-party applications. Later in November 2017, AXA Asia launched its end-to-end insurance transactional API based Insurance as a Service (IaaS) model. The company allowed partners with complementary offerings to plug into their open APIs and create products to ensure seamless insurance delivery. Why multiple customer engagement channels? While most carriers have multiple engagement channels in place, the disparity in experience across different channels remains a major concern. A number of insurers who want to consistently score higher on customer experience index allow fluid movement of customers across their channels. According to Digital Insurer, USAA Insurance records over 90% of customer interactions on digital channels by allowing free movement across channels. Let us look at the value proposition of Omni-channel customer engagement in a digital insurance ecosystem: Source: Digital Insurer While the value proposition is tempting and lucrative, establishing an Omni-channel engagement strategy requires efficient content management, personalization of services, delivering a device-agnostic experience and data analytics-driven improvement measures along with a shift in culture to support continuous growth. Aegon Life, one of the leading insurance companies to have adopted a “Hybrid Distribution Channel” or Omni-channel customer engagement strategy announced about its plans of selling its products through “new-age distribution channels”. Let us take a look at some of the salient takeaways from Aegon Life’s transition: Customer Centricity: Aegon offered its potential customers the option to choose their preferred communication and transaction medium. Customers could choose to be contacted by company agents, directly buy from the company website, or buy the insurance through a broker. Personalization: It strived to deliver personalized services by routing calls to relevant agents. To put it in simpler terms, imagine a high net-worth customer inquiring about a life insurance product from New Delhi. The company can then geo-locate the nearest agent, who specializes in dealing with life insurance for HNIs. This promotes intelligent conversation and quality management. What insurers must do now?  It is important for insurers to adopt a true Omni-channel strategy, rather than a multi-channel strategy. Unlike multi-channel engagement strategy, which restricts itself to specified channels, Omni-channel strategy enables insurers to provide their users with the ability to obtain the right information at any moment of time; to make more contextually sensible decisions across the value chain and the power of transacting through multiple mediums. An ideal Omni-channel framework for engaging customer within an insurance ecosystem Source: Mind Tree Sustaining an Omni-channel customer engagement ecosystem will require insurers to forge partnerships with Original Equipment Manufacturers (OEMs) in the value chain. The focus should be on risk prevention, rather than risk coverage and management. This is not a new concept in the industry and a lot has happened in this regard. Be it Progressive partnering with Zubie, a vehicle-tracking and engine-diagnostic device, or Liberty Mutual partnering with Nest, a smoke detecting device maker or Manulife’s partnership with Indico Data Solutions to develop a deep-learning tool for unstructured financial data. We anticipate partnerships will be an effective tool in offsetting the lack of customer touchpoints and contribute positively towards enhancing customer engagement.  

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Insurance Gamification And Millennials Go Hand In Hand

Gamification of insurance has been in the market for quite some time now and has been deployed mainly for creating awareness, promoting compliance, and simplifying complex processes. Few prominent insurers such as American Family Insurance, AXA, Allianz and Lawley Insurance had adopted gamification in as early as the year 2012. It has been a great marketing tool to provide customers with all the necessary information without any human intervention or boring bot-based interaction. For instance: American Family Insurance collaborated with WildTangent and Mindshare Entertainment to develop its ‘iAMFAM’ game which allows users to create avatars and manage activities such as buying a house and planning a career. The game then helps users decide which insurance to purchase at what point in time. Post-deployment the game yielded a “click-thru” rate of 5.5% to 15%. Carol Rogalski, WildTangent spokeswoman claims that the game successfully drove consumers to ask for quotes. Source: Geek Wire Sun Life Financial of Canada uses its ‘Money UP’ online gamification platform to raise awareness on retirement and investment planning mostly among its young customers. The app provides educational content on the financial dynamics of savings plans, access to videos, interactive flash-based experiences, financial calculators, a retirement planner, and other online learning devices. The app features options to enrol in plans or increase their contribution levels. Post-launch, the app registered the highest ‘take-up from Generation Y’ wherein over a third of players were 21 to 35 years old. Generation X users (ages 36 to 45) comprised a third of the game’s participants. Let me tell you why gamification of insurance has the potential to be more relevant than ever before. Insurtech start-ups even the incumbents are now focusing significantly on the millennials segment. A race is on to tap the “millennials savings” and we are of the opinion that gamification will find traction among millennials. The very nature of gamification is to indulge the user into a rich and immersive experience which enables instant engagement. Furthermore, gamification eliminates human intervention and nullifies any possible false positives. These traits are probably the best possible value proposition when targeting a millennial. Insurers can leverage gamification to augment the role of an agent and provide millennials with self-service facilities, address their core needs and raise awareness about insurance products. Below is a table representing the possible benefits of gamification for each stakeholder across insurance LOBs.  As new-age companies heat up the insurance sector with their niche products coupled with funky marketing collaterals calibrated to target the younger customer base. We foresee gamification to fair well among millennials. Gamification fits aptly across the entire insurance spectrum, beginning from raising brand/ product awareness, customer onboarding, underwriting, claims prevention and cross-sell of other insurance products.

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Is ‘Sachet Insurance’ The Right Model To Target The Mass Customer Base?

Insurers have now begun following what many in FMCG and the telecom sectors have been up to. Small package offerings, or as the insurance sector prefers to call it “sachet insurance” or “bite-sized insurance” products are making inroads to target the mass customer base. Though at its nascent stage, an increasing plethora of insurers offering such products, are signs enough to predict a positive future for the product model. Flag bearing insurance companies in this segment in India are Toffee Insurance and Digit Insurance. Whereas, Zego, a London based company or Axinan the Singapore based company is testing similar models for their markets. They are offering ‘small-ticket’ non-comprehensive low insurance cover, focus on specific needs and are priced at affordable/low premiums. Did you know? According to Rohan Kumar, CEO at Toffee Insurance, “The sum insured gets defined by the premium. A premium of up to INR 1,000 per year can be called as sachet insurance and the sum insured will depend on the category where it can go up to INR 4-5 lakhs” Digit Insurance offering a holiday home cover at INR 200 excluding tax for INR 2 lakhs cover or Toffee Insurance’s backpack policy which adjusts premiums as per the “bag value” of policyholder have found a number of takers. The bag value insurance has a pricing model which requires users to pay a premium of INR 25 for bag value of up to 2000 or INR 100 for a bag value ranging between INR 5,000 and INR 10,000.  So why is the sector upbeat about ‘sachet’ or ‘bite-sized’ insurance? The answer to this is not simple. However, after speaking with many of the insurers, we found a common ground which enlists the following adoption drivers: Higher price sensitivity Growing millennial cohort that simply gets attracted to the ‘pay-as-you-go’ or value for money proposition. A number of insurers believe these ‘sachet-packs’ are needed for driving insurance penetration as it did for the FMCG and telecom sectors. Access to insurance cover anytime, anywhere and for specific requirements at affordable prices is the single selling point of these ‘sachets’. “Insurers have products for individuals who have a monthly income of Rs 40,000 and above. We want to offer products with premiums as low as Rs 20 so that the masses can buy it instantly,” – Upasana Taku, Co-founder, MobiKwik If you are thinking that only new-age players are making a foray in this domain then let me tell you about some established ones ICICI Lombard has collaborated with Mobikwik for a cyber insurance cover that can be availed at INR 99 per month, with a sum insured of INR 50,000 and has a validity of one month. Max Bupa & Mobikwik have a business tie-up for its ‘HospiCash’ plan that has an annual premium of INR 135, and provides daily cash allowance of INR 500, for up to 30 days, during a hospital stay. AIG Singapore launched its ‘Travel Guard Direct’ plan which is priced according to destination, duration and age, so customers can benefit from more accurate, effective pricing based on the risks involved.  Wondering how will you jump into the fray? You should begin by considering the fact that ‘sachet’ products will transcend the geographical boundaries and reach the mass population. This implies that scalability will be of utmost importance. The overall service delivery architecture should be calibrated for low-value, high-volume transactions. According to PWC, a modular, scalable, cloud-based and API driven architecture that can handle concurrent transactions across customised product lines and last-mile distribution channels would be a good architecture for sachet products. A robust ecosystem comprising partners and third-party service providers will be an ideal service delivery model. Source: PWC Apart from handling concurrent transactions and associated architecture, another aspect that is of equal importance is that these products are simple and offer need specific coverage. This makes it imperative for insurers to pull relevant features from multiple insurance products and bundle into one relevant and simple package. For instance, Toffee Insurance’s bicycle insurance product covers theft, damage to the bicycle and personal accident. The company pulls theft and damage from a single underwriting partner, whereas it fetches personal accident cover from another underwriting partner. In such an operating model, insurance ecosystems emerge as the perfect fit for sachet insurance products. While considering an ecosystem, the role of open APIs (Application Programming Interfaces) in facilitating secured connectivity will remain crucial for the delivery of sachet insurance products. Open APIs can be deployed to amalgamate with a wide range of ecosystem players and deliver a synchronized customer experience. Over and above customer experience, open APIs also have the potential to provide insurers opportunities to sell insurance through partner websites thereby increasing revenue channels. So what lies in the future is already getting interesting. Source: PWC The rise of sachet insurance is not far as the current integration with taxi hailing service for each of its ride has become a norm. You might never know that your next insurance will be of a penny cost but for one of the most precious childhood memory. However, the challenge for growth still remains of creating ecosystems with secure data exchange at convenience. Technologies like blockchain, cloud and unconventional stakeholders will be roped in to ensure last-mile delivery.

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