data layer

data-layer/infra/clickhouse/funnel_analysis.sql.tmpl

@@ -0,0 +1,35 @@
+-- Funnel Analysis -- count users reaching each step in order within window.
+--
+-- Required parameters (clickhouse.Named):
+--   workspace_id   : String
+--   from           : DateTime64(3,'UTC')
+--   to             : DateTime64(3,'UTC')
+--   window_seconds : UInt32
+--   step{i}        : String  for i in 0..N-1
+--
+-- Template inputs:
+--   .Steps        : []struct{ Index int; Last bool }
+--   .StepCount    : int
+SELECT
+    step,
+    countIf(level >= step)                                  AS reached,
+    if(step = 1, 1.0, countIf(level >= step) / countIf(level >= 1)) AS conversion_rate
+FROM (
+    SELECT
+        user_id,
+        windowFunnel({window_seconds:UInt32})(
+            timestamp,
+{{- range $i, $s := .Steps }}
+            event = {step{{ $s.Index }}:String}{{ if not $s.Last }},{{ end }}
+{{- end }}
+        ) AS level
+    FROM events_track
+    WHERE workspace_id = {workspace_id:String}
+      AND received_at >= {from:DateTime64(3,'UTC')}
+      AND received_at <  {to:DateTime64(3,'UTC')}
+      AND user_id != ''
+    GROUP BY user_id
+) AS f
+ARRAY JOIN range(1, toUInt32({{ .StepCount }}) + 1) AS step
+GROUP BY step
+ORDER BY step