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The Growth of Usage-Based Insurance in India

Usage-based insurance (UBI), or telematics insurance, is a type of auto insurance policy that considers the insured individual’s traditional auto insurance. It relies on general demographic information and historical claims data to determine premiums.

UBI uses real-time data from telematics devices or smartphone apps to assess risk and calculate premiums.

While it is still a relatively less used insurance product, several prominent insurance companies in India offer UBI:

  1. Bharti AXA General Insurance: Bharti AXA offers a telematics-based motor insurance policy called “DriveSmart.” This policy uses a smartphone app to collect data on driving behavior and offers discounts based on safe driving habits.
  2. ICICI Lombard General Insurance: ICICI Lombard offers a usage-based motor insurance policy called “Pay as You Drive.” It uses a telematics device installed in the insured vehicle to monitor driving behavior and provides premium discounts based on safe driving.
  3. HDFC ERGO General Insurance: HDFC ERGO provides a telematics-based motor insurance policy called “My: Health Drive.” 
  4. Reliance General Insurance: Reliance General Insurance offers a usage-based motor insurance policy called “Pay-As-You-Drive.” It uses a telematics device to track driving behavior and offers discounts based on the collected data.

How has the adoption of usage-based insurance grown in India?

The adoption of usage-based insurance (UBI) in India has steadily grown in recent years. While it is still a relatively new concept in the Indian insurance market, several factors have contributed to its increasing popularity:

  1. Technological Advancements: The widespread availability of smartphones and the advancement of telematics technology have made it easier and more cost-effective for insurance companies to implement UBI programs in India. Telematics devices and smartphone apps can now accurately collect and transmit driving data, enabling insurers to assess risk and calculate premiums based on individual driving behavior.
  2. Cost Savings Potential: One of the critical drivers for adopting UBI in India is the potential cost savings for policyholders. By incentivizing safe driving habits, UBI policies offer the opportunity for individuals to lower their premiums based on their driving behavior. This appeals to cost-conscious consumers who are looking for personalized insurance options.
  3. Increasing Awareness of Road Safety: India has been actively promoting road safety initiatives and campaigns in recent years to address the country’s high number of road accidents. UBI aligns with these efforts by encouraging responsible driving behaviors and offering rewards for safe driving. As individuals become more aware of the importance of road safety, the appeal of UBI policies grows.
  4. Shift in Consumer Preferences: With the advent of digital transformation and changing consumer expectations, there has been a shift in the way people perceive and interact with insurance. Customers now seek personalized and flexible insurance options that align with their lifestyles and preferences. UBI caters to this demand by offering tailored coverage and potential cost savings based on individual driving patterns.

While the adoption of UBI in India is still relatively modest compared to traditional insurance policies, it is expected to grow further as more insurance companies introduce UBI offerings as consumer awareness and acceptance continue to increase. 

Here are some suggestions to increase user adoption and usage of UBI in India:

  1. Consumer Awareness: Educate the customers about the benefits of UBI, such as personalized premiums, safe driving incentives, reduced frauds, and better claims management
  2. Subscription Options: At the initial stages of adoption, it is essential to help users with various payment structures to assuage fears. Similar to the “try and buy” and “cash on delivery” models adopted at the beginning of e-commerce shopping in India, companies can provide various types of UBI products to suit different customer segments and preferences, such as Pay as You Drive (PAYD), Pay How You Drive (PHYD), Pay as You Go (PAYG), and Distance-based Insurance.
  3. Transparency: This form of insurance relies on the free flow of data using technology to collect and analyze it. For example, with mobile apps, plug-in devices, GPS devices, onboard sensors, mileage detection, etc. Communication on how the data is used through videos, informational widgets, or notifications helps ensure the customer is aware of the data privacy and security measures undertaken by an insurer.
  4. Leveraging Channel Partners: UBI requires a robust ecosystem for easy adoption. Companies can partner with OEMs, dealers, aggregators, and other stakeholders for UBI distribution and service.

UBI is relatively new in India but is gaining popularity among car owners who want more control over their insurance costs. The way forward for UBI in India depends on several factors, such as adopting telematics technology, the regulatory framework, consumer awareness, and market competition. UBI has the potential to transform the car insurance industry in India by making it more transparent, fair and customer-centric

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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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