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Insurance Agent – Would INSURTECH Complement or replace them?

I remember my young days when one of my close relatives started working as an Insurance Agent, and it was considered to be a precious job. A few days back when I met him, I asked him – Has the latest technology affected your work? I was expecting a negative answer, but instead, he showed me the flip side of how insurtech is helping him make a more personalized and long-term relationships. While some of the mundane jobs like data entry, reminders, quotes comparison, underwriting has been taken up by the insurtech technology, individuals, business owners or firms are yet inclined to interact with a human being and close the deal.

He mentioned a couple of analogies to strengthen his case – he said e-commerce industry in India that is worth US$125 billion as of April 2017 was not able to displace the brick and mortar industry. Or has the automobile industry removed pedestrians from the road?

Or the most important one – has the digitization removed the government agents that help citizens in getting their vehicle registered or apply for the PAN card?

Or has the financial inclusion initiative detached Banking agents or business correspondents from the chain? With a big smile on his face, he was sure digital move will only enhance his powers as insurance agents and not displace them.

Let’s take a look “HOW INSURTECH WOULD STRENGTHEN INSURANCE AGENT”

CHATBOTS HELPING IN CONVERSATION

Let’s accept it, on the one hand, people are busy and may not be available for sales pitch even it’s a tedious job for the insurance agent to repeat the same introduction to every prospective client, and that’s why – chatbots are handy. Start a conversation at your ease, and get full information handy. If you are satisfied, book an appointment with the agent, and he would come and guide you further.

DATA DATA EVERYWHERE

InsurTech is helping the insurance firms in churning the data that supports them in analyzing their needs and preferences. The same data could be used by insurance agents to grab more clients. Just for example if an individual is a wanderlust, he might be more interested in getting customized travel insurance rather than home or term insurance. Such kind of data when provided to an insurance agent, he could use his expertise to present a sales pitch to the client and help him in also getting customization if needed.

VALUE ADDED SERVICES

While play store may be filled with apps that provide dos and don’ts of insurance, individuals expect a human touch that offers “personalization with freebies.” Insurance agents could tap into this domain by also offering value-added services to make their client feel special. Just for example – using a robo advisor to generate a financial planning portfolio for your prospective client could help in trusting the agents and building a long-term relationship.
Undoubtedly technologies’ like Artificial Intelligence[AI], Natural Language Processing [NLP] would help in improving the financial decision, but they are also strengthening the agents in providing value-added services and making it a more engaging experience.

……………………………………………………………………………………………………………………………………………

References:

https://www.insurancebusinessmag.com/asia/news/breaking-news/tech-to-complement-not-replace-insurance-50228.aspx

https://dailyfintech.com/2017/11/30/insurtechisagentspinach/
https://www.insurancejournal.com/magazines/mag-features/2017/04/03/446012.htm

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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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