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Writing Effective Queries

Be Specific About What You Need ✅ Good: “Find CTOs at fintech companies in San Francisco with 50-200 employees” ❌ Avoid: “Find tech people in us” Combine Multiple Criteria ✅ Good: “Sales directors at SaaS companies that raised funding in the last 90 days and use Salesforce” ❌ Avoid: Making separate searches that could be combined Use Natural Language ✅ Good: “Companies that recently expanded their engineering teams” ❌ Avoid: Trying to write filter syntax manually

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Understanding Entity Types

Vibe Prospecting works with two entity types: Choose “Prospects” when you need:
  • Individual people/contacts
  • Email addresses or phone numbers
  • Specific job titles or roles
  • Decision-makers at companies
Choose “Businesses” when you need:
  • Company information only
  • Firmographics or technographics
  • Market research data
  • Lists of organizations
The AI automatically determines entity type, but mentioning “people,” “contacts,” or “executives” will ensure prospect results.

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Optimizing Credit Usage

1. Use statistics Before running expensive prospect searches:
This helps validate your target market before commiting to a full list creation. 2. Review samples before exporting Always check the sample preview to ensure:
  • Results match your expectations
  • Data quality meets your needs
  • Cost is acceptable for your budget
3. Use exclusion lists Prevent duplicate spending:
4. Be precise with enrichments Only request enrichments you’ll actually use:
vs.

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Handling Large Datasets

For queries returning 1,000+ results: The system caps at 1,000 results per query. To get more:
Split by geography, industry subcategory, or company size.

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Working with Enrichments

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When to Enrich

Enrichments add detailed information but consume additional credits. Request them when:
  1. You need contact information: Always enrich with contacts for emails/phones
  2. You need company details: Usefirmographicsfor basic company info
  3. You need technology insights: Usetechnographics for full tech stack
  4. You need funding data: Usefunding-and-acquisitions for investment history

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Enrichment Examples

Getting Email Addresses
AI automatically enrich with contacts Getting Company Technology Stack
AI automatically applies technographics Multiple Enrichments
AI applies both contacts and funding-and-acquisitions

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Understanding Costs

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Credit System

Vibe Prospecting uses credits:
  • Base fetch: ~1 credit per entity
  • Enrichments: Additional credits per enrichment type per entity
  • Events: Additional credits when fetching detailed event information

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Cost Estimation

Before any export, you’ll see:
Never auto-exports - you always approve costs first.

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