When cross-border sellers, MCN agencies, and social media advertising teams discover fans of competing products/vertical bloggers, there are five major problems in manually page-by-item sorting of account information: low efficiency, missing fields, data distortion, operational risk control, and advertising losses:
The manual collection fields are incomplete and cannot completely construct hierarchical user portraits.
Manual counting of massive fans takes a lot of time, and the batch customer acquisition cycle is lengthened.
Unable to identify the true quality of accounts, mixed with a large number of low-value, private and invalid accounts
Lack of full-dimensional interaction indicators makes it impossible to accurately assess the commercial potential of fans
Scattered table data is poorly standardized and cannot be directly reused in SCRM and advertising backends.
