Page Comparison

User Profile

• Understand if the sales are coming from new users or increased traffic

• Among existing users, identify people who authenticated for the first time

BK CH - BK Days (Q3 QRM)

Whopper Campaign APAC

User Profile

Understand the profile of the user:

• who tried the product

• who were attracted during promo days

based on

•  Welcome survey (PMIX, profile, profession, channel preference)
•  Age (date of birth)
•  RFM Segment

• Age

• RFM

• Welcome survey - still manual process

Transactional

Understand the user profile (activity rate, time of the day, service mode)

Split of guest by last active date

Retention by guest profile

• Time of the day

• Service mode

User Behavior

Change of user behavior overall & by profile after buying a given product

•  Check, Frequency & Sales
•  Conversion by User Profile

Note: the base needs to be locked in the pre period

BK CH - BK Days (Q3 QRM)

BK C - 9.9 Mix & Match

Product

How did user consumption changed and how was PMIX affected? What were they purchasing before and after?

Product

Do our guest enjoy our product enough to drive strong re-purchase?

BK C - Black Cheese LTO

• Repurchase