Integration Specifications
This article will help you learn about how Daasity replicates data from Retention Science, limitations to the data we can extract and where the data is stored in the Retention Science schema
Integration Overview
Retention Science is an A.I.-driven email and SMS e-commerce platform for email marketing automation. It applies a combination of detailed analytics, revenue reporting, visualizations and data mining tools to give merchants visibility from top-level reporting all the way down to individual prospect behaviors.
This document provides context on what kind of data is being gathered through this extractor, which endpoints that data is coming from, and how the extracted tables relate to each other.
Integration Availability
This integration is available for:
Enterprise
SFTP Server
The Daasity Retention Science extractor is built based on this Retention Science API Documentation. Daasity uses the SFTP Server to extract files and replicate data from Retention Science:
In order to connect to the SFTP server and extract data, please contact your Retention Science representative to obtain a username and password.
Entity Relationship Diagram (ERD)
Click here to view the ERD for the Daasity Retention Science integration illustrating the different tables and keys to join across tables.
Retention Science Schema
The Daasity Retention Science extractor creates these tables using the SFTP Server and replication methods listed. The data is mapped from SFTP files to the table based on the mapping logic outlined in each table.
Events
Endpoint: Events
Update Method: UPSERT
Table Name: [
retention_science.events
]
event::event_id
event_id
event::campaign_id
campaign_id
event::campaign_name
campaign_name
event::campaign_type
campaign_type
event::email_id
email_id
event::email
event::send_id
send_id
event::event_type
event_type
event::event_at
event_at
event::click_url
click_url
event::item_id
item_id
Daasity: source_id
__source_id
Daasity: account_id
_account_id
Daasity: MD5(event::event_id + event::click_url)
__sync_key
Daasity: timestamp when loaded into DB
__synced_at
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