Provider order
Run these in series, not parallel. Each step only fires if the previous step returned null. Cheap providers go first to keep credit cost minimal on easy finds.
Step 1: Icypeas — 0.5 credits / row
Cheapest provider in our stack. Good baseline hit rate on common B2B emails. Always runs first to keep average cost down.
Step 2: LeadMagic — 1 credit / row
Strong on SMB and recent role changes. Picks up what Icypeas misses on smaller domains.
Step 3: Enrow — 1 credit / row
Solid EU coverage. Frequently hits where US-focused providers return null on European prospects.
Step 4: Kitt — 1 credit / row
Final cheap step before we start spending real credits. Catches another slice of stragglers from steps 1-3.
Step 5: Findymail — 2 credits / row
High-quality validated finds. We trust Findymail results without extra verification, which saves a credit downstream.
Step 6: Hunter — 2 credits / row
Strong on tech B2B and US lists. Also doubles as our verification provider on results from earlier steps if we need a quality gate.
Step 7: Prospeo — 2 credits / row
Niche provider with good catalog depth on long-tail domains. Often returns hits where the bigger names fail.
Step 8: Datagma — 2 credits / row
Strong on NL/BE/DE markets. Worth the 2 credits when you target European mid-market.
Step 9: Wiza — 2 credits / row
LinkedIn-derived data. Best for prospects with active LinkedIn profiles where we already have the URL.
Step 10: Dropcontact — 2 credits / row
French-rooted, strong GDPR posture. Last resort when nothing else returns. Often picks up the final 2-3% of finds.
Credit math
Average cost per 1,000 prospects on a mixed EU/US B2B list:
- Most rows resolve in steps 1-4 (cheap tier, 0.5-1 credit/row)
- ~25% of rows continue into the 2 credit/row tier
- ~5% of rows exhaust the full waterfall and still return null
- Net: roughly 1,300-1,800 credits per 1,000 prospects at ~95% find rate
Running these 10 providers in parallel would cost 15.5 credits per row regardless of hit position. Sequencing them by price cuts that by 80-90%.
What you get in the full template
- Clay table JSON export, all 10 providers wired and sequenced
- Column-by-column setup with screenshots
- Fallback logic for when a provider rate-limits or goes down
- Credit budget calculator: input list size, output expected cost
- Two alternate provider orders for US-heavy and EU-heavy lists