Pendo: Feature Daily Metrics
Description
Table capturing daily event metrics for tracked features, from the day that the feature was created to either it's
valid_through
date or the date of its last tracked event (whichever is later).
Supported Data Sources
Pendo
Columns
DATE
date_day
Day for which these metrics were calculated.
STRING
feature_id
Unique identifier of the feature.
STRING
feature_name
Name of the feature.
STRING
group_id
Foreign key referencing the GROUP
(product area) that the feature is tagged under.
STRING
product_area_name
Name of the product area (ie GROUP
) that the feature is tagged under.
STRING
page_id
Foreign key referencing the PAGE
that the feature is placed on.
STRING
page_name
Name of the page that the feature lives on.
INTEGER
sum_clicks
Total daily number of tracked clicks (based on event.num_events
)
INTEGER
count_visitors
Count of distinct visitors who clicked on the feature on this day.
INTEGER
count_accounts
Count of distinct accounts that were logged in feature_event
on this day.
INTEGER
count_first_time_visitors
Count of visitors for whom their first interaction with the feature was on this day.
INTEGER
count_first_time_accounts
Count of accounts for whom their first interaction with the feature was on this day.
INTEGER
count_return_visitors
Count of visitors who clicked on the feature prior to this day as well.
INTEGER
count_return_accounts
Count of accounts who clicked on the feature prior to this day as well.
INTEGER
avg_daily_minutes_per_visitor
For the day, the average time spent interacting with the feature per visitor.
INTEGER
avg_daily_clicks_per_visitor
For the day, the average sum of clicks per visitor.
INTEGER
percent_of_daily_feature_clicks
Relative to the total number of clicks on ALL features, the percentage that were clicks on this feature.
INTEGER
percent_of_daily_feature_visitors
Relative to the total number of visitors clicking on ALL features, the percentage that were visitors clicking on this feature.
INTEGER
percent_of_daily_feature_accounts
Relative to the total number of accounts clicking on ALL features, the percentage that were accounts clicking on this feature.
INTEGER
count_click_events
Count of records in feature_event
for this feature on this day.
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