AdRoll

Estimated reading time: 6 min

AdRoll helps you advertise to potential customers (website visitors or email addresses) and make them come to your site and convert.

In this article, you’ll find the answers to the following questions:

Creating an Integration

From your Slemma account, head over to the Library page and click the plus button at the bottom right. Select Integration from the submenu.

In the following page, you can find AdRoll with one of the following ways:

  1. Scroll down and select AdRoll from the list of Integrations.
  2. Use search to find AdRoll from the list of Integrations.
  3. Choose AdRoll using All dropdown list > Marketing.

You’ll see the Integration settings dialog window. You can select the frequency for the automatic updates on the DATA REFRESH tab, or set weeks settings on the ADVANCED tab.

Enter the credentials to the Integration settings window.

After authorization, the integration will be created and it will appear in your account in the list of objects. Now you are able to share the integration with either individuals or the entire Team, rename or remove the integration. To view the options available for the integration, right click it in the list.

Creating a Dataset

A dataset is a collection of data in a tabular format that is created on one of the possible data sources. The datasets can be used to create dashboards or individual charts.

To create a dataset, click your AdRoll integration in the list and select Browse datasets. From the following page, select which data you want to add to use in your charts.

NOTE: Cloud Service Integrations have prebuilt datasets that are not editable.

Click dataset’s name for a description of each dataset.

This data source contains information about your ad groups such as the average number of clicks per day per ad group.

Dimensions

  1. Status – This adgroup’s current status
  2. Created – Date this adgroup was created
  3. Name – The name of this adgroup
  4. Campaign – The name of the campaign that this adgroup is associated with
  5. Report Date – Date on which statistics were received
  6. Advertiser – The name of the advertisable

Measures

  1. Count Ads – The number of ads in this adgroup
  2. Impressions Count – The number of times your ad was served
  3. Clicks Count – The total number of clicks on your ad
  4. Events Count – The number of events for this ad
  5. Cost – The total cost the advertisable incurs to service the impressions and clicks
  6. VTC – Number of times a user viewed an ad within the view through window
  7. CTC – Number of times a user clicked on an ad within the click through window
  8. Revenue (view) – Attributed revenue generated from all view through conversions
  9. Revenue (click) – Attributed revenue generated from all click through conversions
  10. Number of records – Number of records

This data source contains information about your ads such as the attributed revenue generated from all view through conversions.

Dimensions

  1. Name – The name of the ad
  2. Type – The type of the ad
  3. Status – The status of the ad. Possible values: approved, admin_review, paused
  4. Created – Date this ad was created
  5. Is active – Whether or not this ad is currently active
  6. Report Date – Date on which statistics were received
  7. Advertiser – The name of the advertisable

Measures

  1. Impressions Count – The number of times your ad was served
  2. Clicks Count – The total number of clicks on your ad
  3. Events Count – The number of events for this ad
  4. Cost – The total cost the advertisable incurs to service the impressions and clicks
  5. VTC – Number of times a user viewed an ad within the view through window
  6. CTC – Number of times a user clicked on an ad within the click through window
  7. Revenue (view) – Attributed revenue generated from all view through conversions
  8. Revenue (click) – Attributed revenue generated from all click through conversions
  9. Number of records – Number of records

Templates

  1. CTC by Advertiser and Ad Name over the last 30 days – Compare the click-through conversions by ad name over the last 30 days.
  2. Number of Ads by Status over the last 30 days – Shows the number of ads by status over the last 30 days.
  3. Total Clicks by Ad Name over the last 30 days – Shows the number of clicks for all your ads over the last 30 days.
  4. VTC by Advertiser and Ad Name over the last 30 days – Shows the view-through conversion by advertiser and by ad name over the last 30 days.

This data source contains information on your advertisables such as the CTC by the associated product name.

Dimensions

  1. Name – The name of the advertisable
  2. Is Active – Whether or not the advertisable is currently active
  3. Status – The status of the advertisable. Possible values: admin_review, approved, rejected
  4. Product Name – The advertisable’s specified product or brand
  5. Created – Date this advertisable was created
  6. Organization – The name of this advertisable’s organization
  7. Is Coop Approved – Whether or not the advertisable has approved the data co-op terms of use
  8. Is Publisher – Whether or not this advertisable is a publisher
  9. Approval State – Auto approval state derived from /zvelo service and/or manually overridden
  10. Category Name – 3rd party service category name
  11. Report Date – Date on which statistics were received

Measures

  1. Attached Users – The number of additional users allowed to access the advertisable
  2. VTC – Number of times a user viewed an ad within the view through window
  3. CTC – Number of times a user clicked on an ad within the click through window
  4. Revenue (view) – Attributed revenue generated from all view through conversions
  5. Revenue (click) – Attributed revenue generated from all click through conversions
  6. Number of records – Number of records

Templates

  1. Click-through vs. View-through Revenue over the last 30 days – Compare the click-through and view-through revenues over the last 30 days.

This data source contains information contains information about your campaigns such as the number of active retargeting campaigns and their respective CPM.

Dimensions

  1. Status – The status of the campaign. Possible values: admin_review, approved, rejected, cancelled, completed
  2. Name – The name of this campaign
  3. Is Active – Whether or not this campaign is currently active
  4. Is Facebook – Whether or not this campaign is configured for the Facebook network
  5. Is Facebook News Feed – Whether or not this campaign is configured for the Facebook Newsfeed
  6. Is Retargeting – Whether or not this campaign is a retargeting campaign
  7. Is Apple – Whether or not this campaign is an Apple iAd campaign
  8. Is Facebook WCA – Whether or not this campaign is a Facebook WCA (Website Custom Audiences) campaign
  9. Created – Date this campaign was created
  10. Ui Budget Daily – Whether or not this campaign is configured with a daily budget in the UI
  11. Spend Limit Until – Date the campaign can resume spending after being limited by spendtracker
  12. Is Coop – Whether or not this is a coop (data sharing) campaign
  13. Is Pub – Whether or not this is a publisher graph campaign
  14. Advertiser – The name of the advertisable to which this campaign belongs

Measures

  1. CPC – The cost per click for this campaign
  2. CPM – The cost per thousand impressions for this campaign
  3. Budget – The weekly budget of the campaign
  4. Max CPM – The maximum CPM for this campaign
  5. Campaigns Count – Campaigns Count

This data source contains information about your segments such as the average visitor count per segment type or segment name.

Dimensions

  1. Display Name – Optional name of the segment used for display purposes
  2. Name – The name of the segment
  3. Type – The type of the segment. Possible values: conversion, segment
  4. Match Method – The match method used for the segment
  5. Report Date – Date on which statistics were received
  6. Advertiser – The name of the advertisable to which this segment belongs

Measures

  1. Visitors Count – Total number of visitors that visited a page
  2. Revenue – The amount of revenue brought in from those visitors
  3. VTC – Number of times a user viewed an ad within the view through window
  4. CTC – Number of times a user clicked on an ad within the click through window
  5. Revenue (view) – Attributed revenue generated from all view through conversions
  6. Revenue (click) – Attributed revenue generated from all click through conversions
  7. Number of Records – Number of Records

Templates

  1. CTC vs. VTC over the last 30 days – Compare the click-through and view-through conversions over the last 30 days.
  2. Total сlick-through vs. View-through Revenue over the last 30 days – Track the click-through and view-through revenues over the last 30 days.
  3. Total Views by Advertiser over the last 30 days – Track the number of views by advertiser over the last 30 days.

Creating a Chart

Click a dataset or integration and select Create dashboard/Create saved chart/Create presentation to start building a chart (please note that presentations are available starting from the Standard Plan).

From the next page, you can choose to create your own chart from scratch, or you can apply one of the templates we created.

  • If you choose to build a new chart from scratch (“Blank” option), the Chart designer will open. Go here to learn how to create a chart in the Chart designer.
  • If you choose a template, a new chart will be added to a dashboard/saved chart/presentation (depending on the way you start the chart creation).
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