Answer:
false
Explanation:
Market segmentation entails dividing target customers into smaller groupings based on their common shared traits. Segmentation places customers into small manageable groups with similar characteristics such as age, gender, interest, occupation, and geographical location. Customers in the same segment are highly likely to respond uniformly to marketing strategies.
Segmentation enables a business to carry out details research concerning each group. It then offers specific products based on the needs of each target segment.
Answer:
The answer is: The selling price is $76.05
Explanation:
To calculate the markup we can use the following formula:
Markup Percentage = Gross Profit / Unit Cost
where:
- unit cost = $45
- markup percentage = 69%
- gross profit = selling price - unit cost
69% = gross profit / $45
69% x $45 = gross profit
$31.05 = gross profit
$31.05 = selling price - $45
selling price = $76.05
Answer: Ordinary income tax on earnings exceeding basis.
Explanation:
From the question, we are informed that a 60-year-old customer purchases a nonqualified variable annuity and withdraws some of her funds before the contract is annuitized.
The consequences of this action is that Ordinary income tax on earnings exceeding basis. It should be note that the distributions from a nonqualified plan had to do with return on original investment and income from the investment. Since there's defer of the income, it'll be taxable as an ordinary income.
Think of competitors that sell the same thing, for example Pacific Coffee or Pretz.
Answer:
Master Data Management (MDM)
Explanation:
Master Data Management (MDM) is a method that involves definition and management of critical data of an organisation. With data integration it provides a single reference. Data can include reference data or analytical data.
In computing Master Data Management (MDM) is useful in removing duplicates, standard Ising data, and introducing rules that will eliminate incorrect data from the system. In this way it creates an authoritative source of data
It has the objective of collecting, matching, consolidating, aggregating, persisting, and distributing data within an organisation to ensure common understanding.
