jetstream/pin-email-and-calendar-tabs-existing-user.toml

friendly_name = "Pin Email and Calendar Tabs Existing User"
description = "Usage metrics for tab pinning."

[metrics]

weekly = [
    'any_pinned_tab_rate',
    'more_than_one_pinned_tab_rate',
    'tab_pinned_event_count',
    'concurrent_pinned_tab_count',
    'tab_reload_count',
]

overall = [
    'any_pinned_tab_rate',
    'more_than_one_pinned_tab_rate',
    'tab_pinned_event_count',
    'concurrent_pinned_tab_count',
    'tab_reload_count',
]

[metrics.any_pinned_tab_rate]
select_expression = """
    CAST(COALESCE(SUM(browser_engagement_tab_pinned_event_count), 0) > 0 AS INT64)
"""
friendly_name = "Any pinned tab rate"
description = "Proportion of sessions where at least one tab was pinned."
data_source = "main_filtered"
type = "scalar"

[metrics.any_pinned_tab_rate.statistics.binomial]

[metrics.more_than_one_pinned_tab_rate]
select_expression = """
    CAST(COALESCE(SUM(browser_engagement_tab_pinned_event_count), 0) > 1 AS INT64)
"""
friendly_name = "More than one pinned tab rate"
description = "Proportion of sessions where more than one tab was pinned."
data_source = "main_filtered"
type = "scalar"

[metrics.more_than_one_pinned_tab_rate.statistics.binomial]

# The number of tab pin events within a subsession
[metrics.tab_pinned_event_count]
select_expression = """
    COALESCE(SUM(browser_engagement_tab_pinned_event_count), 0)
"""
friendly_name = "More than one pinned tab rate"
description = "Proportion of sessions where more than one tab was pinned."
data_source = "main_filtered"
type = "scalar"
[metrics.tab_pinned_event_count.statistics.bootstrap_mean]
#[metrics.tab_pinned_event_count.statistics.deciles]

# The maximum number of pinned tabs open during a subsession.
[metrics.concurrent_pinned_tab_count]
select_expression = """
    COALESCE(SUM(browser_engagement_max_concurrent_tab_pinned_count), 0)
"""
friendly_name = "More than one pinned tab rate"
description = "Proportion of sessions where more than one tab was pinned."
data_source = "main_filtered"
type = "scalar"
[metrics.concurrent_pinned_tab_count.statistics.bootstrap_mean]
#[metrics.concurrent_pinned_tab_count.statistics.deciles]

# The count of tab reload events by the user after unloaded -- a proxy for returning to pinned tabs.
[metrics.tab_reload_count]
select_expression = """
    COALESCE(SUM(browser_engagement_tab_reload_count), 0)
"""
friendly_name = "More than one pinned tab rate"
description = "Proportion of sessions where more than one tab was pinned."
data_source = "main_filtered"
type = "scalar"
[metrics.tab_reload_count.statistics.bootstrap_mean]
#[metrics.tab_reload_count.statistics.deciles]

[data_sources]
[data_sources.main_filtered]

from_expression = """(
    SELECT
        client_id, 
        payload.processes.parent.scalars.browser_engagement_tab_pinned_event_count AS browser_engagement_tab_pinned_event_count, 
        payload.processes.parent.scalars.browser_engagement_max_concurrent_tab_pinned_count AS browser_engagement_max_concurrent_tab_pinned_count,
        payload.processes.parent.scalars.browser_engagement_tab_reload_count AS browser_engagement_tab_reload_count,
        DATE(submission_timestamp) AS submission_date,
        environment.experiments
    FROM `moz-fx-data-shared-prod.telemetry_stable.main_v5`
    WHERE 
        DATE(submission_timestamp) BETWEEN '2024-07-29' AND '2024-09-10'
        AND normalized_channel = 'release'
)"""
experiments_column_type = "native"
friendly_name = "Main"
description = "Main ping table"