- Introduction
- Getting Started
- Creating an Account in Hevo
- Subscribing to Hevo via AWS Marketplace
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Connection Options
- Connecting Through SSH
- Connecting Through Reverse SSH Tunnel
- Connecting Through VPN
- Connecting Through Mongo PrivateLink
- Connecting Through AWS Transit Gateway
- Connecting Through AWS VPC Endpoint
- Connecting Through AWS VPC Peering
- Using Google Account Authentication
- How Hevo Authenticates Sources and Destinations using OAuth
- Reauthorizing an OAuth Account
- Familiarizing with the UI
- Creating your First Pipeline
- Data Loss Prevention and Recovery
- Data Ingestion
- Data Loading
- Loading Data in a Database Destination
- Loading Data to a Data Warehouse
- Optimizing Data Loading for a Destination Warehouse
- Deduplicating Data in a Data Warehouse Destination
- Manually Triggering the Loading of Events
- Scheduling Data Load for a Destination
- Loading Events in Batches
- Data Loading Statuses
- Data Spike Alerts
- Name Sanitization
- Table and Column Name Compression
- Parsing Nested JSON Fields in Events
- Pipelines
- Data Flow in a Pipeline
- Familiarizing with the Pipelines UI
- Working with Pipelines
- Managing Objects in Pipelines
- Pipeline Jobs
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Transformations
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Python Code-Based Transformations
- Supported Python Modules and Functions
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Transformation Methods in the Event Class
- Create an Event
- Retrieve the Event Name
- Rename an Event
- Retrieve the Properties of an Event
- Modify the Properties for an Event
- Fetch the Primary Keys of an Event
- Modify the Primary Keys of an Event
- Fetch the Data Type of a Field
- Check if the Field is a String
- Check if the Field is a Number
- Check if the Field is Boolean
- Check if the Field is a Date
- Check if the Field is a Time Value
- Check if the Field is a Timestamp
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TimeUtils
- Convert Date String to Required Format
- Convert Date to Required Format
- Convert Datetime String to Required Format
- Convert Epoch Time to a Date
- Convert Epoch Time to a Datetime
- Convert Epoch to Required Format
- Convert Epoch to a Time
- Get Time Difference
- Parse Date String to Date
- Parse Date String to Datetime Format
- Parse Date String to Time
- Utils
- Examples of Python Code-based Transformations
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Drag and Drop Transformations
- Special Keywords
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Transformation Blocks and Properties
- Add a Field
- Change Datetime Field Values
- Change Field Values
- Drop Events
- Drop Fields
- Find & Replace
- Flatten JSON
- Format Date to String
- Format Number to String
- Hash Fields
- If-Else
- Mask Fields
- Modify Text Casing
- Parse Date from String
- Parse JSON from String
- Parse Number from String
- Rename Events
- Rename Fields
- Round-off Decimal Fields
- Split Fields
- Examples of Drag and Drop Transformations
- Effect of Transformations on the Destination Table Structure
- Transformation Reference
- Transformation FAQs
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Python Code-Based Transformations
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Schema Mapper
- Using Schema Mapper
- Mapping Statuses
- Auto Mapping Event Types
- Manually Mapping Event Types
- Modifying Schema Mapping for Event Types
- Schema Mapper Actions
- Fixing Unmapped Fields
- Resolving Incompatible Schema Mappings
- Resizing String Columns in the Destination
- Schema Mapper Compatibility Table
- Limits on the Number of Destination Columns
- File Log
- Troubleshooting Failed Events in a Pipeline
- Mismatch in Events Count in Source and Destination
- Audit Tables
- Activity Log
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Pipeline FAQs
- Can multiple Sources connect to one Destination?
- What happens if I re-create a deleted Pipeline?
- Why is there a delay in my Pipeline?
- Can I change the Destination post-Pipeline creation?
- Why is my billable Events high with Delta Timestamp mode?
- Can I drop multiple Destination tables in a Pipeline at once?
- How does Run Now affect scheduled ingestion frequency?
- Will pausing some objects increase the ingestion speed?
- Can I see the historical load progress?
- Why is my Historical Load Progress still at 0%?
- Why is historical data not getting ingested?
- How do I set a field as a primary key?
- How do I ensure that records are loaded only once?
- Events Usage
- Sources
- Free Sources
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Databases and File Systems
- Data Warehouses
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Databases
- Connecting to a Local Database
- Amazon DocumentDB
- Amazon DynamoDB
- Elasticsearch
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MongoDB
- Generic MongoDB
- MongoDB Atlas
- Support for Multiple Data Types for the _id Field
- Example - Merge Collections Feature
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Troubleshooting MongoDB
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Errors During Pipeline Creation
- Error 1001 - Incorrect credentials
- Error 1005 - Connection timeout
- Error 1006 - Invalid database hostname
- Error 1007 - SSH connection failed
- Error 1008 - Database unreachable
- Error 1011 - Insufficient access
- Error 1028 - Primary/Master host needed for OpLog
- Error 1029 - Version not supported for Change Streams
- SSL 1009 - SSL Connection Failure
- Troubleshooting MongoDB Change Streams Connection
- Troubleshooting MongoDB OpLog Connection
-
Errors During Pipeline Creation
- SQL Server
-
MySQL
- Amazon Aurora MySQL
- Amazon RDS MySQL
- Azure MySQL
- Generic MySQL
- Google Cloud MySQL
- MariaDB MySQL
-
Troubleshooting MySQL
-
Errors During Pipeline Creation
- Error 1003 - Connection to host failed
- Error 1006 - Connection to host failed
- Error 1007 - SSH connection failed
- Error 1011 - Access denied
- Error 1012 - Replication access denied
- Error 1017 - Connection to host failed
- Error 1026 - Failed to connect to database
- Error 1027 - Unsupported BinLog format
- Failed to determine binlog filename/position
- Schema 'xyz' is not tracked via bin logs
- Errors Post-Pipeline Creation
-
Errors During Pipeline Creation
- MySQL FAQs
- Oracle
-
PostgreSQL
- Amazon Aurora PostgreSQL
- Amazon RDS PostgreSQL
- Azure PostgreSQL
- Generic PostgreSQL
- Google Cloud PostgreSQL
- Heroku PostgreSQL
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Troubleshooting PostgreSQL
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Errors during Pipeline creation
- Error 1003 - Authentication failure
- Error 1006 - Connection settings errors
- Error 1011 - Access role issue for logical replication
- Error 1012 - Access role issue for logical replication
- Error 1014 - Database does not exist
- Error 1017 - Connection settings errors
- Error 1023 - No pg_hba.conf entry
- Error 1024 - Number of requested standby connections
- Errors Post-Pipeline Creation
-
Errors during Pipeline creation
- PostgreSQL FAQs
- Troubleshooting Database Sources
- File Storage
- Engineering Analytics
- Finance & Accounting Analytics
-
Marketing Analytics
- ActiveCampaign
- AdRoll
- Amazon Ads
- Apple Search Ads
- AppsFlyer
- CleverTap
- Criteo
- Drip
- Facebook Ads
- Facebook Page Insights
- Firebase Analytics
- Freshsales
- Google Ads
- Google Analytics
- Google Analytics 4
- Google Analytics 360
- Google Play Console
- Google Search Console
- HubSpot
- Instagram Business
- Klaviyo v2
- Lemlist
- LinkedIn Ads
- Mailchimp
- Mailshake
- Marketo
- Microsoft Ads
- Onfleet
- Outbrain
- Pardot
- Pinterest Ads
- Pipedrive
- Recharge
- Segment
- SendGrid Webhook
- SendGrid
- Salesforce Marketing Cloud
- Snapchat Ads
- SurveyMonkey
- Taboola
- TikTok Ads
- Twitter Ads
- Typeform
- YouTube Analytics
- Product Analytics
- Sales & Support Analytics
- Source FAQs
- Destinations
- Familiarizing with the Destinations UI
- Cloud Storage-Based
- Databases
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Data Warehouses
- Amazon Redshift
- Amazon Redshift Serverless
- Azure Synapse Analytics
- Databricks
- Firebolt
- Google BigQuery
- Hevo Managed Google BigQuery
- Snowflake
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Destination FAQs
- Can I change the primary key in my Destination table?
- How do I change the data type of table columns?
- Can I change the Destination table name after creating the Pipeline?
- How can I change or delete the Destination table prefix?
- Why does my Destination have deleted Source records?
- How do I filter deleted Events from the Destination?
- Does a data load regenerate deleted Hevo metadata columns?
- How do I filter out specific fields before loading data?
- Transform
- Alerts
- Account Management
- Activate
- Glossary
Releases- Release 2.31.1 (Dec 16-23, 2024)
- Release 2.31 (Nov 18-Dec 16, 2024)
- Release 2.30 (Oct 21-Nov 18, 2024)
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2024 Releases
- Release 2.29 (Sep 30-Oct 22, 2024)
- Release 2.28 (Sep 02-30, 2024)
- Release 2.27 (Aug 05-Sep 02, 2024)
- Release 2.26 (Jul 08-Aug 05, 2024)
- Release 2.25 (Jun 10-Jul 08, 2024)
- Release 2.24 (May 06-Jun 10, 2024)
- Release 2.23 (Apr 08-May 06, 2024)
- Release 2.22 (Mar 11-Apr 08, 2024)
- Release 2.21 (Feb 12-Mar 11, 2024)
- Release 2.20 (Jan 15-Feb 12, 2024)
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2023 Releases
- Release 2.19 (Dec 04, 2023-Jan 15, 2024)
- Release Version 2.18
- Release Version 2.17
- Release Version 2.16 (with breaking changes)
- Release Version 2.15 (with breaking changes)
- Release Version 2.14
- Release Version 2.13
- Release Version 2.12
- Release Version 2.11
- Release Version 2.10
- Release Version 2.09
- Release Version 2.08
- Release Version 2.07
- Release Version 2.06
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2022 Releases
- Release Version 2.05
- Release Version 2.04
- Release Version 2.03
- Release Version 2.02
- Release Version 2.01
- Release Version 2.00
- Release Version 1.99
- Release Version 1.98
- Release Version 1.97
- Release Version 1.96
- Release Version 1.95
- Release Version 1.93 & 1.94
- Release Version 1.92
- Release Version 1.91
- Release Version 1.90
- Release Version 1.89
- Release Version 1.88
- Release Version 1.87
- Release Version 1.86
- Release Version 1.84 & 1.85
- Release Version 1.83
- Release Version 1.82
- Release Version 1.81
- Release Version 1.80 (Jan-24-2022)
- Release Version 1.79 (Jan-03-2022)
-
2021 Releases
- Release Version 1.78 (Dec-20-2021)
- Release Version 1.77 (Dec-06-2021)
- Release Version 1.76 (Nov-22-2021)
- Release Version 1.75 (Nov-09-2021)
- Release Version 1.74 (Oct-25-2021)
- Release Version 1.73 (Oct-04-2021)
- Release Version 1.72 (Sep-20-2021)
- Release Version 1.71 (Sep-09-2021)
- Release Version 1.70 (Aug-23-2021)
- Release Version 1.69 (Aug-09-2021)
- Release Version 1.68 (Jul-26-2021)
- Release Version 1.67 (Jul-12-2021)
- Release Version 1.66 (Jun-28-2021)
- Release Version 1.65 (Jun-14-2021)
- Release Version 1.64 (Jun-01-2021)
- Release Version 1.63 (May-19-2021)
- Release Version 1.62 (May-05-2021)
- Release Version 1.61 (Apr-20-2021)
- Release Version 1.60 (Apr-06-2021)
- Release Version 1.59 (Mar-23-2021)
- Release Version 1.58 (Mar-09-2021)
- Release Version 1.57 (Feb-22-2021)
- Release Version 1.56 (Feb-09-2021)
- Release Version 1.55 (Jan-25-2021)
- Release Version 1.54 (Jan-12-2021)
-
2020 Releases
- Release Version 1.53 (Dec-22-2020)
- Release Version 1.52 (Dec-03-2020)
- Release Version 1.51 (Nov-10-2020)
- Release Version 1.50 (Oct-19-2020)
- Release Version 1.49 (Sep-28-2020)
- Release Version 1.48 (Sep-01-2020)
- Release Version 1.47 (Aug-06-2020)
- Release Version 1.46 (Jul-21-2020)
- Release Version 1.45 (Jul-02-2020)
- Release Version 1.44 (Jun-11-2020)
- Release Version 1.43 (May-15-2020)
- Release Version 1.42 (Apr-30-2020)
- Release Version 1.41 (Apr-2020)
- Release Version 1.40 (Mar-2020)
- Release Version 1.39 (Feb-2020)
- Release Version 1.38 (Jan-2020)
- Early Access New
- Upcoming Features
Salesforce Marketing Cloud
Salesforce Marketing Cloud is a marketing automation platform that enables you to create and manage marketing relationships.
SFMC uses the concept of tenants and subdomains to host the data for your projects.
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Tenant: Depending on the tenant type, a tenant can represent the top-level enterprise account, core account, top-level agency account, or your client account.
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Subdomain: A subdomain is created within your main domain based on the tenant type. This subdomain is then added to the Application Programming Interface (API) which creates the tenant-specific endpoints. Hevo uses these endpoints to query the data.
To enable Hevo to access data from your Salesforce Marketing Cloud environment, you need to provide the Client ID and the Client Secret to Hevo.
Prerequisites
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An active Salesforce Marketing Cloud instance from which data is to be ingested exists.
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The client ID and secret are created in Salesforce Marketing Cloud.
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You are assigned the Team Administrator, Team Collaborator, or Pipeline Administrator role in Hevo to create the Pipeline.
Creating the Client ID and Client Secret
Salesforce Marketing Cloud uses the concept of a package to create API integrations, install custom apps, or add custom components. You need to create an API Integration package to generate the Client ID and the Client Secret to allow Hevo to read your Salesforce Marketing Cloud data. To do this:
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Log in to your Marketing Cloud Instance.
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In the top right, click the drop-down next to your username, and then click Setup.
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In the left navigation pane, under Platform Tools, click the Apps drop-down and then click Installed Packages.
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On the Installed Packages page, click New.
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In the New Package Details window, specify the following:
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Name: A unique name for the package.
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Description: A brief description of the package.
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Click Save.
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In the Components section, click Add Component.
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In the Add Component window, select API integration as the component type, and then, click Next.
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Select Server-to-Server as the integration type and click Next.
Note: A Server-to-Server integration allows server interaction without user involvement.
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Select the Read check box to grant
read-only
permission for the following objects:Email, OTT, Push, SMS, Social, Web, Documents and Images, Saved Content, Journeys, and List and Subscribers.
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Click Save.
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In the Components, API Integrations section, copy the Client Id and Client Secret and save them securely like any other password.
You can use these credentials while configuring your Hevo Pipeline.
Locating the Subdomain
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In the Components, API Integrations section, under Authentication Base URI, copy the subdomain URI and save it securely like any other password. Use this URI while configuring your Hevo Pipeline.
Configuring Salesforce Marketing Cloud as a Source
Perform the following steps to configure Salesforce Marketing Cloud as a Source in your Pipeline:
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Click PIPELINES in the Navigation Bar.
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Click + CREATE PIPELINE in the Pipelines List View.
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On the Select Source Type page, select Salesforce Marketing Cloud.
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On the Configure your Salesforce Marketing Cloud Source page, specify the following:
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Pipeline Name: A unique name for your Pipeline.
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Client ID: The API token created in Salesforce Marketing Cloud to enable Hevo to read data from your account.
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Client Secret: The API Secret Key for your API token.
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Sub Domain: A domain name within your main domain based on the tenant type. It is a 28 character string that begins with
mc
. Read Locating the Subdomain -
Historical Sync Duration: The duration for which you want to ingest the existing data from the Source. Default duration: All Available Data.
Note: If you select All Available Data, Hevo ingests all the data available in your Salesforce Marketing Cloud account since January 01, 2013.
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Click TEST & CONTINUE.
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Proceed to configuring the data ingestion and setting up the Destination.
Data Replication
For Teams Created | Default Ingestion Frequency | Minimum Ingestion Frequency | Maximum Ingestion Frequency | Custom Frequency Range (in Hrs) |
---|---|---|---|---|
Before Release 2.21 | 3 Hrs | 3 Hrs | 24 Hrs | 3-24 |
After Release 2.21 | 6 Hrs | 30 Mins | 24 Hrs | 1-24 |
Note: The custom frequency must be set in hours as an integer value. For example, 1, 2, or 3 but not 1.5 or 1.75.
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Historical Data: The first run of the Pipeline ingests historical data for the selected objects on the basis of the historical sync duration specified at the time of creating the Pipeline and loads it to the Destination. Default duration: All Available Data.
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Incremental Data: Once the historical load is complete, new and updated records for all objects except Campaign, Campaign Asset, Journey, Activity, Email, and Outcome are ingested as per the ingestion frequency.
Schema and Primary Keys
Hevo uses the following schema to upload the records in the Destination:
Data Model
Hevo uses the following data model to ingest data from your Salesforce Marketing Cloud account:
Object | Description |
---|---|
activity | An activity can be a message, a decision, an update, or a combination of these elements that makes a journey. Read journey object below. |
campaign | Contains information about a campaign. |
campaign_asset | Contains the list of assets associated with a campaign. |
Contains the content of the email sent to the subscriber(s). | |
event(sent), event(bounce), event(open), event(click) | Contains information about an event when an email is sent, bounced, opened, or clicked. |
journey | Contains the customer lifecycle interaction events. A journey has a goal and an exit which enables you to estimate the efficiency of your campaigns. |
link | Contains the link attached in the email sent to the subscriber(s). |
link_send | Contains details about the link attached in the email sent. |
list | Contains the list of subscribers. |
list_subscriber | Contains the subscribers for a list or the lists for a subscriber. A subscriber can belong to multiple lists and vice versa. |
outcome | Contains information about the outcome of an activity. |
send | Contains information about the time you send an email or an SMS to the subscriber(s). |
subscriber | Contains information about the person who has subscribed to an email. |
triggered_send | Contains information about the first time an event is triggered. |
Additional Information
Read the detailed Hevo documentation for the following related topics:
Source Considerations
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The earliest date from which the data is fetched is 1st Jan, 2013.
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By default, all available historical data is synchronized.
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In Salesforce Marketing Cloud, whenever an object changes, its ModifiedDate timestamp field gets updated. Hevo uses this field to identify Events for incremental ingestion. However, the UniqueClicks and UniqueOpens fields in the Send object do not trigger an update to the ModifiedDate, even when their values change. As a result, this object is not picked up during the incremental load, leading to a data mismatch.
As a workaround, you can use the OpenEvent and ClickEvent objects to retrieve the data for UniqueOpens and UniqueClicks based on the ModifiedDate. This is done using the SendID field which acts as a unique identifier for a specific event in the Send object, for example 12345.
To retrieve the count of UniqueOpens for the SendID 12345, query the OpenEvent object:
SELECT COUNT(DISTINCT subscriber_key) FROM open_event WHERE send_id = '12345'
Similarly, to retrieve the count of UniqueClicks for the same SendID, query the ClickEvent object:
SELECT COUNT(DISTINCT subscriber_key) FROM click_event WHERE send_id = '12345'
Limitations
- Hevo currently supports limited Salesforce Marketing Cloud objects. To view the total list of objects available in Salesforce Marketing Cloud, see this.
Revision History
Refer to the following table for the list of key updates made to this page:
Date | Release | Description of Change |
---|---|---|
Dec-23-2024 | NA | Updated the Source Considerations section to specify behavior of Send object. |
Mar-05-2024 | 2.21 | Updated the ingestion frequency table in the Data Replication section. |
Feb-20-2023 | NA | Updated section, Configuring Salesforce Marketing Cloud as a Source to update the information about historical sync duration. |
Dec-07-2022 | NA | Updated section, Data Replication to reorganize the content for better understanding and coherence. |
Oct-25-2021 | NA | Added the Pipeline frequency information in the Data Replication section. |
Jul-26-2021 | NA | Added a note in the Overview section about Hevo providing a fully-managed Google BigQuery Destination for Pipelines created with this Source. |
Feb-22-2021 | NA | Updated the Limitations section to specify support for limited SFMC objects. |