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Scope of Phygital in Insurance

The Indian insurance market is undergoing a rapid change. The focus on digital cannot be limited to customer acquisition since customer engagement is the key. However, some customer segments depend on traditional insurance channels of interaction. 

Problems With Traditional Insurance

With customers split into different segments, insurers require hybrid methods to satisfy the needs of all. A reimagined approach to the network and methods of interaction to provide seamless and frictionless experience is the need of the hour. 

Phygital, as a paradigm, challenges the cascaded approach of traditional insurance and bridges the gap between both the worlds effortlessly.

The insurance industry is expected to touch sales of US$ 280B by 2020. However, there is still a trust deficit between customers and insurance companies primarily due to suspect products with unrealistic returns being sold in the past decade. This causes the customer’s experience to be very different both online and offline for the same customer. 

Enter Phygital

The amalgamation of ‘Physical’ and ‘Digital’  or ‘Phygital’ experience can help the insurance industry amplify their yield, manifold. Phygital models can enhance the insurance buying experience. It can increase customer interactivity in insurance and enhance the overall customer experience. The sole objective of Phygital is to provide the ultimate 360-degree experience, i.e focus on relationships, life-cycle, and even life-stages.


Source: Accenture 

What’s After the Death of Traditional Retail?

Ever since Marc Andreesen predicted the death of traditional retail, the e-commerce vultures have been circling. Consumers worldwide, purchased US$2.86 trillion on the web in 2018, up from US$2.43 trillion the previous year. In India, growth is even stronger. Online retail in India is growing at a faster pace and is expected to be worth US$170 billion by FY30, growing at a CAGR of 23%.

The insurance purchase process today mostly take place in the digital medium before the customer consciously seeks a sustained physical engagement. The insurance companies then take initiatives for either influencing their conversion or closure.

In this, the customer journeys are mostly “ phygital ” – i.e. customers jump between digital and physical touchpoints while making a purchase decision. 

All these possibilities have spun a whole new disruption story through well-orchestrated alignment along the phygital retail journey.

Along with large marketplaces, the Indian insurance sector is the sandbox for medical operators, payment platforms, and insurance aggregators.

Brands Bringing Phygital Disruption in Indian Insurance 

Flipkart and Amazon

Both the consumer-tech giants have a strong understanding of how to track and influence customer journeys. With a large and loyal customer base who come to them for buying “everything”, they have a clear edge at Phygital disruption in insurance.

Google

“Insurance” is the highest revenue-generating keyword for Google. The recent announcement of Google car (Waymo) to join hands with Trov to provide car insurance for its driverless cars. This demonstrates the innovative path Google seems to be favoring at this stage in the insurance space.

PolicyBazaar

Large aggregators like PolicyBazaar, originally just a portal to compare quotes, realized the significance of “phygital marketing” in Insurance and invested in “last mile feet on the street” for adequate engagement.

PayTM and Phone Pe

Payment platforms like Paytm and Phone Pe also are in a strong position to build an insurance distribution franchise. They are already distributing a selected set of products tailored exclusively for each customer, in their mall/store, leveraging their phygital distribution reach. 

Practo

Medical platforms like Practo has created a large data-rich ecosystem of customers and medical service providers; making them a powerful channel to distribute health insurance – and in due course life insurance. 

Final Thoughts

Phygital is a bridge between traditional processes and the swiftly growing digital space. Insurer distribution models that blend both digital and physical experiences for its customers will stand to gain a significant advantage over competitors that are yet to embark on their digital transformation journey. An omnichannel marketplace that brings the customer on a unique buying experience will draw the most visibility complete with data-driven analytics and insights to personalize the modern ‘buyer-seller’ relationship.

What is your take on the future of Phygital insurance?

Let us know by commenting.

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

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10 Analytics Tools to Guide Data-Driven Design

Analytics are essential for informing website redesigns since they offer insightful data on user behavior, website performance, and areas that may be improved. Here is a list of frequently used analytics tools to guide data-driven design that can be applied at different stages of the website redesign process. 

Analytics Tools to Guide Data-Driven Design

1. Google Analytics:

Use case scenario: Website Audit, Research, Analysis, and Technical Assessment
Usage: Find popular sites, entry/exit points, and metrics related to user engagement by analyzing traffic sources, user demographics, and behavior flow. Recognize regions of friction or pain points by understanding user journeys. Evaluate the performance of your website, taking note of conversion rates, bounce rates, and page load times.

2. Hotjar:

Use case scenario: Research, Analysis, Heat Maps, User Experience Evaluation
Usage: Use session recordings, user surveys, and heatmaps to learn more about how people interact with the website. Determine the high and low engagement regions and any usability problems, including unclear navigation or form abandonment. Utilizing behavior analysis and feedback, ascertain the intentions and preferences of users.

3. Crazy Egg:
Use case scenario: Website Audit, Research, Analysis
Usage: Like Hotjar, with Crazy Egg, you can create heatmaps, scrollmaps, and clickmaps to show how users interact with the various website elements. Determine trends, patterns, and areas of interest in user behaviour. To evaluate various design aspects and gauge their effect on user engagement and conversions, utilize A/B testing functionalities.

4. SEMrush:

Use case scenario: Research, Analysis, SEO Optimization
Usage: Conduct keyword research to identify relevant search terms and phrases related to the website’s content and industry. Analyze competitor websites to understand their SEO strategies and identify opportunities for improvement. Monitor website rankings, backlinks, and organic traffic to track the effectiveness of SEO efforts.

5. Similarweb:
Use case
scenario: Research, Website Traffic, and Demography, Competitor Analysis
Usage: By offering insights into the traffic sources, audience demographics, and engagement metrics of competitors, Similarweb facilitates website redesigns. It influences marketing tactics, SEO optimization, content development, and decision-making processes by pointing out areas for growth and providing guidance. During the research and analysis stage, use Similarweb data to benchmark against competitors and guide design decisions.

6. Moz:
Use case scenario: Research, Analysis, SEO Optimization
Usage: Conduct website audits in order to find technical SEO problems like missing meta tags, duplicate content, and broken links. Keep an eye on a website’s indexability and crawlability to make sure search engines can access and comprehend its material. To find and reject backlinks that are spammy or of poor quality, use link analysis tools.

7. Ahrefs:
Use case scenario:
Research, Analysis, SEO Optimization

Usage: Examine the backlink profiles of your rivals to find any gaps in your own backlink portfolio and possible prospects for link-building. Examine the performance of your content to find the most popular pages and subjects that appeal to your target market. Track social media activity and brand mentions to gain insight into your online reputation and presence.

8. Google Search Console:

Use case scenario: Technical Assessment, SEO Optimization
Usage: Monitor website indexing status, crawl errors, and security issues reported by Google. Submit XML sitemaps and individual URLs for indexing. Identify and fix mobile usability issues, structured data errors, and manual actions that may affect search engine visibility.

9. Adobe Analytics:
Use case scenario:
Website Audit, Research, Analysis,
Usage: Track user interactions across multiple channels and touchpoints, including websites, mobile apps, and offline interactions. Segment users based on demographics, behavior, and lifecycle stage to personalize marketing efforts and improve user experience. Utilize advanced analytics features such as path analysis, cohort analysis, and predictive analytics to uncover actionable insights.

10. Google Trends:

Use case scenario: Content Strategy, Keyword Research, User Intent Analysis
Usage: For competitor analysis, user intent analysis, and keyword research, Google Trends is used in website redesigns. It helps in content strategy, seasonal planning, SEO optimization, and strategic decision-making. It directs the production of user-centric content, increasing traffic and engagement, by spotting trends and insights.

About the Author:

Vijendra is currently working as a Sr. UX Designer at Mantra Labs. He is passionate about UXR and Product Design.

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