We explain our new Now Analytics. It is important to consider that the metrics provide information on the consumption made by users in our player

Overview

Overview

· Start: These are the content requests made by an autoplay or a play.

· Stream: It is the reproduction of content that at least 5 seconds have passed.

· Devices: Unique devices.

· Conversion Rate: It is the percentage of starts that were converted to stream (over 80% is effective).

· Downloads: Downloads

Variable percentage metrics (red and green): It is to make a comparison such as:

1. If you selected the previous block, it is the immediately previous block (For example, you selected from 7:00 - 9:00 today, the comparative previous block is 5:00 to 7:00)

2. If you selected the previous day, it is the block selected in the previous day (For example, you selected 7:00 - 9:00 today, the comparative block will be from the previous day 7:00 to 9:00)

3. If you selected the previous week, it is the selected block from the previous week (For example, you selected 7:00 - 9:00 today, the comparison block will be from the previous week 7:00 to 9:00)

4. If you selected the previous month, it is the selected block from the previous month (For example, you selected 7:00 - 9:00 today, the comparison block will be from the previous month 7:00 to 9:00)

Streams

· Prev: It is previous of time and allows to compare the current Live / Ondemand with the previous data either hr, day, month.

· Devices: It allows to know the consumption of the unique equipment for Ondemand or Live or Live / Ondemand

Top Content - Lives

· Time (time in minutes): Corresponds to the total time consumed by all users.

· Time Average (average time consumed): It corresponds to the average time per reproduction, that is, each user who reproduced "X" quantity, the time average is the average of those x quantities. (not applied in app). Time Average: (Time Total / Starts)

Top Content - Medias (AOD / VOD)

· It has the same parameters as in Live

· Duration: It is the duration in minutes of the average

Top 20 Category

It has the same parameters as Top Content Live & Media

· Duration avarage: Average duration of the averages that the category has. A user in a media may have heard the media fragmented and that is average consumption time

· Stockings: Counts the amount of stockings related to the category

Devices

· Stream by Devices: Counts consumption by device type

· Stream by OS: Counts consumption by Operating System

· Stream by Property: It counts the consumption by player. Note: Property is a name to be able to identify from which player is being consumed.

Referrer

The Top 5 Referrer most consumed by users is shown.

· Percent: Equivalent to the percentage of consumption by users in each Referrer

Half

Streams vs Start

· Start: These are the content requests made by an autoplay or a play.

· Stream: It is the reproduction of content that at least 5 seconds have passed.

· Prev Start: It is previous of time and allows to compare the current Start with the previous data either hr, day, month.

· Prev Stream: It is previous of time and allows to compare the current Stream with the previous data either hr, day, month.

Main Categories

· Category: It shows the metrics of the categories consumed by users

· Duration Average: Average duration of the averages associated with the category

· Means: Total of means associated with the category

Note: This section allows you to analyze the performance with respect to an Average. It is important that when applying the filters, the media to be verified is selected.

Performance

· Retention: This is in relation to the total of reproductions.

· Engagement: This is related to those who did listen to each section (the idea is to know if the section was interesting for those who did see it)

Note:

· X axis is “% of content” for Retention and Engagement

· Y axis (Retention in%): It is with respect to the number of users who consumed that average

· Y axis (Engagement in%): it is with respect to the total time that could be consumed in that section

Example for Interpretation of the image graph


Retention:

1. 100% of the users who see the content start from the beginning (although it sounds "logical", it is not always the case).

1. 20% (because it fell from 100% to 80%) of the users who saw that content left before seeing 20% ​​of the content.

2. Then there is a disinterest (they withdraw from playback) before reaching 70% of the content.

3. 60% of users watched until the end of the content.

Engagement:

1. People are previewing the first (seconds or minutes) of content.

2. Particularly, you don't see a media that has “interesting” sections, the people who listen to it show some constancy.
Live:

Concurrency

Concurrency is the amount of people consuming at the same time within a minute.

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If you have any related questions please do not hesitate to write to us through the chat.

Atte. The Mediastream Team

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