LinkedIn Ads feature snapshot

A high-level look at Stitch's LinkedIn Ads (v2) integration, including release status, useful links, and the features supported in Stitch.

STITCH
Release status

Released on February 7, 2023

Supported by

Stitch

Stitch plan

Standard

API availability

Available

Singer GitHub repository

singer-io/tap-linkedin-ads

REPLICATION SETTINGS
Anchor Scheduling

Supported

Advanced Scheduling

Supported

Table-level reset

Unsupported

Configurable Replication Methods

Unsupported

DATA SELECTION
Table selection

Supported

Column selection

Supported

Select all

Supported

TRANSPARENCY
Extraction Logs

Supported

Loading Reports

Supported

Connecting LinkedIn Ads

LinkedIn Ads setup requirements

To set up LinkedIn Ads in Stitch, you need:

  • Access to a LinkedIn Ads account. This is necessary to login to the Campaign Manager account.

  • Access to a LinkedIn Ads Campaign Manager account. Verify that you have access to use the Ad accounts you want to replicate data from. This is necessary to connect to Stitch.


Step 1: Retrieve your LinkedIn Ads account IDs

  1. Login to your LinkedIn account.
  2. Click the Work menu, then Advertise:

    The LinkedIn Work and Advertise menus, highlighted

  3. In the Accounts table, locate the IDs for the accounts you want to replicate data from:

    LinkedIn Ads account IDs highlighted in the Accounts table of the Campaign Manager page.

Step 2: Add LinkedIn Ads as a Stitch data source

  1. Sign into your Stitch account.
  2. On the Stitch Dashboard page, click the Add Integration button.

  3. Click the LinkedIn Ads icon.

  4. Enter a name for the integration. This is the name that will display on the Stitch Dashboard for the integration; it’ll also be used to create the schema in your destination.

    For example, the name “Stitch LinkedIn Ads” would create a schema called stitch_linkedin_ads in the destination. Note: Schema names cannot be changed after you save the integration.

  5. In the Accounts field, enter a comma-separated list of the account IDs of the campaign accounts you want to replicate data from. These will be the account IDs you retrieved in Step 1. For example: 503123456,503234567, etc.

Step 3: Define the historical replication start date

The Sync Historical Data setting defines the starting date for your LinkedIn Ads integration. This means that data equal to or newer than this date will be replicated to your data warehouse.

Change this setting if you want to replicate data beyond LinkedIn Ads’s default setting of 1 year. For a detailed look at historical replication jobs, check out the Syncing Historical SaaS Data guide.

Step 4: Create a replication schedule

In the Replication Frequency section, you’ll create the integration’s replication schedule. An integration’s replication schedule determines how often Stitch runs a replication job, and the time that job begins.

LinkedIn Ads integrations support the following replication scheduling methods:

To keep your row usage low, consider setting the integration to replicate less frequently. See the Understanding and Reducing Your Row Usage guide for tips on reducing your usage.

Step 5: Set objects to replicate

The last step is to select the tables and columns you want to replicate. Learn about the available tables for this integration.

Note: If a replication job is currently in progress, new selections won’t be used until the next job starts.

For LinkedIn Ads integrations, you can select:

  1. Individual tables and columns

  2. All tables and columns

Click the tabs to view instructions for each selection method.

  1. In the integration’s Tables to Replicate tab, locate a table you want to replicate.
  2. To track a table, click the checkbox next to the table’s name. A blue checkmark means the table is set to replicate.

  3. To track a column, click the checkbox next to the column’s name. A blue checkmark means the column is set to replicate.

  4. Repeat this process for all the tables and columns you want to replicate.
  5. When finished, click the Finalize Your Selections button at the bottom of the screen to save your selections.
  1. Click into the integration from the Stitch Dashboard page.
  2. Click the Tables to Replicate tab.

  3. In the list of tables, click the box next to the Table Names column.
  4. In the menu that displays, click Track all Tables and Fields:

    The Track all Tables and Fields menu in the Tables to Replicate tab

  5. Click the Finalize Your Selections button at the bottom of the page to save your data selections.

Initial and historical replication jobs

After you finish setting up LinkedIn Ads, its Sync Status may show as Pending on either the Stitch Dashboard or in the Integration Details page.

For a new integration, a Pending status indicates that Stitch is in the process of scheduling the initial replication job for the integration. This may take some time to complete.

Free historical data loads

The first seven days of replication, beginning when data is first replicated, are free. Rows replicated from the new integration during this time won’t count towards your quota. Stitch offers this as a way of testing new integrations, measuring usage, and ensuring historical data volumes don’t quickly consume your quota.


LinkedIn Ads replication

Every time Stitch runs a replication job for LinkedIn Ads, the last 7 days’ worth of data will be replicated.

This is applicable to all tables in the integration.

Stitch replicates data in this way to account for updates made to existing records within the default attribution window of 7 days, thus ensuring you won’t make decisions based on stale (or false) data. As a result, you may see a higher number of replicated rows than what’s being generated in LinkedIn Ads.

Setting the Replication Frequency to a higher frequency - like 30 minutes - can result in re-replicating recent data and contribute to greater row usage. Replicating fewer tables or selecting a lower frequency can help keep your row count low.

Refer to the documentation for each of these tables in the next section for more info.

Attribution window examples

In the tabs below are examples of attribution windows behave during historical (initial) and ongoing replication jobs.

For historical and full re-replications of LinkedIn Ads data, Stitch will query for and extract data newer than or equal to the date defined in the Start Date field in the Integration Settings page.

The Start Date, in conjunction with the Attribution Window, defines the minimum date Stitch should query for when extracting historical data. This is calculated as:

Start Date - Attribution Window = Minimum Extraction Date

Example

During the initial set up, the Start Date field is set to 06/03/2017, or June 3, 2017.

To account for the Attribution Window, Stitch would calculate the Minimum Extraction Date value as: 2017-07-03 00:00:00 - 7 days = 2017-06-03 00:00:00

If you were to write a SQL query using this date for the ad_analytics_by_campaign table, it might look like this:

  SELECT *
    FROM linkedin_ads.ad_analytics_by_campaign
   WHERE end_at >= '2017-06-03 00:00:00'   /* Min. Extraction Date */
ORDER BY end_at

For ongoing replication jobs, Stitch will query for and extract data using the last saved maximum value in the table’s Replication Key column and the Attribution Window for the table.

Note: This applies to every replication job that takes place after the historical replication job.

Example

The last maximum saved Replication Key value for the ad_analytics_by_campaign table is 2017-10-01 00:00:00.

To account for the Attribution Window of 7 days, we’d subtract this from the last maximum saved Replication Key value:

2017-10-01 00:00:00 - 7 days = 2017-09-24 00:00:00

In this case, Stitch would query for and extract data that is newer than or equal to 2017-09-24 00:00:00 and older than or equal to 2017-10-01 00:00:00.

If this were a SQL query, it might look like this:

  SELECT *
    FROM ad_analytics_by_campaign
   WHERE end_at >= '2017-09-24 00:00:00'
                              /* max Replication Key value - Attribution Window */
     AND end_at <= '2017-10-01 00:00:00'
                              /* max Replication Key value from previous job */
ORDER BY end_at

LinkedIn Ads table reference

account_users

The account_users table contains info about the users who have permissions to an ad account.

Replication Method

Key-based Incremental

Primary Keys

account_id

user_person_id

Replication Key

last_modified_time

Useful links

account_users schema on GitHub

LinkedIn Ads API method

Join account_users with on
accounts
account_users.account_id = accounts.id
campaigns
account_users.account_id = campaigns.account_id
campaign_groups
account_users.account_id = campaign_groups.account_id
video_ads
account_users.account_id = video_ads.account_id

account

STRING

account_id

INTEGER

campaign_contact

BOOLEAN

change_audit_stamps

OBJECT

created

OBJECT

time

DATE-TIME

last_modified

OBJECT

created_time

DATE-TIME

last_modified_time

DATE-TIME

role

STRING

user

STRING

user_person_id

STRING

accounts

The accounts table contains info about your LinkedIn Ads ad accounts.

Replication Method

Key-based Incremental

Primary Key

id

Replication Key

last_modified_time

Useful links

accounts schema on GitHub

LinkedIn Ads API method

Join accounts with on
account_users
accounts.id = account_users.account_id
campaigns
accounts.id = campaigns.account_id
campaign_groups
accounts.id = campaign_groups.account_id
video_ads
accounts.id = video_ads.account_id

change_audit_stamps

OBJECT

created

OBJECT

time

DATE-TIME

last_modified

OBJECT

created_time

DATE-TIME

currency

STRING

id

INTEGER

last_modified_time

DATE-TIME

name

STRING

notified_on_campaign_optimization

BOOLEAN

notified_on_creative_approval

BOOLEAN

notified_on_creative_rejection

BOOLEAN

notified_on_end_of_campaign

BOOLEAN

notified_on_new_features_enabled

BOOLEAN

reference

STRING

reference_organization_id

INTEGER

reference_person_id

STRING

serving_statuses

ARRAY

status

STRING

test

BOOLEAN

total_budget

OBJECT

amount

NUMBER

currency_code

STRING

total_budget_ends_at

DATE-TIME

type

STRING

version

OBJECT

version_tag

STRING

ad_analytics_by_campaign

The ad_analytics_by_campaign table contains analytics data for ads, segmented by campaign.

Note: This table is replicated using an attribution window of 7 days. Refer to the Replication section for more info.

Replication Method

Key-based Incremental

Primary Keys

campaign_id

start_at

Replication Key

end_at

Useful links

ad_analytics_by_campaign schema on GitHub

LinkedIn Ads API method

Join ad_analytics_by_campaign with on
campaigns
ad_analytics_by_campaign.campaign_id = campaigns.id
creatives
ad_analytics_by_campaign.campaign_id = creatives.campaign_id

action_clicks

INTEGER

ad_unit_clicks

INTEGER

approximate_unique_impressions

INTEGER

average_daily_reach_metrics

OBJECT

approximate_cost_in_currency_per_thousand_members_reached

NUMBER

approximate_frequency

NUMBER

approximate_reach

NUMBER

average_previous_seven_day_reach_metrics

OBJECT

approximate_cost_in_currency_per_thousand_members_reached

NUMBER

approximate_frequency

NUMBER

approximate_reach

NUMBER

average_previous_thirty_day_reach_metrics

OBJECT

approximate_cost_in_currency_per_thousand_members_reached

NUMBER

approximate_frequency

NUMBER

approximate_reach

NUMBER

campaign

STRING

campaign_id

INTEGER

card_clicks

INTEGER

card_impressions

INTEGER

clicks

INTEGER

comment_likes

INTEGER

comments

INTEGER

company_page_clicks

INTEGER

conversion_value_in_local_currency

NUMBER

cost_in_local_currency

NUMBER

cost_in_usd

NUMBER

date_range

OBJECT

end

OBJECT

day

INTEGER

month

INTEGER

year

INTEGER

start

OBJECT

day

INTEGER

month

INTEGER

year

INTEGER

document_completions

INTEGER

document_first_quartile_completions

INTEGER

document_midpoint_completions

INTEGER

document_third_quartile_completions

INTEGER

download_clicks

INTEGER

end_at

DATE-TIME

external_website_conversions

INTEGER

external_website_post_click_conversions

INTEGER

external_website_post_view_conversions

INTEGER

follows

INTEGER

full_screen_plays

INTEGER

impressions

INTEGER

job_applications

NUMBER

job_apply_clicks

NUMBER

landing_page_clicks

INTEGER

lead_generation_mail_contact_info_shares

INTEGER

lead_generation_mail_interested_clicks

INTEGER

likes

INTEGER

one_click_lead_form_opens

INTEGER

one_click_leads

INTEGER

opens

INTEGER

other_engagements

INTEGER

pivot

STRING

pivot_value

STRING

pivot_values

ARRAY

post_click_job_applications

NUMBER

post_click_job_apply_clicks

NUMBER

post_click_registrations

NUMBER

post_view_job_applications

NUMBER

post_view_job_apply_clicks

NUMBER

post_view_registrations

NUMBER

reactions

INTEGER

registrations

NUMBER

sends

INTEGER

shares

INTEGER

start_at

DATE-TIME

talent_leads

INTEGER

text_url_clicks

INTEGER

total_engagements

INTEGER

video_completions

INTEGER

video_first_quartile_completions

INTEGER

video_midpoint_completions

INTEGER

video_starts

INTEGER

video_third_quartile_completions

INTEGER

video_views

INTEGER

viral_card_clicks

INTEGER

viral_card_impressions

INTEGER

viral_clicks

INTEGER

viral_comment_likes

INTEGER

viral_comments

INTEGER

viral_company_page_clicks

INTEGER

viral_document_completions

INTEGER

viral_document_first_quartile_completions

INTEGER

viral_document_midpoint_completions

INTEGER

viral_document_third_quartile_completions

INTEGER

viral_download_clicks

INTEGER

viral_external_website_conversions

INTEGER

viral_external_website_post_click_conversions

INTEGER

viral_external_website_post_view_conversions

INTEGER

viral_follows

INTEGER

viral_full_screen_plays

INTEGER

viral_impressions

INTEGER

viral_job_applications

NUMBER

viral_job_apply_clicks

NUMBER

viral_landing_page_clicks

INTEGER

viral_likes

INTEGER

viral_one_click_lead_form_opens

INTEGER

viral_one_click_leads

INTEGER

viral_other_engagements

INTEGER

viral_post_click_job_applications

NUMBER

viral_post_click_job_apply_clicks

NUMBER

viral_post_click_registrations

NUMBER

viral_post_view_job_applications

NUMBER

viral_post_view_job_apply_clicks

NUMBER

viral_post_view_registrations

NUMBER

viral_reactions

INTEGER

viral_registrations

NUMBER

viral_shares

INTEGER

viral_total_engagements

INTEGER

viral_video_completions

INTEGER

viral_video_first_quartile_completions

INTEGER

viral_video_midpoint_completions

INTEGER

viral_video_starts

INTEGER

viral_video_third_quartile_completions

INTEGER

viral_video_views

INTEGER

ad_analytics_by_creative

The ad_analytics_by_creative table contains info about ad analytics, segmented by creative.

Note: This table is replicated using an attribution window of 7 days. Refer to the Replication section for more info.

Replication Method

Key-based Incremental

Primary Keys

creative_id

start_at

Replication Key

end_at

Useful links

ad_analytics_by_creative schema on GitHub

LinkedIn Ads API method

Join ad_analytics_by_creative with on
creatives
ad_analytics_by_creative.creative_id = creatives.id

action_clicks

INTEGER

ad_unit_clicks

INTEGER

approximate_unique_impressions

INTEGER

average_daily_reach_metrics

OBJECT

approximate_cost_in_currency_per_thousand_members_reached

NUMBER

approximate_frequency

NUMBER

approximate_reach

NUMBER

average_previous_seven_day_reach_metrics

OBJECT

approximate_cost_in_currency_per_thousand_members_reached

NUMBER

approximate_frequency

NUMBER

approximate_reach

NUMBER

average_previous_thirty_day_reach_metrics

OBJECT

approximate_cost_in_currency_per_thousand_members_reached

NUMBER

approximate_frequency

NUMBER

approximate_reach

NUMBER

card_clicks

INTEGER

card_impressions

INTEGER

clicks

INTEGER

comment_likes

INTEGER

comments

INTEGER

company_page_clicks

INTEGER

conversion_value_in_local_currency

NUMBER

cost_in_local_currency

NUMBER

cost_in_usd

NUMBER

creative

STRING

creative_id

INTEGER

date_range

OBJECT

end

OBJECT

day

INTEGER

month

INTEGER

year

INTEGER

start

OBJECT

day

INTEGER

month

INTEGER

year

INTEGER

document_completions

INTEGER

document_first_quartile_completions

INTEGER

document_midpoint_completions

INTEGER

document_third_quartile_completions

INTEGER

download_clicks

INTEGER

end_at

DATE-TIME

external_website_conversions

INTEGER

external_website_post_click_conversions

INTEGER

external_website_post_view_conversions

INTEGER

follows

INTEGER

full_screen_plays

INTEGER

impressions

INTEGER

job_applications

NUMBER

job_apply_clicks

NUMBER

landing_page_clicks

INTEGER

lead_generation_mail_contact_info_shares

INTEGER

lead_generation_mail_interested_clicks

INTEGER

likes

INTEGER

one_click_lead_form_opens

INTEGER

one_click_leads

INTEGER

opens

INTEGER

other_engagements

INTEGER

pivot

STRING

pivot_value

STRING

pivot_values

ARRAY

post_click_job_applications

NUMBER

post_click_job_apply_clicks

NUMBER

post_click_registrations

NUMBER

post_view_job_applications

NUMBER

post_view_job_apply_clicks

NUMBER

post_view_registrations

NUMBER

reactions

INTEGER

registrations

NUMBER

sends

INTEGER

shares

INTEGER

start_at

DATE-TIME

talent_leads

INTEGER

text_url_clicks

INTEGER

total_engagements

INTEGER

video_completions

INTEGER

video_first_quartile_completions

INTEGER

video_midpoint_completions

INTEGER

video_starts

INTEGER

video_third_quartile_completions

INTEGER

video_views

INTEGER

viral_card_clicks

INTEGER

viral_card_impressions

INTEGER

viral_clicks

INTEGER

viral_comment_likes

INTEGER

viral_comments

INTEGER

viral_company_page_clicks

INTEGER

viral_document_completions

INTEGER

viral_document_first_quartile_completions

INTEGER

viral_document_midpoint_completions

INTEGER

viral_document_third_quartile_completions

INTEGER

viral_download_clicks

INTEGER

viral_external_website_conversions

INTEGER

viral_external_website_post_click_conversions

INTEGER

viral_external_website_post_view_conversions

INTEGER

viral_follows

INTEGER

viral_full_screen_plays

INTEGER

viral_impressions

INTEGER

viral_job_applications

NUMBER

viral_job_apply_clicks

NUMBER

viral_landing_page_clicks

INTEGER

viral_likes

INTEGER

viral_one_click_lead_form_opens

INTEGER

viral_one_click_leads

INTEGER

viral_other_engagements

INTEGER

viral_post_click_job_applications

NUMBER

viral_post_click_job_apply_clicks

NUMBER

viral_post_click_registrations

NUMBER

viral_post_view_job_applications

NUMBER

viral_post_view_job_apply_clicks

NUMBER

viral_post_view_registrations

NUMBER

viral_reactions

INTEGER

viral_registrations

INTEGER

viral_shares

INTEGER

viral_total_engagements

INTEGER

viral_video_completions

INTEGER

viral_video_first_quartile_completions

INTEGER

viral_video_midpoint_completions

INTEGER

viral_video_starts

INTEGER

viral_video_third_quartile_completions

INTEGER

viral_video_views

INTEGER

campaign_groups

The campaign_groups table contains info about the campaign groups in your LinkedIn Ads account.

Replication Method

Key-based Incremental

Primary Key

id

Replication Key

last_modified_time

Useful links

campaign_groups schema on GitHub

LinkedIn Ads API method

Join campaign_groups with on
account_users
campaign_groups.account_id = account_users.account_id
accounts
campaign_groups.account_id = accounts.id
campaigns
campaign_groups.account_id = campaigns.account_id
campaign_groups.id = campaigns.campaign_group_id
video_ads
campaign_groups.account_id = video_ads.account_id

account

STRING

account_id

INTEGER

allowed_campaign_types

ARRAY

backfilled

BOOLEAN

change_audit_stamps

OBJECT

created

OBJECT

time

DATE-TIME

last_modified

OBJECT

created_time

DATE-TIME

id

INTEGER

last_modified_time

DATE-TIME

name

STRING

run_schedule

OBJECT

end

DATE-TIME

start

DATE-TIME

serving_statuses

ARRAY

status

STRING

test

BOOLEAN

total_budget

OBJECT

amount

NUMBER

currency_code

STRING

campaigns

The campaigns table contains info about the campaigns in your LinkedIn Ads account.

Replication Method

Key-based Incremental

Primary Key

id

Replication Key

last_modified_time

Useful links

campaigns schema on GitHub

LinkedIn Ads API method

Join campaigns with on
account_users
campaigns.account_id = account_users.account_id
accounts
campaigns.account_id = accounts.id
campaign_groups
campaigns.account_id = campaign_groups.account_id
campaigns.campaign_group_id = campaign_groups.id
video_ads
campaigns.account_id = video_ads.account_id
creatives
campaigns.id = creatives.campaign_id
ad_analytics_by_campaign
campaigns.id = ad_analytics_by_campaign.campaign_id

account

STRING

account_id

INTEGER

associated_entity

STRING

associated_entity_organization_id

INTEGER

associated_entity_person_id

STRING

audience_expansion_enabled

BOOLEAN

campaign_group

STRING

campaign_group_id

INTEGER

change_audit_stamps

OBJECT

created

OBJECT

time

DATE-TIME

last_modified

OBJECT

cost_type

STRING

created_time

DATE-TIME

creative_selection

STRING

daily_budget

OBJECT

amount

NUMBER

currency_code

STRING

format

STRING

id

INTEGER

last_modified_time

DATE-TIME

locale

OBJECT

country

STRING

language

STRING

name

STRING

objective_type

STRING

offsite_delivery_enabled

BOOLEAN

offsite_preferences

OBJECT

iab_categories

OBJECT

exclude

ARRAY

include

ARRAY

publisher_restriction_files

OBJECT

optimization_target_type

STRING

pacing_strategy

STRING

run_schedule

OBJECT

end

DATE-TIME

start

DATE-TIME

serving_statuses

ARRAY

status

STRING

targeting

OBJECT

excluded_targeting_facets

ARRAY

included_targeting_facets

ARRAY

targeting_criteria

OBJECT

exclude

OBJECT

or

OBJECT

urn:li:ad_targeting_facet:followed_companies

ARRAY

urn:li:ad_targeting_facet:seniorities

ARRAY

urn:li:ad_targeting_facet:staff_count_ranges

ARRAY

urn:li:ad_targeting_facet:titles

ARRAY

include

OBJECT

and

ARRAY

type

STRING

values

ARRAY

test

BOOLEAN

total_budget

OBJECT

amount

NUMBER

currency_code

STRING

type

STRING

unit_cost

OBJECT

amount

NUMBER

currency_code

STRING

version

OBJECT

version_tag

STRING

version_tag

STRING

creatives

The Creatives API contains all the data and information for visually rendering an ad.

Replication Method

Key-based Incremental

Primary Key

id

Replication Key

last_modified_at

Useful links

LinkedIn Ads documentation

creatives schema on GitHub

Join creatives with on
campaigns
creatives.campaign_id = campaigns.id
ad_analytics_by_campaign
creatives.campaign_id = ad_analytics_by_campaign.campaign_id
ad_analytics_by_creative
creatives.id = ad_analytics_by_creative.creative_id

account

STRING

account_id

INTEGER

campaign

STRING

campaign_id

INTEGER

content

OBJECT

reference

STRING

text_ad

OBJECT

description

STRING

headline

STRING

landing_page

STRING

created_at

DATE-TIME

created_by

STRING

id

STRING

intended_status

STRING

is_serving

BOOLEAN

is_test

BOOLEAN

last_modified_at

DATE-TIME

last_modified_by

STRING

serving_hold_reasons

ARRAY

video_ads

The video_ads table contains info about the video ads in your LinkedIn Ads account.

Replication Method

Key-based Incremental

Primary Key

content_reference

Replication Key

last_modified_time

Useful links

video_ads schema on GitHub

LinkedIn Ads API method

Join video_ads with on
account_users
video_ads.account_id = account_users.account_id
accounts
video_ads.account_id = accounts.id
campaigns
video_ads.account_id = campaigns.account_id
campaign_groups
video_ads.account_id = campaign_groups.account_id

account

STRING

account_id

INTEGER

change_audit_stamps

OBJECT

created

OBJECT

time

DATE-TIME

last_modified

OBJECT

content_reference

STRING

content_reference_share_id

INTEGER

content_reference_ucg_post_id

INTEGER

created_time

DATE-TIME

last_modified_time

DATE-TIME

name

STRING

owner

STRING

owner_organization_id

INTEGER

type

STRING


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