Release Status Released Supported By Stitch
Availability Free Status Page AdRoll Status Page
Default Historical Sync 1 year Default Replication Frequency 30 minutes
Whitelisting Unsupported Destination Incompatibilities None

Connecting AdRoll

Connecting your AdRoll data to Stitch is a four-step process:

  1. Create an AdRoll user for Stitch
  2. Add AdRoll as a Stitch data source
  3. Define the Historical Sync
  4. Define the Replication Frequency

Create an AdRoll User for Stitch

While you can use your own credentials to connect AdRoll to Stitch, we recommend creating a separate user for us. This will make it easier for you to manage users and audit events in your AdRoll account.

We require a General User role - which is the default - to be able to replicate your AdRoll data. Note that Stitch does not need billing access. If you need help creating an AdRoll user, you can find instructions here in AdRoll’s support docs.

Add AdRoll 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 AdRoll icon.

  4. Enter a name for the integration. This is the name that will display on the 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.

  5. Enter the email address and username for the Stitch AdRoll user.

Define the Historical Sync

The Sync Historical Data setting will define the starting date for your AdRoll integration. This means that:

  • For tables using Incremental Replication, data equal to or newer than this date will be replicated to your data warehouse.
  • For tables using Full Table Replication, all data - including records that are older, equal to, or newer than this date - will be replicated to your data warehouse.

Change this setting if you want to sync data beyond AdRoll’s default setting of 1 year. For a detailed look at historical syncs, check out the Syncing Historical SaaS Data guide.

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.

Stitch offers two methods of creating a replication schedule:

  • Replication Frequency: This method requires selecting the interval you want replication to run for the integration. Start times of replication jobs are based on the start time and duration of the previous job. Refer to the Replication Frequency documentation for more information and examples.
  • Anchor scheduling: Based on the Replication Frequency, or interval, you select, this method “anchors” the start times of this integration’s replication jobs to a time you select to create a predictable schedule. Anchor scheduling is a combination of the Anchor Time and Replication Frequency settings, which must both be defined to use this method. Additionally, note that:

    • A Replication Frequency of at least one hour is required to use anchor scheduling.
    • An initial replication job may not begin immediately after saving the integration, depending on the selected Replication Frequency and Anchor Time. Refer to the Anchor Scheduling documentation for more information.

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

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.

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.


AdRoll Schema

Stitch's AdRoll integration includes these tables:


adroll_ad_groups

Replication Method: Full Table
Primary Key: eid
Contains Nested Structures?: Yes

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

Table Info & Attributes

adroll_ad_groups & Nested Structures

This table contains nested structures. If you use a data warehouse that doesn't natively support nested structures, some of the attributes listed below may be in a subtable.

These items are marked with a *

adroll_ad_groups Attributes

While we try to include everything AdRoll has here, this may not be a full list of attributes. Refer to AdRoll's documentation for a full list and description of each attribute.

  • Adgroup ID (eid)

  • Ad info*

  • ad_optimization

  • campaign

  • created_date

  • flight_timezone

  • name

  • Segment info*

  • space_optimization

  • status

  • type

  • updated_date

adroll_ad_reports

Replication Method: Key-based Incremental
Primary Key: eid
Contains Nested Structures?: No

The adroll_ad_reports table contains ad-level reporting data.

Table Info & Attributes

Each row in this table contains totals for the ad, by date.

adroll_ad_reports Attributes

While we try to include everything AdRoll has here, this may not be a full list of attributes. Refer to AdRoll's documentation for a full list and description of each attribute.

  • Ad ID (eid)

  • ad

  • ad_size

  • adjusted_click_through_ratio

  • adjusted_cpa

  • adjusted_cpa_usd

  • adjusted_ctc

  • adjusted_total_conversion_rate

  • adjusted_total_conversions

  • adjusted_view_through_ratio

  • adjusted_vtc

  • advertiser

  • click_cpa

  • click_cpa_usd

  • click_through_conversions

  • click_through_ratio

  • clicks

  • cost

  • cost_usd

  • cpa

  • cpa_usd

  • cpc

  • cpc_usd

  • cpm

  • cpm_usd

  • created_date

  • ctr

  • date

  • height

  • impressions

  • paid_impressions

  • prospects

  • status

  • total_conversion_rate

  • total_conversions

  • type

  • view_through_conversions

  • view_through_ratio

  • width

adroll_ads

Replication Method: Full Table
Primary Key: eid
Contains Nested Structures?: Yes

The adroll_ads table contains about the ads, or creatives, associated with the advertisables in your account.

Table Info & Attributes

adroll_ads & Nested Structures

This table contains nested structures. If you use a data warehouse that doesn't natively support nested structures, some of the attributes listed below may be in a subtable.

These items are marked with a *

adroll_ads Attributes

While we try to include everything AdRoll has here, this may not be a full list of attributes. Refer to AdRoll's documentation for a full list and description of each attribute.

  • Ad ID (eid)

  • ad_format

  • ad_format_id

  • ad_format_name

  • Ad Group info*

  • advertisable

  • call_to_action

  • created_date

  • destination_url

  • has_edits

  • has_future_campaigns

  • has_pending_edits

  • height

  • inventory_type

  • is_active

  • is_fb_dynamic

  • is_outlined

  • name

  • original_ad

  • outline_color

  • src

  • status

  • type

  • updated_date

  • valid_clicktag

  • width

adroll_advertisables

Replication Method: Full Table
Primary Key: eid
Contains Nested Structures?: No

The adroll_advertisables table contains about the advertisables (typically the parent object for a brand) in your AdRoll account.

Table Info & Attributes

adroll_advertisables Attributes

While we try to include everything AdRoll has here, this may not be a full list of attributes. Refer to AdRoll's documentation for a full list and description of each attribute.

  • Advertisable ID (id)

  • is_active

  • name

  • organization

  • status

  • url

  • product_name

  • click_through_conversion_window

  • view_through_conversion_window

  • created_date

  • updated_date

  • attached_users*

  • blacklisted_sites

  • enable_customer_multi_dur_segs

  • is_coop_approved

  • is_publisher

  • cm_networks

  • iab1_category_id

  • iab1_category_name

  • iab2_category_id

  • iab2_category_iname

  • zvelo_category_id

  • zvelo_category_name

  • approval_state

  • has_privacy_policy

  • ops

  • optimizer

  • saleser

  • liquidads

adroll_campaigns

Replication Method: Full Table
Primary Key: eid
Contains Nested Structures?: Yes

The adroll_campaigns table contains about the advertising campaigns in your account.

Table Info & Attributes

adroll_campaigns & Nested Structures

This table contains nested structures. If you use a data warehouse that doesn't natively support nested structures, some of the attributes listed below may be in a subtable.

These items are marked with a *

adroll_campaigns Attributes

While we try to include everything AdRoll has here, this may not be a full list of attributes. Refer to AdRoll's documentation for a full list and description of each attribute.

  • Campaign ID (eid)

  • adgroups*

  • advertisable

  • budget

  • ui_budget_daily

  • created_date

  • cpc

  • cpm

  • end_date

  • is_active

  • is_facebook

  • is_fbx_newsfeed

  • is_retargeting

  • is_fb_wca

  • is_apple

  • max_cpm

  • name

  • promotion

  • pricing_strategies

  • start_date

  • status

  • updated_date

  • is_coop

  • is_pubgraph

  • spend_limit_until

  • created_date

  • updated_date

adroll_segments

Replication Method: Full Table
Primary Key: eid
Contains Nested Structures?: No

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

Table Info & Attributes

adroll_segments Attributes

While we try to include everything AdRoll has here, this may not be a full list of attributes. Refer to AdRoll's documentation for a full list and description of each attribute.

  • Segment ID (eid)

  • display_name

  • name

  • type

  • match_method

  • pattern

  • threshold

  • duration

  • conversion_value

  • group

  • mobile



Questions? Feedback?

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