Using analysis and modeling tools for enhance the Marketing campaign targeting conversion rate(use SMS for example)

As a SMS campaign for example,

1. The goal of marketing specialist is to use SMS to trigger the customer’s buying behavior, but the conversion rate of sms is not pretty well though.
2. the original way of decide which group of customer we want to sending sms is using the human conditions.but we have cost of sending each sms, we want to lower the cost of marketing and make more precisely targeting.
3. Is there a better way to enhance the efficiently of sms targeting ?

(1.) We can use historical data to analysis which customer intend to buy things when we send sms to them.

(2.) In the beginning, I get the two very common variables to see the relationship with customer buying behavior. First, is the age range of the customer and the second is the card level.

I found that the age range 26–30, 46–50 tend to be trigger when we send sms to them, and the 20–25 are not very sensitive to the sms campaign. Although, I found that the gold card level can more easlier to trigger by sms than white card level. So it can be the strategy for targeting the customer by sms.

(3.) In the next step, I want to get more precisely about which customer have more probability to buy things in our marketplace. I build a model to predict it. So I can use more variables to predict the customers’s buying behavior.