How to use synthetic data to train b2b lead-scoring models without breaching privacy regulations
When I first started experimenting with synthetic data for B2B lead-scoring models, I was skeptical. Could artificial records really capture the patterns that predict buyer intent, without exposing real customer data and risking GDPR or CCPA violations? After several pilots, iterations, and conversations with legal and data teams, I’ve come to see synthetic data not as a magic wand but as a practical, privacy-preserving tool that—when used...