When importing GA4 data into BigQuery using Dataslayer, you may encounter an "invalid parameters combination" error if you select certain dimensions and metrics that cannot be queried together.
The "invalid parameters combination" error comes from the native data source API, not from Dataslayer.
To avoid this error, you can import the following tables:
Engagement data
Example:
Engagement data table |
Dimensions |
content group |
event name |
hostname |
property name |
stream name |
page path and screen class |
date |
Metrics |
active users |
add-to-carts |
checkouts |
conversions |
ecommerce purchases |
engaged sessions |
event count |
event value |
first time purchasers |
item promotion click through rate |
item view events |
new users |
sessions |
total ad revenue |
total revenue |
total purchasers |
total users |
transactions |
user engagement |
Acquisition data
Example:
Acquisition data table |
Dimensions |
first user campaign id |
first user campaign |
first user google ads ad group id |
first user google ads ad group name |
first user google ads network type |
first user medium |
date |
Metrics |
active users |
add-to-carts |
checkouts |
conversions |
ecommerce purchases |
event value |
first time purchasers |
item list click through rate |
item promotion click through rate |
item view events |
new users |
sessions |
total ad revenue |
total revenue |
total purchasers |
total users |
transactions |
user engagement |
Device data
Example:
Device data table |
Dimensions |
browser |
device category |
language |
platform |
property name |
stream name |
date |
Metrics |
28-day active users |
7-day active users |
1-day active users |
active users |
add-to-carts |
conversions |
ecommerce purchases |
engaged sessions |
event count |
first time purchasers |
item list click through rate |
item promotion click through rate |
new users |
sessions |
total ad revenue |
total purchasers |
total revenue |
total users |
transactions |
user engagement |
Traffic Acquisition data
Example:
Traffic Acquisition data |
Dimensions |
session campaign |
session default channel grouping |
session google ads ad group name |
session google ads keyword text |
session medium |
session source |
date |
Metrics |
active users |
add-to-carts |
checkouts |
conversions |
ecommerce purchases |
engaged sessions |
event value |
first time purchasers |
item list click through rate |
item view events |
item promotion click through rate |
new users |
transactions |
user engagement |
total users |
total revenue |
total purchasers |
total ad revenue |
Publishing data
Example:
Publishing data table |
Dimensions |
device category |
language |
platform |
property name |
session medium |
session source |
date |
Metrics |
1-day active users |
28-day active users |
7-day active users |
active users |
add-to-carts |
ad unit exposure |
checkouts |
conversions |
ecommerce purchasers |
engaged sessions |
event value |
first time purchasers |
item list click through rate |
new users |
publisher ad clicks |
publisher ad impressions |
sessions |
total ad revenue |
total purchasers |
total revenue |
total users |
transactions |
user engagement |
User Acquisition
Example:
User Acquisition table |
Dimensions |
first user campaign ID |
first user campaign |
first user google ads group id |
first user google ads group name |
first user google ads network type |
first user medium |
date |
Metrics |
active users |
add-to-carts |
checkouts |
conversions |
ecommerce purchases |
engaged sessions |
event value |
first time purchasers |
item list click through rate |
item view events |
new users |
sessions |
total ad revenue |
total purchasers |
total revenue |
total users |
transactions |
user engagement |
User Data
Example:
User Data table |
Dimensions |
city |
country |
language |
region |
age |
gender |
date |
Metrics |
active users |
add-to-carts |
checkouts |
conversions |
ecommerce purchases |
engaged sessions |
event count |
event value |
first time purchasers |
item list click through rate |
item view events |
item promotion click through rate |
new users |
sessions |
total ad revenue |
total purchasers |
total revenue |
total users |
transactions |
user engagement |
Ecommerce Data
Example:
Ecommerce data table |
Dimensions |
item brand |
item category |
item list name |
item name |
property name |
date |
Metrics |
active users |
engaged sessions |
first time purchasers |
sessions |
total purchasers |
total users |
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