Estimation Flashcards

1
Q

Pro-forma

A

projected income statement; what is expected to be seen in future

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2
Q

What is Pro-forma used for?

A

Used to demonstrate effectiveness of recommendations → increases credibility

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3
Q

Estimation Applications

A

Market size & share
Revenue potential/impact
Profitability potential/impact (use profitability framework)

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4
Q

Process

A
  1. Clarify information & details
  2. Break down problem & solve in pieces then aggregate
    Think:
    - what factors correlate with “What am I estimating?”
    - Go top down whenever possible
  3. What information would I like to have?
  4. Make defensible assumptions
  5. Identify assumption imperfections & refine (segment your numbers)
  6. Sense check your number (work backwards, does this number make sense)
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5
Q

Canadian Population

A

40 million

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6
Q

Life Expectancy

A

83 years

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7
Q

Median Age

A

40.8 years

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8
Q

People per household

A

2.5

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9
Q

Median Household Income

A

$61,400

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10
Q

Smartphone Penetration

A

86%

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11
Q

Online Shopping

A

28.1 million people

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12
Q

Urban

A

81% (Toronto, Montreal, Calgary, Ottawa, Edmonton, Vancouver)

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13
Q

Market Segmentation

A

15-20% low-end, 60-65% avg., 15-20% high-end

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14
Q

Types of Market (Size)

A
  • TAM
  • SAM
  • SOM
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15
Q

TAM

A
  • Total Addressable Market → entire market for your product type (100% share)
  • Many of these people will never be your customers (that segment needs other solution)
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16
Q

SAM

A
  • Serviceable Available Market → size of your segment (target)
  • Customers you have the potential of reaching, but still might never (e.g. biases, opinions)
17
Q

SOM

A

Serviceable Obtainable Market → your share (how much segment you can win)

18
Q

Estimation Approach – Market Size

A
  • Population (household or individual)
  • Defining characteristics of the population = % of population
  • % population x purchase frequency x purchase quantity x unit cost
    NOTE: if asked to project market size for next year, multiply number by 1.02 (2% growth)
19
Q

Example: Revenues

A

Revenues per store/day/customer x #stores/days/customers = total revenues

20
Q

Defend your Numbers

A

Ensure they make sense, sensitize major assumptions (show outcome if under/over)

21
Q

Example: Stores in a Geographic Region

A
  • Helps us determine supply, saturation of market, revenues for store chain
  • Use population approach
  • Required: #locations in area, estimated population, population ÷ by residents per location