Transactional Data

What is the primary purpose of analyzing transaction data in financial technology?

• To increase website traffic

• To identify customer spending patterns

• To reduce marketing costs

• To prevent mergers

Which of the following is a common metric derived from transaction data in customer intelligence?

• Customer sentiment score

• Average transaction value

• User interface speed

• Marketing ROI

How can financial institutions use transaction data to enhance customer loyalty?

• By offering generic promotions

• By sending bulk emails

• By creating personalized rewards programs

• By restricting access to account details

Which of the following is NOT an example of customer intelligence?

• Predicting customer churn

• Understanding payment behavior

• Implementing faster payment processors

• Segmenting customers based on spending

In transaction data analysis, what does CLV stand for?

• Customer Loyalty Variable

• Customer Lifetime Value

• Customer Loan Verification

• Client Linkage Value

How can AI improve customer intelligence in financial technology?

• By slowing down transaction processes

• By automating data encryption

• By analyzing large datasets for behavioral insights

• By creating manual customer profiles

Which of the following data points is crucial for fraud detection in financial transactions?

• Transaction location

• Website color scheme

• Customer email frequency

• App usage time

What role does machine learning play in transaction data analysis?

• Enhancing graphics in banking apps

• Identifying hidden patterns in transaction data

• Slowing down transaction processing times

• Preventing the use of mobile apps

Which data is typically analyzed for improving customer experience in financial technology?

• Marketing budgets

• Social media likes

• Transaction histories

• App coding frameworks

What can transaction data reveal about customer behavior?

• Age of customers

• Preferred payment methods

• Weather patterns

• Software used by customers