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Loyalty Strategies for Digital Insurers in USA

U.S.A Today

The economy of the U.S.A. is currently in the grips of an economic crisis the likes of which we haven’t seen before. Unlike its predecessors, this one sits amidst multiple realities: those experiencing unprecedented growth and those dealing with a significant downturn. One common theme that should be of concern to consumer-facing businesses would be the rising inflation in personal consumption expenditure (PCE).

The insurance industry is bound to bear the brunt of this as wallets are tightening and discretionary expenditures (even insurance) are on a downward trend.

With so many areas of friction for the end consumer, what are the loyalty strategies for digital insurers in USA to correct the double whammy of rising costs and dipping revenues? Technology and better customer experience could be the way.

Unlocking delightful experiences

The shock of depersonalization, coupled with rising expectations of convenience vis-a-vis mobile applications means that the only candidate for bringing about differentiation is customer experience (CX). CX can be improved in many ways. Lets look at how companies are using technology to inspire loyalty amongst their customers:

  1. Mobile-First User Experience

Smartphones have become commoditized to the point where most online interactions, especially among the younger generation, are mediated through mobile browsers. Keeping this in mind, insurance companies will need to revamp their digital strategies to ensure it’s mobile-focused.

  1. Smart Automation

Insurance involves a lot of paperwork, signatures, and general monotony that stresses both customers and employees. Leveraging rudimentary AI-powered chatbots and automation tools would allow employees to focus on more meaningful tasks and customers to resolve their queries without having to wait for a service agent to pick up their call.

Inspiring Loyalty

Any insurance company wishing to earn their customers’ loyalty should understand two things: it’s easier to retain an existing customer than to acquire a new one, and loyalty is ultimately a function of the customer’s experience with the entire brand. Treating these tenets as the gospel would be enough to nudge your company in the right direction.

Here are a few things that will help improve your customers’ perception of your brand:

  1. Data-driven personalization

All companies, especially in the BFSI sector are sitting on a treasure trove of customer data that they never use. The truth is, this kind of personalization cannot be fully automated and would need close collaboration between man and machine to truly deliver. Having a comprehensive database in place would allow customer service reps to look at individual family profiles and then come up with policy nudges that benefit the customer (like adding a child who came of age in the car insurance policy).

  1. Usage-based Pricing

In the current economic climate, there is nothing that insurance customers would appreciate more than a company that actively encourages customers to only pay for what they use. Such pricing models would signal to customers that the company actively cares for its customers and is willing to implement pricing methods that make insurance lighter on customers’ wallets.

Experimentation pays

Lemonade, the InsurTech startup pioneered the model of online first insurance delivery and completely eliminated brokers, and chose to become a carrier itself. Doing this allowed it to offer competitive insurance rates, while also becoming a staple in the technology stack of millennials in the U.S.A.

Lemonade operates entirely via mobile applications and takes full advantage of its data reserves and artificial intelligence to automate claim verification, fraud detection, and all other cumbersome vetting processes to make the insurance delivery process super smooth.

It’s no wonder that it’s become a billion-dollar company in less than 10 years of its launch.

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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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