Data Sourcing

Provider Selection Matrix

For Email Discovery

Best Input Scenarios:

• Have LinkedIn URL: ContactOut → RocketReach → Apollo
• Have Name + Company: Apollo → Hunter → RocketReach → FindyMail
• Have Domain Only: Hunter → Apollo → Clearbit
• Have Email (need validation): ZeroBounce → NeverBounce → Debounce

Quality Tiers:

• Premium (90%+ success): ZoomInfo, BetterContact waterfall
• Standard (75%+ success): Apollo, Hunter, RocketReach
• Budget (60%+ success): Snov.io, Prospeo, ContactOut

For Company Intelligence

Data Type Priority:

• Basic Firmographics: Clearbit (fastest) → Ocean.io → Apollo
• Financial Data: Crunchbase → PitchBook → Dealroom
• Technology Stack: BuiltWith → HG Insights → Clearbit
• Intent Signals: B2D AI → ZoomInfo Intent → 6sense
• News & Social: Google News → Social platforms → Owler

Industry Specialization:

• Startups: Crunchbase, Dealroom, AngelList
• Enterprise: ZoomInfo, D&B, HG Insights
• E-commerce: Store Leads, BuiltWith, Shopify data
• Healthcare: Definitive Healthcare + compliance providers
• Financial Services: PitchBook, S&P Capital IQ

Credit Optimization Strategies

Cost Tiers

Tier 0 (Free): Native operations, cached data, manual inputs
Tier 1 (0.5 credits): Validation, verification, basic lookups
Tier 2 (1-2 credits): Standard enrichments (Apollo, Hunter, Clearbit)
Tier 3 (2-3 credits): Premium data (ZoomInfo, technographics, intent)
Tier 4 (3-5 credits): Enterprise intelligence (PitchBook, custom AI)
Tier 5 (5-10 credits): Specialized services (video generation, deep AI research)

Optimization Tactics

1. Cache Everything

• Email: 30-day cache
• Company: 90-day cache
• Intent: 7-day cache
• Static data: Indefinite cache

2. Batch Processing

# Process in batches for volume discounts
if record_count > 1000:
    use_provider("apollo_bulk")  # 10-30% discount
elif record_count > 100:
    use_parallel_processing()