Region, interest preferences, topics of concern, shopping bulk sms service preferences, consumption tolerance, etc. These data help the platform and anchors to gain insight into the characteristics of fans, and facilitate the selection of product types to be sold. Master these in advance Information helps to avoid the situation of "high and low", just seeing but bulk sms service not buying. Figure 2: An example of an anchor's fan portrait Live product selection model: Based on the fan portrait model for product selection, combined with the analysis and prediction of fans who may be online,
A product portfolio model to be sold can be Bulk Sms Service formulated. The platform can also publish questionnaires online in advance, allowing fans to list the products they want to buy. Combined with the purchase needs of many fans, more detailed and accurate selections can be made in terms of product type, size, price, style, etc. , let fans feel that the bulk sms service platform is tailor-made for them, which is of great benefit to stimulate fans' desire to buy and reduce the difficulty of decision-making. Of course, factors such as the anchor personality, live broadcast theme,
Figure 3: Analysis model of product selection for bulk sms service live streaming Live broadcast planning model: The essence of live broadcast delivery shortens the purchase decision path of fans through scenario simulation and reconstruction, and the use of scenarios for designing products can use the power of data. Just as Netflix uses big data to conceive the bulk sms service content and details of "House of Cards", big data can also provide support in many aspects, such as: product pricing, product promotion planning, live broadcast date and time selection, event H5 promotional copy design ,