Delivering Hyper-Personalization Within Insurance

What is Hyper-Personalization?

Hyper-personalization is the timely, relevant engagement of customers across all channels and at all stages of the lifecycle. This is driven by utilizing data, analytics, AI and automation to provide dynamic, personalized and targeted user experiences.

What is Hyper-Personalized Insurance?

Insurance companies have always offered a personalized service, as customers are offered policies at a particular price based on a measurement of risk. Personalization is also used in marketing to recommend certain products to certain customers. Hyper-personalization takes this further, bringing together a broader set of data (such as external and telemetry data) and using this to create a deeper and more dynamic understanding of the customer. This is then used to inform all aspects of customer engagement through digital and physical channels.

How Can Hyper-Personalization Impact Customer Growth?

Customer growth can be impacted in a number of ways, not just in the initial touchpoints of brand awareness and lead generation, but also during interactions with existing customers, tailoring the product offering to fit their needs and proactive management of renewals. Hyper-personalization unlocks value across all of these areas through a customer-centric, data-driven approach.

How Important Is Customer Growth in the Insurance Industry?

Insurers, re-insurers and brokers are increasingly focussed on how they can deliver more personalized, autonomous and tailored customer experiences. To meet this need, gaining a thorough understanding of every customer has never been more vital.  

However, only a small proportion of insurance organizations are able to execute this consistently: 

• Only 10% of organizations have explainable and trusted decision automation being used throughout the value-chain 
• 70% of organizations lack a trusted holistic view of client across the enterprise  
• Over 44% of the C-suite see a lack of trust in disparate data causing customer retention issues and missed customer opportunities 

Most insurance executives have chosen AI, analytics, operational agility, and cloud as their top initiative priorities for the next two-three years. The need to be data-led and customer-centric is a challenge insurers, re-insurers and brokers are still trying to master, and existing MarTech and Customer Relationship Management (CRM) platforms lack the data fusion and analytics capabilities to solve these challenges.

The Challenges with Disconnected Data

Insurance companies face intense growth in regard to data complexity, evolving customer needs, challenging market conditions, and extreme competitiveness – which often hold them back.  

Even with the scale of investment in data transformation, there are still multiple disparate and disconnect systems that hold and store customer information. This could be any combination of active policy data, historical quotes or claims, contact information, marketing preferences, engagement and web analytics data as well as insights derived from digital engagement and external sources. This disconnect in data leads to an unreliable and siloed view of customers across the business. This means that contact center agents, underwriters and claims handlers often have a vastly different analytical view of the same customer.

This challenge is exponentially compounded when you then look at the need to create low-touch processes through quoting and aggregation, payment verification, claims adjudication, chat bot customer servicing and the like. 

There is a critical need for insurance organizations to extract more intelligence from their data and enrich this with external insights to improve their customer centric decision-making. Only then can organizations deliver greater customer value, increasing client retention and life-time value.

Use-Case of Hyper-Personalization in Insurance

Unlocking the value of customer data to generate a 360° view of customers will enable insurance organizations to reap the rewards that come with hyper-personalization through decision intelligence. For example, a Tier 1 client who deployed these capabilities was then able to: 

• Generate over $200m additional revenue 
• Leverage a 50% increase in the conversation rate of applications and tailored product offers 
• Reduce prospecting time by 90% 

• Provide decision automation by analyzing over ~60bn customer interactions & transactions 

The Benefits of Decision Intelligence Across the Insurance Value Chain

Those organizations that can unlock a connected and enterprise-wide customer view, quickly analyze customer context and engagement information, as well as dynamically analyze customer relationships and interactions, are able to inform more appropriate next best actions for clients.  

The activation of these insights can be delivered through any number of areas across the value-chain: 

• Customer Service – faster, more appropriate and tailored service which empowers automated decisions but also omni-channel customer interaction 
• Cross-sell – delivering warm and relevant leads for multi-product or multi-policyholder bundles and incentives 
• Digital Hyper-Personalisation – tailored, dynamic self-service that accurately reflects the customer engagement and needs 
• Intelligent Underwriting – automated and tailored ratings, pricing and distribution which better selects risk, and better protects the book 

• Claims – being able to more accurately segment claims for processing by not only reviewing the claim information, but by better understanding the customer, claimant, and supply chain behaviors. 
• New Product Development – performing analytical testing of entire customer populations to stress test the network effect of new and evolving product lines for areas such as churn/retention modelling as well as loss propensity prediction.
  

Hyper-Personalize your Insurance Company with CDI

Contextual Decision Intelligence (CDI) is changing the way carriers, re-insurers and brokers can seamlessly connect data from different sources, formats, and systems to provide accurate, dynamic, and connected 360° views of all customers, claimants, and third-parties in one place. This provides the context and the insight needed to drive true real-time hyper-personalized experiences to customers across all channels.