Top 9 Insurance Claims Processing Trends For 2018

Infographic | December 26, 2019

From time to time holidays don’t go to plan, baggage goes missing, flights are delayed or people are unwell, all of which mean it’s time to claim on your travel insurance policy.

Infographic | February 28, 2020

Think of this as your overview to GI. Guaranteed issue policies are unique, so you will want to have a clear understanding of what you are buying. There are 7 important warnings you need to know about guaranteed issue life insurance.

Infographic | February 25, 2020

Customer experience (CX) has risen to a new level of importance in the insurance industry. Sure, customers still value price — but it’s not the only consideration. They also want a brand that builds trust and shows they care about their customers. In fact, a recent study by Accenture found that 46% of insurance respondents are "Quality Seekers.” These customers value superior service, automated transactions and personalization.

Infographic | March 5, 2020

Hospital care is the largest contributor to commercial health insurance spending growth - 42% of the increase since 2016. The growth in spending due to hospitals is more than twice that of the growth due to physician services and administrative costs, and ten times that of prescription drugs and nursing care. Efforts to control spending should consider how drivers of spending growth are linked to better patient care and chronic disease management.

Infographic | June 7, 2022

These statistics reveal how other insurance marketers are approaching the prospect of a successful business sphere. Consumers’ Journey Begins With an Online Search: 69% of insurance customers conduct research before making an appointment with a business, Over 50% of insurance customers conduct their research on mobile devices and 68% of consumers remain ignorant of businesses based on their requirements. This lets insurers convert such indecisive customers through relevant marketing campaigns

Infographic | January 16, 2020

AI can improve productivity and help in decision making through training datasets. According to the survey of the Dataconomy, nearly 81% of 225 data scientists found the process of AI training more difficult than expected even with the data they had. Around 76% were struggling to label and interpret the training data.