Group Visit Activity
I have been working on queries that look at activity by groups.
- Unique visitors
- Total Visits
- Mobile versus Desktop Visits
- Percent of Group Membership Visiting
- Avg Read Time per Visit
- Avg Posts Read per Visit
- Avg Read Time per Member
- Avg Posts Read per Member
Questions
- I am suspecting that the
user_visitstable only captures one record per unique user_id per day givenvisited_atis a DATE and not a DATETIME or TIMESTAMP even if they happen to visit multiple times in a day, from multiple device types. When I run my query by DAY, I see the total unique members are equal to the total number of visits. Can someone confirm if my assumption is correct? If it is, the follow-up question becomes what happens to the value formobileif the user visits three times in a day from a laptop, desktop, then phone, in any order? - Oddly, I also see that the
AVG(uv.posts_read)is not the same value asSUM(uv.posts_read)/COUNT(DISTINCT(uv.user_id), so I would be curious to hear where my query is making a wrong turn or if I am interpreting theuser_visitstable or fields incorrectly. Can someone chime in on the difference between those two calculations?
Query:
Summary
-- [params]
-- null string :group_name = YourGroupName
-- date :start_date = 2019/09/01
-- date :end_date = 2019/10/01
-- null string :frame = day
with mobile as (
SELECT uv.id,
count(DISTINCT(uv.user_id)) as UniqueMobile,
date_part(:frame, uv.visited_at::date) as Day,
g.name as GroupName
from user_visits uv
join users u on uv.user_id = u.id
join group_users gu on gu.user_id = u.id
join groups g on g.id = gu.group_id
where mobile = true
and uv.visited_at >= :start_date::date
and uv.visited_at < :end_date::date
and g.name = :group_name
GROUP BY GroupName, Day, uv.id
),
desktop as (
SELECT uv.id,
count(DISTINCT(uv.user_id)) as UniqueDesktop,
date_part(:frame, uv.visited_at::date) as Day,
g.name as GroupName
from user_visits uv
join users u on uv.user_id = u.id
join group_users gu on gu.user_id = u.id
join groups g on g.id = gu.group_id
where mobile = false
and uv.visited_at >= :start_date::date
and uv.visited_at < :end_date::date
and g.name = :group_name
GROUP BY GroupName, Day, uv.id
)
SELECT
date_part(:frame, uv.visited_at::date) as VisitDate,
count(DISTINCT(uv.user_id)) as UniqueMembers,
count(uv.id) as AllVisits,
count(m.UniqueMobile) as MobileVisits,
count(d.UniqueDesktop) as DesktopVisits,
round((count(DISTINCT(uv.user_id)) * 100.0) / groups.user_count, 2) as Percent,
round(avg(uv.posts_read),2) as "Posts Read (avg Visit)",
(interval '1' minute * ROUND((cast(AVG(uv.time_read) as decimal)/60), 2)) as "Read Time (avg Visit)",
(SUM(uv.posts_read)/count(DISTINCT(uv.user_id))) as "Posts Read (avg Member)",
date_trunc('second',(interval '1' minute * (ROUND((cast(SUM(uv.time_read) as decimal)/60), 2)/(count(DISTINCT(uv.user_id)))))) as "Read Time (avg Member)"
FROM users
join group_users on group_users.user_id = users.id
join groups on group_users.group_id = groups.id
LEFT join user_visits uv on uv.user_id = users.id
LEFT JOIN mobile m ON m.id = uv.id
LEFT JOIN desktop d ON d.id = uv.id
where groups.name = :group_name
AND uv.visited_at::date >= :start_date
and uv.visited_at::date < :end_date
group by VisitDate, groups.user_count
order by VisitDate asc