How to integrate Campaignswell with Google Analytics
Step 1. Google Cloud BigQuery Project
Open Google Cloud Console
Then click project menu
And click to create new project
Name your project and click Create button
Now you can select your newly created project in the projects menu
You should enable the BigQuery API first. Type bigquery api in the search bar and select corresponding option
Enable this API and now you can move to the next step
Step 2. Google Analytics BigQuery Link
Open your Google Analytics account admin panel and select BigQuery links there
Click Link button
Then choose your previously created BigQuery project
And select all the available checkboxes in the next step of linking
Congratulations. Link is successfully created. Your data will be available in BigQuery in approximately 24 hours from now.
Step 3. Create Google Cloud Storage Bucket
Go back to your previously created BigQuery project and type cloud storage in the search bar
Click Create button there
Name your bucket (example: cw-data-bucket-name)
Follow the steps in bucket creation dialog and once all the steps are done you will see Create button
Press it and you will see confirmation dialog
Congratulations. Bucket is created. Now fulfil bucket name like in the Table below
Paste your bucket name in our UI
Step 4. BigQuery Scheduled Queries
Open BigQuery and choose project name created during the Step 1 and click CREATE SQL QUERY
Fill the <project>, <database>* as it is shown on the picture below and take <bucket_name> from the Step 3
*Note: Database(s) will be created automatically, and may take up to 24 hours. It's not necessary to create it manually
ga4_events_intraday_export
Copy/Paste script below
Script: ga4_events_intraday_export
BEGIN
CREATE TABLE IF NOT EXISTS `<project>.<database>.cw_increment_events_intraday`
AS
SELECT event_timestamp, event_name, event_bundle_sequence_id, CURRENT_TIMESTAMP() AS load_dttm
FROM `<project>.<database>.events_intraday_*`
WHERE 1 = 2;
CREATE TEMP TABLE ga4_events_intraday_export_temp
AS (
SELECT ev.*
FROM `<project>.<database>.events_intraday_*` ev
LEFT JOIN `<project>.<database>.cw_increment_events_intraday` incr ON
ev.event_timestamp = incr.event_timestamp
AND ev.event_name = incr.event_name
AND ev.event_bundle_sequence_id = incr.event_bundle_sequence_id
WHERE _TABLE_SUFFIX BETWEEN REPLACE(STRING(CURRENT_DATE()-1), '-', '') AND REPLACE(STRING(CURRENT_DATE()+1), '-', '')
AND incr.event_timestamp IS NULL
);
EXPORT DATA
OPTIONS (
uri = 'gs://<bucket_name>/ga_events_intraday/<database>/' || EXTRACT(YEAR FROM CURRENT_DATE) || '/' || EXTRACT(MONTH FROM CURRENT_DATE) || '/'|| EXTRACT(DAY FROM CURRENT_DATE) || '/ga4_events_intraday_export_temp_' || UNIX_MICROS(CURRENT_TIMESTAMP()) || '_*.parquet',
overwrite=true,
format = 'PARQUET',
compression = 'SNAPPY')
AS (
SELECT * FROM ga4_events_intraday_export_temp
);
INSERT INTO `<project>.<database>.cw_increment_events_intraday`
SELECT event_timestamp, event_name, event_bundle_sequence_id, CURRENT_TIMESTAMP() AS load_dttm FROM ga4_events_intraday_export_temp;
DELETE FROM `<project>.<database>.cw_increment_events_intraday`
WHERE DATE_DIFF(CURRENT_TIMESTAMP(), load_dttm, HOUR) > 50;
END
Set up the schedule: name = ga4_events_intraday_export, every 5 minutes
ga4_events_export
Create new empty SQL Script
Copy/Paste script below
Script: ga4_events_export
BEGIN
IF EXISTS (
SELECT *
FROM `<project>.<database>.__TABLES__`
WHERE table_id = 'events_' || REPLACE(STRING(CURRENT_DATE() - 1), '-', '')
AND TIMESTAMP_ADD(CURRENT_TIMESTAMP(), INTERVAL -16 MINUTE) <= TIMESTAMP_ADD(TIMESTAMP "1970-01-01", INTERVAL creation_time MILLISECOND)
AND CURRENT_TIMESTAMP() > TIMESTAMP_ADD(TIMESTAMP "1970-01-01", INTERVAL creation_time MILLISECOND)
)
THEN
CREATE TEMP TABLE ga4_events_export_temp
AS (
SELECT *
FROM `<project>.<database>.events_*`
WHERE _TABLE_SUFFIX BETWEEN REPLACE(STRING(CURRENT_DATE()-3), '-', '') AND REPLACE(STRING(CURRENT_DATE()), '-', '')
);
EXPORT DATA
OPTIONS (
uri = 'gs://<bucket_name>/ga_events/<database>/' || EXTRACT(YEAR FROM CURRENT_DATE) || '/' || EXTRACT(MONTH FROM CURRENT_DATE) || '/'|| EXTRACT(DAY FROM CURRENT_DATE) || '/ga4_events_export_temp_' || UNIX_MICROS(CURRENT_TIMESTAMP()) || '_*.parquet',
overwrite=true,
format = 'PARQUET',
compression = 'SNAPPY')
AS (
SELECT * FROM ga4_events_export_temp
);
END IF;
END
Set up the schedule: name = ga4_events_export, every 15 minutes
As a result you should see 2 scheduled queries
Step 5. Google Cloud Storage Permissions
Press the checkbox once the steps above are done. The table in your integration doc should look like in the example below
Creating a Custom IAM Role
Create a custom role that has the permissions required to access the bucket and get objects.
1. Log into the Google Cloud Platform Console as a project editor.
2. From the home dashboard, choose IAM & admin » Roles.
3. Click Create Role.
4. Enter a name, and description for the custom role.
5. Click Add Permissions.
6. Filter the list of permissions, and add the following from the list: storage.buckets.get,storage.objects.get, storage.objects.list
7. Click Create.
Assigning the Custom Role to the Cloud Storage Service Account
1. Log into the Google Cloud Platform Console as a project editor.
2. From the home dashboard, choose Cloud Storage » Browser:
3. Select a bucket created during the Step 3 (example cw-data-bucket-name)
4. Click the ADD PRINCIPAL button.
5. In the New principals field, search for the service account name vbamqhyxhc@va3-22da.iam.gserviceaccount.com (campaignswell Service Account)
6. From the Select a role dropdown, select Custom » <role>, where <role> is the custom Cloud Storage role you created in Creating a Custom IAM Role (in this Step).
7. Click the Save button. The service account name is added to the Storage Object Viewer role dropdown in the information panel.
Step 6. Pub/Sub Topic/Subscription
Creating the Pub/Sub Topic
Create a Pub/Sub topic using Cloud Shell or Cloud SDK.
Execute the following command to create the topic and enable it to listen for activity in the specified GCS bucket:
gsutil notification create -t <topic> -e OBJECT_FINALIZE -f json gs://<bucket-name>
Where:
- <topic> is the name for the topic.(for example: cw-ga4-topic-name)
- <bucket-name> is the name of your GCS bucket created in the Step 3
If the topic already exists, the command uses it; otherwise, the command creates a new topic.
Creating the Pub/Sub Subscription
Create a subscription with pull delivery to the Pub/Sub topic using the Cloud Console:
In Pub\Sub service choose the project created during the Step 1, in the Subscription section click Create Subscription
Enter Subscription-id: for example cw-ga4-subscription
Choose topic created here (within this step earlier)
Delivery type: Pull
The rest could be default
Click Create
Provide us with the Pub/Sub Subscription ID
Click on the Subscription created during the previous section
Copy the Subscription Name
Paste in the UI
Step 7. Pub/Sub Permissions
1. Log into the Google Cloud Platform Console as a project editor.
2. From the home dashboard, choose Big Data » Pub/Sub » Subscriptions.
3. Select the subscription created during the previous step.
4. Click SHOW INFO PANEL in the upper-right corner. The information panel for the subscription slides out.
5. Click the ADD PRINCIPAL button.
6. In the New principals field, search for the service account name xbvddzmrms@va3-22da.iam.gserviceaccount.com (campaignswell Service Account)
7. From the Select a role dropdown, select Pub/Sub Subscriber.
8. Click the Save button. The service account name is added to the Pub/Sub Subscriber role dropdown in the information panel.
9. Navigate to the Dashboard page in the Cloud Console, and select your project from the dropdown list.
10. Click the ADD PEOPLE TO THIS PROJECT button.
11. Add the service account name xbvddzmrms@va3-22da.iam.gserviceaccount.com (campaignswell Service Account)
12. From the Select a role dropdown, select Monitoring Viewer.
13. Click the Save button. The service account name is added to the Monitoring Viewer role
Step 8. Complete Integration
Press the checkbox once your integration is setup
Step 9 (optional).Configure data streams and events to prevent BigQuery 1,000,000 daily export limits
Go to BigQuery links
Go to Configure data streams and events
You can exclude unnecessary Stream
Or specify events by name to exclude
Apply and Save changes!
