Data enrichment

Bulk Tasks

Automated processes that handle large-scale data operations simultaneously, such as finding, verifying, or enriching thousands of email addresses at once.

Tomba Team
January 22, 2026

Bulk Tasks refer to automated operations that process large volumes of data simultaneously, enabling businesses to scale their email intelligence and data enrichment efforts efficiently. Instead of handling records one at a time, bulk tasks allow you to process hundreds, thousands, or even millions of records in a single operation.

Types of Bulk Tasks

Bulk Email Finding

Upload a list of names and company domains to find multiple email addresses simultaneously:

  • Process entire prospect lists in minutes
  • Find emails for all employees at target companies
  • Build comprehensive contact databases

Bulk Email Verification

Validate large email lists to ensure deliverability:

Bulk Email Enrichment

Enhance contact records with additional information:

  • Add names, job titles, and company data
  • Update incomplete or outdated records
  • Build comprehensive contact profiles

Discover all email addresses associated with multiple domains:

  • Research entire industries or market segments
  • Build targeted prospect lists by company
  • Identify decision-makers across organizations

Benefits of Bulk Tasks

Time Efficiency

  • Process thousands of records in minutes instead of hours or days
  • Automate repetitive tasks to focus on strategic work
  • Reduce manual effort and human error

Cost Effectiveness

  • Lower per-unit costs through economies of scale
  • Reduce labor expenses through automation
  • Maximize ROI on data enrichment investments

Scalability

  • Handle growing data volumes without adding resources
  • Scale outreach efforts to match business growth
  • Process enterprise-level datasets efficiently

Data Quality

  • Maintain consistency across large datasets
  • Apply uniform validation rules to all records
  • Ensure data standardization throughout your database

How Bulk Tasks Work

  1. Data Preparation: Format your data according to requirements (CSV, Excel, etc.)
  2. Upload: Submit your data file through the platform interface or API
  3. Processing: The system processes all records simultaneously using parallel processing
  4. Monitoring: Track progress in real-time through the dashboard
  5. Download Results: Retrieve processed data with all enriched information

Use Cases

Sales Prospecting

  • Build comprehensive lists of decision-makers at target accounts
  • Verify and enrich CRM data before outreach campaigns
  • Research entire industries for new business opportunities

Marketing Campaigns

  • Clean and verify email lists before major campaigns
  • Enrich subscriber data for better segmentation
  • Update contact databases for personalization

Data Management

  • Regular database hygiene and maintenance
  • CRM data enrichment and updating
  • Duplicate detection and removal

Market Research

  • Analyze organizational structures across industries
  • Identify key personnel at competitor companies
  • Build comprehensive market intelligence databases

Best Practices

  1. Data Preparation: Clean and format data before upload for better results
  2. Start Small: Test with a smaller batch before processing entire datasets
  3. Schedule Appropriately: Run large bulk tasks during off-peak hours
  4. Monitor Progress: Check status regularly for large operations
  5. Validate Results: Review output data quality and accuracy
  6. Maintain Compliance: Ensure bulk operations comply with data privacy regulations

API Integration

For developers and advanced users, bulk tasks can be automated through API:

  • Schedule recurring bulk operations
  • Integrate with existing data workflows
  • Build custom processing pipelines
  • Automate data synchronization across systems

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