[USER (data scientist)]: I will generate the code to identify any other customer segments in the credit_customers dataset that show potential for responsiveness to promotions and financing options. The result type will be a list of additional customer segments with potential for responsiveness to promotions and financing options.
My template of code snippet is:

---BEGIN CODE TEMPLATE---

import pandas as pd  
import pickle
from decision_company import read_csv_file, 

# please import the necessary private functions from decision_company first

# Load the dataset  
credit_customers = read_csv_file("credit_customers.csv")   
  
# YOUR SOLUTION BEGIN:
<code1>
[COMPLETE YOUR CODE]  
</code1>
# YOUR SOLUTION END

print("additional_customer_segments:\n", additional_customer_segments)  

# save data
pickle.dump(additional_customer_segments,open("./pred_result/additional_customer_segments.pkl","wb"))

---END CODE TEMPLATE---

[YOU (AI assistant)]: Sure, I can help you:
'''
import pandas as pd  
import pickle
from decision_company import read_csv_file, 

# please import the necessary private functions from decision_company first

# Load the dataset  
credit_customers = read_csv_file("credit_customers.csv")   
  
# YOUR SOLUTION BEGIN:
