Reach

From ArticleWorld

The term reach in reference to advertising statistics refers to the number of people that access a particular piece of promotional work within a specific period of time. A reach is usually either represented as an absolute number or as a percentage of a population.

How reach is determined

This advertising statistic called reach is based on the first time viewings of an advertising work, and not subsequent viewings by the same person within a given period of time. For instance, if one person has viewed the same advertisement or promotional work 7 times and another views the same promotion 1 time within a specified period of time they both are counted the same.

The idea of measuring the number of reaches is considered meaningless without a time period attached to it. This is because the overall purpose of measuring advertising statistics in this way is to gauge the effectiveness of a particular advertising campaign. This simply could not be done without a time period attached to the counting of reaches.

Examples of reaches

An example of the kind of information a reach could give would be as follows (the following example is fictitious and meant for illustrative purposes only):

“www.examplewebsite111234.com has a reach of 2345 people per million on March 26, 2005”.

When a website such as the one in the fictitious example above records information in this way, it helps them see how their ads are doing and how they could be made better. It is all about striving to reach as many people as possible with a particular product, service, or company name so people know who that company is. This is a way for advertisers to find ways to increase revenue as they plan their new promotional campaigns.

The above example of reach could be also determined as percentage as follows (again this is fictitious information for illustrative purposes):

www.examplewebsite111234.com had a five day reach of 6% out of a thousand people, from March 17th 2005 to March 23rd 2005.

This is a very common used of statistics in determining the usefulness of advertising campaign, especially for Internet advertisers.