I ran 500 enterprise records and 500 SMB records through a naive Clay waterfall last quarter — PDL first, then Apollo, then Hunter.io — and burned through credits at roughly 3x the rate I needed to. The SMB records in particular were wasteful: Hunter.io found valid emails for 58% of them on the first try, but I'd already paid for PDL lookups that returned nothing on over 300 rows. That test forced me to actually think about sequencing logic instead of just stacking providers in the order Clay's UI suggests them. The angle every existing guide misses is this: the optimal provider order is not universal . It depends on persona type, and getting it wrong is a direct tax on your credit budget. Which Provider Should Lead Depends on the Persona, Not the Data Field Before you touch the waterfall toggle in Clay, answer two questions about your target persona: company size and title type. These two variables determine which provider has the highest probability of returning a result on the first call.…