How to Apply Field-Specific Weightings in Zingg for Accurate Customer Data Consolidation

Hi, I’m using Zingg for customer data consolidation and noticed that customers with differing details (email, address, city, state, zip, etc.) but identical phone numbers are clustered together, yet the z-score remains below 0.5. Please let me know if there is any way we apply field-specific weightings in Zingg? Since identical phone numbers indicate the same customer, they should have a higher z-score.