1.
A market test provides data about consumer actual purchases and
responsiveness to the various elements of the marketing mix.
2. On the basis of the response received to a sample market test, product
sales forecast is prepared.
2. Regression Analysis
1. Identifies a statistical relationship between sales (dependent variable) and
one or more influencing factors, which are termed the independent
variables.
2. When just one independent variable is considered (e.g. population
growth), it is called a linear regression, and the results can be shown as a
line graph predicting future values of sales based on changes in the
independent variable.
3. When more than one independent variable is considered, it is called a
multiple regression.
Elements of a Good Sales Forecasting:
1. Accuracy – The previous method must be checked for want of accuracy by
observing that the predictions made in the past are accurate of not.
2. Simplicity – The method must be simple and easily understandable.
3. Economy – For an undertaking, cost is a main factor so the method should
consider the minimum cost.
4. Availability – The technique must be able to produce meaningful results.
IV. Setting Quota
SALES QUOTA