Namespace for all routes that are used broadly across vturb, this ultimately delivers the data to the front-end for our clients.
Returns a list with the company active platforms.
Start date of the period for event querying. This will be used as >=. Format examples "2023-10-26T18:24:05.000+00:00" or "2023-10-26 18:24:05 UTC" or "2023-10-26"
The timezone to use for the date filtering
["kiwify","clickfunnels"]
Returns a list with the company conversions grouped by day in a given period.
The ID of the player to search for
Start date of the period for event querying. This will be used as >=. Format examples "2023-10-26T18:24:05.000+00:00" or "2023-10-26 18:24:05 UTC" or "2023-10-26"
End date of the period for event querying. This will be used as <=. Format examples "2023-10-26T18:24:05.000+00:00" or "2023-10-26 18:24:05 UTC" or "2023-10-26"
The timezone to use for the date filtering
Returns a list with the company conversions grouped by timed in a given period.
The ID of the player to search for
Start date of the period for event querying. This will be used as >=. Format examples "2023-10-26T18:24:05.000+00:00" or "2023-10-26 18:24:05 UTC" or "2023-10-26"
End date of the period for event querying. This will be used as <=. Format examples "2023-10-26T18:24:05.000+00:00" or "2023-10-26 18:24:05 UTC" or "2023-10-26"
The timezone to use for the date filtering
Returns a list with the companies and events with the number of times the event happened in a given period.
Names of the events to filter by. Can be ['started', 'finished', 'viewed']
The ID of the player to filter the results by.
Start date of the period for event querying. This will be used as >=. Format examples "2023-10-26T18:24:05.000+00:00" or "2023-10-26 18:24:05 UTC" or "2023-10-26"
End date of the period for event querying. This will be used as <=. Format examples "2023-10-26T18:24:05.000+00:00" or "2023-10-26 18:24:05 UTC" or "2023-10-26"
Returns a list with the companies grouped by its players and the number of times each event happened for each one in a given period.
Names of the events to filter by. Can be ['started', 'finished', 'viewed']
Start date of the period for event querying. This will be used as >=. Format examples "2023-10-26T18:24:05.000+00:00" or "2023-10-26 18:24:05 UTC" or "2023-10-26"
End date of the period for event querying. This will be used as <=. Format examples "2023-10-26T18:24:05.000+00:00" or "2023-10-26 18:24:05 UTC" or "2023-10-26"
Returns a list with the companies grouped by day and the number of times each event happened for each day in a given period.
The ID of the player to search for
Names of the events to filter by. Can be ['started', 'finished', 'viewed']
Start date of the period for event querying. This will be used as >=. Format examples "2023-10-26T18:24:05.000+00:00" or "2023-10-26 18:24:05 UTC" or "2023-10-26"
End date of the period for event querying. This will be used as <=. Format examples "2023-10-26T18:24:05.000+00:00" or "2023-10-26 18:24:05 UTC" or "2023-10-26"
The timezone to use for the date filtering
Provides leaderboard rankings of players based on their video engagement metrics (views, plays, pauses, etc...) within specified time periods. Multiple leaderboards with different player limits can be requested in a single call.
The ID of the company to search for
The timezone to use for date calculations (defaults to 'Etc/UCT' if not provided)
Returns an object containing the overall engagement of the users in a given period for the specified player.
The ID of the player to search for
The total duration of the video in seconds
Start date of the period for event querying. This will be used as >=. Format examples "2023-10-26T18:24:05.000+00:00" or "2023-10-26 18:24:05 UTC"
End date of the period for event querying. This will be used as <=. Format examples "2023-10-26T18:24:05.000+00:00" or "2023-10-26 18:24:05 UTC"
The timezone to use for the date filtering
Returns an array containing the overall engagement of the users in a given period for the specified player per day.
The ID of the player to search for
The total duration of the video in seconds
Start date of the period for event querying. This will be used as >=. Format examples "2023-10-26T18:24:05.000+00:00" or "2023-10-26 18:24:05 UTC"
End date of the period for event querying. This will be used as <=. Format examples "2023-10-26T18:24:05.000+00:00" or "2023-10-26 18:24:05 UTC"
The timezone to use for the date filtering
Returns an array containing the overall engagement of the users in a given period for the specified player per day.
The ID of the player to search for
The field to group the engagement by, possible values are 'country', 'browser', 'device_type', 'utm_campain', 'utm_source', 'utm_medium', 'utm_content', 'utm_term' If 'no_attribution' is passed, all values that have been set to null or that are empty strings will be returned.
The values to filter the field by, for example ['Brazil', 'Romenia'] or ['Chrome', 'Firefox']
Start date of the period for event querying. This will be used as >=. Format examples "2023-10-26T18:24:05.000+00:00" or "2023-10-26 18:24:05 UTC"
End date of the period for event querying. This will be used as <=. Format examples "2023-10-26T18:24:05.000+00:00" or "2023-10-26 18:24:05 UTC"
The timezone to use for the date filtering
Returns an array containing the overall engagement of the users in a given period for the specified player per day.
The ID of the player to search for
The query param key to group the engagement by, possible values example: 'utm_campain', 'utm_source', 'utm_medium', 'utm_content', 'utm_term'
The values to filter the query key parameter by, for example ['Facebook', 'Google', 'Campaign 1', 'Campaign 2']
Start date of the period for event querying. This will be used as >=. Format examples "2023-10-26T18:24:05.000+00:00" or "2023-10-26 18:24:05 UTC" or "2023-10-26"
End date of the period for event querying. This will be used as <=. Format examples "2023-10-26T18:24:05.000+00:00" or "2023-10-26 18:24:05 UTC" or "2023-10-26"
The timezone to use for the date filtering
Returns an object containing the all the clicks grouped by the time in seconds it happened related to the video.
The ID of the player to search for
Start date of the period for event querying. This will be used as >=. Format examples "2023-10-26T18:24:05.000+00:00" or "2023-10-26 18:24:05 UTC"
End date of the period for event querying. This will be used as <=. Format examples "2023-10-26T18:24:05.000+00:00" or "2023-10-26 18:24:05 UTC"
The timezone to use for the date filtering
Returns a list with the company clicks grouped by day in a given period.
The ID of the player to search for
Start date of the period for event querying. This will be used as >=. Format examples "2023-10-26T18:24:05.000+00:00" or "2023-10-26 18:24:05 UTC" or "2023-10-26"
End date of the period for event querying. This will be used as <=. Format examples "2023-10-26T18:24:05.000+00:00" or "2023-10-26 18:24:05 UTC" or "2023-10-26"
The timezone to use for the date filtering
Returns several statistics used by the headlines dashboard. Engagement, views and play rate are among these metrics
Start date of the period for event querying.
The player being analysed.
The duration of the video
The time in seconds that the video must be watched to be considered a pitch
Returns statistics for sessions grouped by a specified field for a given company and player within a date range.
The ID of the player to search for
Start date of the period for event querying. This will be used as >=. Format examples "2023-10-26T18:24:05.000+00:00" or "2023-10-26 18:24:05 UTC" or "2023-10-26"
End date of the period for event querying. This will be used as <=. Format examples "2023-10-26T18:24:05.000+00:00" or "2023-10-26 18:24:05 UTC" or "2023-10-26"
The field to group the statistics by
The total duration of the video in seconds
The timezone to use for the date filtering
The time in seconds that the video must be watched to be considered a pitch
Returns statistics for sessions grouped by a specified field for a given company and player within a date range and broke by day.
The ID of the player to search for
Start date of the period for event querying. This will be used as >=. Format examples "2023-10-26T18:24:05.000+00:00" or "2023-10-26 18:24:05 UTC" or "2023-10-26"
End date of the period for event querying. This will be used as <=. Format examples "2023-10-26T18:24:05.000+00:00" or "2023-10-26 18:24:05 UTC" or "2023-10-26"
The field to group the statistics by
The total duration of the video in seconds
The timezone to use for the date filtering
The time in seconds that the video must be watched to be considered a pitch
Returns statistics for traffic origin grouped by a specified query key for a given company and player within a date range.
The ID of the player to search for
Start date of the period for event querying. This will be used as >=. Format examples "2023-10-26T18:24:05.000+00:00" or "2023-10-26 18:24:05 UTC" or "2023-10-26"
End date of the period for event querying. This will be used as <=. Format examples "2023-10-26T18:24:05.000+00:00" or "2023-10-26 18:24:05 UTC" or "2023-10-26"
The query key to group the statistics by
The total duration of the video in seconds
The timezone to use for the date filtering
The time in seconds that the video must be watched to be considered a pitch
Returns statistics for traffic origin grouped by a specified query key for a given company and player within a date range and grouped by day.
The ID of the player to search for
Start date of the period for event querying. This will be used as >=. Format examples "2023-10-26T18:24:05.000+00:00" or "2023-10-26 18:24:05 UTC" or "2023-10-26"
End date of the period for event querying. This will be used as <=. Format examples "2023-10-26T18:24:05.000+00:00" or "2023-10-26 18:24:05 UTC" or "2023-10-26"
The query keys to group the statistics by
The total duration of the video in seconds
The timezone to use for the date filtering
The time in seconds that the video must be watched to be considered a pitch
Counts the utms of the given player. The values are src, sck, utm_source, utm_medium, utm_campaign, utm_term, utm_content, among any other valid query parameter
Start date of the period for event querying.
Start date of the period for event querying.
The player being analysed.
Returns several statistics used by the turbo dashboard. Speed, engagement, views, pitch and clicks are among these metrics
Start date of the period for event querying.
The player being analysed.
The duration of the video
The time in seconds that the video must be watched to be considered a pitch