Carriers that Get to Know Their Customers Have a Huge Advantage

July 3, 2009 by elivneh

The recent issue of Insurance & Technology features a number of very well-written and insightful articles about customer retention and acquisition.  As Anthony O’Donnell rightly states, “carriers that get to know their customers well — by effectively leveraging collected data and by simply listening to what they say — have a huge advantage in a tough insurance market.”

The cover of the print edition features Lloyds TSB’s chief actuary Martyn Green, who says, among other things “The lifetime value model of a customer translates into massive amounts of value… From the analytical piece alone, the benefits are probably in excess of £15 [US$23.8] million a year…

Sounds pretty compelling, doesn’t it?

You can read more about the Lloyds implementation of customer value optimization as well as other cases of leveraging customer insight on the I&T site.

The Five C’s of Insurance Customer Value Optimization

June 5, 2009 by davidschapiro

This article was originally published in Insurance & Technology.

If there is a silver lining in the financial meltdown we are experiencing, it is the reestablishment of basic business principles that seem to have been relinquished in recent years, or in the case of some insurance carriers may never have been established properly in the first place.

The current economic shakeout presents an opportunity for insurance carriers that are looking to position themselves for long-term success. With limited options for making money on their investments, insurers should seize the opportunity to create sustainable profitability from their insurance operations by delivering greater value to customers.

To become more customer-centric and optimize customer lifetime value, insurers need to consider the following five variables that create mutual value to the customer and the insurance provider:

1. Coverage: what coverage should we offer to each customer?

Customers have varying degrees of tolerance to risk, and therefore different requirements for insurance coverage. Coverage needs and preferences also change over time. Insurers can do a better job recognizing lifetime events that influence these needs, such as starting a family, a child that is reaching driving age, etc., and proactively offer the appropriate coverage options to each customer at the appropriate time.

2. Cost: at what price?

Traditional risk-based insurance pricing is based on the cost of insurance from the point of view of the insurer, failing to take into consideration the customer view. Insurers can do a better job recognizing other important parameters that influence price sensitivities for different customers and incorporating these into the product–service–price combinations they offer to each customer.

3. Convenience: how important is convenience and time savings to the customer?

Customers have different preferences when it comes to convenience. While some prefer to work through an agent, others prefer doing business online. Some customers are willing to trade cost for convenience, preferring a bundled solution with the convenience of one-stop shopping, while others prefer shopping for each coverage separately to get the best price. Understanding these preferences for each customer and how they change over time can help the insurer better match customer needs and increase customer value.

4. Care: what is the level of service and care that should be offered to each customer?

While a claim is first and foremost a cost item to the insurer, it is also an opportunity to increase customer satisfaction, create greater customer loyalty, and boost retention. The customer lifetime value framework provides the insurer with the ability to optimize the claim process in order to balance these cost and retention considerations and maximize lifetime value for each customer.

5. Compliance: how can all this be done while maintaining compliance with regulations?

To serve as a practical tool for managing customer relationships, the lifetime value optimization framework must incorporate local regulations, which are different from state to state and from one country to the other.

The results of customer value optimization can be highly rewarding. Insurers that have adopted this approach have been able to achieve business growth and profitability in competitive insurance markets, generating Combined Operating Ratio improvements of 1-4 points.

What practical steps can insurers take to get started on the path to optimizing customer value?

  • Define profitability goals and time horizon: For example, a carrier that is looking to grow market share and willing to breakeven or incur a loss in the short-term may be able to attract customers that will turn highly profitable in the long run.
  • Establish a customer-centric analytics platform: Operating in product-related silos makes it impossible to optimize customer value across products. To maximize customer lifetime value, insurers must implement a platform that provides an integrated view of the customer and enables decisions at different parts of the organization to be optimized based on cross-product profitability.
  • Apply a quantitative approach to optimization: Historically, a judgmental process has been applied by insurers to balance marketing goals with the underlying loss characteristics of the risk. Insurers would be better served by applying a quantitative model that can optimize customer offers to best match corporate goals such as improving profitability, increasing market share, or a combination of factors.
  • Incorporate regulations: Working in a highly regulated environment undoubtedly puts constraints on the freedom that insurers can exercise in selecting their customers, offering new products, and formulating rates. At the same time, regulations should not be used as an excuse for neglecting to do more on all of these fronts. Rather, regulation restrictions should be integrated into the operational model of optimization decisions utilized by carriers.

To optimize customer value, insurers need to adopt a new way of thinking. They also need processes and technologies that can help them model customer lifetime value and apply it to day-to-day customer interactions, ranging from new customer acquisition to policy renewals and claim processing. None of this is going to happen overnight. Recognizing this is the direction insurance must go, especially in light of the current financial meltdown, many of the leading insurers are already taking steps in this direction. With a growing body of evidence to the success of the customer value optimization model, we can only expect others to follow.

Pricing Optimization in Commercial Insurance: An Interview with John Lucker, Deloitte Consulting LLP

May 14, 2009 by elivneh

JohnLuckerJohn Lucker leads Deloitte’s Actuarial and Insurance Solutions data mining and predictive modeling practice known as Advanced Quantitative Solutions (AQS). He provides leading insurance carriers with end-to-end business, operational, and technical consulting services. Mr. Lucker has helped numerous commercial and personal insurance carriers develop innovative methods and solutions, and is a co-inventor of three predictive modeling patents which are pending.

Mr. Lucker is a frequent speaker at national insurance and risk management trade association conferences and has been published and quoted in numerous trade journals and professional publications. He holds a BA and an MBA from the University of Rochester.

In a recent conversation, John was kind enough to share with us his observations and insight into the challenges and opportunities related to pricing optimization in commercial insurance.

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Price Optimization in the New Age of Insurance

February 18, 2009 by davidschapiro

There is an interesting article published last week in FST – Financial Sector Technology about price optimization.

It provides great insight about price optimization in financial services and its relevance given the current financial crisis. Datamonitor’s Jonathan Steiman is an excellent analyst whose opinion I highly respect. However, in this particular case I believe Insurers should put price optimisation at a very high priority.

I hope you enjoy the article and join the discussion.

Customer Differentiation Is Needed to Insure Profitably

February 17, 2009 by davidschapiro

Here is an opinion piece of ours that was published last month in National Underwriter P&C – a weekly magazine serving the entire insurance industry.

Customer Differentiation Needed To Insure Profitably

I hope you find it interesting and would be glad to get your comments.

Transforming the Claims Process: An Interview with Brian Cohen

January 26, 2009 by elivneh

Brian Cohen has long been recognized as one of the most dynamic thought leaders in the insurance industry.  As a senior executive with Farmers insurance, Brian led several highly successful business units.  As the company’s Chief Marketing Officer and Head of Sales, he was instrumental in driving fundamental changes in the company’s sales process.  He also was involved with Farmer’s efforts to improve their claims operations.  After Farmers, Mr. Cohen became President and CEO of Clear Technology, a global software provider to the insurance industry, which was acquired in 2008 by Versata Enterprises.

You can find articles authored by Brian in numerous insurance publications.  He is also a frequent speaker at various insurance industry conferences.  Most recently, he spoke on the topic of insurance claims management at the ISOTECH 2008 conference held in Las Vegas this past November.

Brian is not shy to voice his opinion about things that insurance companies should do differently.  We had the opportunity to catch up with Brian at the end of 2008 and get his take on the opportunities that lie ahead for insurance companies. Following are excerpts from our conversation. 

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Lloyd’s weathers the storm – The Boston Globe

January 25, 2009 by elivneh

IT Innovation in Financial Services During Tough Times

December 9, 2008 by davidschapiro

(Posted by David Schapiro)

I am on a flight to visit with customers and analysts, something I do every month. With the recent pace of events in the financial sector, the few weeks between one trip and the next seem to last an eternity.

As I mentioned in previous posts, I have done my assessment on how the credit crisis has and will affect our customers in the financial services industry. In the course of this analysis I spoke in depth with our customers and market analysts in order to understand what is going on so we could build a model and take the appropriate action if and when required.

Now, I am going back on the road and telling the world – customers, analysts, the media – what we are doing to address the concerns of our customers given the situation.

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Customer Analytics in the Insurance Industry

November 24, 2008 by davidschapiro

There is a good discussion on the Insurance & Technology blog about customer analytics in the insurance industry, specifically around its use at Farmers Insurance.  It brings up some interesting questions related to the quality and validity of the underlying data.  I recommend joining the conversation.

Doing Business in Financial Services Nowadays

November 19, 2008 by davidschapiro

(Posted by David Schapiro)

It has been barely two months since Lehman Brothers went under and sometimes it feels like we are living in a different century. Like many of us, I have been through a number of crises of different types – financial, industrial, geopolitical – and they all have at least one thing in common: they go away in the end.  The question is what happens in between…

As the CEO of a software company providing solutions to banks and insurers, the current financial crisis is of special interest to me, to put it lightly. As we offer products that help these companies improve their profitability, our business is going strong. But just like everybody else these days, we need to look into our crystal ball and plan for a potentially very different future.

Over the last few weeks (that seem like years) I have spoken with my customers – leading insurance and banking executives in the US and Europe – trying to build a model of what lies ahead for us in the future. It was intriguing to see how each individual had a unique insight about where we were heading.  But uniqueness is the problem; I was looking for a common ground on which to build a model.

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