Sponsored tiles outcome metrics (#1205)

Co-authored-by: Daniel Berry <[email protected]>

Author: soGaussian

definitions/fenix.toml

@@ -503,8 +503,8 @@ data_source = "fenix_engagement_view"
 select_expression = "SUM(dau) / SUM(mau)"
 type = "scalar"
 description = """
-    The Engagement Rate is calculated as the ratio between DAU and MAU. For each day, we use the single-day DAU number and divide 
-    it by the MAU corresponding to the 28-day period ending on that day. For OKR reporting, we then calculate a 
+    The Engagement Rate is calculated as the ratio between DAU and MAU. For each day, we use the single-day DAU number and divide
+    it by the MAU corresponding to the 28-day period ending on that day. For OKR reporting, we then calculate a
     28-day moving average of this number. More information is provided on the
     [New Profiles, Retention and Engagement Rate Confluence Page](https://mozilla-hub.atlassian.net/wiki/spaces/DATA/pages/814481685/Firefox+New+Profiles+Retention+and+Engagement#Engagement-Rate).
 """
@@ -528,7 +528,7 @@ data_source = "fenix_retention_view"
 select_expression = "SUM(retained_week_4_new_profiles) / SUM(new_profiles_metric_date)"
 type = "scalar"
 description = """
-    The New Profile Retention Rate is calculated as the proportion of new profiles that are active on the 4th week after the metric date. 
+    The New Profile Retention Rate is calculated as the proportion of new profiles that are active on the 4th week after the metric date.
     More information is provided on the
     [New Profiles, Retention and Engagement Rate Confluence Page](https://mozilla-hub.atlassian.net/wiki/spaces/DATA/pages/814481685/Firefox+New+Profiles+Retention+and+Engagement#New-Profile-Retention).
 """
@@ -596,6 +596,27 @@ description = "Events Ping"
 build_id_column = "REPLACE(CAST(DATE(mozfun.norm.fenix_build_to_datetime(client_info.app_build)) AS STRING), '-', '')"
 
 
+[data_sources.sponsored_tiles_events_stream]
+from_expression = """(
+    SELECT
+        p.client_id,
+        p.event_category,
+        p.event_name,
+        p.experiments,
+        p.event_extra,
+        DATE(p.submission_timestamp) AS submission_date
+    FROM
+        `moz-fx-data-shared-prod.{dataset}.events_stream` p
+    WHERE p.event_category in ('customize_home', 'top_sites')
+)"""
+client_id_column = "client_id"
+experiments_column_type = "events_stream"
+default_dataset = "fenix"
+friendly_name = "Sponsored Tiles Events Stream"
+description = "Sponsored tiles Events pings from events stream"
+build_id_column = "REPLACE(CAST(DATE(mozfun.norm.fenix_build_to_datetime(client_info.app_build)) AS STRING), '-', '')"
+
+
 [data_sources.events_stream_awesomebar]
 from_expression = """(
     SELECT
@@ -730,7 +751,7 @@ LEFT JOIN (
   FROM
     `mozdata.org_mozilla_firefox.events_stream` tm
 
-  WHERE event_category = "onboarding" 
+  WHERE event_category = "onboarding"
     AND JSON_QUERY(event_extra, "$.action") IS NOT NULL
     AND event_name in  ("set_to_default", "turn_on_notifications", "sign_in")
   AND DATE(submission_timestamp) >= "2023-01-01"

jetstream/outcomes/fenix/sponsored_tiles.toml

@@ -7,11 +7,11 @@ friendly_name = "Sponsored Tiles Impressions"
 description = "Number of times Contile Sponsored Tiles are shown."
 select_expression = """
       COALESCE(COUNTIF(
-          event.category = 'top_sites'
-          AND event.name = 'contile_impression'
+          event_category = 'top_sites'
+          AND event_name = 'contile_impression'
       ),0)
 """
-data_source = "events"   
+data_source = "sponsored_tiles_events_stream"
 statistics = { bootstrap_mean = {}, deciles = {} }
 
 
@@ -20,37 +20,38 @@ friendly_name = "Sponsored Tiles Clicks"
 description = "Number of times user clicked a Contile Sponsored Tile."
 select_expression = """
       COALESCE(COUNTIF(
-          event.category = 'top_sites'
-          AND event.name = 'contile_click'
+          event_category = 'top_sites'
+          AND event_name = 'contile_click'
       ),0)
 """
-data_source = "events" 
+data_source = "sponsored_tiles_events_stream"
 statistics = { bootstrap_mean = {}, deciles = {} }
 
 [metrics.spoc_tiles_disable_rate]
-select_expression = """   
+select_expression = """
   COALESCE(MAX(
     CAST(
        metrics.boolean.customize_home_contile AS int )
   ),0)
 """
-data_source = "metrics" 
+data_source = "metrics"
 bigger_is_better = false
 friendly_name = "Sponsored Tiles Disable Rate"
 description = "Fraction of users who disable Contile Sponsored Tiles"
 [metrics.spoc_tiles_disable_rate.statistics.binomial]
 
 [metrics.spoc_tiles_preference_toggled]
-select_expression = """   
+select_expression = """
   COALESCE(SUM(CASE WHEN
-          event.category = 'customize_home'
-          AND event.name = 'preference_toggled'
-          AND `mozfun.map.get_key`(event.extra, 'preference_key') = 'contile'
+          event_category = 'customize_home'
+          AND event_name = 'preference_toggled'
+		  AND JSON_VALUE(event_extra, '$.preference_key') = 'contile'
+          --AND `mozfun.map.get_key`(event_extra, 'preference_key') = 'contile'
 	THEN 1 ELSE 0 END
   ),0)
 """
-data_source = "events" 
+data_source = "sponsored_tiles_events_stream"
 bigger_is_better = false
 friendly_name = "Sponsored Tiles Preference Toggled"
 description = "Number of times Contile Sponsored Tiles setting is flipped."
-statistics = { bootstrap_mean = {}, deciles = {} } 
+statistics = { bootstrap_mean = {}, deciles = {} }

jetstream/search-middle.toml

@@ -0,0 +1,8 @@
+[experiment]
+
+start_date = "2025-09-03"
+
+#enrollment_end_date = "2025-09-25"
+enrollment_period = 22
+
+end_date = "2025-10-29"