Month over month top traffic sources report?

data & reporting
,
1

Hello,

I’m trying to generate a month-over-month top traffic sources report. It would be cool to see how our sources changed each month, all within one graph/table. Is there any way to get this data?

Currently I can only get the totals for the full 5 month period that I am interested in:

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Thanks,

Nacho

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2 
WITH traffic_sources AS (
  SELECT
    EXTRACT(MONTH FROM user_visits.visited_at) AS month,
    incoming_referers.incoming_domain_id,
    COUNT(*) AS visit_count,
    LAG(COUNT(*)) OVER (PARTITION BY incoming_referers.incoming_domain_id ORDER BY EXTRACT(MONTH FROM user_visits.visited_at)) AS prev_month_visit_count
  FROM  user_visits 
  JOIN  incoming_referers	 
  ON	user_visits.user_id = incoming_referers.id
  WHERE user_visits.visited_at IS NOT NULL
  GROUP BY EXTRACT(MONTH FROM user_visits.visited_at), incoming_referers.incoming_domain_id
)
SELECT
  month,
  incoming_domain_id,
  visit_count,
  prev_month_visit_count,
  visit_count - COALESCE(prev_month_visit_count, 0) AS change
FROM traffic_sources
ORDER BY month, incoming_domain_id

Hi Just came back from my dinner and updated the query; you could please have a try, if you have any progress, please let me know :smiley:. My discourse server is a newly created one so there aren’t sufficient data to query, I created some dummy data in my SQL Server, then transferred it to PGSQL.

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5

Just to check, have you tested this one out this time? :slight_smile:

I may have some bad news… :frowning: I don’t think the date_trunc is working as you what it to:

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7

In case it’s useful to anyone attempting this adaptation, here’s a version of the Top Traffic Sources report In SQL:


-- [params]
-- date :start_date = 04/05/2023
-- date :end_date = 05/06/2023

WITH count_links AS (
  
SELECT COUNT(*) AS clicks,
       ind.name AS domain
FROM incoming_links il
INNER JOIN posts p ON p.deleted_at ISNULL AND p.id = il.post_id
INNER JOIN topics t ON t.deleted_at ISNULL AND t.id = p.topic_id
INNER JOIN incoming_referers ir ON ir.id = il.incoming_referer_id
INNER JOIN incoming_domains ind ON ind.id = ir.incoming_domain_id
WHERE t.archetype = 'regular'
  AND il.created_at > :start_date
  AND il.created_at < :end_date
GROUP BY ind.name
ORDER BY clicks DESC
), 

count_topics AS (
  
SELECT COUNT(DISTINCT p.topic_id) AS topics,
       ind.name AS domain
FROM incoming_links il
INNER JOIN posts p ON p.deleted_at ISNULL AND p.id = il.post_id
INNER JOIN topics t ON t.deleted_at ISNULL AND t.id = p.topic_id
INNER JOIN incoming_referers ir ON ir.id = il.incoming_referer_id
INNER JOIN incoming_domains ind ON ind.id = ir.incoming_domain_id
WHERE t.archetype = 'regular'
  AND il.created_at > (CURRENT_TIMESTAMP - INTERVAL '30 DAYS')
GROUP BY ind.name
) 

SELECT cl.domain AS "Domain", 
       cl.clicks AS "Clicks", 
       ct.topics AS "Topics"
FROM count_links cl
JOIN count_topics ct ON cl.domain = ct.domain
LIMIT 10
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