An advertising company uses a neural network software to determine which buyers are most likely to open their promotional emails based on past purchase behavior. Using data from $20$ previous email campaigns, the neural network trains itself to examine the impact of $25$ features and develop recommended solutions. The results almost doubled customers$$ response rates to $8\mathrm{.}2$ percent, which in turn, reduced product promotion costs by $35$ percent. This example illustrates the use of neural network technology to

increase new customers that often request online product quotes.

determine customer lifetime value and well$-$defined customer segments.

develop new products or make product and service recommendations to customers.

classify customers by their likely profitability when planning direct marketing strategies.