Transactional Data and Customer Intelligence

What is transactional data?

• Customer feedback

• Demographic information

• Purchase history

• Social media activity

How can transactional data improve customer intelligence?

• By tracking competitors

• By analyzing weather patterns

• By understanding customer preferences

• By monitoring employee performance

Which of the following is an example of transactional data?

• Customer's favorite color

• Customer's birthdate

• Customer's last purchase

• Customer's social media likes

Transactional data is typically collected through:

• Surveys and questionnaires

• Social media monitoring

• Point-of-sale systems

• Weather forecasts

What kind of insights can transactional data provide about customer behavior?

• Personal interests

• Favorite movies

• Buying habits

• Political beliefs

Which of the following is NOT a benefit of using transactional data for customer intelligence?

• Improved customer targeting

• Better product recommendations

• Reduced marketing costs

• Enhanced employee training

Transactional data can help businesses identify:

• Best-selling products

• Employee schedules

• Marketing budgets

• Competitors' pricing strategies

Which industry benefits the most from analyzing transactional data for customer intelligence?

• Healthcare

• Retail

• Aerospace

• Entertainment

Customer intelligence derived from transactional data can be used to:

• Predict future customer behavior

• Determine the best travel destinations

• Create new product lines

• Monitor social media trends

How can businesses collect transactional data from online transactions?

• Through in-store surveys

• By observing customer facial expressions

• By analyzing website logs

• Through telepathy