¿Informe mes a mes de las principales fuentes de tráfico?

Datos e informes
,
1

Hola,

Estoy intentando generar un informe de las principales fuentes de tráfico mes a mes. Me gustaría ver cómo cambiaron nuestras fuentes cada mes, todo dentro de un mismo gráfico/tabla. ¿Hay alguna forma de obtener estos datos?

Actualmente, solo puedo obtener los totales para el período completo de 5 meses que me interesa:

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Gracias,

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

Hola, acabo de volver de cenar y actualicé la consulta; podrías probarla, si tienes algún avance, házmelo saber :smiley:. Mi servidor de Discourse es uno recién creado, así que no hay datos suficientes para consultar. Creé algunos datos ficticios en mi SQL Server y luego los transferí a PGSQL.

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5

Solo para comprobar, ¿has probado esta vez? :slight_smile:

Puede que tenga malas noticias… :disappointed_face: No creo que date_trunc esté funcionando como esperabas:

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image1402×330 10.1 KB

1 me gusta
7

En caso de que sea útil para alguien que intente esta adaptación, aquí tienes una versión del informe Principales fuentes de tráfico en 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 "Dominio",
       cl.clicks AS "Clics",
       ct.topics AS "Temas"
FROM count_links cl
JOIN count_topics ct ON cl.domain = ct.domain
LIMIT 10
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