Domo connector
Connect Domo to Your Entire Data Stack with tray.ai
Automate data pipelines, sync business intelligence across tools, and build AI-powered workflows that keep your Domo dashboards accurate and actionable.
What can you do with the Domo connector?
Domo is a cloud-based business intelligence platform that centralizes data from hundreds of sources into interactive dashboards and reports. When you connect Domo to your CRM, marketing tools, data warehouses, and operational systems, your executives and analysts always have fresh, reliable data — no manual exports, no one-off uploads. With tray.ai, you can automate the full lifecycle of data flowing into and out of Domo: triggering workflows from Domo alerts, pushing transformed data into DataSets, and keeping cross-platform metrics in sync.
Automate & integrate Domo
Automating Domo business process or integrating Domo data is made easy with tray.ai
Use case
Automated DataSet Refresh from Operational Systems
Keeping Domo DataSets current often means manually exporting CSVs from Salesforce, HubSpot, or your database and uploading them on a schedule. With tray.ai, you can build pipelines that automatically pull records from source systems, transform and normalize the data, and upsert it directly into Domo DataSets via the API on any cadence you define.
Use case
Domo Alert-Triggered Operational Workflows
Domo's alerting system can detect when KPIs breach thresholds — revenue dips, churn spikes, or inventory shortfalls — but acting on those alerts typically requires manual intervention. tray.ai lets you wire Domo alerts directly to downstream actions: creating Jira tickets, sending Slack notifications with context, updating Salesforce records, or kicking off approval workflows in real time.
Use case
Cross-Platform KPI Synchronization
Marketing, sales, finance, and operations teams often track overlapping metrics in separate tools — Salesforce for pipeline, Marketo for leads, NetSuite for revenue. tray.ai can aggregate these metrics, calculate unified KPIs, and push consolidated figures into Domo DataSets so leadership works from a single source of truth rather than reconciling spreadsheets.
Use case
Customer Success and Churn Risk Reporting
Customer success teams need Domo dashboards that reflect real-time product usage, support ticket volume, and NPS scores alongside CRM data. tray.ai can pull data from tools like Gainsight, Zendesk, and Mixpanel, merge it with Salesforce account data, and keep the resulting Domo DataSets updated automatically so CSMs can spot at-risk accounts before they churn.
Use case
Marketing Performance Data Pipeline
Aggregating paid media spend, email engagement, and web analytics into Domo means connecting to Google Ads, Facebook Ads, Marketo, and Google Analytics at the same time. tray.ai handles authentication, pagination, and data normalization across all these APIs and delivers clean, structured records into Domo DataSets on a daily or hourly schedule.
Use case
Financial Reporting Automation
Finance teams often spend hours each month pulling data from NetSuite, QuickBooks, or Stripe into Domo for budget vs. actuals analysis. tray.ai can automate these extractions on a defined schedule, apply business logic transformations like currency conversion or cost allocation, and load structured financial data into Domo so reports are ready before leadership asks.
Use case
AI Agent-Driven Data Quality Monitoring
Data quality issues in Domo — duplicates, nulls, schema drift — often go unnoticed until they corrupt dashboards. With tray.ai's AI capabilities, you can build agents that periodically query Domo DataSets, run validation checks, flag anomalies, and automatically route issues to data engineering teams or attempt self-healing fixes like deduplication or default-value backfills.
Build Domo Agents
Give agents secure and governed access to Domo through Agent Builder and Agent Gateway for MCP.
Data Source
Query Dataset Records
An agent can retrieve rows and fields from Domo datasets to use as context for analysis or decision-making. This lets responses stay grounded in up-to-date business data stored in Domo.
Data Source
Fetch Dashboard Metrics
An agent can pull KPI summaries and metric values from Domo dashboards to monitor business performance. Useful for generating automated reports or answering questions about current business health.
Data Source
Retrieve Card Visualizations
An agent can look up specific Domo cards, including their data and configuration, to understand what visualizations exist and what they represent. This helps the agent make sense of data trends when responding to stakeholder inquiries.
Data Source
List Available Datasets
An agent can enumerate all datasets within a Domo instance to discover what data sources are available for analysis. This lets the agent route data requests to the right dataset without guessing.
Data Source
Look Up User and Group Details
An agent can fetch information about Domo users and groups, including roles and permissions. This supports access management workflows and helps the agent understand how the org is structured.
Agent Tool
Create or Update Dataset Records
An agent can push new data or update existing rows within a Domo dataset, keeping business data current from external sources or triggered events. Good for syncing CRM, support, or operational data into Domo for unified reporting.
Agent Tool
Create New Dataset
An agent can programmatically create a new dataset in Domo with a defined schema, enabling dynamic data collection pipelines. Handy when an agent needs to store results from an automated process or external API call.
Agent Tool
Trigger DataFlow Execution
An agent can kick off a Domo DataFlow run to process and transform data on demand. This lets the agent refresh derived datasets as part of a broader automated workflow.
Agent Tool
Manage Pages and Cards
An agent can create, update, or reorganize Domo pages and cards to keep dashboards in sync with current reporting needs. Automated dashboard provisioning becomes practical when new projects or teams come on board.
Agent Tool
Invite and Manage Users
An agent can add new users, update roles, or deactivate accounts within Domo as part of an onboarding or offboarding workflow. This cuts down on manual administration and keeps access permissions in sync with HR or directory systems.
Agent Tool
Export Dataset to External Systems
An agent can extract dataset contents from Domo and send them to downstream tools like data warehouses, spreadsheets, or reporting platforms. Useful for cross-platform data distribution triggered by business events.
Data Source
Monitor Dataset Freshness
An agent can check the last-updated timestamps of datasets to detect stale data and alert stakeholders before it becomes a problem. Data quality issues get caught before they affect business decisions.
Get started with our Domo connector today
If you would like to get started with the tray.ai Domo connector today then speak to one of our team.
Domo Challenges
What challenges are there when working with Domo and how will using Tray.ai help?
Challenge
Managing Domo API Rate Limits During Large Data Loads
Domo's API enforces rate limits on DataSet operations, and bulk data loads from high-volume sources like a data warehouse or enterprise CRM can easily hit those limits, causing failed syncs and incomplete dashboards.
How Tray.ai Can Help:
tray.ai's workflow engine includes built-in rate limit handling, automatic request throttling, and retry logic with exponential backoff. You can chunk large payloads into batches sized to stay within Domo's API constraints and queue retries without writing custom code or stepping in manually.
Challenge
Authenticating and Maintaining Domo OAuth Credentials at Scale
Domo uses OAuth 2.0 client credentials for API access, and teams managing multiple Domo instances or rotating credentials frequently find that expired tokens silently break data pipelines until someone notices a stale dashboard.
How Tray.ai Can Help:
tray.ai stores and automatically refreshes Domo OAuth tokens, and surfaces authentication failures as actionable alerts rather than silent pipeline breaks. You can manage credentials for multiple Domo environments from a single interface without hardcoding secrets anywhere.
Challenge
Transforming Inconsistent Data Before Loading to Domo
Source systems rarely export data in the exact schema Domo DataSets expect. Field names differ, date formats vary, and null handling is inconsistent. Without a transformation layer, raw data loads create dirty DataSets that produce misleading visualizations.
How Tray.ai Can Help:
tray.ai has a visual data mapper and built-in transformation functions — string manipulation, date parsing, type casting, conditional logic, and lookup tables — so you can clean and reshape data before it reaches Domo. No separate ETL tool or dbt model required for straightforward transformations.
Challenge
Orchestrating Multi-Step Pipelines That Depend on Domo DataSet Readiness
Many reporting workflows require a Domo DataSet to be fully refreshed before a downstream job runs — triggering a card export after a load completes, for example, or notifying stakeholders only once fresh data is confirmed. Coordinating these dependencies manually leads to race conditions and premature notifications.
How Tray.ai Can Help:
tray.ai supports conditional branching, polling loops, and event-driven triggers so you can build pipelines that wait for a Domo DataSet import job to reach a completed status before moving to downstream steps. Race conditions go away, and stakeholder notifications are based on verified, fresh data.
Challenge
Bidirectional Data Flow Between Domo and Operational Systems
Most teams start by pushing data into Domo for visualization, but mature use cases require writing insights back out — propagating scores from Domo models to a CRM, exporting filtered DataSet rows to a data warehouse, or syncing Domo-generated forecasts to planning tools. Without an integration platform, bidirectional flows mean significant custom API work.
How Tray.ai Can Help:
tray.ai treats Domo as both a source and a destination within the same workflow, so bidirectional data flows don't require separate pipelines. You can read from Domo DataSets using the Data API, apply business logic, and write results to any downstream system — all within a single automated workflow that runs without engineering involvement.
Talk to our team to learn how to connect Domo with your stack
Find the tray.ai connector with one of the 700+ other connectors in the tray.ai connector library to integrate your stack.
Integrate Domo With Your Stack
The Tray.ai connector library can help you integrate Domo with the rest of your stack. See what Tray.ai can help you integrate Domo with.
+Salesforce & Domo
Learn how to integrate Salesforce and Domo together
+Google BigQuery & Domo
Learn how to integrate Google BigQuery and Domo together
+Snowflake & Domo
Learn how to integrate Snowflake and Domo together
+Slack & Domo
Learn how to integrate Slack and Domo together
Start using our pre-built Domo templates today
Start from scratch or use one of our pre-built Domo templates to quickly solve your most common use cases.
Template
Salesforce Opportunities to Domo DataSet Sync
Automatically syncs Salesforce opportunity records — including stage, amount, close date, and owner — into a Domo DataSet on an hourly schedule, so pipeline and forecast dashboards stay accurate without manual exports.
Steps:
- Query Salesforce for opportunities modified in the last hour using SOQL
- Transform and map Salesforce field names to Domo DataSet schema
- Upsert records into the target Domo DataSet via the Streams API
Connectors Used: Salesforce, Domo
Template
Domo Alert to Slack and Jira Incident Workflow
Listens for Domo metric alerts, formats a Slack message with the KPI context and dashboard link, and simultaneously creates a Jira issue assigned to the responsible team for investigation and resolution tracking.
Steps:
- Receive Domo alert webhook payload containing metric name, threshold, and current value
- Post a formatted Slack message to the relevant team channel with dashboard deep link
- Create a Jira issue with alert details, priority mapping, and assignee based on metric category
Connectors Used: Domo, Slack, Jira
Template
Google Ads and Facebook Ads Daily Spend Rollup to Domo
Pulls previous-day campaign spend and performance metrics from both Google Ads and Facebook Ads each morning, merges them into a unified schema, and loads the combined record set into a Domo DataSet for blended paid media reporting.
Steps:
- Fetch yesterday's campaign performance data from Google Ads API and Facebook Marketing API
- Normalize field names, currency values, and metric definitions across both platforms
- Append the merged daily records to the Domo paid media DataSet
Connectors Used: Google Ads, Facebook, Domo
Template
Zendesk Ticket Volume and CSAT to Domo Customer Health Dashboard
Extracts weekly Zendesk ticket counts, resolution times, and CSAT scores by account, joins them with Salesforce account data, and pushes the combined dataset into Domo to power customer health and support performance dashboards.
Steps:
- Query Zendesk for tickets resolved in the past week, grouped by organization
- Enrich ticket data with account tier and CSM owner from Salesforce
- Load the combined support metrics into the Domo customer health DataSet
Connectors Used: Zendesk, Salesforce, Domo
Template
NetSuite Revenue Data to Domo Financial Dashboard
Runs on a nightly schedule to extract invoiced revenue, deferred revenue, and expense data from NetSuite, applies currency normalization and cost-center mapping, then loads structured financials into Domo for CFO-level reporting.
Steps:
- Run a NetSuite saved search to retrieve invoices and journal entries posted that day
- Apply transformation logic for currency conversion and cost-center categorization
- Upsert financial records into the Domo revenue DataSet and trigger a refresh notification
Connectors Used: NetSuite, Domo
Template
New Domo DataSet Row to HubSpot Contact Property Update
Monitors a Domo DataSet for new or updated customer score rows generated by an internal model, then writes those scores back to matching HubSpot contact properties so sales and marketing teams can act on propensity data directly within their CRM.
Steps:
- Poll the Domo DataSet for rows added or modified since the last run
- Match each row to a HubSpot contact by email address
- Update the contact's custom score property and enrollment timestamp in HubSpot
Connectors Used: Domo, HubSpot