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The email open rate is a measure primarily used by marketers as an indication of how many people "view" or "open" the commercial electronic mail they send out. [1] It is most commonly expressed as a percentage and calculated by dividing the number of email messages opened by the total number of email messages sent (excluding those that bounced.) [2] [3] [4]
Click-through rate (CTR) is the ratio of users who click on a specific link to the number of total users who view a page, email, or advertisement. It is commonly used to measure the success of an online advertising campaign for a particular website as well as the effectiveness of email campaigns. [6]
A U.S. National Agricultural Statistics Service statistician explains response rate data at a 2017 briefing to clarify the context of crop production data. In survey research, response rate, also known as completion rate or return rate, is the number of people who answered the survey divided by the number of people in the sample.
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In computer science, rate-monotonic scheduling (RMS) [1] is a priority assignment algorithm used in real-time operating systems (RTOS) with a static-priority scheduling class. [2] The static priorities are assigned according to the cycle duration of the job, so a shorter cycle duration results in a higher job priority.
Response-rate ratio is a measure of efficacy of therapy in clinical trials. It is defined as the proportion of improved patients in the treatment group, divided by the proportion of improved patients in the control group. [citation needed] The same term has been used in marketing. [1]
A view-through rate (VTR), measures the number of post-impression response or viewthrough from display media impressions viewed during and following an online advertising campaign. Such post-exposure behavior can be expressed in site visits, on-site events, conversions occurring at one or more Websites or potentially offline:
The five response categories are often believed to represent an interval level of measurement. However, this can only be the case if the intervals between the scale points correspond to empirical observations in a metric sense. Reips and Funke (2008) [20] show that this criterion is much better met by a visual analogue scale.