jetstream/july-moments-page-fakespot.toml (130 lines of code) (raw):

[experiment] enrollment_query = """ WITH enrollments_raw AS ( SELECT e.client_id, `mozfun.map.get_key`(e.event_map_values, 'branch') AS branch, MIN(e.submission_date) AS enrollment_date, COUNT(e.submission_date) AS num_enrollment_events FROM `moz-fx-data-shared-prod.telemetry.events` e WHERE e.event_category = 'normandy' AND e.event_method = 'enroll' AND e.submission_date BETWEEN '2024-07-15' AND '2024-07-18' AND e.event_string_value = 'july-moments-page-fakespot' GROUP BY e.client_id, branch ), non_dupes AS ( SELECT client_id, COUNT(*) AS n_rows FROM enrollments_raw GROUP BY 1 HAVING n_rows = 1 ), cleaned AS ( SELECT er.* FROM enrollments_raw er INNER JOIN non_dupes USING(client_id) WHERE num_enrollment_events = 1 ) SELECT * FROM cleaned """ [metrics] weekly = [ 'any_surface_onboarding_displayed', 'any_surface_opt_in_clicked', 'any_surface_displayed', 'total_surface_displayed', 'any_interaction', 'total_interaction', ] overall = [ 'any_surface_onboarding_displayed', 'any_surface_opt_in_clicked', 'any_surface_displayed', 'total_surface_displayed', 'any_interaction', 'total_interaction' ] [metrics.any_surface_onboarding_displayed] description = "The proportion of clients interacting with review checker onboarding" select_expression = 'CAST(COALESCE(SUM(is_exposed_event),0) > 0 AS INT)' data_source = 'review_checker_events' [metrics.any_surface_onboarding_displayed.statistics.binomial] [metrics.any_surface_opt_in_clicked] description = "The proportion of clients opting-in to review checker" select_expression = 'CAST(COALESCE(SUM(is_opt_in_event),0) > 0 AS INT)' data_source = 'review_checker_events' [metrics.any_surface_opt_in_clicked.statistics.binomial] [metrics.any_surface_displayed] description = "The proportion of clients seeing the surface at least once" select_expression = 'CAST(COALESCE(SUM(is_surface_displayed),0) > 0 AS INT)' data_source = 'review_checker_events' [metrics.any_surface_displayed.statistics.binomial] [metrics.total_surface_displayed] description = "The total number of surface displays" select_expression = 'COALESCE(SUM(is_surface_displayed),0)' data_source = 'review_checker_events' [metrics.total_surface_displayed.statistics.bootstrap_mean] drop_highest = 0 [metrics.any_interaction] description = "The proportion of clients interacting with the surface at least once" select_expression = 'CAST(COALESCE(SUM(is_engaged_with_sidebar),0) > 0 AS INT)' data_source = 'review_checker_events' [metrics.any_interaction.statistics.binomial] [metrics.total_interaction] description = "The total number of surface interactions" select_expression = 'COALESCE(SUM(is_engaged_with_sidebar),0)' data_source = 'review_checker_events' [metrics.total_interaction.statistics.bootstrap_mean] drop_highest = 0 [data_sources] [data_sources.review_checker_events] # borrowed from: # https://github.com/mozilla/bigquery-etl/blob/71e32d33bcff3e417395de5e2a839e4ce1df8f87/sql/moz-fx-data-shared-prod/firefox_desktop_derived/review_checker_events_v1/query.sql # modified to include legacy client id from_expression = """( SELECT DATE(submission_timestamp) AS submission_date, client_info.client_id AS glean_client_id, metrics.uuid.legacy_telemetry_client_id AS client_id, CASE WHEN name = 'surface_onboarding_displayed' THEN 1 ELSE 0 END is_exposed_event, CASE WHEN name = 'surface_opt_in_clicked' THEN 1 ELSE 0 END is_opt_in_event, CASE WHEN name = 'surface_displayed' THEN 1 ELSE 0 END is_surface_displayed, CASE WHEN name IN ( 'surface_analyze_reviews_none_available_clicked', 'surface_learn_more_clicked', 'surface_no_review_reliability_available', 'surface_not_now_clicked', 'surface_powered_by_fakespot_link_clicked', 'surface_reactivated_button_clicked', 'surface_reanalyze_clicked', 'surface_settings_expand_clicked', 'surface_show_more_reviews_button_clicked', 'surface_show_privacy_policy_clicked', 'surface_show_quality_explainer_clicked', 'surface_show_quality_explainer_url_clicked', 'surface_show_terms_clicked' ) THEN 1 ELSE 0 END AS is_engaged_with_sidebar, ping_info, normalized_channel, normalized_country_code, sample_id, mozfun.norm.truncate_version(client_info.app_display_version, 'major') AS os_version, metrics.uuid.legacy_telemetry_profile_group_id AS profile_group_id, FROM `moz-fx-data-shared-prod.firefox_desktop_stable.events_v1` AS e, UNNEST(events) WHERE DATE(submission_timestamp) >= '2023-07-16' AND category = 'shopping' )""" experiments_column_type = "glean"