The term "net death benefit" refers to the total amount a designated beneficiary will receive from a life insurance policy upon the insured’s death, as specified in the life insurance policy contract. This amount may differ from the original face value of the policy due to various factors such as withdrawals, loans, increases, or decreases in the death benefit that may have been made over time by the policyholder.

In other words, the net death benefit considers any changes or adjustments made to the life insurance policy during its term, which could result in the beneficiary receiving more or less than the original face value of the policy. It's important for policyholders and beneficiaries to carefully review the policy contract to understand how the net death benefit is determined and how it may impact the amount that will be paid out upon the insured's death.


Selling your life insurance policy is a significant decision that requires careful consideration. But how can you be sure that you will receive the best offer? The traditional approach of applying to every licensed buyer in your state, which could be 10-35 different companies, is time-consuming and uncertain. Moreover, many direct buyers primarily focus on representing their investors and may not have your best interest in mind.

At Welcome Funds, we understand the challenges policy owners face. That is why we have taken steps to level the playing field. Our innovative approach involves conducting an auction with multiple buyers on your behalf. With just one application, you can access a network of buyers actively competing to provide you with the best offer for your life insurance policy. We call this process "Life Settlements. Simplified."

By leveraging our industry life settlement expertise and established relationships with reputable and licensed buyers, we ensure you receive the best possible offer for your life insurance policy. You can trust Welcome Funds to navigate the complexities of selling your life insurance policy and help you achieve the optimal outcome.

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