Assumptions for Sizing

Question 1

Different top down level stats: sizing

Answer 1

of Businesses

Population: 300 - 320M (US) - 5% of world
Households: 100M
Life expectancy: 80 (75M - 80M in each 20 age bracket)
Income brackets
GDP
GDP CAGR
# of businesses (online vs retail)

Work vs. Education:
- College/post-grad
- K - 12:
- Working
- Retired

Suburban vs rural

Apt vs home

Different venues

Question 2

Populations

Answer 2

US: 300M - 320M
Europe Population - 750M
Asia Population - 4.5B
Africa Population - 1.2B
South America Population - 425M
Global Population - 8B

Question 3

Businesses

Answer 3

Total: 30M
~25M don’t have employees
5M with employees
- 1M restaurants
- 1M retail/service
- 3M offices
a. 20k large: 500+ (avg. 1000)
b. 1M medium (avg. 20)
c. 4M (small (avg. 5)

Question 4

Sales by business

Answer 4

90% brick n mortar
10% online

Question 5

GDP

Answer 5

$25T
2% CAGR

Question 6

Income

Answer 6

Average household: 60k - 100M households
Average per capita: 40K (including kids) - 150M individuals in workforce

For either household or individual
Low: 30% (25k avg.)
Medium: 50% (75k avg.)
High: 20% (200k avg.)

Depending on question, could remove some people for individuals who do not work/spend for themselves (ages 0-20)

Question 7

Suburban vs rural

Answer 7

50% / 50%

Question 8

Apartment/condo vs house

Answer 8

Apartment/condo: 20%
House: 80%

Question 9

Different venues

Answer 9

Schools
Airports
Hotels
Hospitals
Nursing homes
Restaurants
Bars
Offices
Homes
Sporting venues