- Introduction
-
Getting Started
- Creating an Account in Hevo
- Subscribing to Hevo via AWS Marketplace
- Subscribing to Hevo via Snowflake Marketplace
- Connection Options
- Familiarizing with the UI
- Creating your First Pipeline
- Data Loss Prevention and Recovery
- Upgrading Pipeline from Standard to Edge
-
Data Ingestion
- Types of Data Synchronization
- Ingestion Modes and Query Modes for Database Sources
- Ingestion and Loading Frequency
- Data Ingestion Statuses
- Deferred Data Ingestion
- Handling of Primary Keys
- Handling of Updates
- Handling of Deletes
- Hevo-generated Metadata
- Best Practices to Avoid Reaching Source API Rate Limits
-
Edge
- Data Ingestion
- Core Concepts
-
Pipelines
- Familiarizing with the Pipelines UI
- Creating an Edge Pipeline
- Working with Edge Pipelines
- Pipeline Job History
- Pipeline Overview
- Needs Attention
- Object and Schema Management
- Activity Log
-
Sources
- Connect AI
- PostgreSQL
- Oracle
- MySQL
- SQL Server
- Troubleshooting Database Sources
- CockroachDB
- MongoDB
- SharePoint
- Salesforce Bulk API V2
- Ordergroove
- BambooHR
- Stripe
- NetSuite SuiteAnalytics
- Shopify
- Slack
- ClickUp
- Monday.com
- Pipedrive
- Workable
- Fathom
- HubSpot
- Salesforce Marketing Cloud
- Google Analytics 4
- Google Ads
- Facebook Ads
- Microsoft Ads
- LinkedIn Ads
- Xero
- Instagram Business
- Amazon Selling Partner
- TikTok Ads
- StackAdapt
- Amazon Ads
- Pinterest Organic
- Zendesk Support
- Snapchat Ads
- TikTok Organic
- Google Search Console
- Klaviyo v2
- Braintree Payments
- Facebook Pages
- Tempo
- PayPal
- Auth0
- Pinterest Ads
- Apple Search Ads
- Permit.io
- Amplitude Analytics
- Customer.io
- Paddle
- Jira Cloud
- Fullstory
- GitHub
- WorkOS
- ActiveCampaign
- Campaign Monitor
- Infobip
- Mailgun Send
- Metaplane
- Notion
- Recharge
- sevdesk
- Statuspage
- Teamwork.com
- Workday RaaS
- Yotpo
- TikTok Shop Partner Center
- Linear
- Microsoft Dynamics 365 Business Central
- Checkout.com
- Pylon
- Increase
- Microsoft Teams
- Rollbar
- Toggl Track
- QuickBooks Online
- Zoho Desk
- Livestorm
- Attentive
- SendGrid
- Bitly
- Shortcut
- Buzzsprout
- Persona
- Mailjet
- Open Exchange Rates
- PagerDuty
- CircleCI
- SonarQube
- Chargebee
- Bing Webmaster Tools
- Rundeck
- Cal.com
- Mixpanel
- Matomo
- Walmart Marketplace
- Xray
- Reddit Ads
- Zoho Recruit
- Freshchat
- Zoho Books
- Marketo
- Outreach
- Airtable
- Attio
- Okta
- Zendesk Chat
- Naming Conventions for Source Data Entities
- Destinations
- Transformations
- Alerts
- Activate
- Custom Connectors
-
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
-
Transformations
-
Python Code-Based Transformations
- Supported Python Modules and Functions
-
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
-
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
-
Drag and Drop Transformations
- Special Keywords
-
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
-
Python Code-Based Transformations
-
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
- Changing the Data Type of a Destination Table Column
- 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
-
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?
- Why can't I see my Pipelines after logging in?
- Events Usage
-
Sources
- Free Sources
-
Databases and File Systems
- Data Warehouses
-
Databases
- Connecting to a Local Database
- Amazon DocumentDB
- Amazon DynamoDB
- Elasticsearch
-
MongoDB
- Generic MongoDB
- MongoDB Atlas
- Support for Multiple Data Types for the _id Field
- Example - Merge Collections Feature
-
Troubleshooting MongoDB
-
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
- Upgrading Pipelines with PostgreSQL Sources to Use the pgoutput Plugin
-
Troubleshooting PostgreSQL
-
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
- Can I track updates to existing records in PostgreSQL?
- How can I migrate a Pipeline created with one PostgreSQL Source variant to another variant?
- How can I prevent data loss when migrating or upgrading my PostgreSQL database?
- Why do FLOAT4 and FLOAT8 values in PostgreSQL show additional decimal places when loaded to BigQuery?
- Why is data not being ingested from PostgreSQL Source objects?
- Troubleshooting Database Sources
- Database Source FAQs
- 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 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
-
Data Warehouses
- Amazon Redshift
- Amazon Redshift Serverless
- Azure Synapse Analytics
- Databricks
-
Google BigQuery
- Clustering in BigQuery
- Partitioning in BigQuery
- Structure of Data in the Google BigQuery Data Warehouse
- Loading Data to a Google BigQuery Data Warehouse
- Near Real-time Data Loading using Streaming
- Modifying BigQuery Destinations to Use Service Account Authentication
- Troubleshooting Google BigQuery
- Google BigQuery FAQs
- Hevo Managed Google BigQuery
- Snowflake
- Troubleshooting Data Warehouse Destinations
-
Destination FAQs
- Can I change the primary key in my Destination table?
- 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-
2026 Releases
- Release 2.53 (August 24 – September 21, 2026)
- Release 2.52 (July 27 – August 24, 2026)
- Release 2.51 (Jun 29 – July 27 , 2026)
- Release 2.50 (Jun 01–29, 2026)
- Release 2.49 (May 04-Jun 01, 2026)
- Release 2.48 (Apr 06-May 04, 2026)
- Release 2.47 (Mar 09-Apr 06, 2026)
- Release 2.46 (Feb 09-Mar 09, 2026)
- Release 2.45 (Jan 12-Feb 09, 2026)
-
2025 Releases
- Release 2.44 (Dec 01, 2025-Jan 12, 2026)
- Release 2.43 (Nov 03-Dec 01, 2025)
- Release 2.42 (Oct 06-Nov 03, 2025)
- Release 2.41 (Sep 08-Oct 06, 2025)
- Release 2.40 (Aug 11-Sep 08, 2025)
- Release 2.39 (Jul 07-Aug 11, 2025)
- Release 2.38 (Jun 09-Jul 07, 2025)
- Release 2.37 (May 12-Jun 09, 2025)
- Release 2.36 (Apr 14-May 12, 2025)
- Release 2.35 (Mar 17-Apr 14, 2025)
- Release 2.34 (Feb 17-Mar 17, 2025)
- Release 2.33 (Jan 20-Feb 17, 2025)
-
2024 Releases
- Release 2.32 (Dec 16 2024-Jan 20, 2025)
- Release 2.31 (Nov 18-Dec 16, 2024)
- Release 2.30 (Oct 21-Nov 18, 2024)
- 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)
-
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
-
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)
-
2026 Releases
- Early Access New
Marketo (Edge)
On This Page
- Supported Features
- Prerequisites
- Create an API-only Role and User
- Create a LaunchPoint Custom Service
- Obtain the Client ID and Client Secret
- Obtain the REST API Endpoint and Identity
- Configure Marketo as a Source in your Pipeline
- Data Replication
- Schema and Primary Keys
- Data Model
- Handling of Deletes
- Source Considerations
- Revision History
Adobe Marketo Engage (Marketo) is a marketing automation platform that businesses use to capture and nurture leads, run multi-channel campaigns and programs, and measure the engagement of their leads across channels.
Hevo uses the Marketo REST API to replicate the leads, lead activities, programs, campaigns, lists, assets, and other marketing data of your Marketo instance to the Destination of your choice. Hevo connects to Marketo using the credentials of a LaunchPoint custom service that is linked to an API-only user. To ingest data, you must provide Hevo with the REST API Endpoint and REST API Identity of your Marketo instance, and the Client ID and Client Secret of the custom service.
Supported Features
| Feature Name | Supported |
|---|---|
| Capture deletes | Yes, for the objects that Hevo ingests in full in each run |
| History mode | No |
| Custom data (user-configured tables & fields) | Yes, the custom fields of the Lead object |
| Data blocking (skip objects and fields) | Yes |
| Resync (objects and Pipelines) | Yes |
| API configurable | Yes |
Prerequisites
-
An active Marketo instance exists from which data is to be ingested.
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You are assigned the Admin role in Marketo to create an API-only role and user and a LaunchPoint custom service.
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The Client ID and Client Secret of the custom service are available.
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The REST API Endpoint and REST API Identity of your Marketo instance are available.
Create an API-only Role and User
Hevo reads your Marketo data as an API-only user. The data that Hevo can read depends on the permissions of the role assigned to this user.
Perform the following steps to create an API-only role and user:
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Log in to your Marketo instance as an Admin user.
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In the Admin area, under Security, click Users & Roles. Click the Roles tab, and then click New Role.

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In the Create New Role dialog, specify a Role Name, for example, Hevo API Role. Under Permissions, expand Access API, select the following read-only permissions, and then click CREATE:
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Read-Only Activity
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Read-Only Activity Metadata
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Read-Only Assets
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Read-Only Company
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Read-Only Opportunity: Required only for the Opportunity, Opportunity Role, and Sales Person objects.
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Read-Only Person

-
-
Click the Users tab, and then click Create API Only User.

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In the Create New API Only User dialog, specify the Email, First Name, and Last Name of the user, select the role that you created, and then click CREATE API ONLY USER. The email address identifies the user in Marketo and does not need to be a working mailbox.

Create a LaunchPoint Custom Service
Hevo authenticates with Marketo using the Client ID and Client Secret of a custom service that you create in LaunchPoint. Read Authentication.
Perform the following steps to create a custom service:
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In the Admin area, under Integration, click LaunchPoint, and then click New > New Service.

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In the New Service dialog, specify the following, and then click CREATE:
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Display Name: A name for the service. For example, Hevo.
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Service: Select Custom.
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Description: A description of the service. For example, Hevo Marketo connector.
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API Only User: Select the API-only user that you created.

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Obtain the Client ID and Client Secret
Perform the following steps to obtain the Client ID and Client Secret of the custom service:
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In the Admin area, under Integration, click LaunchPoint, and then click View Details for the custom service that you created.

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In the Details dialog, copy the Client Id and Client Secret and save them securely like any other password.

The Client ID and Client Secret remain available in the Details dialog, so you can copy them again later.
If you delete the custom service or the API-only user, or remove the permissions of the API role, Hevo cannot read your Marketo data, and the jobs of the Pipeline fail. To resume data replication, modify the Source configuration in the Pipeline with valid credentials. Once the updated configuration is saved, Hevo re-authenticates the Source, and data ingestion resumes from the last saved position.
Obtain the REST API Endpoint and Identity
Perform the following steps to obtain the REST API Endpoint and REST API Identity of your Marketo instance:
-
In the Admin area, under Integration, click Web Services.
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In the REST API section, copy the Endpoint and Identity URLs. For example, https://123-ABC-456.mktorest.com/rest and https://123-ABC-456.mktorest.com/identity.

The Web Services page also shows the daily API request limit of your Marketo subscription in the API Call Information section.
Configure Marketo as a Source in your Pipeline
Perform the following steps to configure your Marketo Source:
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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 Marketo.
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On the Select Destination Type page, select the type of Destination you want to use.
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On the Select Pipeline Type page, click Edge, and then click Continue.

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In the Configure Source screen, specify the following:

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Source Name: A unique name for your Source, not exceeding 255 characters. For example, Marketo Source.
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In the Connect to Marketo section:
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REST API Endpoint: The REST API Endpoint of your Marketo instance. For example, https://123-ABC-456.mktorest.com/rest.
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REST API Identity: The REST API Identity of your Marketo instance. For example, https://123-ABC-456.mktorest.com/identity.
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Client ID: The Client ID of the LaunchPoint custom service.
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Client Secret: The Client Secret of the custom service.
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REST API Call Limit (Optional): The maximum number of Marketo REST API calls that Hevo can make in a day. Leave it blank if you do not want to limit the number of calls. Hevo recommends allowing at least 8,000 calls a day. Read API Request Limits.
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-
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Click Test & Continue to test the connection to your Marketo Source. Once the test is successful, you can proceed to set up your Destination.
When you click this button, Hevo checks that the Client ID and Client Secret are valid by obtaining an access token from the REST API Identity URL and reading the activity types of your Marketo instance.
Data Replication
Hevo replicates data for all the objects selected on the Configure Objects page during Pipeline creation. By default, all supported objects and their available fields are selected. However, you can modify this selection while creating or editing the Pipeline. To ingest a child object, you must also select its parent object. For example, to ingest the List Membership object, you must also select the List object. The Data Model lists the child objects of each parent object.
In the first run of the Pipeline, Hevo ingests all the data available for the selected objects in your Marketo instance. In the subsequent runs, as per the sync frequency, Hevo ingests data as follows:
| Ingestion | Objects |
|---|---|
| New and updated records, based on the time each record was created or last updated in Marketo | API Usage, Company, Deleted Program Membership, Email Template History, Lead, Lead Company, Lead Segment, Merged Lead, Opportunity Membership, and Program, and the activity objects |
| The opportunities and opportunity roles of the leads whose opportunity activities (Add to Opportunity, Remove from Opportunity, and Update Opportunity) were logged since the previous run, and the sales persons of these opportunities | Opportunity, Opportunity Role, and Sales Person |
| All the records, in each run | Activity Type, Campaign, File, Folder, Form, List, Segmentation, and Smart List, and their child objects |
Hevo ingests the child objects of a parent object along with it.
Hevo reads leads using the Marketo Bulk Lead Extract API. In the first run, Hevo exports the leads by the time they were created. In the subsequent runs, it exports the leads that were updated since the previous run. Hevo ingests all the fields of the Lead object that Marketo lists for your instance, including your custom lead fields.
Hevo reads each activity object using the time of the activity. In the first run, Hevo ingests all the activities that Marketo retains for your instance. Marketo deletes older activities as per its data retention policy, so Hevo cannot ingest activities older than the retention period. If you pause the Pipeline for longer than the retention period, the activities of that period are not ingested.
Pipelines with this Source support only the Merge load mode.
API Request Limits
Marketo allows 50,000 API calls per day for a subscription, 100 API calls per 20 seconds, and up to 10 concurrent API calls for an instance. The daily limit resets at 12:00 AM CST. Read Marketo REST API. These limits are shared by all the applications that use the Marketo API of your instance.
Hevo counts its API calls against the REST API Call Limit that you specify while configuring the Source, using the daily API usage that Marketo reports for the API-only user. If the limit is reached, Hevo stops ingesting the objects for the day and resumes from the last saved position after the Marketo day resets. If Marketo returns a rate limit error, Hevo waits and retries the request. To understand how Hevo handles such scenarios, read Handling Rate Limit Exceptions.
Schema and Primary Keys
Hevo uses the following schema to upload the records in the Destination. For a detailed view of the objects, fields, and relationships, click the ERD.
Data Model
The following is the list of tables (objects) that are created at the Destination when you run the Pipeline:
| Object | Description |
|---|---|
| Activity objects | Contain the activities logged for your leads, such as the lead ID, activity date, activity type, campaign, and the primary attribute of each activity. Hevo creates a table for each activity type, named activity_ followed by the activity type, for example, activity_open_email. The following activity objects are available: - Add to List - Add to Named Account - Add to Nurture - Add to Opportunity - Asks Questions in Webinar - Asset Downloads in Webinar - Call to Action Clicked in Webinar - Call Webhook - Change Data Value - Change Lead Partition - Change Nurture Cadence - Change Nurture Track - Change Program Member Data - Change Revenue Stage - Change Revenue Stage Manually - Change Score - Change Segment - Change Status in Progression - Click Email - Click Link - Click Predictive Content - Click RTP Call to Action - Click Sales Email - Delete Lead - Email Bounced - Email Bounced Soft - Email Delivered - Engaged with a Conversational Flow - Engaged with a Dialogue - Engaged with an Agent in Conversational Flow - Engaged with an Agent in Dialogue - Execute Callable Agent - Execute Campaign - Fill Out Form - Has Attended Event - Interacted with Document in Conversational Flow - Interacted with Document in Dialogue - Merge Leads - New Lead - Open Email - Open Sales Email - Push Lead to Marketo - Reached Conversational Flow Goal - Reached Dialogue Goal - Receive Sales Email - Received Forward to Friend Email - Remove from List - Remove from Named Account - Remove from Opportunity - Reply to Sales Email - Request Campaign - Responded to a Poll in Webinar - Responded to a Survey in Webinar - Sales Email Bounced - Scheduled Meeting in Conversational Flow - Scheduled Meeting in Dialogue - Send Alert - Send Email - Send Sales Email - Sent Forward to Friend Email - Unsubscribe Email - Update Opportunity - Visit Webpage |
| Activity Type | Contains the activity types available in your Marketo instance, with their name and description. It includes a child object, Activity Type Attribute, which contains the attributes of each activity type. |
| API Usage | Contains the number of API calls made each day by each API-only user of your Marketo instance. |
| Campaign | Contains the smart campaigns of your Marketo instance, with their type, status, qualification rules, and the program and workspace that they belong to. |
| Company | Contains the companies that your leads belong to, with their name and external company ID. |
| Deleted Program Membership | Contains the program memberships that were deleted, with the previous status and the time of deletion. |
| Email Template History | Contains the versions of your email assets, with their subject, sender, status, and the folder and program that they belong to. |
| File | Contains the files stored in your Marketo instance, such as images and documents, with their name, type, size, and URL. |
| Folder | Contains the folders of your Marketo instance, with their type, path, parent folder, and workspace. It includes a child object, Token, which contains the tokens (My Tokens) defined in each folder and program. |
| Form | Contains the forms of your Marketo instance, with their status, language, theme, and the program and folder that they belong to. |
| Lead | Contains the leads (persons) in your Marketo database, with their name, email address, company, source, and opt-out and suspension details. It includes a child object, Lead Describe, which contains the metadata of the lead fields of your Marketo instance. |
| Lead Company | Contains the mapping between your leads and their companies. |
| Lead Segment | Contains the segments that each lead belongs to, with the segmentation and the time of the last update. |
| List | Contains the static lists of your Marketo instance, with their description and the program and workspace that they belong to. It includes a child object, List Membership, which contains the leads that are members of each list. |
| Merged Lead | Contains the leads that were merged into another lead, with the time of the merge. |
| Opportunity | Contains the opportunities of your Marketo instance, with their name, type, stage, amount, expected revenue, close date, and fiscal period. |
| Opportunity Membership | Contains the opportunities that each lead is a member of, based on the Add to Opportunity and Remove from Opportunity activities. |
| Opportunity Role | Contains the roles that your leads hold in opportunities, with the opportunity, role, and whether the lead is the primary contact. |
| Program | Contains the programs of your Marketo instance, with their type, channel, status, start and end dates, and workspace. It includes the following child objects: - Program Membership - Program Cost - Program Tag - Program Tag Type |
| Sales Person | Contains the sales persons named in your opportunities, with their name, email address, title, and phone numbers. |
| Segmentation | Contains the segmentations of your Marketo instance, with their description, status, and workspace. It includes a child object, Segment, which contains the segments of each segmentation. |
| Smart List | Contains the smart lists of your Marketo instance, including the smart lists of your smart campaigns, with their description, folder, and the campaign or program that they belong to. |
Additional Information
Read the detailed Hevo documentation for the following related topics:
Handling of Deletes
Hevo marks a record as deleted by setting the value of the metadata column __hevo__marked_deleted to True. Hevo captures deletes as follows:
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For the objects whose records Hevo ingests in full in each run, Hevo compares the records fetched from Marketo with those in the Destination table. Records that are no longer returned by Marketo are marked as deleted in the Destination. The child objects of these objects are replaced in full in each run, so the records removed in Marketo are removed from the Destination table.
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For the Lead, Program, Company, and the activity objects, and the other objects that Hevo ingests incrementally, Hevo does not capture records that are deleted in Marketo. These records remain in the Destination. Deleted leads are recorded in the Delete Lead activity object, and deleted program memberships in the Deleted Program Membership object. A resync of these objects does not remove the deleted records. A resync with Drop and Load rebuilds the table from the data that Marketo returns, so the deleted records are removed. However, for the activity objects, this also removes the activities that Marketo no longer retains.
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For the Opportunity Membership object, when the latest activity of a lead for an opportunity is Remove from Opportunity, Hevo marks the membership as deleted.
Source Considerations
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Hevo does not ingest your Marketo custom objects and custom activities.
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Hevo reads companies through your leads, so the Company object contains only the companies that at least one lead belongs to.
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Hevo creates a table in the Destination only for the objects that have data. For example, if no leads in your instance have the Click Email activity, the activity_click_email table is not created.
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The Lead, Company, and Program Membership objects are exported using the Marketo Bulk Extract API, which has a daily export limit for your subscription, shown in the Bulk Export API Information section of the Web Services page. If the limit is reached, Hevo resumes the export in a later run.
Revision History
Refer to the following table for the list of key updates made to this page:
| Date | Release | Description of Change |
|---|---|---|
| Nov-12-2026 | 2.54 | New document. |