Top 25 Domo Connectors You Should Use – With Setup Tips & Pitfalls (Retail & E-Commerce Edition)
Modern retail and e-commerce brands rely on dozens of data sources-Shopify, Amazon, Meta Ads, Google Ads, POS systems, ERPs, CRMs, logistics platforms, and more. Without a unified BI platform, these data silos slow down decision-making, cause reporting delays, and create inconsistent KPIs across teams.
Domo solves this by offering hundreds of prebuilt connectors that pull data into a single, real-time analytics environment.
In this guide, we break down the 25 most important Domo connectors for retail and e-commerce, how to set them up, and the pitfalls you must avoid during integration.
Table of Contents
1. Sales & E-Commerce Connectors
These are foundational for understanding revenue, orders, conversion, and product performance.
1. Shopify
Ideal for D2C brands. Pull orders, customers, refunds, products, discounts.
Setup Tip: Enable incremental data pulls to avoid duplication.
Pitfall: Full historical fetches burn credits fast.
2. Magento / Adobe Commerce
Great for enterprise retail e-commerce.
Setup Tip: Map product IDs across channels for unified SKU analytics.
Pitfall: Variant-level mismatches if attributes differ.
3. Woo Commerce
For smaller to mid-sized stores running on WordPress.
Setup Tip: Use order timestamps for reliable refreshes.
Pitfall: Plugins can alter schema-watch for inconsistencies.
4. Amazon Seller Central / Vendor Central
Critical for marketplace analytics.
Setup Tip: Ingest business reports + settlement data for unified profit view.
Pitfall: Marketplace categories require manual normalization.
5. Big Commerce
For multi-store architecture campaigns.
Setup Tip: Sync product catalogs daily.
Pitfall: Discounts and promotions often require custom mapping.
2. Digital Marketing Connectors
Retailers depend heavily on paid ads and multi-channel marketing; these connectors are non-negotiable.
6. Google Ads
Track spend, CPC, ROAS, conversions.
Setup Tip: Always pull campaign + keyword level data.
Pitfall: Using only campaign-level data hides performance insights.
7. Meta Ads (Facebook & Instagram)
Vital for audience and ad performance.
Setup Tip: Map platform metrics to sales data for multi-touch attribution.
Pitfall: Attribution windows vary-standardize them.
8. Google Analytics 4 (GA4)
E-commerce behavior data for funnel performance.
Setup Tip: Align GA4 conversions with Shopify/Amazon actual orders.
Pitfall: GA4 sampling issues-validate numbers monthly.
9. TikTok Ads
Huge growth channel for retail brands.
Setup Tip: Use custom parameters to track conversion paths.
Pitfall: Reporting delays of up to 24 hours.
10. Klaviyo
Email/SMS automation insights.
Setup Tip: Pull campaign + flow metrics.
Pitfall: Skipping list segmentation leads to inflated KPIs.
3. CRM & Customer Insights Connectors
Understanding customer lifetime value, churn, and segmentation is crucial.
11. Salesforce
Best for enterprise retail CRM.
Setup Tip: Create a unified customer ID across Shopify, POS, CRM.
Pitfall: Duplicate leads cause inflated revenue metrics.
12. HubSpot
Popular for mid-sized e-commerce brands.
Setup Tip: Sync deals + lifecycle stages.
Pitfall: Contact property changes require schema checks.
13. Zendesk
Customer support ticket data.
Setup Tip: Combine ticket sentiment with order history.
Pitfall: Large ticket volumes slow daily refreshes.
14. Freshdesk
Support & service analytics.
Setup Tip: Track SLA breaches alongside order data.
Pitfall: Multi-brand support requires tagging logic.
4. ERP, Inventory & Supply Chain Connectors
Essential for retailers with warehouses, 3PLs, or multiple stores.
15. NetSuite
Most common mid-market retail ERP.
Setup Tip: Setup GL, inventory, orders, and procurement tables.
Pitfall: Location-level inventory often misaligned.
16. SAP
Used heavily in enterprise retail and fashion.
Setup Tip: Use batch jobs for large datasets.
Pitfall: Poorly mapped SKUs break inventory analytics.
17. Oracle ERP
Popular for multi-country retailers.
Setup Tip: Prioritize inventory, purchase orders, and financial modules.
Pitfall: Multi-entity scripts require governance.
18. Snowflake
For cloud data warehousing.
Setup Tip: Use federated queries to reduce duplication.
Pitfall: Uncontrolled queries increase credits drastically.
19. Big Query
Great for high-volume retail clickstream data.
Setup Tip: Use partitioned tables for speed.
Pitfall: Full scans are expensive and slow.
5. Logistics & Fulfilment Connectors
Retail profitability depends on fulfilment efficiency.
20. ShipBob
D2C warehouse partner.
Setup Tip: Pull order status + fulfilment KPIs.
Pitfall: Shipping exceptions require manual tagging.
21. ShipStation
Multi-carrier shipping hub.
Setup Tip: Combine with Shopify & Amazon for unified delivery dashboards.
Pitfall: Carrier codes require normalization.
22. UPS / FedEx / DHL
Track shipping performance and cost.
Setup Tip: Create weekly carrier scorecards.
Pitfall: API limits cause missed refreshes.
6. Payment & Finance Connectors
Critical for profit analysis.
23. Stripe
For online payments.
Setup Tip: Map Stripe fees to orders for net profit insights.
Pitfall: Refunds/chargebacks need special handling.
24. PayPal
Common for international commerce.
Setup Tip: Link PayPal payments with order IDs.
Pitfall: Missing identifiers cause mismatches.
25. Square
Useful for retail POS and popup stores.
Setup Tip: Sync POS data with e-commerce systems.
Pitfall: Variant-level item names may differ.
Setup Best Practices (Across All Connectors)
To avoid data integrity issues and out-of-control credit usage:
- Always start with incremental loads
- Clean identifiers before ingestion
- Avoid pulling unnecessary columns
- Document each connector’s purpose
- Assign owners for mission-critical connectors
- Use proper refresh schedules (hourly vs daily vs weekly)
- Optimize ETLs into reusable pipelines
- Use Domo’s data governance tools for transparency
Common Pitfalls Retailers Should Avoid
- Duplicate orders due to poorly set incremental refresh
- Misaligned SKUs across Shopify, Amazon, and ERP systems
- Large full-refresh jobs consuming excessive credits
- Complex ETL pipelines slowing dashboards
- Mismatched timezones affecting KPIs
- Inconsistent promotion or discount logic
- Poor connector governance leading to broken dashboards
Having a consultant oversee the initial setup solves 90% of these issues.
Final Verdict: Why Retailers Need the Right Connectors
Connectors determine the accuracy, speed, and reliability of your dashboards. With the right 25 connectors, retailers can achieve:
- Unified view of sales, marketing, and inventory
- Better forecasting and inventory planning
- Higher profitability through real-time insights
- Faster decision-making across stores and HQ
- Fully automated reporting instead of manual Excel work
If your business depends on omni-channel retail or e-commerce, your connector setup is the engine behind all BI insights.
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