Integration Specifications
This article will help you learn about how Daasity replicates data from GA First Click, limitations to the data we can extract and where the data is stored in the GA First Click schema.
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This article will help you learn about how Daasity replicates data from GA First Click, limitations to the data we can extract and where the data is stored in the GA First Click schema.
Last updated
Was this helpful?
Google Analytics Multi-Channel Funnels Reporting API enables you to request Multi-Channel Funnel data which is derived from conversion path data and shows user interactions with various traffic sources over multiple sessions prior to converting. This allows the merchant to analyze how multiple marketing channels influence conversions over time.
The Daasity V1 Google Analytics First Click Data extractor pulls a standard set of data via the Multi-Channel Funnel Reporting API. The Multi-Channel Funnel Reporting API is a report generation API and requires parameters to be passed into the API.
This integration is available for:
Enterprise
Growth
The Daasity GA First Click extractor is built based on the . The following endpoint is used by Daasity to replicate data from GA:
The Daasity GA First Click extractor creates these tables using the endpoints and replication methods listed. The data is mapped from source API endpoint to the table based on the mapping logic outlined in each table.
Update Method: UPSERT
Table Name: [ga.multi_channel
]
MD5 Hash of all the Dimensions
id
View ID selected for the integration
view_id
mcf:transactionId
transaction_id
mcf:conversionDate
created_on
mcf:sourcePath
source_path
Daasity: 1st node of mcf:sourcePath
source_path_first_node
Daasity: Last node of mcf:sourcePath
source_path_last_node
mcf:mediumPath
medium_path
Daasity: 1st node of mcf:mediumPath
medium_path_first_node
Daasity: Last node of mcf:mediumPath
medium_path_last_node
mcf:campaignPath
campaign_path
Daasity: 1st node of mcf:campaignPath
campaign_path_first_node
Daasity: Last node of mcf:campaignPath
campaign_path_last_node
mcf:basicChannelGrouping
basic_channel_grouping_path
Daasity: 1st node of mcf:basicChannelGrouping
basic_channel_grouping_path_first_node
Daasity: Last node of mcf:basicChannelGrouping
basic_channel_grouping_path_last_node
mcf:keywordPath
keyword_path
Daasity: 1st node of mcf:keywordPath
keyword_path_first_node
Daasity: Last node of mcf:keywordPath
keyword_path_last_node
mcf:sourceMediumPath
source_medium_path
Daasity: 1st node of mcf:sourceMediumPath
source_medium_path_first_node
Daasity: Last node of mcf:sourceMediumPath
source_medium_path_last_node
mcf:timeLagInDaysHistogram
time_lag_in_days_histogram
Daasity: from Channel Mapping Google Sheet
channel_first_click
Daasity: from Channel Mapping Google Sheet
vendor_first_click
Daasity: from Channel Mapping Google Sheet
sub_channel_first_click
Daasity: from Channel Mapping Google Sheet
media_type_first_click
Daasity: from Channel Mapping Google Sheet
channel_last_click
Daasity: from Channel Mapping Google Sheet
vendor_last_click
Daasity: from Channel Mapping Google Sheet
sub_channel_last_click
Daasity: from Channel Mapping Google Sheet
media_type_last_click
Daasity: from Channel Mapping Google Sheet
attribution_channel
Update Method: UPSERT
Table Name: [ga.multi_channel_funnel
]
MD5 Hash of all the Dimensions
id
View ID selected for the integration
view_id
mcf:transactionId
transaction_id
mcf:conversionDate
created_on
mcf:sourcePath
source_path
mcf:basicChannelGrouping
basic_channel_path
mcf:sourceMediumPath
source_medium_path
mcf:mediumPath
medium_path
mcf:campaignPath
campaign_path
mcf:keywordPath
keyword_path
Daasity: node number
sequence
Daasity: from Channel Mapping Google Sheet
channel
Daasity: from Channel Mapping Google Sheet
vendor
Daasity: from Channel Mapping Google Sheet
sub_channel
Daasity: from Channel Mapping Google Sheet
media_type
Daasity: from Channel Mapping Google Sheet
attribution_channel
illustrating the different tables and keys to join across tables.
Endpoint:
Endpoint: