
    Given a list of paired financial metrics where each pair contains a client's monthly expense and their savings target, write a function to find the lowest possible financial impact score (calculated as the product of expense and savings) to identify the most manageable financial planning scenario. The function should analyze all expense-savings combinations to determine which pairing results in the minimum product, helping to establish realistic financial goals for clients.
    

    
def min_product_tuple(list1):
    """
    Given a list of paired financial metrics where each pair contains a client's monthly expense and their savings target, write a function to find the lowest possible financial impact score (calculated as the product of expense and savings) to identify the most manageable financial planning scenario. The function should analyze all expense-savings combinations to determine which pairing results in the minimum product, helping to establish realistic financial goals for clients.
    

    """
def min_product_tuple(list1):
    """
    Given a list of paired financial metrics where each pair contains a client's monthly expense and their savings target, write a function to find the lowest possible financial impact score (calculated as the product of expense and savings) to identify the most manageable financial planning scenario. The function should analyze all expense-savings combinations to determine which pairing results in the minimum product, helping to establish realistic financial goals for clients.
    

    """
    result_min = min([abs(x * y) for (x, y) in list1])
    return result_min