I am attempting to pull a unique visitors report directly from our Adobe Analytics data as opposed to using the online report generator. In doing so, I made sure to filter for the recommended values based on this page: Identifying Visitors
However, the results of my queries are showing about 10% more unique visitors than in the online tool. Are there any additional metrics I should be filtering on?
Thanks in advance,
Jason
Below is the query I used to pull the unique visitors:
SELECT post_pagename,
(COUNT(DISTINCT(post_visid_high))),
(COUNT(DISTINCT(post_visid_low))),
(COUNT(DISTINCT(post_visid_high)) + COUNT(DISTINCT(post_visid_low))) AS visitors
FROM DB.table
WHERE date_time BETWEEN ('2017-11-08 00:00:00') AND ('2017-11-08 11:59:59')
AND exclude_hit = 0
AND hit_source NOT IN (5,7,8,9)
GROUP BY post_pagename
ORDER BY visitors DESC;
Solved! Go to Solution.
If you are just looking for Unique Visitors count, please try this:
SELECT COUNT(DISTINCT post_visid_high, post_visid_low) AS count_uv FROM
FROM DB.table
WHERE date_time BETWEEN ('2017-11-08 00:00:00') AND ('2017-11-08 11:59:59')
AND exclude_hit = 0
AND hit_source NOT IN (5,7,8,9);
If you are just looking for Unique Visitors count, please try this:
SELECT COUNT(DISTINCT post_visid_high, post_visid_low) AS count_uv FROM
FROM DB.table
WHERE date_time BETWEEN ('2017-11-08 00:00:00') AND ('2017-11-08 11:59:59')
AND exclude_hit = 0
AND hit_source NOT IN (5,7,8,9);
Do you have any tips on weekly unique visitors via querying clickstream data feed? I was able to get the daily query above to work perfectly via the where clause:
WHERE date_time LIKE ('2017-11-18%'), but when I use something like BETWEEN ('2017-11-08 00:00:00') AND ('2017-11-08 23:59:59') for the weekly version, the counts come back lower than expected (~9%). Again, thanks for the help!
Jason
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Do you have any tips on weekly unique visitors via querying clickstream data feed? I was able to get the daily query above to work perfectly via the where clause:
WHERE date_time LIKE ('2017-11-18%'), but when I use something like BETWEEN ('2017-11-08 00:00:00') AND ('2017-11-08 23:59:59') for the weekly version, the counts come back lower than expected (~9%). Again, thanks for the help!
Views
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Total Likes
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