ActiveCampaign is a marketing automation and customer relationship management (CRM) platform. It lets businesses automate marketing campaigns, track customer actions, and manage leads. It can also send targeted messages. This helps you engage with customers and prospects at each step of the journey.
Refer to our website for the list of metrics and attributes available in Dataddo.
Refer to ActiveCampaign's official documentation to see all available endpoints from the ActiveCampaign API.
Authorize Connection to ActiveCampaign
In ActiveCampaign
To authorize your ActiveCampaign account, you need a key (= API token) and your subdomain name.
- In your ActiveCampaign account, click on Settings on the left of the menu. Then select Developer.
- Copy your API URL and Key.
The API URL has this format: https://example.api-us1.com. The subdomain name is the first part ('example).
In Dataddo
- On the Authorizers page, click on Authorize New Service and select ActiveCampaign.
- Fill in the following fields:
- Subdomain: Name of your subdomain, e.g.
example(fromhttps://example.api-us1.com). - API Token: API key generated by ActiveCampaign.
- Subdomain: Name of your subdomain, e.g.
- Save your authorizer.
Data Coverage
ActiveCampaign exposes the following datasets. Each dataset maps to a table you can extract. The example fields are just a sample. Each dataset returns more columns.
| Dataset | Description | Example fields | Date range |
|---|---|---|---|
| Accounts | Retrieve all existing account | Id, Account Url, Contact Count, Created Timestamp, Deal Count, Links Account Contacts (+8 more) | No |
| Automations | List of all Automations. | ID, cdate, Default Screenshot, Entered, Exited, Hidden (+5 more) | No |
| Campaign Lists | Retrieve Campaign's lists | ID, Campaign, Campaign ID, Created date, List, list_amt (+4 more) | No |
| Campaign Messages | Retrieve Campaign's lists | ID, Campaign, Campaign name, Campaign ID, Forwards, Hardbounces (+23 more) | No |
| Campaigns | Retrieves a list of your campaigns. | ID, Activerss interval, Activerss items, Activerss URL, Address ID, Analytics campaign name (+80 more) | No |
| Contact Automations | List all automations a contact is in. | Id, Add Date, Automation, Batch Id, Complete Value, Completed (+12 more) | No |
| Contact Lists | Retrieve a contact's list memberships | ID, Automation, Auto Sync Log, Campaign, Contact, Created By (+28 more) | No |
| Contact tags | Retrieve information about tags given to your contacts | ID, Creation date, Contact, Created by, Created timestamp, Tag (+2 more) | No |
| Contacts | Represent the people that the owner of an ActiveCampaign account is marketing to | ID, Adate, Bounced date, Bounced hard, Bounced soft, Created date (+18 more) | No |
| Custom contact field values | List all custom contact field values | ID, Creation date, Contact, Created by, Field, Owner (+3 more) | No |
| Custom contact fields | List all custom contact fields | ID, Cols, Created by, Created timestamp, Default value, Description (+11 more) | No |
| Deal Custom Field Values | List all deal custom field values | ID, Created Time Stamp, Custom Field ID, Deal Custom Field Metum ID, Deal ID, Field Value (+3 more) | No |
| Deal Lists | List all deals | Id, Activity Count, C Date, Contact, Currency, Description (+15 more) | No |
| Email Activities | List of all email activities | ID, Account, Automation Name, Cc Address, Contact, D ID (+24 more) | No |
| Groups | List of all groups | ID, Descript, Links addressGroups, Links automationGroups, Links dealGroupGroups, Links groupLimit (+83 more) | No |
| Lists | Retrieves lists data. A list is a group of contacts that campaigns can be sent to. | ID, Analytics domains, Analytics source, Analytics UA, Carboncopy, Created date (+44 more) | No |
| Messages | List of all messages | ID, Cdate, Charset, ed Instance ID, ed Version, Encoding (+21 more) | No |
| Pipeline Lists | List all pipelines | Id, All Groups, All Users, Auto Assign, Cdate, Currency (+2 more) | No |
| Scores | List of all scores | ID, cdate, Links scoreCalcHistory, mdate, Name, Realtype | No |
| Stages Lists | List all stages | Id, Card Region 1, Card Region 2, Card Region 3, Card Region 4, Card Region 5 (+8 more) | No |
| Tags | Retrieve a list of your tags | ID, Creation date, Created by, Created timestamp, Description, Subscriber count (+4 more) | No |
| Deal Tasks | List all tasks | ID, Assigned Date, Assignee, Automation, Cdate, Created Utc Timestamp (+34 more) | No |
| Tasks - Outcomes | List all tasks outcomes | ID, Created By, Created UTC Timestamp, Dealtasktype ID, Disabled, Links Deal Tasks (+5 more) | No |
| Task Type - Outcome Relations | Retrieve all existing task type - outcome relations | ID, Created By, Created UTC Timestamp, Display Order, Links Created By, Links Outcome (+7 more) | No |
| Tasks - Types | Retrieve all existing task types | ID, Cdate, Created By, Created UTC Timestamp, Defduration, Display Order (+7 more) | No |
| Users | List of all users | ID, Email, First Name, Lang, Last Name, Links Configs (+12 more) | No |
How Data Extraction Works
None of this connector's datasets use a date range. Every run pulls all currently available data.
Metadata Columns
When you create a source, you can add these Dataddo metadata columns to the extracted data:
- dataddo_hash - a fingerprint built from each record's key fields. It works as a natural key, so it is ideal for upserts (updating existing rows in your destination instead of creating duplicates).
- dataddo_extraction_timestamp - the date and time the row was extracted. Use it to track how records change over time, for example to build slowly changing dimensions.
How to Create an ActiveCampaign Data Source
Creating a data source takes you through six steps, shown in the progress bar at the top of the wizard. Each step is explained below.
1. Pick the connector
On the Sources page, click Create Source, then select the connector from the catalog. Use the search bar or the category tabs if you do not see it right away. You can rename the source at any time using the pencil icon next to its name.
2. Select the dataset
A dataset defines the shape of your data: which fields you get and how they relate. Select the dataset you want; you can still fine-tune the exact fields later.
- Each dataset has a short description of what it contains. Use the search box to find a dataset, attribute, or metric by name.
- The panel on the right previews the selected dataset's fields. For each field you can see its data type, whether it holds sensitive data (personal fields such as name or email are flagged), and which other datasets it links to, so you can see how the datasets relate.
3. Choose the account
This step selects what Dataddo reads from.
- Authorizer: Select an account you have already authorized from the drop-down. If you have none yet, choose Add new account and follow the prompts. If no authorizer is selected, Dataddo asks you to authorize before you continue.
- What to extract from: Select the exact entity you want to pull data from. Depending on the service this may be labelled an account, property, profile, workspace, or similar, sometimes with a sub-level to choose as well.
- Multiple accounts: To pull the same data from every entity you can access, turn on Automatically collect data from all .... This is multi-account extraction. Leave it off to choose them by hand.
4. Refine the attributes and metrics
The dataset already sets the structure. Here you fine-tune it: tick or untick the specific attributes and metrics you want to keep, and use the search box to find a field quickly. Click Test on Sample Data at any point to preview the result before you continue.
5. Add metadata columns (optional)
Two optional columns help your destination handle the data.
- Dataddo Hash (Include Row Hash): a fingerprint built from the columns you pick. It works as a natural key, so your destination can deduplicate rows and run upserts instead of creating duplicates. Turn it on, then select the columns that uniquely identify a row.
- Dataddo Extraction Timestamp: the time each row was extracted. Use it to watermark the data, for example to build slowly changing dimensions or to track when a value last changed.
6. Set the schedule
Decide how often Dataddo runs the extraction.
- Frequency: how often the pipeline runs, for example daily. Click Show advanced settings to also set the exact hour and minute (UTC).
- Date range: the relative window each run extracts, for example "Yesterday". The window moves forward on every run.
- Historical data: a new source starts from the current window. To load older data, run a full data re-sync after the source is created.
- Allow Empty Data Extractions: when on, a run that returns no data records zero rows instead of failing. Turn it on if the source can legitimately have periods with no data.
Click Save. Your data source is ready.
Troubleshooting
Data Preview Unavailable
No data preview when you click on Test Data might be caused by an issue with your source configuration. The most common causes are:
- Date range: Try a smaller date range. You can load the rest of your data afterward via manual data load.
- Insufficient permissions: Please make sure your authorized account has at least admin-level permissions.
Related Articles
Now that you have successfully created a data source, see how you can connect your data to a dashboarding app or a data storage.
Sending Data to Dashboarding Apps
Sending Data to Data Storages
Other Resources