Has Audience Segmentation Experience Can drive a stick shift New to GMI - has been here less than 1 year Can Speak more than 1 language Has lived in more than 3 states Has done a cross functional role Saw Taylor Swift in concert SCANR expert Has more than 5 pets Has milked a cow Has met a celebrity Rides a motorcycle NAR Hub Guru Has built a horse blanket Has built a creative decision tree Has been to Africa Can do a cartwheel Has their pilots license Has been to the Olympics Has been sky diving Worked for GMI more than 10 years Launched a new product Has started a business Was a college athlete Has worked at a retailer Has run a marathon Born Outside of the U.S. Has Audience Segmentation Experience Can drive a stick shift New to GMI - has been here less than 1 year Can Speak more than 1 language Has lived in more than 3 states Has done a cross functional role Saw Taylor Swift in concert SCANR expert Has more than 5 pets Has milked a cow Has met a celebrity Rides a motorcycle NAR Hub Guru Has built a horse blanket Has built a creative decision tree Has been to Africa Can do a cartwheel Has their pilots license Has been to the Olympics Has been sky diving Worked for GMI more than 10 years Launched a new product Has started a business Was a college athlete Has worked at a retailer Has run a marathon Born Outside of the U.S.
(Print) Use this randomly generated list as your call list when playing the game. There is no need to say the BINGO column name. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.
Has Audience Segmentation Experience
Can drive a stick shift
New to GMI - has been here less than 1 year
Can Speak more than 1 language
Has lived in more than 3 states
Has done a cross functional role
Saw Taylor Swift in concert
SCANR expert
Has more than 5 pets
Has milked a cow
Has met a celebrity
Rides a motorcycle
NAR Hub Guru
Has built a horse blanket
Has built a creative decision tree
Has been to Africa
Can do a cartwheel
Has their pilots license
Has been to the Olympics
Has been sky diving
Worked for GMI more than 10 years
Launched a new product
Has started a business
Was a college athlete
Has worked at a retailer
Has run a marathon
Born Outside of the U.S.