Full-link online marketing method based on fast moving consumer goods
A product and route technology, applied in the field of full-link online marketing based on FMCG products, can solve the problem that the closed loop of brand private domain traffic cannot be established, the private domain membership system cannot be established, and the brand private domain data cannot be effectively used online. Reach and other issues to achieve the effect of improving brand sales conversion
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0030] Example 1: Please refer to Figure 1-2 , A full-link online marketing method based on FMCG products, including the following steps:
[0031] 1. Obtain user information: including user basic information, social attributes, interest attributes, and other attributes
[0032] 2. Conduct transaction information management: user order information, historical purchase information, product preferences, browsing preferences, conversion channel information
[0033] 3. Analyze interactive behavior data: browsing behavior, activity preferences, behavior attributes, service tendencies
[0034] 4. Establish data cleaning ETL (English abbreviation of Extract-Transform-Load, used to describe the process of extracting, transforming, and loading data from the source to the destination), the data lake full link Centralized data service
[0035] Follow the steps below for system management:
[0036] 1. Daily operation push
[0037] Holiday operation: According to browsing habits, shopping characteri...
Embodiment 2
[0045] Embodiment 2: On the basis of Embodiment 1, management based on the full life cycle of the user's full link:
[0046] 1. Pull new:
[0047] Provide new services through multiple channels such as coupon distribution / advertising / member recruitment / offline activities / online activities;
[0048] Bring new members into the private domain traffic / private domain member pool for effective member management.
[0049] 2. Activation:
[0050] Through characteristic service, one-to-one service, sample delivery service, users pay attention and care to activate the vitality of members.
[0051] 3. Interaction
[0052] Through content, grouping, online community, sharing, social fission, live broadcast, offline activities for user interaction, user loyalty is established.
[0053] 4. Conversion:
[0054] User conversion is carried out through promotion, marketing, precise reach, limited products, brand activities, and distribution.
[0055] 5. Retention:
[0056] Manage user life cycle through loyalt...
specific Embodiment approach
[0057] The main technologies of the project include: big data collection ES Tracking, big data preprocessing ETL, big data storage and management Data WareHouse, big data analysis and mining, big data display and application (big data retrieval, big data visualization, big data application, big data Data security, etc.) CDN mirroring technology distributed storage shared storage massive data queue cache, high concurrency solutions, file column storage.
[0058] The platform is based on various technical components of Hadoop / SPARK (such as MapReduce, HBASE, Spark, HIVE), relational database storage procedures, ETL-based calculations, data cleaning, and calculations through python, etc., and supports multiple scheduling strategies (time / interface) Notification / Manual / Message / SMS / WeChat / APP), based on the micro-service architecture, flexible horizontal expansion.
[0059] Through behavior, order, transaction, collect unique user information to form user portrait, label system, analyze...
PUM
Login to View More Abstract
Description
Claims
Application Information
Login to View More 

