- 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
- Outreach
- Airtable
- Attio
- Okta
- 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
Outreach (Edge)
Outreach is a sales engagement platform that sales teams use to run email and call sequences, manage prospects and opportunities, and track their engagement with buyers.
Hevo uses the Outreach API to replicate the prospects, accounts, opportunities, sequences, mailings, calls, tasks, events, users, and other data of your Outreach organization to the Destination of your choice. Hevo connects to Outreach using OAuth 2.0. To ingest data, you must authorize Hevo to read the data of your Outreach organization.
Supported Features
| Feature Name | Supported |
|---|---|
| Capture deletes | Yes, except for the objects listed in Handling of Deletes |
| History mode | No |
| Custom data (user-configured tables & fields) | Yes, for the custom fields of the Account, Opportunity, Prospect, and Users objects |
| Data blocking (skip objects and fields) | Yes |
| Resync (objects and Pipelines) | Yes |
| API configurable | Yes |
Prerequisites
-
An active Outreach account exists from which data is to be ingested.
-
You can log in to Outreach as a user with the Admin profile, which can read the data of all the objects. Outreach returns only the data that the profile of the user who authorizes Hevo can access. Read Source Considerations.
Scopes Required by Hevo
When you authorize Hevo, Outreach asks you to grant the following read-only scopes. Hevo uses each scope to read the objects listed against it:
| Scope | Objects |
|---|---|
| accounts.read | Account and its child object |
| callDispositions.read | Call Disposition |
| callPurposes.read | Call Purpose |
| calls.read | Call and its child object |
| complianceRequests.read | Compliance Request |
| contentCategories.read | Content Category |
| contentCategoryMemberships.read | Content Category Membership |
| contentCategoryOwnerships.read | Content Category Ownership |
| duties.read | Duty |
| emailAddresses.read | Email Address |
| events.read | Event |
| favorites.read | Favorite |
| mailAliases.read | Mail Alias |
| mailboxes.read | Mailbox |
| mailings.read | Mailing and its child objects |
| opportunities.read | Opportunity and its child object |
| opportunityProspectRoles.read | Opportunity Prospect Role |
| opportunityStages.read | Opportunity Stage |
| personas.read | Persona |
| phoneNumbers.read | Phone Number |
| profiles.read | Profile |
| prospects.read | Prospect and its child objects |
| recipients.read | Recipient |
| roles.read | Role |
| rulesets.read | Ruleset |
| sequenceStates.read | Sequence State and its child objects |
| sequenceSteps.read | Sequence Step |
| sequenceTemplates.read | Sequence Template |
| sequences.read | Sequence and its child object |
| snippets.read | Snippet and its child object |
| stages.read | Stage |
| taskPriorities.read | Task Priority |
| tasks.read | Task |
| teams.read | Team |
| templates.read | Template and its child objects |
| users.read | Users and its child objects |
Configure Outreach as a Source in your Pipeline
Perform the following steps to configure your Outreach Source:
-
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 Outreach.
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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.

-
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, Outreach Source.
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In the Connect to Outreach section, click Authorize With Outreach, log in to your Outreach account if prompted, and allow Hevo to read your data with the requested scopes. Hevo displays the email address of your Outreach user as Account Added.
-
-
Click Test & Continue to test the connection to your Outreach Source. Once the test is successful, you can proceed to set up your Destination.
If the user who authorized Hevo is deactivated in Outreach or revokes the access granted to Hevo, Hevo cannot read your Outreach data, and the jobs of the Pipeline fail. To resume data replication, modify the Source configuration in the Pipeline and authorize Hevo again. Once the updated configuration is saved, Hevo re-authenticates the Source, and data ingestion resumes from the last saved position.
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 Prospect Tag object, you must also select the Prospect 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 Outreach organization. In the subsequent runs, as per the sync frequency, Hevo ingests data as follows:
| Ingestion | Objects |
|---|---|
| All the records, in each run | Compliance Request, Custom Field, Duty, Phone Number, Profile, Recipient, Role, Sequence Template, and Team |
| New and updated records, based on the time each record was last updated in Outreach | All the other parent objects, such as Account, Call, Event, Mailing, Opportunity, Prospect, Sequence, Sequence State, Task, Template, and Users |
Hevo ingests the child objects of a parent object along with it. When Hevo ingests a new or updated parent record, it replaces the child records of that parent in the Destination.
Outreach limits API requests per user, to 10,000 requests per hour. Read Rate Limiting. If Outreach returns a rate limit error, Hevo waits and retries the request. If a run stops because of a rate limit, Hevo resumes from the last saved position in the next run. To understand how Hevo handles such scenarios, read Handling Rate Limit Exceptions.
Pipelines with this Source support only the Merge load mode.
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 |
|---|---|
| Account | Contains the companies that your prospects belong to, with their name, domain, industry, owner, and custom fields. It includes a child object, Account Tag, which contains the tags of each account. |
| Call | Contains the calls logged in Outreach, with their direction, duration, outcome, disposition, purpose, and the prospect and opportunity of each call. It includes a child object, Call Tag, which contains the tags of each call. |
| Call Disposition | Contains the call dispositions defined in your Outreach organization, with their name and outcome. |
| Call Purpose | Contains the call purposes defined in your Outreach organization. |
| Compliance Request | Contains the compliance requests, such as requests to delete the data of a prospect, with their state and requester. |
| Content Category | Contains the content categories that group your templates, snippets, and sequences. |
| Content Category Membership | Contains the content that belongs to each content category. |
| Content Category Ownership | Contains the users and teams that own each content category. |
| Custom Field | Contains the custom fields defined in your Outreach organization, with the object and the label of each field. |
| Data Connection | Contains the links between Outreach records and the records of your connected CRM. |
| Duty | Contains the duties (job functions) that users can be assigned in Outreach. |
| Event | Contains the events that Outreach logs, such as emails opened and prospects updated, with the related prospect, mailing, call, and account. |
| Favorite | Contains the records that users have marked as favorites. |
| Mail Alias | Contains the email aliases of each mailbox. |
| Mailbox | Contains the mailboxes that users connect to Outreach to send email, with their email address and sync settings. |
| Mailing | Contains the emails sent or scheduled from Outreach, with their subject, state, delivery and engagement times, and the prospect, sequence, and mailbox of each email. It includes the following child objects: - Mailing Recipient - Mailing Reference |
| Opportunity | Contains the opportunities in Outreach, with their amount, stage, close date, owner, account, and custom fields. It includes a child object, Opportunity Tag, which contains the tags of each opportunity. |
| Opportunity Prospect Role | Contains the roles that prospects hold in opportunities. |
| Opportunity Stage | Contains the opportunity stages defined in your Outreach organization. |
| Persona | Contains the personas that you assign to prospects. |
| Phone Number | Contains the phone numbers of your prospects, with their type and status. |
| Profile | Contains the governance profiles that set what Outreach users can access. |
| Prospect | Contains the people that you engage in Outreach, with their contact details, stage, owner, account, engagement counts, and custom fields. It includes the following child objects: - Email Address - Prospect Email - Prospect Favorite - Prospect Home Phone - Prospect Mobile Phone - Prospect Other Phone - Prospect Tag - Prospect VoIP Phone - Prospect Work Phone |
| Recipient | Contains the recipients of emails sent from Outreach. |
| Role | Contains the roles in the hierarchy of your Outreach organization. |
| Ruleset | Contains the rulesets that control how sequences behave. |
| Sequence | Contains the sequences of your Outreach organization, with their type, state, owner, ruleset, and engagement counts. It includes a child object, Sequence Tag, which contains the tags of each sequence. |
| Sequence State | Contains the state of each prospect in a sequence, with the current step and the mailbox that sends the emails. It includes the following child objects: - Active Step Mailing - Active Step Task |
| Sequence Step | Contains the steps of each sequence, with their type, order, and interval. |
| Sequence Template | Contains the templates used by the steps of each sequence. |
| Snippet | Contains the reusable text snippets of your Outreach organization. It includes a child object, Snippet Tag, which contains the tags of each snippet. |
| Stage | Contains the prospect stages defined in your Outreach organization. |
| Task | Contains the tasks assigned to users, with their type, state, due date, priority, and the prospect, account, opportunity, and sequence of each task. |
| Task Priority | Contains the task priorities defined in your Outreach organization. |
| Team | Contains the teams of your Outreach organization. |
| Template | Contains the email templates of your Outreach organization, with their subject, owner, and engagement counts. It includes the following child objects: - Template BCC Recipient - Template CC Recipient - Template Tag - Template To Recipient |
| Users | Contains the users of your Outreach organization, with their email address, role, profile, and team. It includes the following child objects: - User Duty - User Email Recipients - User Team |
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:
-
For the objects whose records Hevo ingests in full in each run, Hevo compares the records fetched from Outreach with those in the Destination table. Records that are no longer returned by Outreach are marked as deleted in the Destination. If Outreach returns no records for an object in a run, Hevo does not mark any records of the object as deleted.
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For the Account, Call, Mailing, Opportunity, Prospect, Sequence, Sequence State, and Task objects, Hevo reads all the records of the object once a day, along with the incremental data, because Outreach does not report deleted records in its API. Records that are no longer returned by Outreach are marked as deleted in the Destination. As a result, a record deleted in Outreach can remain unmarked in the Destination for up to a day.
Hevo reads all the records of these objects once a day by default. Contact Hevo Support to change this interval for your Pipeline, to a value from 1 to 90 days.
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For the other objects that Hevo ingests incrementally, such as Event, Snippet, Template, and Users, and the lookup objects such as Persona and Stage, Hevo does not capture records that are deleted in Outreach. These records remain in the Destination. For the Snippet, Template, and Users objects, Hevo reads all the records once a day to rebuild their child objects, and marks the child records that are no longer returned by Outreach as deleted.
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For child objects, when Hevo ingests a new or updated parent record, it loads the current child records of that parent. The child records removed from the parent record in Outreach are marked as deleted in the Destination when Hevo reads all the records of the parent object, for example, when you resync the object.
Source Considerations
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Hevo ingests the custom fields of the Account, Opportunity, Prospect, and Users objects that are labeled in your Outreach organization or that contain data. Hevo adds a column for each such custom field. The Custom Field object lists the custom fields and their labels.
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If the profile of the user who authorized Hevo cannot access an object in Outreach, Hevo shows a permission warning and marks the object and its child objects as Inaccessible. The other objects continue to be ingested. To ingest the object, give the user access to it in Outreach, or authorize Hevo with a user who has the Admin profile, and then resync the object.
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If Outreach returns a field that is not part of the schema of an object, Hevo adds a text column for the field, with its name in snake case. For example, the field imapSSl is loaded into the column imap_ssl. Hevo adds up to 100 such columns to a table.
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Hevo creates a table in the Destination for each selected object, even if the object has no data in Outreach.
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. |