According to the Ministry of Economic
Posted: Mon Jun 16, 2025 8:03 am
More than 80% of sales occur in offline physical channels . such as supermarkets and mass merchandisers. wait. Therefore. in addition to collecting self-operated consumer data. the D2C model must also mine offline physical channels. which are known as data gold mines. Affairs' "Retail Industry Online Sales Statistics". nearly 90% of retail consumption occurs in physical scenes. In order to help brands regain customer management initiative from supermarkets.
Mass merchandisers and large B2C e-commerce overseas chinese in usa data platforms. Migo's Litloyal membership loyalty platform allows brands to collect customer data through invoice login. QRcode scanning. etc.. and assists in integrating online and offline Download data. build a first-party extensive data database. and achieve identifiable and effective customer analysis. 2. Full channel data integration Once a D2C brand has direct contact with customers. it will generate a huge amount of customer data.
However. because the data is scattered in various channels. it will cause difficulties in data application. Migo summarizes three common types of data integration problems for everyone:
Transaction data: How to synchronize member information with e-commerce/POS online and offline transaction data in real time? • Marketing data: How to identify the customers with the greatest potential for converting orders from the data of customers opening and clicking on marketing information such as emails. text messages.
Mass merchandisers and large B2C e-commerce overseas chinese in usa data platforms. Migo's Litloyal membership loyalty platform allows brands to collect customer data through invoice login. QRcode scanning. etc.. and assists in integrating online and offline Download data. build a first-party extensive data database. and achieve identifiable and effective customer analysis. 2. Full channel data integration Once a D2C brand has direct contact with customers. it will generate a huge amount of customer data.
However. because the data is scattered in various channels. it will cause difficulties in data application. Migo summarizes three common types of data integration problems for everyone:
Transaction data: How to synchronize member information with e-commerce/POS online and offline transaction data in real time? • Marketing data: How to identify the customers with the greatest potential for converting orders from the data of customers opening and clicking on marketing information such as emails. text messages.