How can platforms filter out fake new customers?

E-commerce and hiring platforms are tightening defenses against fake new customers who exploit signup perks.

The strategy combines identity verification, CI/DI-based duplicate blocking, device IDs, address normalization, and network pattern analysis.

Examples such as Market Kurly, Musinsa, Albamon, and Coupang Eats show how platforms define real customers and filter cherry-pickers.

The goal is to protect marketing budgets and keep acquisition metrics from being distorted by fraudulent signups.