Kaltura analyzes data collected as your viewers engage with a specific entry. Each metric is defined below, along with its method of calculation.
Video performance
| System name | Descriptive/Friendly name | Definition |
| id | Date | Date |
| count_plays | Total Plays Count | Total number of plays. These count plays are calculated by the play-through quartiles (25, 50, 75, 100). Each time a user will watch through the 25%, 50%, 75% or 100% point of the video, a play count event will be counted. For example, if a video is 10 seconds long, when a user watched the 25th second, there is a count. |
| count_plays_25, count_plays_50, count_plays_75, and count_plays_100 | count_plays_25, count_plays_50, count_plays_75, and count_plays_100 | These count plays are calculated by the play-through quartiles (25, 50, 75, 100). Each time a user will watch through the 25%, 50%, 75% or 100% point of the video, a play count event will be counted. For example, if a video is 10 seconds long, when a user watched the 25th second, there is a count. |
| sum_time_viewed | Total Minutes Viewed
(Quartile-Based*) |
Total effective viewing time. Calculation: The number of minutes in the entry multiplied by the percentage of last quartile viewed. Example: The entry is 60 minutes long. The viewer watches 50 minutes of the entry. The last complete quartile viewed is 75%. Total Minutes viewed is 60 X .75 = 45. |
| sum_time_viewed_new | Total Minutes Viewed (Not Quartile-Based*) | Represents the sum times that are NOT based on the quartile calculation, but rather on a newer calculation where when a user watches a video, every few seconds there's a count saying they're still watching it. |
| avg_time_viewed | Average Minutes Viewed
(Quartile-Based*) |
The average of minutes viewed, calculated by quartile, per play. Calculation: "Total Minutes Viewed" divided by the number of plays. Example: The entry is 60 minutes long. Viewer 1 watches 10 minutes and reaches no quartiles (0%), Viewer 2 watches 25 minutes and reaches 1st quartile (25%), and Viewer 3 watches 40 minutes and reaches 2nd quartile (50%). Average time viewed is sum of quartiles viewed 0%+25% + 50% = 75% divided by 3 plays = 25% multiplied by 60 minutes = 15 minutes
|
| avg_time_viewed_new | Average Minutes Viewed (Not Quartile-Based*) | Represents the avg times that are NOT based on the quartile calculation, but rather on a newer calculation where when a user watches a video, every few seconds there's a count saying they're still watching it. |
| count_loads | Player Impressions Count |
Number of player impressions. A player impression event is counted each time the player is loaded on the page.
|
| unique_known_users | Unique Users Count | Number of unique users that sent an event in the specific report. |
| avg_view_drop_off | Average Drop-off Rate
(Quartile-Based*) |
The average percentage of drop-off quartile (last quartile watched), across all plays. Calculated for VOD entries only. Calculation: Sum of quartiles viewed by all users divided by the number of plays. Example: Viewer 1 viewed 100% of the entry (4 quartiles), Viewer 2 viewed 65% (3 quartiles), and Viewer 3 viewed 40% (2 quartiles). Sum of quartiles viewed is 4+3+2 = 9. Number of plays is 5. Average Drop-Off Rate is 9 divided by 5 = 1.8 quartiles. This means, on average, users watched about 45% of the entry (since 1.8 out of 4 quartiles = 45%). |
| avg_completion_rate | Average Completion Rate
(Interval-Based*) |
Average percentage of completion, across all plays. Calculated for VOD only. Calculation: Sum of the percentiles that the user has viewed divided by the number of plays. Example: Viewer 1 viewed 60% of the entry, Viewer 2 viewed 40%, and Viewer 3 viewed 80%. Sum of percentiles viewed is 60+40+80 = 180. Number of plays is 3. Average Completion Rate is 180 divided by 3 = 60%. |
| count_viral | Entry Shares Count | Number of times that the entry was shared from the player. |
| unique_viewers | Unique Viewers Count | Number of unique users that with at least one play event. |
| sum_view_period | Total Minutes Viewed (Interval-Based*) | View time calculated from events sent every 10 seconds during VOD and live streams (excluding meetings). |
| avg_view_period_time | Average Minutes Viewed (Interval-Based*) | Average duration a viewer spends actively watching content - whether on VOD or live streams - per play. Calculation: "Total Minutes Viewed" divided by the number of plays. Example: Viewer 1 watched one minute. Viewer 2 watched two minutes. Viewer 3 watched 1 minute. Total view time is 60+120+60 = 240 seconds. Number of plays is 3. Average View Period Time is 240 divided by 3 = 80 seconds. |
User engagement
| System name | Descriptive/Friendly name | Definition |
| id | ID | Email address for the user. |
| full_name | Full Name | First name + last name of the user. |
| unique_videos | Unique Videos Viewed Count |
Number of videos that were viewed in the category. |
| count_plays | Total Plays Count | Total number of plays. These count plays are calculated by the play-through quartiles (25, 50, 75, 100). Each time a user will watch through the 25%, 50%, 75% or 100% point of the video, a play count event will be counted. For example, if a video is 10 seconds long, when a user watched the 25th second, there is a count. |
| count_plays_25, count_plays_50, count_plays_75, and count_plays_100 | count_plays_25, count_plays_50, count_plays_75, and count_plays_100 | These count plays are calculated by the play-through quartiles (25, 50, 75, 100). Each time a user will watch through the 25%, 50%, 75% or 100% point of the video, a play count event will be counted. For example, if a video is 10 seconds long, when a user watched the 25th second, there is a count. |
| sum_time_viewed | Total Minutes Viewed
(Quartile-Based*) |
Total effective viewing time. Calculation: The number of minutes in the entry multiplied by the percentage of last quartile viewed. Example: The entry is 60 minutes long. The viewer watches 50 minutes of the entry. The last complete quartile viewed is 75%. Total Minutes viewed is 60 X .75 = 45. |
| sum_time_viewed_new | Total Minutes Viewed (Not Quartile-Based*) | Represents the sum times that are NOT based on the quartile calculation, but rather on a newer calculation where when a user watches a video, every few seconds there's a count saying they're still watching it. |
| avg_time_viewed | Average Minutes Viewed
(Quartile-Based*) |
The average of minutes viewed, calculated by quartile, per play. Calculation: "Total Minutes Viewed" divided by the number of plays. Example: The entry is 60 minutes long. Viewer 1 watches 10 minutes and reaches no quartiles (0%), Viewer 2 watches 25 minutes and reaches 1st quartile (25%), and Viewer 3 watches 40 minutes and reaches 2nd quartile (50%). Average time viewed is sum of quartiles viewed 0%+25% + 50% = 75% divided by 3 plays = 25% multiplied by 60 minutes = 15 minutes |
| avg_time_viewed_new | Average Minutes Viewed (Not Quartile-Based*) | Represents the avg times that are NOT based on the quartile calculation, but rather on a newer calculation where when a user watches a video, every few seconds there's a count saying they're still watching it. |
| avg_view_drop_off | Average Drop-off Rate
(Quartile-Based*) |
The average percentage of drop-off quartile (last quartile watched), across all plays. Calculated for VOD entries only. Calculation: Sum of quartiles viewed by all users divided by the number of plays. Example: Viewer 1 viewed 100% of the entry (4 quartiles), Viewer 2 viewed 65% (3 quartiles), and Viewer 3 viewed 40% (2 quartiles). Sum of quartiles viewed is 4+3+2 = 9. Number of plays is 5. Average Drop-Off Rate is 9 divided by 5 = 1.8 quartiles. This means, on average, users watched about 45% of the entry (since 1.8 out of 4 quartiles = 45%). |
| count_loads | Player Impressions Count | Number of player impressions. A player impression event is counted each time the player is loaded on the page. |
| load_play_ratio | Play-to-Impression Ratio | Player load to play conversion rate. Calculation: Total number of plays divided by the total number of player impressions. |
| avg_completion_rate | Average Completion Rate
(Interval-Based*) |
Average percentage of completion, across all plays. Calculated for VOD only. Calculation: Sum of the percentiles that the user has viewed divided by the number of plays. Example: Viewer 1 viewed 60% of the entry, Viewer 2 viewed 40%, and Viewer 3 viewed 80%. Sum of percentiles viewed is 60+40+80 = 180. Number of plays is 3. Average Completion Rate is 180 divided by 3 = 60%. |
| count_viral | Entry Shares Count | Number of times the entry was shared from the player. |
| total_completion_rate | Total Completion Rate
(Interval-Based*) |
Number of percentiles viewed per user. |
| sum_view_period | Total Minutes Viewed (Interval-Based*) | View time calculated from events sent every 10 seconds during VOD and live streams (excluding meetings). |
| avg_view_period_time | Average Minutes Viewed (Interval-Based*) | Average duration a viewer spends actively watching content - whether on VOD or live streams - per play. Calculation: "Total Minutes Viewed" divided by the number of plays. Example: Viewer 1 watched one minute. Viewer 2 watched two minutes. Viewer 3 watched 1 minute. Total view time is 60+120+60 = 240 seconds. Number of plays is 3. Average View Period Time is 240 divided by 3 = 80 seconds. |
*Video tracking events are specific milestones that are tracked while someone is watching a video. When talking about Quartile-Based video tracking events, we are referring to events fired when a viewer reaches certain percentages of the video's length (25%, 50%, 75%, and 100%). When talking about Interval-Based video tracking events, we are referring to events fired every 10 seconds of viewing/playback.
