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A meal delivery service wants to develop recipe options that better address existing customer preferences. After analyzing the

recipe choices made by customers on their website for the last three years, the company identified clusters of customers they now

call "veggie or nothing." "meat and potatoes," "spicy and savory," and "heart-healthy low calorie." This is an example of using

marketing analytics for

a. advanced customer segmentation

b. information sharing

• c. customizing rewards

d. predictive modeling

e data visualization

A) Advanced Customer Segmentation

Explanation:

Advanced Customer Segmentation involves using psychographic data about segments to gain in their interests. With advanced customer segmentation, segments are filled with customers with like interests. These segments are special because due to the fact that you as a marketer knows their taste and wants, they trust you to the extent of willing to become your fulltime customers. These segments are likely to spend money with you once this level of trust is attained. Advanced Customer Segmentation allows you the marketer, to target your marketing and advertising towards these segments who are likely to buy from you than an average market. A marketer can make offers and campaigns that target a specific market using advanced customer segmentation. Personalized offers work best in market segmentation.

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