Act-On
SourceUse Dataddo's Act-On connector to explore any data available via the official API of Act-On. Access hundreds of metrics and attributes, from basic to advanced. Build and blend custom datasets directly in Dataddo, then send them anywhere.
Explore Data You Can Extract from Act-On
Data Category
- All Attributes (159)
- Click through (4)
- Click through detail (13)
- Form Report (8)
- Forms (11)
- Hard bounces (3)
- Landing Pages Report (8)
- Landing pages (7)
- Lists (12)
- Media (7)
- Media Report Drilldown (8)
- Message Report (25)
- Message Report By Drilldown (16)
- Message Report Individual (24)
- Messages (7)
- Opt-Outs (3)
- Spam complaints (3)
Need fields you don't see?
Let us know and we'll add them to the connector. Just send a request here..
Available Attributes (159)
| Attribute |
|---|
clicthrough_url URL |
timestamp Sent date |
msg_id Message ID |
count Count |
action Action |
browser Browser |
data Data |
email sensitive |
ip sensitive IP |
linkURI Link URI |
listid List ID |
name sensitive Name |
os OS |
recid Receiver ID |
timestamp Timestamp |
when When |
msg_id Message ID |
form_id Form ID |
form_title Form title |
non_submitters Non submitters |
percent Percent |
source Source |
submits Submits |
unique Unique |
views Views |
creation_time Creation time |
seoerrors SEO errors |
seowarnings SEO warnings |
ecommerce Ecommerce |
description Description |
modified Modified |
_id ID |
title Title |
seoId SEO ID |
url URL |
folder_name Folder name |
timestamp Timestamp |
origin Origin |
email sensitive |
page_id Page ID |
page_title Page title |
incoming_traffic Incoming traffic |
total_clicks Total clicks |
total_visits Total visits |
unique_known_visits Unique known visits |
unique_unknown_clicks Unique unknown clicks |
unique_unknown_visits Unique unknown visits |
creation_time Creation time |
modified Modified |
id ID |
title Title |
url URL |
tags Tags |
folder Folder |
id List ID |
name Name |
folder_name Folder Name |
source_id Source ID |
base_id Base ID |
description Description |
source_size Source Size |
source_name Source Name |
ts_last_modified Ts Last Modified |
ts_last_counted Ts Last Counted |
ts_source Ts Source |
source_ts Source Ts |
creation_time Creation time |
last_modified Last Modified |
id ID |
name Name |
size Size |
url URL |
folder_name Folder name |
action Action |
campaign Campaign |
cid CID |
known Known |
recipient sensitive Recipient |
srcid SR CID |
total_count Total count |
timestamp Timestamp |
title Title |
subject Subject |
delivered Delivered |
bounced Bounced |
hardBounced Hard Bounced |
softBounced Soft Bounced |
notopened Not Opened |
optout Opt out |
spam Spam |
rebroadcast Rebroadcast |
rebroadcastClick Rebroadcast Click |
msgId Message ID |
lastOpen Last Open |
lastClick Last Click |
sent Sent |
opened_unique Opened unique |
opened_total Opened total |
clicked_unique Clicked unique |
clicked_total Clicked total |
notsent_unique Not sent unique |
notsent_total Not sent total |
effectiveopened_unique Effective opened unique |
effectiveopened_total Effective opened total |
sentto Sent to |
timestamp Sent date |
browser Browser |
email sensitive |
ip sensitive Ip |
listid Listid |
name Name |
os Os |
recid Recid |
ts Ts |
when When |
action Action |
data Data |
linkURI Linkuri |
bounce_type Bounce Type |
reason Reason |
type Type |
detail Detail |
title Title |
subject Subject |
delivered Delivered |
bounced Bounced |
hardBounced Hard Bounced |
softBounced Soft Bounced |
notopened Not Opened |
optout Opt out |
spam Spam |
rebroadcast Rebroadcast |
rebroadcastClick Rebroadcast Click |
msgId Message ID |
lastOpen Last Open |
lastClick Last Click |
sent Sent |
opened_unique Opened unique |
opened_total Opened total |
clicked_unique Clicked unique |
clicked_total Clicked total |
notsent_unique Not sent unique |
notsent_total Not sent total |
effectiveopened_unique Effective opened unique |
effectiveopened_total Effective opened total |
sentto sensitive Sent to |
title Title |
msg_id Message ID |
sender_name sensitive Sender name |
sender_id Sender ID |
is_text_only Is text only |
timestamp Timestamp |
sender_email sensitive Sender email |
timestamp Timestamp |
origin Origin |
email sensitive |
timestamp Timestamp |
origin Origin |
email sensitive |
Pricing
See all Dataddo plans
Compare Dataddo's flow-based pricing tiers side by side and start your 14-day free trial.
View pricingWhy Dataddo?
One Ingestion Layer for SaaS, Databases, and Files
Most teams use multiple tools and “spaghetti code” for ingestion, depending on the type of sources and loading patterns. Dataddo brings this under one control plane and one predictable pricing structure. 400+ connectors included.
Built for Cloud and On-Premise Environments
Run Dataddo in both cloud and hybrid on-prem configurations. The control plane stays in the cloud; your data never leaves your perimeter. Supports segmented and private networks, and legacy systems including DB2, Informix, and Sybase.
Full API Control - No UI Required
Dataddo is built API-first. Use the UI when you want it; bypass it entirely when you don’t and orchestrate your pipelines programmatically.
Managed Ingestion Operations. We Own the Reliability.
Dataddo takes operational responsibility for your ingestion layer. We manage connector maintenance, handle API changes from source systems, monitor pipelines proactively, and execute backfills and recovery. Your engineering team doesn’t have to.
Full Visibility Into Every Data Flow
Dataddo gives you complete observability across your ingestion layer: pipeline logs, run histories, data lineage, and audit trails. Know what moved, when it moved, what changed, and why. Built for environments where explainability and accountability are not optional.
The Data Foundation Your AI Needs
Enterprise AI depends on a governed, secure data layer. Dataddo consolidates SaaS, database, and file data into a unified managed pipeline, delivering to vector databases, feature stores, and data lakes, with native sensitive data hashing.
See What Other Organizations Have Achieved with Dataddo
37.5%
reduction
of infrastructure bill
on average
5-9
man-hours
per week saved
on data collection
70%
less
engineering work,
more time analyzing data
Our Customers Love Us
Amalia Bornstein
Global Social Content and Marketing Data Analyst
Uber Eats
“The data team at Uber Eats appreciates Dataddo's user-friendly interface that is designed for operation by non-technical team members in an order to minimalize the need for excessive training to support efficient project delivery.”
Andrew Hart
Chief Operations Officer
Sat 7
“Working with Dataddo has greatly simplified our reporting and given us access to trend data and insights that we were previously unable to generate.”
Vahan Petrosayan
Director of IT & Infrastructure
Search Engine Journal
“With Dataddo, all of my questions get answered faster …[and it's] fun to play with data now.”
Michael Guntenaar
CTO
ID&T Group
“Dataddo opens up gates and takes away the hurdles of working with data.”
Laurent Partouche
CPO
FoodChéri & Seazon
“We chose Dataddo for its user-friendliness, automatic transformations, clear pricing policy, and the quality of the human relationship that was established from our first exchanges.”
Natheer Maloon
Technology Solutions Manager
Boldr
“Dataddo support proved immensely valuable throughout the implementation phase. 9.5 out of 10.”
Zdeněk Hejnak
Data Development Team Leader
Livesport
“We save about 70% of the time it would otherwise take to ingest all our data, or 3-4 full-time equivalents, and spend this much more time on data analytics and activation. We only have one full-time data engineer, who does more than just collect data, while our BI team consists of 11 members.”
Greg Senior
Business Operations Manager
Farm Focus
“Appreciate all the help and support for us. A refreshing level of service from a tech company! Thank you!”