Copernica
Use Dataddo's Copernica connector to explore any data available via the official API of Copernica. Access hundreds of metrics and attributes, from basic to advanced. Build and blend custom datasets directly in Dataddo, then send them anywhere.
Data Category
Collections Miniviews (11)
Fetch the miniselections applied to the collections
Consumptions (7)
Fetch the account consumptions
Database Collections (15)
Fetch all collections.
Database Fields (15)
Fetch all available databases fields
Database Interests (8)
Fetch all databases interests
Database Views (14)
Fetch all views applied to the database
Identity (4)
Fetch the account information
Marketing Suite Emailings (11)
Fetch all mailings
Marketing Suite Emailings Statistics (11)
Fetch all marketing suites mailings statistics
Marketing Suite Templates (6)
Fetch all templates
Marketing Suites Clicks (10)
Fetch all click for Marketing Suites.
Marketing Suites Delivery (7)
Fetch all deliveries for Marketing Suites.
Marketing Suites Errors (10)
Fetch all errors for Marketing Suites.
Marketing Suites Impressions (9)
Fetch all impression for Marketing Suites.
Publisher Abuses (10)
Fetch all abuses for Publisher.
Publisher Clicks (12)
Fetch all clicks for Publisher.
Publisher Deliveries (8)
Fetch all delivery for Publisher.
Publisher Documents (7)
Fetch all documents.
Publisher Emailings (18)
Fetch all mailings
Publisher Emailings Snapshots (5)
Fetch all mailings snapshots
Publisher Emailings Statistics (10)
Fetch all mailings statistics
Publisher Errors (10)
Fetch all errors for Publisher.
Publisher Impressions (10)
Fetch all impressions for Publisher.
Publisher Scheduled Emailings (19)
Fetch all scheduled mailings
Publisher Templates (3)
Fetch all templates
Publisher Unsubscribed (8)
Fetch all unsubscribes for Publisher.
Single Database Collections (15)
Fetch all information for a single database collections
Single Database Fields (15)
Fetch all information for a single database fields
Single Database Interests (8)
Fetch single databases interests
Need fields you don't see?
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Available Attributes (296)
| Attribute |
|---|
ID ID |
collection_id Collection ID |
description Description |
intentions_email Intentions Email |
intentions_fax Intentions Fax |
intentions_pdf Intentions PDF |
intentions_sms Intentions SMS |
last_built Last Built |
name Name |
parent_id Parent ID |
parent_type Parent Type |
apicalls Apicalls |
emails Emails |
fax Fax |
litmustests Litmus Tests |
texts Texts |
twofiftyoktests Twofiftyok Tests |
webpages Webpages |
ID ID |
name name |
archived archived |
created created |
description description |
collections_ID Collections ID |
collections_displayed Collections Displayed |
collections_hidden Collections Hidden |
collections_index Collections Index |
collections_length Collections Length |
collections_name Collections Name |
collections_ordered Collections Ordered |
collections_textlines Collections Textlines |
collections_type Collections Type |
collections_value Collections Value |
ID ID |
name name |
archived archived |
created created |
description description |
Field_ID Field ID |
Field_displayed Field Displayed |
Field_hidden Field Hidden |
Field_index Field Index |
Field_length Field Length |
Field_name Field Name |
Field_ordered Field Ordered |
Field_textlines Field Textlines |
Field_type Field Type |
Field_value Field Value |
ID ID |
name name |
archived archived |
created created |
description description |
Interests_ID Interests ID |
Interests_name Interests Name |
Interests_group Interests Group |
ID ID |
database_ID Database ID |
description Description |
has_children Has Children |
has_referred Has Referred |
has_rules Has Rules |
intentions_email Intentions Email |
intentions_fax Intentions Fax |
intentions_pdf Intentions PDF |
intentions_sms Intentions SMS |
last_built Last Built |
name Name |
parent_id Parent ID |
parent_type Parent Type |
id ID |
company Company |
name Name |
description Description |
id Emailing ID |
destinations Destinations |
from_address_email sensitive From Address Email |
from_address_name sensitive From Address Name |
subject Subject |
target_sources_id Target Sources ID |
target_sources_type Target Source Type |
target_type Target Type |
template Template |
timestamp Timestamp |
type Type |
emailing_ID Emailing ID |
destinations Destinations |
abuses_total Abuses Total |
clicks_total Clicks Total |
clicks_unique Clicks Unique |
deliveries_total Deliveries Total |
errors_total Errors Total |
impressions_total Impressions Total |
impressions_unique Impressions Unique |
retries_total Retries Total |
unsubscribes_total Unsubscribes Total |
template_ID Template ID |
name Name |
subject Subject |
from_address_name sensitive From Address Name |
from_address_email sensitive From Address Email |
type Type |
ID Id |
destination Destination |
device Device |
ip sensitive Ip |
link Link |
mailing Mailing |
profile Profile |
subprofile Subprofile |
timestamp Timestamp |
useragent Useragent |
ID Id |
attempts Attempts |
destination Destination |
mailing Mailing |
profile Profile |
subprofile Subprofile |
timestamp Timestamp |
ID Id |
description Description |
destination Destination |
errorcode Errorcode |
errortype Errortype |
mailing Mailing |
profile Profile |
status Status |
subprofile Subprofile |
timestamp Timestamp |
ID Id |
destination Destination |
device Device |
ip sensitive Ip |
mailing Mailing |
profile Profile |
subprofile Subprofile |
timestamp Timestamp |
useragent Useragent |
abuser_ID Abuser ID |
timestamp Timestamp |
feedback_type Feedback Type |
recognized_as Recognized As |
arf_version ARF Version |
details Details |
emailing_id Emailing ID |
destination_ID Destination ID |
profile_id Profile ID |
subprofile_id Subprofile ID |
Click_ID Click_ID |
link_id Link_id |
link Link |
link_title Link_title |
timestamp Timestamp |
ip sensitive Ip |
useragent Useragent |
referer Referer |
emailing_id Emailing ID |
destination_id Destination ID |
profile_id Profile ID |
subprofile_id Subprofile ID |
delivery_ID Delivery ID |
timestamp Timestamp |
smtp-response SMTP Response |
attempt Attempt |
emailing_id Emailing ID |
destination_id Destination ID |
profile_id Profile ID |
subprofile_id Subprofile ID |
document_ID Document ID |
template Template |
name Name |
from_address sensitive From Address |
subject Subject |
archived Archived |
source Source |
emailing_ID Emailing ID |
timestamp Timestamp |
document_ID Document ID |
template_ID Template ID |
subject Subject |
from_address_name sensitive From Address Name |
from_address_email sensitive From Address Email |
destinations_ID Destinations ID |
testgroups TestGroups |
finalgroup_ID FinalGroups ID |
clicks Clicks |
abuses abuses |
unsubscribes unsubscribes |
impressions Impressions |
contenttype Content Type |
target_type Target Type |
sources_id Sources ID |
sources_type Sources Type |
emailing_ID Emailing Id |
document Document |
from_address sensitive From Address |
name Name |
subject Subject |
emailing_ID Emailing ID |
abuses_totals Abuses Totals |
abuses_unique Abuses Unique |
clicks_totals Clicks Totals |
clicks_unique Clicks Unique |
errors_totals Errors Totals |
errors_unique Errors Unique |
unknown_totals Unknown Totals |
unsubscribes_totals Unsubscribes Totals |
unsubscribes_unique Unsubscribes Unique |
ID Error ID |
timestamp Timestamp |
errorcode Errorcode |
description Description |
errortype Error Type |
errortypedescription Error Type Description |
emailing_id Emailing ID |
destination_ID Destination ID |
profile_id Profile ID |
subprofile_id Subprofile ID |
impression_ID Impression ID |
timestamp Timestamp |
ip sensitive Ip |
useragent Useragent |
device Device |
referer Referer |
emailing_id Emailing |
destination_id Destination |
profile_id Profile |
subprofile_id Subprofile |
scheduledemailing_ID Scheduled Emailing ID |
next next |
previous Previous |
interval_count Interval Count |
interval_unit Interval Unit |
iterations Iterations |
processed_iterations Processed Iterations |
scheduled_iterations Scheduled Iterations |
document_ID Document |
template_ID Template ID |
subject Subject |
from_address_name sensitive From Address Name |
from_address_email sensitive From Address Email |
testgroups TestGroups |
emailing_type Emailing Type |
contenttype Content Type |
target_type Target Type |
sources_id Sources ID |
sources_type Sources Type |
id Id |
name Name |
archived Archived |
Unsubscribe_ID Unsubscribe ID |
timestamp Timestamp |
source Source |
success Success |
emailing_id Emailing ID |
destination_ID Destination ID |
profile_id Profile ID |
subprofile_id Subprofile ID |
ID ID |
name name |
archived archived |
created created |
description description |
collections_ID Collections ID |
collections_displayed Collections Displayed |
collections_hidden Collections Hidden |
collections_index Collections Index |
collections_length Collections Length |
collections_name Collections Name |
collections_ordered Collections Ordered |
collections_textlines Collections Textlines |
collections_type Collections Type |
collections_value Collections Value |
ID ID |
name name |
archived archived |
created created |
description description |
Field_ID Field ID |
Field_displayed Field Displayed |
Field_hidden Field Hidden |
Field_index Field Index |
Field_length Field Length |
Field_name Field Name |
Field_ordered Field Ordered |
Field_textlines Field Textlines |
Field_type Field Type |
Field_value Field Value |
ID ID |
name name |
archived archived |
created created |
description description |
Interests_ID Interests ID |
Interests_name Interests Name |
Interests_group Interests Group |
Pricing
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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.
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.
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.
3
FTEs saved
on pipeline
maintenance
50+
man-hours
per week saved
on data collection
2.5
man-days
per week
saved
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Global Social Content and Marketing Data Analyst
Uber Eats
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Sat 7
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Director of IT & Infrastructure
Search Engine Journal
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CTO
ID&T Group
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CPO
FoodChéri & Seazon
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Technology Solutions Manager
Boldr
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Data Development Team Leader
Livesport
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Farm Focus
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