Every voting has its own statistics. But what exactly do these numbers mean? We want to take a look at this using the following example statistics.
The individual values explained in detail:
5,291 users viewed the poll exactly 10,010 times. These are those views that actually occurred in the user's field of view ("lazy loading"). Strictly speaking, we are not talking about users, but unique clients.
Of these, 2,174 participants in turn cast a total of 3,301 votes over the entire duration of the voting ("lifetime" filter).
But why is the number of votes higher than that of participants? In the example, the customer configured the voting so that people were allowed to vote 1 time per day. By the way, the number of votes can also be higher than the number of participants if, for example, multiple choice is allowed or the voting generally consists of several questions.
The average votes of 1.52 result from the ratio of votes to participants, i.e. 3,301 / 2,174.
The interaction rate in turn results from the ratio of votes to users, i.e. 3,301 / 5,291 x 100= 62.39 %.
Hint. In the statistics, we abbreviate all values greater than 1,000 with the letter k (for thousand) and values greater than 1,000,000 with m (for million)