diff --git a/api/chalicelib/blueprints/subs/bp_insights.py b/api/chalicelib/blueprints/subs/bp_insights.py
index fc40885b7..30894028b 100644
--- a/api/chalicelib/blueprints/subs/bp_insights.py
+++ b/api/chalicelib/blueprints/subs/bp_insights.py
@@ -95,6 +95,17 @@ def get_feature_intensity(projectId, context):
     return {"data": insights.feature_intensity(project_id=projectId, **{**data, **args})}
 
 
+@app.route('/{projectId}/insights/feature_adoption', methods=['GET', 'POST'])
+def get_feature_adoption(projectId, context):
+    data = app.current_request.json_body
+    if data is None:
+        data = {}
+    params = app.current_request.query_params
+    args = dashboard.dashboard_args(params)
+
+    return {"data": insights.feature_adoption(project_id=projectId, **{**data, **args})}
+
+
 @app.route('/{projectId}/insights/users_active', methods=['GET', 'POST'])
 def get_users_active(projectId, context):
     data = app.current_request.json_body
diff --git a/api/chalicelib/core/insights.py b/api/chalicelib/core/insights.py
index 7c06e4c8c..0df8e63b0 100644
--- a/api/chalicelib/core/insights.py
+++ b/api/chalicelib/core/insights.py
@@ -526,6 +526,76 @@ def feature_popularity_frequency(project_id, startTimestamp=TimeUTC.now(delta_da
     return popularity
 
 
+@dev.timed
+def feature_adoption(project_id, startTimestamp=TimeUTC.now(delta_days=-70), endTimestamp=TimeUTC.now(),
+                     filters=[],
+                     **args):
+    startTimestamp = TimeUTC.trunc_week(startTimestamp)
+    endTimestamp = startTimestamp + 10 * TimeUTC.MS_WEEK
+    pg_sub_query = __get_constraints(project_id=project_id, data=args, duration=True, main_table="sessions",
+                                     time_constraint=True)
+    event_type = "CLICK"
+    event_value = '/'
+    extra_values = {}
+    default = True
+    for f in filters:
+        if f["type"] == "EVENT_TYPE" and JOURNEY_TYPES.get(f["value"]):
+            event_type = f["value"]
+        elif f["type"] == "EVENT_VALUE":
+            event_value = f["value"]
+            default = False
+        elif f["type"] in [sessions_metas.meta_type.USERID, sessions_metas.meta_type.USERID_IOS]:
+            pg_sub_query.append(f"sessions.user_id = %(user_id)s")
+    event_table = JOURNEY_TYPES[event_type]["table"]
+    event_column = JOURNEY_TYPES[event_type]["column"]
+    with pg_client.PostgresClient() as cur:
+        pg_query = f"""SELECT  COUNT(DISTINCT user_id) AS count
+                        FROM sessions
+                        WHERE {" AND ".join(pg_sub_query)}
+                            AND user_id IS NOT NULL;"""
+        params = {"project_id": project_id, "startTimestamp": startTimestamp,
+                  "endTimestamp": endTimestamp, **__get_constraint_values(args)}
+        # print(cur.mogrify(pg_query, params))
+        # print("---------------------")
+        cur.execute(cur.mogrify(pg_query, params))
+        all_user_count = cur.fetchone()["count"]
+        if all_user_count == 0:
+            return {"adoption": 0, "target": 0, "filters": [{"type": "EVENT_TYPE", "value": event_type},
+                                                            {"type": "EVENT_VALUE", "value": event_value}], }
+        pg_sub_query.append("feature.timestamp >= %(startTimestamp)s")
+        pg_sub_query.append("feature.timestamp < %(endTimestamp)s")
+        pg_sub_query.append(f"length({event_column})>2")
+        if default:
+            # get most used value
+            pg_query = f"""SELECT {event_column} AS value, COUNT(*) AS count
+                        FROM {event_table} AS feature INNER JOIN public.sessions USING (session_id)
+                        WHERE {" AND ".join(pg_sub_query[:-1])}
+                                AND length({event_column}) > 2
+                        GROUP BY value
+                        ORDER BY count DESC
+                        LIMIT 1;"""
+            params = {"project_id": project_id, "startTimestamp": startTimestamp,
+                      "endTimestamp": endTimestamp, **__get_constraint_values(args), **extra_values}
+            cur.execute(cur.mogrify(pg_query, params))
+            row = cur.fetchone()
+            if row is not None:
+                event_value = row["value"]
+        extra_values["value"] = event_value
+        pg_sub_query.append(f"feature.{event_column} = %(value)s")
+        pg_query = f"""SELECT COUNT(DISTINCT user_id) AS count
+                    FROM {event_table} AS feature INNER JOIN sessions USING (session_id)
+                    WHERE {" AND ".join(pg_sub_query)}
+                        AND user_id IS NOT NULL;"""
+        params = {"project_id": project_id, "startTimestamp": startTimestamp,
+                  "endTimestamp": endTimestamp, **__get_constraint_values(args), **extra_values}
+        # print(cur.mogrify(pg_query, params))
+        # print("---------------------")
+        cur.execute(cur.mogrify(pg_query, params))
+        adoption = cur.fetchone()["count"] / all_user_count
+    return {"target": all_user_count, "adoption": adoption,
+            "filters": [{"type": "EVENT_TYPE", "value": event_type}, {"type": "EVENT_VALUE", "value": event_value}]}
+
+
 @dev.timed
 def feature_intensity(project_id, startTimestamp=TimeUTC.now(delta_days=-70), endTimestamp=TimeUTC.now(),
                       filters=[],