What is the difference between event-based workflows and continuous workflows in snapAddy DataQuality Automation?
Event-based workflows are triggered by specific external events (such as receiving an email, submitting a web form, or scanning a business card), while continuous workflows automatically process all existing records in your CRM system on an ongoing basis without requiring a trigger event.
Two workflow types for different needs
snapAddy DataQuality offers two distinct workflow types to help you improve and ensure high data quality in your CRM system. Both are designed to enrich and update your contact data automatically, delivering significant benefits:
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Save time and accelerate your processes – Reduce the time from initial lead capture to CRM arrival and first contact, enabling faster sales and marketing outreach
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Reduce manual effort – Minimize time-consuming post-processing and data correction tasks
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Improve data quality – Ensure consistently high-quality data across all your target systems
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Automate error-prone manual processes – Replace slow, manual workflows with reliable automation
While both workflow types share these benefits, they serve different purposes:
Event-based workflows process data when triggered by external events - such as receiving an email, submitting a web form, or scanning a business card. They capture new incoming contact data, check for duplicates, and either create new records or update existing ones in your CRM. Learn more about Event-based workflows in our article:
→ How do event-based Workflows work in snapAddy?
Continuous workflows automatically maintain your entire CRM database by systematically processing all existing records on an ongoing basis, keeping your data up-to-date without requiring any trigger events. Learn more in our detailed article:
→ How do continuous workflows in snapAddy DataQuality Automation work?
Many organizations benefit from combining both workflow types: event-based workflows ensure new contacts are captured accurately and enriched immediately, while continuous workflows keep the existing database clean, complete, and current. This comprehensive approach helps you achieve and maintain exceptional data quality throughout your entire CRM system, from initial contact capture to ongoing database maintenance.
Comparison: When to use which workflow type
| Aspect | Event-based workflows | Continuous workflows |
|---|---|---|
| Trigger | External event (form, scan, etc.) | Automatic, no trigger needed |
| Data source | New incoming data | Existing CRM records |
| Processing frequency | On-demand when triggered | Continuous background processing |
| Primary purpose | Capture and process new contacts | Maintain and enrich existing data |
| CRM connection | Optional | Required |
| Best for | Lead generation, event capture | Data hygiene, database maintenance |
Controlling workflow output with suggestions
Both workflow types are designed for comprehensive automation and automatically process entities without manual intervention. However, when needed, snapAddy DataQuality offers the suggestions feature for selective quality control. You can configure workflows to require manual review for specific fields or data types where human oversight is valuable. This optional review process allows you to balance automation efficiency with targeted quality assurance for critical data points.
Learn more about managing workflow output: How do I check suggestions in DataQuality Automation?
Related articles
- How do event-based Workflows work in snapAddy?
- How do continuous workflows in snapAddy DataQuality Automation work?
- What is DataQuality Automation?
If you have more questions, feel free to contact our support under support@snapaddy.com or your Customer Success Manager