Returns a list of insights for a metric. These are the worst performing values across all breakdowns sorted by how much they negatively impact a specific metric.
ID of the Metric
Measurement for the provided metric. If omitted, the default for the metric will be used.
The default measurement for each metric is:
"sum" : ad_attempt_count, ad_break_count, ad_break_error_count, ad_error_count, ad_impression_count, playing_time
"median" : ad_preroll_startup_time, aggregate_startup_time, content_startup_time, max_downscale_percentage, max_upscale_percentage, page_load_time, player_average_live_latency, player_startup_time, rebuffer_count, rebuffer_duration, requests_for_first_preroll, video_startup_preroll_load_time, video_startup_preroll_request_time, video_startup_time, view_average_request_latency, view_average_request_throughput, view_max_request_latency, weighted_average_bitrate
"avg" : ad_break_error_percentage, ad_error_percentage, ad_exit_before_start_count, ad_exit_before_start_percentage, ad_playback_failure_percentage, ad_startup_error_count, ad_startup_error_percentage, content_playback_failure_percentage, downscale_percentage, exits_before_video_start, playback_business_exception_percentage, playback_failure_percentage, playback_success_score, rebuffer_frequency, rebuffer_percentage, seek_latency, smoothness_score, startup_time_score, upscale_percentage, video_quality_score, video_startup_business_exception_percentage, video_startup_failure_percentage, view_dropped_percentage, viewer_experience_score
"count" : started_views, unique_viewers
Sort order.
Timeframe window to limit results by. Must be provided as an array query string parameter (e.g. timeframe[]=).
Accepted formats are...
timeframe[]=1498867200&timeframe[]=1498953600timeframe[]=24:hours or timeframe[]=7:daysLimit the results to rows that match conditions from provided key:value pairs. Must be provided as an array query string parameter.
To exclude rows that match a certain condition, prepend a ! character to the dimension.
Possible filter names are the same as returned by the List Filters endpoint.
Example:
filters[]=operating_system:windows&filters[]=!country:USLimit the results to rows that match inequality conditions from provided metric comparison clauses. Must be provided as an array query string parameter.
Possible filterable metrics are the same as the set of metric ids, with the exceptions of exits_before_video_start, unique_viewers, video_startup_failure_percentage, view_dropped_percentage, and views.
Example:
metric_filters[]=aggregate_startup_time>=1000{
"total_row_count": 18,
"timeframe": [
1610029610,
1610116010
],
"meta": {
"aggregation": "view_end"
},
"data": [
{
"total_watch_time": 351144,
"total_playing_time": 341144,
"total_views": 1,
"negative_impact_score": -5,
"metric": 9,
"filter_value": "",
"filter_column": "video_title"
},
{
"total_watch_time": 513934,
"total_views": 5,
"negative_impact_score": 0,
"metric": 4,
"filter_value": "US",
"filter_column": "country"
}
]
}