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Author: mnightshade

dashboard_ENG.sql

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+--Dashbord : https://6c897994.us2a.app.preset.io/superset/dashboard/10/?native_filters_key=QY18IDYWkpHS3GEJC5Oz0IwFR_HpISJrRv3HS-y3crQdrgmjpqxOp4gyXeUYb9au
+-- Number of visitors
+select COUNT(distinct visitor_id)
+from sessions s 
+where visitor_id is not null;
+
+-- Most popular channel
+select source, count(source)
+from sessions
+group by source
+order by count(source) desc 
+limit 1;
+
+-- Most popular course
+select campaign, count(campaign)
+from sessions
+group by campaign 
+order by count(campaign) desc 
+limit 1;
+
+-- Visitors by channel and date
+select date(visit_date), source, count(source)
+from sessions
+group by 1, 2
+order by 3 desc;
+
+-- Pie chart by channels
+select source, count(source)
+from sessions
+group by 1
+order by 2 desc;
+
+-- Pie chart by medium
+select medium, count(medium)
+from sessions
+group by 1
+order by 2 desc;
+
+-- Pie chart by courses
+select campaign, count(campaign)
+from sessions
+group by 1
+order by 2 desc;
+
+-- Mediums by date
+select date(visit_date), medium, count(medium)
+from sessions
+group by 1, 2
+order by 3 desc;
+
+-- Courses by date
+select date(visit_date), campaign, count(campaign)
+from sessions
+group by 1, 2
+order by 3 desc;
+
+-- Conversion from click to lead
+with l_c as (
+    select date(created_at) as d, count(lead_id) as c
+    from leads l
+    group by 1
+),
+v_c as (
+    select date(s.visit_date) as d, count(distinct s.visitor_id) as c
+    from sessions s
+    group by 1
+)
+select v_c.d as date, round((l_c.c * 1.00 / v_c.c) * 100, 3) as conversion
+from v_c
+inner join l_c on l_c.d = v_c.d;
+
+-- Conversion from lead to deal by Last Paid Click
+select visit_date, (leads_count * 1.00 / purchase_count) * 100
+from aggregate_last_paid_click;
+
+-- Advertising costs by channel
+select visit_date, utm_source, total_coast
+from aggregate_last_paid_click;
+
+-- Advertising costs by courses
+select utm_campaign, total_coast
+from aggregate_last_paid_click;
+
+-- Advertising return on investment
+select utm_campaign, revenue - total_coast
+from aggregate_last_paid_click
+group by 1;
+
+-- Advertising return on investment
+select utm_source, revenue - total_coast
+from aggregate_last_paid_click
+group by 1;
+
+-- Metrics
+select utm_source, utm_medium, utm_campaign, visit_date,
+total_cost / visitors_count as cpu,
+total_cost / leads_count as cpl,
+total_cost / purchases_count as cppu,
+(revenue - total_cost) / total_cost * 100 as roi
+from aggregate_last_paid_click;
+
+-- Organic correlation by date
+select date(visit_date), medium, count(medium)
+from sessions
+group by 1, 2
+having medium = 'organic'
+order by 1;