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General Questions

Basic enrichment uses a single data provider to perform one lookup per lead. You choose the specific provider (like ZoomInfo or Clearbit) and lookup method. It’s cost-effective and predictable.Advanced enrichment uses allGood’s intelligent system that searches the web first to find LinkedIn profiles, then tries multiple data providers automatically to maximize hit rates and data quality.
Yes! This is actually a recommended strategy. Set up a workflow with Basic enrichment first (using your preferred provider), then Advanced enrichment second to fill in any remaining gaps. This maximizes your existing provider subscriptions while ensuring comprehensive coverage.
Enrichment costs vary by provider and data elements:
  • Basic mode: Depends on your selected provider’s pricing
  • Advanced mode: Uses allGood’s provider network with usage-based pricing
  • Phone/Email discovery: Adds significant cost but improves contact rates
  • LinkedIn-only enrichment: Most cost-effective option in Advanced mode
Enable expensive features like phone discovery only when needed for specific campaigns.
Standard contact fields: Name, Email, Job Title, Company, LinkedIn URL, PhoneCompany information: Industry, Employee Count, Revenue, Location, WebsiteContact details: Address, City, State, Country, Social profilesCustom fields: Any field you define, with specific instructions for what to find
Data accuracy depends on several factors:
  • LinkedIn profiles: Highest accuracy when found, as professionals maintain their own data
  • Multiple provider validation: Advanced mode cross-checks sources for better accuracy
  • Recency: Newer data from active sources is typically more accurate
  • Matching criteria: Stricter matching rules improve accuracy but may reduce hit rates
Use metadata fields to track confidence scores and validate critical data manually.

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Technical Questions

Advanced enrichment uses web search to find LinkedIn profiles by:
  1. Searching for “FirstName LastName Company” variations
  2. Validating profile matches against input data
  3. Extracting professional information from the profile
  4. Using the profile as a foundation for additional data provider lookups
allGood’s Advanced enrichment system:
  • Prioritizes LinkedIn data as the most reliable source
  • Uses recency signals to prefer newer information
  • Cross-validates critical fields across sources
  • Applies custom instructions to resolve conflicts
  • Tracks source attribution in metadata fields for transparency
Basic mode: You select the specific provider and lookup methodAdvanced mode: allGood manages provider selection automatically, but you can:
  • Use custom instructions to specify preferences
  • Exclude certain data types or sources
  • Set quality thresholds that influence provider selection
The overwrite setting is configured per field:Overwrite disabled: Only fills empty/missing fields, preserves existing dataOverwrite enabled: Replaces existing data with enriched informationBest practice: Enable overwrite for frequently outdated fields (job titles, phone numbers) and disable for stable fields (names, company names).

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Setup and Configuration

  1. Go to Settings > Enrichment
  2. Click Create Enrichment Profile
  3. Configure mode, fields, and instructions
  4. Save with a descriptive name
  5. Attach to different Skills or Flow steps as needed
Create multiple profiles for different scenarios (high-value leads vs. bulk processing).
Metadata fields store information about the enrichment process itself, not about the lead. Useful examples:
  • Enrichment Date: When the data was enriched
  • Primary Source: Which provider supplied most data
  • Confidence Score: How reliable the enriched data is
  • LinkedIn Found: Whether a LinkedIn profile was located
This helps with quality control, troubleshooting, and campaign optimization.
Good custom instructions are specific and actionable:Bad - Vague: “Find good data” Good - Specific: “Only enrich technology companies with 50+ employees. Focus on finding work email addresses, not personal ones.”Bad - Too restrictive: “Only use data from the past 30 days” Good - Balanced: “Prefer recent data but accept older information if it’s the only source available”
Yes! Always test with a small sample first:
  1. Create your enrichment profile
  2. Upload a small test file (10-20 leads)
  3. Run the enrichment step
  4. Review results and adjust configuration
  5. Scale up to your full dataset

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Troubleshooting

Common causes and solutions:Input data quality issues
  • Ensure names are properly formatted
  • Check for typos in company names
  • Verify email addresses are accurate
Overly restrictive matching
  • Review custom instructions for overly specific criteria
  • Consider enabling “fuzzy matching” for company names
  • Add LinkedIn URL as a field to improve matching accuracy
Provider coverage gaps
  • Switch to Advanced mode for better provider coverage
  • Try different lookup methods in Basic mode
  • Check if your lead segments are well-covered by your chosen provider
Phone/email discovery enabled
  • These features significantly increase costs
  • Disable if not needed for current campaign
  • Use targeted profiles that enable these features selectively
Always enrich setting
  • Processes leads even with complete data
  • Switch to “Only when missing data” for cost control
  • Use separate profiles for validation vs. completion
Advanced mode on large datasets
  • Uses multiple providers automatically
  • Consider Basic mode for budget-conscious bulk processing
  • Use sequential enrichment (Basic first, then Advanced)
Matching errors
  • Tighten matching criteria in custom instructions
  • Add validation fields like LinkedIn URL
  • Enable manual review for high-value leads
Outdated source data
  • Providers may have stale information
  • Use multiple sources for validation
  • Implement confidence scoring to flag uncertain data
Name conflicts
  • Common names may match wrong people
  • Add company domain validation
  • Include more identifying information in matching
  1. Add specific field instructions 
    Job Title Instructions: Only accept C-level titles (CEO, CTO, CFO, CMO).
Reject generic titles like "Manager" or "Associate".
  2. Enable field-level overwrite selectively
    • Disable overwrite for fields getting wrong data
    • Only fill when the field is truly empty
  3. Add validation metadata 
    Field: job_title_confidence
Instructions: Rate confidence in job title accuracy from 1-10
  4. Use custom validation logic 
    Instructions: Cross-check job title against LinkedIn profile.
Flag mismatches for manual review.

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Best Practices

Use Advanced enrichment when:
  • Data quality is more important than cost
  • You have incomplete lead databases
  • You need maximum hit rates
  • LinkedIn profiles are important for your use case
Use Basic enrichment when:
  • You have a preferred data provider
  • Cost control is critical
  • You need predictable provider sourcing
  • You’re processing large volumes of similar leads
Quarterly refreshes for:
  • Job titles (change frequently)
  • Company information (growth, acquisitions)
  • Contact information (phone, email changes)
Annual reviews for:
  • Name and basic demographics
  • Industry classifications
  • Location data
Event-triggered enrichment for:
  • New leads from campaigns
  • Lead status changes (qualification, opportunity)
  • Account expansion activities
Essential fields for all profiles:
  • LinkedIn URL (improves matching accuracy)
  • Email (for professional contact discovery)
  • Job Title (for persona targeting)
  • Company (for account intelligence)
Optional fields based on use case:
  • Phone (only if doing outbound calling)
  • Industry/Company size (for segmentation)
  • Location (for territory assignment)
Always include metadata:
  • Enrichment date
  • Primary data source
  • Match confidence level
  1. Regular profile optimization based on performance metrics
  2. Feedback loops from sales teams about data accuracy
  3. A/B testing of different enrichment strategies
  4. Quality scoring and manual review workflows
  5. Source performance monitoring to identify declining providers

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Getting Help

If you need additional assistance:
  • Documentation: Review the setup guide and advanced strategies
  • Support Team: Contact support for provider-specific issues
  • Best Practices: Schedule a consultation for optimization recommendations
  • Community: Join user discussions about enrichment strategies