VisitId between (different) date range for each user - google-analytics

Question

For each fullvisitorId, i'm trying to get all visitId between date_1 and date_2. which is of-course differ for each user.
Can anyone give any pointers how I can go about doing this?
for example:
user_1: i'd like all visitId between 1st & 20th June
user_2: i'd like all visitId between 12th & 27th June
... and so son
date_1 and date_2 correspond to important actions (Event hits) they took on the site. Download Trial & Purchase
Thanks in advance for any leads in this.

Answer 1

One possible way of solving this is using analytical functions. As an example:
#standardSQL
WITH data AS(
select '1' as user, '1' as visitid, '20170520' as date, ARRAY<STRUCT<hitNumber INT64, eventInfo STRUCT<eventCategory STRING> >> [STRUCT(1 as hitNumber, STRUCT('event1' as eventCategory) as eventInfo)] hits UNION ALL
select '1' as user, '2' as visitid, '20170521' as date, ARRAY<STRUCT<hitNumber INT64, eventInfo STRUCT<eventCategory STRING> >> [STRUCT(1 as hitNumber, STRUCT('' as eventCategory) as eventInfo)] hits UNION ALL
select '1' as user, '3' as visitid, '20170522' as date, ARRAY<STRUCT<hitNumber INT64, eventInfo STRUCT<eventCategory STRING> >> [STRUCT(1 as hitNumber, STRUCT('event2' as eventCategory) as eventInfo)] hits UNION ALL
select '1' as user, '4' as visitid, '20170523' as date, ARRAY<STRUCT<hitNumber INT64, eventInfo STRUCT<eventCategory STRING> >> [STRUCT(1 as hitNumber, STRUCT('' as eventCategory) as eventInfo)] hits UNION ALL
select '2' as user, '1' as visitid, '20170520' as date, ARRAY<STRUCT<hitNumber INT64, eventInfo STRUCT<eventCategory STRING> >> [STRUCT(1 as hitNumber, STRUCT('event1' as eventCategory) as eventInfo)] hits UNION ALL
select '2' as user, '2' as visitid, '20170521' as date, ARRAY<STRUCT<hitNumber INT64, eventInfo STRUCT<eventCategory STRING> >> [STRUCT(1 as hitNumber, STRUCT('event2' as eventCategory) as eventInfo)] hits UNION ALL
select '2' as user, '3' as visitid, '20170522' as date, ARRAY<STRUCT<hitNumber INT64, eventInfo STRUCT<eventCategory STRING> >> [STRUCT(1 as hitNumber, STRUCT('' as eventCategory) as eventInfo)] hits union all
select '3' as user, '1' as visitid, '20170520' as date, ARRAY<STRUCT<hitNumber INT64, eventInfo STRUCT<eventCategory STRING> >> [STRUCT(1 as hitNumber, STRUCT('event1' as eventCategory) as eventInfo)] hits UNION ALL
select '3' as user, '2' as visitid, '20170521' as date, ARRAY<STRUCT<hitNumber INT64, eventInfo STRUCT<eventCategory STRING> >> [STRUCT(1 as hitNumber, STRUCT('' as eventCategory) as eventInfo)] hits UNION ALL
select '3' as user, '3' as visitid, '20170522' as date, ARRAY<STRUCT<hitNumber INT64, eventInfo STRUCT<eventCategory STRING> >> [STRUCT(1 as hitNumber, STRUCT('' as eventCategory) as eventInfo)] hits
)
SELECT
user,
visitid,
date
FROM(
SELECT
user,
visitid,
date,
MIN(CASE WHEN hits.eventInfo.eventCategory = 'event1' THEN date END) OVER(PARTITION BY user) min_date,
MAX(CASE WHEN hits.eventInfo.eventCategory = 'event2' THEN date END) OVER(PARTITION BY user) max_date
FROM data,
UNNEST(hits) hits
)
WHERE date BETWEEN min_date AND max_date
Where data is a simulation of your ga_sessions data (I named 'fullvisitorid' as 'user').
This makes the assumption that a given user can have distinct events for date 1 and date 2 (so it's taking the MIN and MAX respectively) and it assumes that you are saving the event in the eventCategory field (given that your event of "Download" and "Purchase" are defined in the session level, I recommend you use the customDimensions field instead of the hits.eventInfo.eventCategory one).
Other than analytical functions, you can also work with ARRAYs and STRUCTs of the Standard SQL version:
SELECT
user,
ARRAY(SELECT AS STRUCT visitid, date FROM UNNEST(user_data) WHERE date BETWEEN min_date AND max_date) user_data
FROM(
SELECT
user,
ARRAY_AGG((SELECT AS STRUCT visitid, date)) user_data,
MIN(CASE WHEN EXISTS(SELECT 1 FROM UNNEST(hits) hits WHERE hits.eventInfo.eventCategory = 'event1') then date END) min_date,
MAX(CASE WHEN EXISTS(SELECT 1 FROM UNNEST(hits) hits WHERE hits.eventInfo.eventCategory = 'event2') THEN date END) max_date
FROM data
GROUP BY user
)
WHERE ARRAY_LENGTH(ARRAY(SELECT AS STRUCT visitid, date FROM UNNEST(user_data) WHERE date BETWEEN min_date AND max_date)) > 0
If the assumptions I made are not aligned with your data you can adapt these techniques to query for what you want. You can also use the simulated data for testing purposes (as well as adapting it to better suit your dataset).