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Key Takeaways of 4th Insurance India Summit & Awards 2019

Innovation and Disruption are causing a paradigm shift in the Indian insurance industry today.

The industry is expected to touch USD 280B by 2020. With the advent of InsurTech, Blockchain, Big Data, AI, IoT, AR amidst changing consumer preferences — there has been a holistic approach to insurance automation, challenging the traditional concepts making insurance a battleground of the old and the new.

The insurance penetration in India is only 3.7% as a percentage of GDP compared to the World average of 7%. However, changes in the demographics, technology and business models have opened up a plethora of opportunities for the Indian insurance industry which is growing at a rate of 11% annually. This has marked the beginning of breaking out of an emerging state into broader impact and use, enabling insurers to expand into more ecosystems than ever before.

The recently concluded “4th Annual Insurance India Summit & Awards 2019” with the motto of “Integrating Technology & Big Data to Enhance Distribution Channel, Marketing Strategy & Customer Experience” — aimed at having robust and key focused area discussions on the inherent insurance challenges. IISA creates a platform for one of India’s largest gathering of Insurance leaders and Innovators. 

Let’s have a look at the key takeaways of the 4th Insurance India Summit and Awards 2019.

Key takeaways of 4th Annual Insurance Summit and Awards 2019

PHYGITAL is the New Wave in Insurance  

There is still a trust deficit between the customers and insurance companies, primarily due to highly suspect products with unrealistic returns being sold in the past decade. Customer Expectations are very different online and offline for the same customer. 

In such a moment of crisis, the focus on Digital cannot be limited to just customer acquisition, as Customer engagement is the key

Phygital, i.e Physical + Digital, is the concept that brands and businesses are using as a sales strategy to amplify the yield. Phygital as a paradigm is challenging the cascaded approach of traditional insurance and bridges the gap between both the worlds effortlessly.

With the help of data visualization, one can help increase customer interactivity, analyze product performance, understand data consumption objectives and thereby improve customer experience. The objective is to provide the ultimate 360-degree experience. This includes a focus on relationships, lifecycle, and even life stages.

Click to know more on, ‘Scope of Phygital in Insurance‘.

The New Product is About Customer Journey:

Customer Expectations have changed significantly over a short period of time. The forecasted move to real-time interaction is indeed here. 

Source: SMA white paper

Customer journeys in insurance are often complex. It involves multifaceted relationships, multiple locations, and various insurance needs. Due to these complexities, 70% of Indians working in rural areas generate 40% of India’s income but have much lower access to the products and services.

Insurance companies are looking at creating efficiency across the Value Chain. Thus they are now also looking at creating or leveraging existing eco-systems e.g. E-Commerce, to widen the footprint. Instead of the focus being on removing agents and selling directly, Insurance companies are now focused on empowering agents.

According to recent SMA research, 85% of insurers report that customer experience and engagement is a top strategic initiative, ranking it as #1 – a significant shift from #4 and #5 in past years. This is good news for the industry, as it points to determination and focuses to place the customer first.

Cognitive RPA to Ease Insurance Problems:

Data is a vital ingredient for going Cognitive. The cognitive insurance business is the one that allows underwriters to be equipped with a repertoire of AI-enabled tools, empowering them to make better and more informed decisions about their customer.

RPA tools currently occupy the Peak of Inflated Expectations in the Gartner Hype Cycle for Artificial Intelligence, 2018. 

Cognitive RPA is widely adopted in various industries, insurance included. “End-user organizations adopt RPA technology as a quick and easy fix to automate manual tasks,” said Cathy Tornbohm, vice president at Gartner. In the insurance industry automation of the day-to-day tasks would potentially reduce cost, time consumption and increase accuracy, quality, and competency.

Miniaturizing of Insurance — Microinsurance

Insurance coverages are the greatest aid against the consequences of risk exposures and also provides support for the insured’s credits. However,  65% of Indians below the age of 35 don’t want to buy Health Insurance

In order to provide “insurance for all”, the Insurance Regulatory and Development Authority of India (IRDAI) has a specialized category of insurance policies called micro insurances. It promotes bite-sized insurance coverage among Gen-Y and the economically vulnerable sections of society.

Click here to know if ‘ Microinsurance actually works for the economically vulnerable sections of India.

Micro-insurances are easily affordable over the bulky insurance schemes. Recently MaxBupa, a standalone health insurer partnered with Mobikwik, a fin-tech platform to promote affordable and convenient microinsurance products. Priced at an annual premium of ₹135, their product, HospiCash will offer ₹500 per day hospital allowance for up to 30 days in a year. 

Click to know more about how ‘ AI can help bridge customer gaps for microinsurers


The non-partisan agenda of the Summit was to explore challenges and their deterrents like technology integration in insurance, customer engagement, and customer experience. The discussions were designed to draw out clear outcomes for the industry together – in order to realize growth, customer satisfaction, profitability and deliver definitive business value.

Mantra Labs was proud to be the business development partner at the successful Summit. We were honored to partake in the insightful conversations and gather appreciation for presenting ‘FlowMagic’ – our Visual AI Platform for Insurers, from all the insurance industry experts present.

We hope to see you again, in the next edition!

To know us in person, drop us a Hi at hello@mantralabsglobal.com 

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Insurance consumers around the globe are seeking convenience and expecting better customer experience. From millennials to Gen Z, with the agile connectivity, irrespective of the industry has numerous options to choose from. As the competition intensifies the insurance industry has to jump into the bandwagon of technovation in order to provide improved accuracy, cost-saving and excellent customer experience. 

Here is a list of the marketing trends in insurance that will prove to be a game-changer in the year 2020.

1. Robo Financial Advisors

According to a Business Insider Intelligence forecast, by the year 2020 Robo-advisers will manage investment products worth $1 trillion, which will spike up to $4.6 trillion by as early as 2022.

Robo advisors have been around for quite some time. In the year 2008, during the financial crisis, Jon Stein, a 30-year old entrepreneur launched “Betterment”, the first Robo-advisor. In recent years due to its low investment rates and data input based research results, it has increased in popularity. 

It is basically designed for the people who want to manage their finances with low management cost. Based on respective data inputs, the Robo-advisors offer any advisory services. 

The main purpose behind the making of the Robo-advisor is to bring the financial services to the wide range of population with lower investment cost as compared to the traditional human advisors. Upwardly.com, 5Paisa.com and Goalwise.com are some applications of Robo-advisors.

Behind the scenes of the software of Robo-advisors are actual human beings who track the market regularly and adjust the algorithms based on the current market condition. Robo-advisors are a boon to the end-users as they can invest in direct plans of mutual funds without shelling any commission. However lack of personalization and one-size-fits-all products are the areas of improvement.

2. Data Integration: The Future of Marketing

IDC estimates that, by the year 2020, the digital cosmos will reach 44 zettabytes, further complicating the lives of marketing professionals.

Integrating data sources is vital for any company, whether B2B or B2C to successfully meet Customer Experience expectations thereby drive accelerated sales revenue.

With an integrated source of information, retailers can administer and optimise marketing through KPI’s, metrics and dimensions that would not have been possible with the separate source system. In order to upscale marketing operations, a connected viewpoint is essential to evaluate the campaigns, audiences, events and channels, and drive the strategic goals.

From an operational viewpoint, CRM solution provides the organization with new business and the ERP system allows to manage and drive businesses around obstacles. A good place to start with the data integration is by Integrating these two systems shall provide marketers and the organizational sales-force with vital information, that can be shared with the stakeholders.

3. AI-driven Copywriting

Artificial intelligence can create cancer combating drugs, control self-driving cars, defeat the best brains at incredibly complex board games, but one realm it can’t perform flawlessly is communicating.

To help solve the issue, Google has been feeding it’s AI with more than 11,000 unpublished books, including 3,000 steamy romance titles. 

Autoencoder, a type of AI network, uses a data set to reproduce a result (in this case copywriting) using fewer steps. Insurers can harness this AI capability to create sentences and suggest the best-optimised language to approach the customers.

AI copywriting is evolving to a whole new level. Google granted  €706,000 (£621,000) to the Press Association, to run a news service with computers writing localised news stories. AI with the help of human journalists can write up to 30000 news stories a month and scale up the volume of the stories that would otherwise be impossible to produce manually.  

“Skilled human journalists will still be vital in the process, but Radar allows us to harness artificial intelligence to scale up to a volume of local stories that would be impossible to provide manually. It is a fantastic step forward for PA.”

  • PA’s editor-in-chief, Peter Clifton 

4. Gamification of Insurance

At the nexus of marketing trends ranging from social networking to the IoT to behavioural science and wearable tech;  gamification is a powerful lever for insurers and insurance agents. It creates an enriching digital experience and customer-centric business model.

Gamification offers great potential value to the insurance business process in the realm of consumer engagement and customer experience. From millennials to Gen Z, it has emerged as a useful practice and effective means to target early technology adopters by:

  • Transforming mundane tasks into interesting and fun experiences that keep users returning.
  • Increases brand awareness, brand penetration and affinity.
  • Increase sales by educating customers about product suitability and guide them to buying the product.
  • Motivating people to act in areas of healthcare and wellness, safe driving, financial planning and sustainability.

Ingress and AXA redefined the world of gaming and advertisement. December 5th, 2014, Niantic Labs the creator of ‘Ingress’ partnered with AXA. In the game, AXA Shield was initially only obtainable from AXA Portals, leading you to AXA business locations in person.

5. Advanced AI Capabilities in Insurance

Innovation and technology are the next frontiers in the insurance industry. While automation and IoT are already a reality for insurance, with the advent of AI there has been a holistic approach to Insurance automation. With insurance leveraging AI, it has expanded its reach to more ecosystems than ever before. Deploying AI capabilities in insurance can help make smarter underwriting decisions, fraud detections, risk assessment and create a better customer experience.

AI is driving significant change in business with insurance being no exception. It has the potential to enhance the insurance business model by-

  1. Improving the speed of the workflow: AI and RPA in insurance reduce redundancy of task. Automation of day to day tasks would reduce cost and time consumption thereby increasing accuracy, quality and competency.
  1. Customizing the services for better customer experience: One size no longer fits all, and the same goes for the insurance industry. With focus on individual markets, insurers can create niche usage-based products to sell the packages in a variety of ways.

Parag Sharma, CEO, Manta Labs and AI thought leader is going to speak about the Internet of Intelligent Experiences™: CX for the Digital Insurer at India Insurance Summit and Awards 2020 on March 12, 2020. Catch him live at IISA 2020.

Details

  1. Providing new insights: Insurance is no guessing game. Data in silos is the biggest drawback for any industry. AI in insurance can integrate this data and provide analytics to help actuaries have a better insight while making a decision about a product.

Marketing Trends in Insurance: The Bottom Line

Today, at the core of marketing in Insurance, lies AI, Machine Learning and advanced data analytics to foster better experiences for the end-user. We’ve listed 5 most important trends that have the potential to shape marketing business models for Insurance and InsurTech firms. Be it Robo financial advisors or gamification, impressing customers remains the prime goal for Insurers.

Have thoughts and queries regarding upcoming marketing trends in Insurance? Please feel free to drop us a word at hello@mantralabsglobal.com.

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Data Science is enormous. It brings forth a scientific approach to gather a massive amount of useful data from raw & disordered information (often collected from open sources). According to recent research, over 2.5 million terabytes of data appear daily. In 2020 every person produces 1.7 MB of data per second. Scientists, Analysts, and numerous other specialists use this data to derive decision-ready insights.

Using data science, marketers can get a clearer picture of their target audience. With this knowledge, any organization’s marketing department can formulate strategies to target customers who portray higher chances of conversion. Also, by delivering values, organizations can eventually maximize revenues. Going with the traditional methodologies, data processing can be a daunting task. Data Science offers a cost-effective solution to businesses seeking data-driven insights.

Let’s delve deeper into 5 most profitable and practical use cases of data science in marketing.

1. Budget Optimization

The primary goal of any marketer is to achieve the highest possible ROI from the allocated budget. This objective is undoubtedly difficult and time-consuming. On top of which, because of changing market dynamics and user preferences, strategies often go off the track leading to unanticipated outcomes.

Data science can be a saviour here. By analyzing the marketing department’s spending and acquisition ratio, organizations can build a model to distribute the budget in the smartest way possible. A clear picture will help marketers to invest money in the most relevant and surplus channels, thus optimizing key metrics.

2. Defining Audience Persona

While every marketer is familiar with the process of building the target audience portrait, determining the exact persona of the potential customer can still be a challenge. The lack of proper data insights might lead to ineffective advertiser decisions leading to a waste of resources.

Data science methods help marketers to understand the user persona and their preferred communication channels with data-driven insights. This means that the marketing budget will be spent on the right channels of influence, ignoring the irrelevant media, which a normal human being will think of covering for “just in case”. Such adjustment will inevitably increase the ROI and optimize the entire advertisement campaign. This will also retain brand relevance to the customers.

[Related: Your shopping cart just got a lot smarter!]

3. Brand New Social Media Marketing Strategy

Social media trends change faster than a human can track it. Facebook, LinkedIn, and Twitter define what is popular, and a marketer has to catch up with the trends.

Data science can keep you on track with the changing trends. Using the logic of Data Science in Marketing, one can get a bigger picture of what type of content people like interacting with. Data science allows us to gather and analyze data about people’s online behaviour. It provides the key metrics to adjust the SMM (Social Media Marketing) goals, which include – the time of posting, content type, amount, etc. These simple adjustments using data science insights can help increase the marketing ROI drastically.

4. Clearer Content Strategy

One of the biggest gaps between planning and execution that marketers face is knowing which channels will be affected and what kind of people will interact with their content and with what sentiment. Will be potential customers? Are interactors content gatherers? Are they the competition? Do they intend to ruin your reputation?

Knowing all this information will help streamline your content strategies.

As long as you know who your customers are; what are their perceptions about your brand; what information can attract/repel your customers; what social channels they are mostly active on; what are their sentiments with your content; what they usually do when they like or dislike a content; you’ll know what type of content you should produce.

For instance, some people hate emails, while others adore reading them. Some people want to resolve their queries publicly on social media, which some care about their online image. Data science can help achieve personalization to some extent, which can help humanize the conversations with your followers.

Let’s take another example of how data science in marketing can help stakeholders. It gives marketers insights about what phrases a customer would use while searching for a product/services online. Marketers can utilize this insight and prepare a content strategy that embeds these terms more often in your posts and articles.

Therefore, we can say that data science brings a variety of actionable insights about customer acquisition channels, their preferences, and engagement style, which can help plan content strategy accordingly.

5. Increasing Customer Loyalty

Your best customers are the ones who will not just purchase your product once but also will repeat buying and bring their friends and relatives to your store. Organizations realize that customer retention is easier than acquiring new customers.

But consolidating loyalty may be tricky. Data science can provide the marketing department with all the necessary information that can help boost customer loyalty. Based on purchase history and current search queries, analysts can predict their customer’s inclination towards a product. Accordingly, brands can create the most relevant offers for their customers. With personalized offers, existing customers feel special and will return to your brand and not go to the competitors.

The Essence of Data Science in Marketing

Using data science in marketing may ease the work of employees and uplift your strategies to new heights. We have to admit that the more structured information marketing teams have, the more effective their strategies become. At the core of any marketing efforts, data science can optimize cost for data processing and result in overwhelming conversion rates.

[Related: 5 Deep Learning Use Cases in Insurance]


About the Author: Marie Barnes is a writer for Bestforacar and an enthusiastic blogger interested in writing about technology, social media, work, travel, lifestyle, and current affairs. She shares her insights with the world through blogging. You can follow her on Medium.

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