AdRoll (v1) | Stitch Documentation

AdRoll extraction is supported by Stitch
This integration is powered by Singer's AdRoll tap and certified by Stitch. Check out and contribute to the repo on GitHub.

For support, contact Support.

AdRoll integration summary

Stitch’s AdRoll integration replicates data using the NextRoll CRUD API. Refer to the Schema section for a list of objects available for replication.

AdRoll feature snapshot

A high-level look at Stitch's AdRoll (v1) integration, including release status, useful links, and the features supported in Stitch.

STITCH
Release status	Released on July 24, 2020	Supported by	Stitch
Stitch plan	Standard	API availability	Available
Singer GitHub repository	singer-io/tap-adroll
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 AdRoll

Step 1: Add AdRoll as a Stitch data source

Sign into your Stitch account.
On the Stitch Dashboard page, click the Add Integration button.
Click the AdRoll icon.
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 AdRoll” would create a schema called stitch_adroll in the destination. Note: Schema names cannot be changed after you save the integration.

Step 2: Define the historical replication start date

The Sync Historical Data setting defines the starting date for your AdRoll 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 AdRoll’s default setting of 1 year. For a detailed look at historical replication jobs, check out the Syncing Historical SaaS Data guide.

Step 3: Create a replication schedule

Replication schedules affect the time Extraction begins, not the time to data loaded. Refer to the Replication Scheduling documentation for more information.

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.

AdRoll integrations support the following replication scheduling methods:

Replication Frequency
Anchor Scheduling
Advanced Scheduling using Cron (Advanced or Premium plans only)

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 4: Authorize Stitch to access AdRoll

In Stitch, click the Authorize button. You’ll be prompted to sign into your AdRoll account.
A screen explaining what you’re authorizing will display. Note: Stitch will only ever read your AdRoll data, and cannot create or modify records in AdRoll.
Click Sign in with AdRoll to sign into your AdRoll account.
After the authorization process successfully completes, you’ll be directed back to Stitch.
Click All Done.

Step 5: Set objects to replicate

Is an object missing or not replicating? Verify that the object meets the requirements for selection and replication.

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 AdRoll integrations, you can select:

Individual tables and columns
All tables and columns

Click the tabs to view instructions for each selection method.

In the integration’s Tables to Replicate tab, locate a table you want to replicate.
To track a table, click the checkbox next to the table’s name. A blue checkmark means the table is set to replicate.
To track a column, click the checkbox next to the column’s name. A blue checkmark means the column is set to replicate.
Repeat this process for all the tables and columns you want to replicate.
When finished, click the Finalize Your Selections button at the bottom of the screen to save your selections.

Important: Using the Select All feature will overwrite any previous selections. However, selections aren’t final until Finalize Your Selections is clicked. Clicking Cancel will restore your previous selections. Refer to the Select All guide for more info about this feature.

Click into the integration from the Stitch Dashboard page.
Click the Tables to Replicate tab.
In the list of tables, click the box next to the Table Names column.
In the menu that displays, click Track all Tables and Fields:
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 AdRoll, 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.

Initial replication jobs with Anchor Scheduling

If using Anchor Scheduling, an initial replication job may not kick off immediately. This depends on the selected Replication Frequency and Anchor Time. Refer to the Anchor Scheduling documentation for more information.

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.

Replication will continue after the seven days are over. If you’re no longer interested in this source, be sure to pause or delete the integration to prevent unwanted usage.

AdRoll table reference

Schemas and versioning

Schemas and naming conventions can change from version to version, so we recommend verifying your integration’s version before continuing.

The schema and info displayed below is for version 1 of this integration.

This is the latest version of the AdRoll integration.

Table and column names in your destination

Depending on your destination, table and column names may not appear as they are outlined below.

For example: Object names are lowercased in Redshift (CusTomERs > customers), while case is maintained in PostgreSQL destinations (CusTomERs > CusTomERs). Refer to the Loading Guide for your destination for more info.

ad_groups

The ad_groups table contains info about the adgroups contained within the campaigns of your AdRoll account.

Replication Method

Full Table

Primary Key

eid

Useful links

AdRoll documentation

ad_groups schema on GitHub

AdRoll API method

ad_groups table foreign keys

Join ad_groups with	on
ads	ad_groups.eid = ads.adgroups.id ad_groups.ads.id = ads.eid ad_groups.ads.id = ads.original_ad
campaigns	ad_groups.eid = campaigns.adgroups.items
ad_reports	ad_groups.ads.id = ad_reports.ad
segments	ad_groups.segments.id = segments.eid

ad_groups table schema

ad_optimization

STRING

ads

ARRAY

Click to expand ads

STRING

status

STRING

campaign

STRING

coops

ARRAY

created_date

DATE-TIME

demographic_targets

ARRAY

eid

STRING

flight_timezone

STRING

geo_targets

ARRAY

is_cats4gold

BOOLEAN

name

STRING

placement_targets

ARRAY

platform_targets

ARRAY

segments

ARRAY

Click to expand segments

STRING

is_negative

BOOLEAN

site_exclusions

ARRAY

space_optimization

STRING

status

STRING

type

STRING

updated_date

DATE-TIME

ad_reports

The ad_reports table contains ad-level reporting data from your AdRoll account.

Replication Method	Key-based Incremental
Primary Keys	eid date
Replication Key	date
Useful links	ad_reports schema on GitHub AdRoll API method

ad_reports table foreign keys

Join ad_reports with	on
ad_groups	ad_reports.ad = ad_groups.ads.id
ads	ad_reports.ad = ads.eid ad_reports.ad = ads.original_ad

Join ad_reports with

ad_groups

ad_reports.ad = ad_groups.ads.id

ads

ad_reports.ad = ads.eid

ad_reports.ad = ads.original_ad

ad_reports table schema

STRING

ad_size

STRING

adjusted_click_through_ratio

NUMBER

adjusted_cpa

NUMBER

adjusted_ctc

INTEGER

adjusted_total_conversion_rate

NUMBER

adjusted_total_conversions

INTEGER

adjusted_view_through_ratio

NUMBER

adjusted_vtc

INTEGER

advertiser

STRING

attributed_click_through_rev

NUMBER

attributed_rev

NUMBER

attributed_view_through_rev

NUMBER

billing_cost

NUMBER

click_cpa

NUMBER

click_through_conversions

INTEGER

click_through_ratio

NUMBER

clicks

INTEGER

cost

NUMBER

cpa

NUMBER

cpc

NUMBER

cpm

NUMBER

created_date

STRING

ctr

NUMBER

date

DATE-TIME

eid

STRING

height

INTEGER

impressions

INTEGER

paid_impressions

INTEGER

prospects

INTEGER

roi

NUMBER

status

STRING

total_conversion_rate

NUMBER

total_conversions

INTEGER

type

STRING

view_through_conversions

INTEGER

view_through_ratio

NUMBER

width

INTEGER

The ads table contains information about the ads and creatives associated with the advertisables in your AdRoll account.

Replication Method

Full Table

Primary Key

eid

Useful links

AdRoll documentation

ads schema on GitHub

AdRoll API method

ads table foreign keys

Join ads with	on
ad_groups	ads.adgroups.id = ad_groups.eid ads.eid = ad_groups.ads.id ads.original_ad = ad_groups.ads.id
campaigns	ads.adgroups.id = campaigns.adgroups.items
ad_reports	ads.eid = ad_reports.ad ads.original_ad = ad_reports.ad

Join ads with

ad_groups

ads.adgroups.id = ad_groups.eid

ads.eid = ad_groups.ads.id

ads.original_ad = ad_groups.ads.id

campaigns

ads.adgroups.id = campaigns.adgroups.items

ad_reports

ads.eid = ad_reports.ad

ads.original_ad = ad_reports.ad

ads table schema

ad_format

STRING

ad_format_id

INTEGER

ad_format_name

STRING

ad_parameters

ARRAY

adgroups

ARRAY

Click to expand adgroups

STRING

status

STRING

advertisable

STRING

app_id

STRING

body

STRING

body_dynamic

STRING

brand_name

STRING

call_to_action

STRING

created_date

DATE-TIME

destination_url

STRING

display_url_override

STRING

eid

STRING

has_edits

BOOLEAN

has_future_campaigns

BOOLEAN

has_pending_edits

BOOLEAN

headline

STRING

headline_dynamic

STRING

height

INTEGER

inventory_type

STRING

is_active

BOOLEAN

is_fb_dynamic

BOOLEAN

is_liquid

STRING

is_outlined

BOOLEAN

lead_gen_form_id

STRING

message

STRING

message_dynamic

STRING

multi_share_optimized

STRING

multiple_products

STRING

name

STRING

original_ad

STRING

outline_color

STRING

replacement_ad

STRING

src

STRING

status

STRING

type

STRING

updated_date

DATE-TIME

valid_clicktag

BOOLEAN

width

INTEGER

advertisables

The advertisables table contains information about the advertisables in your AdRoll account.

Replication Method

Full Table

Primary Key

eid

Useful links

AdRoll documentation

advertisables schema on GitHub

AdRoll API method

advertisables table foreign keys

Join advertisables with	on
campaigns	advertisables.eid = campaigns.advertisable
segments	advertisables.eid = segments.advertisable_eid

advertisables table schema

abm_onboarding_status

STRING

account

STRING

account_country_code

STRING

account_is_autobilled

BOOLEAN

account_is_prepaid

BOOLEAN

account_is_suspended

BOOLEAN

account_suspension_reason

STRING

admin_page_permission

BOOLEAN

am_email

STRING

approval_state

STRING

attached_users

ARRAY

blacklisted_sites

ARRAY

business_unit

STRING

campaign_monitor_client_api_key

STRING

campaign_monitor_client_id

STRING

click_through_conversion_window

INTEGER

cm_networks

STRING

company_phone

STRING

constant_contact_code

STRING

constant_contact_oauth_url

STRING

country_code

STRING

created_date

DATE-TIME

csm_admin

STRING

currency

STRING

default_homepage

STRING

default_utm

STRING

eid

STRING

enable_customer_multi_dur_segs

BOOLEAN

fb_offsite_pixels_tos_accepted

BOOLEAN

fbx_account_id

INTEGER

fbx_page_id

STRING

fbx_page_url

STRING

has_approved_consent_solution

BOOLEAN

has_approved_safari_add_on

BOOLEAN

has_created_campaign

BOOLEAN

has_offsite_pixels

BOOLEAN

has_privacy_policy

BOOLEAN

has_sales_and_leads_automation

BOOLEAN

hide_optins_page

BOOLEAN

homepage_enabled

BOOLEAN

iab1_category_id

INTEGER

iab1_category_name

STRING

iab2_category_id

INTEGER

iab2_category_name

STRING

iab_content_id

INTEGER

instagram_actor_id

STRING

ip_address_exclusions

ARRAY

is_abm_customer

BOOLEAN

is_active

BOOLEAN

is_b2b

BOOLEAN

is_campaign_monitor_syncing

BOOLEAN

is_constant_contact_syncing

BOOLEAN

is_coop_approved

STRING

is_kpi_eligible

BOOLEAN

is_managed

BOOLEAN

is_marketo_syncing

BOOLEAN

is_salesforce_system_owned

BOOLEAN

is_suspended

BOOLEAN

is_trusted

BOOLEAN

is_twitter_syncing

BOOLEAN

liquidads

STRING

logo_url

STRING

magellan_legacy

BOOLEAN

magellan_query

BOOLEAN

marketo_api_endpoint

STRING

marketo_client_id

STRING

marketo_secret_key

STRING

name

STRING

nbam_admin

STRING

ops

STRING

optimizer

STRING

optimizer_email

STRING

organization

STRING

page_access_request_status

STRING

path_name

STRING

product_name

STRING

recent_theme_color

STRING

reskin_enabled

BOOLEAN

revshare_click_percent

NUMBER

revshare_view_percent

NUMBER

rollcrawl_enabled

BOOLEAN

rollworks_self_serve_ads

BOOLEAN

safari_add_on_theme

STRING

saleser

STRING

self_serve_prospecting_enabled

BOOLEAN

show_dpa

BOOLEAN

show_web_dynamic_ads

BOOLEAN

source

STRING

status

STRING

twitter_handle

STRING

uhura_enabled

BOOLEAN

updated_date

STRING

url

STRING

use_universal_campaigns

BOOLEAN

view_through_conversion_window

INTEGER

zvelo_category_id

INTEGER

zvelo_category_name

STRING

campaigns

The campaigns table contains information about the advertising campaigns in your AdRoll account.

Replication Method

Full Table

Primary Key

eid

Useful links

AdRoll documentation

campaigns schema on GitHub

AdRoll API method

campaigns table foreign keys

Join campaigns with	on
ad_groups	campaigns.adgroups.items = ad_groups.eid
ads	campaigns.adgroups.items = ads.adgroups.id
advertisables	campaigns.advertisable = advertisables.eid
segments	campaigns.advertisable = segments.advertisable_eid

campaigns table schema

abm_type

STRING

adgroups

ARRAY

advertisable

STRING

bid_strategy

STRING

bid_strategy_target

STRING

bid_type

STRING

budget

NUMBER

campaign_type

STRING

cpc

NUMBER

cpm

NUMBER

created_date

DATE-TIME

eid

STRING

end_date

DATE-TIME

facebook_campaign_objective

STRING

frequency_cap

STRING

is_active

BOOLEAN

is_apple

BOOLEAN

is_cats4gold

BOOLEAN

is_coop

BOOLEAN

is_facebook

BOOLEAN

is_fb_lookalike

BOOLEAN

is_fb_wca

BOOLEAN

is_fbx_newsfeed

BOOLEAN

is_pubgraph

BOOLEAN

is_retargeting

BOOLEAN

is_rtb

BOOLEAN

max_cpm

NUMBER

name

STRING

pa_sales_stage_eid

STRING

pricing_strategies

ARRAY

source

STRING

spend_limit_until

STRING

start_date

DATE-TIME

status

STRING

ui_budget_daily

BOOLEAN

updated_date

DATE-TIME

use_case

STRING

segments

The segments table contains information about segments, or the lists of users that visit your AdRoll site.

Replication Method

Full Table

Primary Key

eid

Useful links

AdRoll documentation

segments schema on GitHub

AdRoll API method

segments table foreign keys

Join segments with	on
advertisables	segments.advertisable_eid = advertisables.eid
campaigns	segments.advertisable_eid = campaigns.advertisable
ad_groups	segments.eid = ad_groups.segments.id

segments table schema

advertisable_eid

STRING

conversion_value

STRING

created_date

DATE-TIME

display_name

STRING

duration

INTEGER

duration_sec

INTEGER

eid

STRING

group

INTEGER

has_default_rule

BOOLEAN

is_active

BOOLEAN

match_method

STRING

name

STRING

parent_id

STRING

pattern

STRING

product

STRING

recent_first_match

BOOLEAN

rule

STRING

rule_id

INTEGER

source

STRING

threshold

INTEGER

type

STRING

Questions? Feedback?

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Related	Troubleshooting
Destination & Integration Compatibility Replication Scheduling Syncing Historical SaaS Data Resetting Replication Keys Nested Data Structures & Row Count Impact	Third-Party Downtime Understanding & Reducing Your Usage Re-Authorizing Integrations Replication Issues