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Why Insurance should take back control of the ‘funnel’ with a Lead Management Solution

While every organization manages their ‘sales funnel’ differently, they must all address the arduous task of handling leads competently. In the Insurance business, generating quality leads is proving to be a tough assignment for older agents, as their collective numbers dwindle down —  as more business is being transacted online, creating a complex web of lead data to consolidate, than ever before.

For an insurer or broker, unearthing excellent leads is only half the battle won — converting the semi-interested, prospective buyer to ‘loyal avengers’ of your brand is the true test. Without an adequate analysis of the lead data, insurance firms are more likely to let valuable customers slip through unnoticed. Infact, 80% of marketing leads are either lost or discarded because of poor lead management; while 80% of leads passed onto the sales agents are unqualified — according to research on lead management, surveyed among B2B organizations in 2019.

Documenting a prospect’s complete story of interactions & experiences with your organization, delivers timely insights into exactly how and when a prospect was converted from an ordinary ‘lead’ to a ‘customer’. Most of the sales follow-up process including managing leads, prospecting new business and dispatching service to existing clients — is time consuming and for the most part, manually done. On the other hand, outside competition via other brokers and organizations offering closely matched services and products are most likely to capitalize on the mistakes you have failed to identify early —  which brings us to — What is it about your business that will capture a prospect’s attention long enough to close a sale, build quality relationships, and encourage referrals? For an effort of this magnitude, the journey begins with a strong lead management framework.

The transition for qualified ‘leads’ as it evolves through the organization’s marketing and sales pipeline, eventually passes through several phases or ‘lead stages’.

Lead Management Accelerator Framework

Here’s why Insurance needs an Accelerated Solution

Lead Prioritization

  1. Clustering of leads based on assorted attributes —  profile, source, income, demographics etc.
  2. More targeted and focused approach on managing prospects.
  3. Helps improve the quality of leads to the caller/sales team.

Lead Allocation

  1. Profile analysis of callers to identify their strengths and allocate leads accordingly.
  2. Enhanced and optimized Lead Conversion thereby creating profitability.

Lead Disposition

  1. For time effectiveness quick, detailed & one-stop disposition.
  2. Seamless integration with insurance core platform allows quick access of quotes and payment service.
  3. Allow effective communication by means of various integrations like e-mail, SMS, dialers etc.  
  4. Various features like document repository, call scheduling, lead journey chart helps callers handle lead dispositions aptly.

The implementation of a strong framework makes a dedicated LMS solution for the insurance industry not only desirable, but strategically important for the industry.

From creating qualified opportunities and ultimately satisfied customers — Lead management is the backbone of a successful sales operation. The sales process should integrate with lead management seamlessly, which is why an automated LMS with customizable workflows harnessing Artificial Intelligence/Machine Learning is a complete solution. By automating the sales process we can ensure calls, demos, follow ups and meetings — even potential revenue — isn’t slipping through the sales pipeline undetected.

To know more about how Insurers can create workflow specific LMS solutions, get in touch with us — 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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