I'm looking to find the Customer Journey user's made via the Online Marketing Channels. The schema of my dataset is the same as Google Merchandise Store, which can be found here: https://support.google.com/analytics/answer/3437719?hl=en
This is how my input data looks like (example):
+---------------+-------+------------+---------+--------------+-------------+
| fullVisitorId | visit | visitTime | revenue | transactions | channel |
+---------------+-------+------------+---------+--------------+-------------+
| 1234 | 1 | 1516468217 | null | null | Direct |
| 1234 | 2 | 1517937012 | null | null | EMail |
| 1234 | 3 | 1523031014 | null | null | Organic |
| 1234 | 4 | 1530461419 | null | null | Organic |
| 1234 | 5 | 1531152611 | null | null | Paid Search |
| 1234 | 6 | 1531411812 | 1393000 | 1 | Organic |
+---------------+-------+------------+---------+--------------+-------------+
I already did this SQL Query:
WITH
_step1 AS (SELECT
DISTINCT
a.fullVisitorId,
a.visitNumber,
a.visitStartTime,
a.Date,
a.totals.totalTransactionRevenue AS totalTransactionRevenue,
a.totals.transactions AS transactions,
a.channelGrouping AS channelGrouping
FROM
`data` a,
unnest(a.hits) as h
)
SELECT
a.fullVisitorId as visitor,
STRING_AGG(channelGrouping, '>') AS CustomerJourney,
SUM(totalTransactionRevenue) AS Umsatz,
SUM(transactions) AS transaktionen
FROM
_step1 as s
GROUP BY fullVisitorId
The results should look like:
+--------+----------------------------+---------+---------------+
| visitor| CustomerJourney | Umsatz | transaktionen |
+--------+----------------------------+---------+---------------+
|1234 | Direct>EMail | null | null |
|1234 | Organic | null | null |
|1234 | Organic>Paid Search>Organic| 1393000 | 1 |
+--------+----------------------------+---------+---------------+
What i actually get:
+--------+-------------------------------------------------+---------+---------------+
| visitor| CustomerJourney | Umsatz | transaktionen |
+--------+-------------------------------------------------+---------+---------------+
|1234 | Direct>EMail>Organic>Organic>Paid Search>Organic|1393000 |1 |
+--------+-------------------------------------------------+---------+---------------+
The difficult part:
There is a conversion tracking period (30 days), which means that a new customer journey will start if 30 days have elapsed since the first visit or if the user has completed a transaction (a new Row). There are Timestamps for every visit.
Which query must I start to consider the conversion tracking period?
来源：https://stackoverflow.com/questions/54196418/finding-the-customer-journey-channels-made-by-users-in-google-bigquery