In this example we are looking for consumers who meet multiple demographic criteria. The Coding Box is key for combining demographic variables to create a targeted consumer group.
We want to find the number of Men & Women ages 18-34 who drink Gatorade, Powerade, or other brands of sports drinks. We will have to build our target demographic groups since OneView doesn't create them by default.
Many of the percentages and totals will not add up to 100%. We are only looking at the age group of 18-34, not the entire universe of sports drinks brands most used users. Also, we are only looking at 3 of the brands, not all of the possible answers for the question. The total numbers in the top left are for the entire universe of sports drink users.
Sample: The number of people surveyed who meet both the column & row criteria.
Weighted: The projected number of adults (18+) in the US who meet both the column & row criteria. Expressed in thousands.
Vert%: Percentage of the column category that matches/agrees with/uses the row category. NOTE: If you place brands in columns, use the Vert% to compare different brands on the % of their business coming from the categories shown in the rows.
Horz%: Percentage of the row category that matches/agrees with/uses the column category.
Index: The likelihood of a target to meet a specified criteria, expressed in relation to the base of 100. Used to show how likely a consumer is to use a product, agree with a statement, etc. Numbers above 100 show MORE likely to use, buy, eat or wear something. Less than 100 shows LESS likely to do something.
Asterisk Notations:
* means projections are relatively unstable and should be used with caution.
** means results are from fewer than 30 respondents and are not be considered authoritative.