A method for realizing intelligent operation and precision marketing through big data modeling

Abstract

The invention discloses a method for realizing intelligent operation and precision marketing through big data modeling. The method comprises the following steps of 1, acquiring various data of a product in an APP access process of a user; 2, integrating the various acquired real-time data and offline data by establishing a Hadoop-based big data ecological platform; 3, adopting artificial intelligence, a machine learning algorithm and a probability statistics model, and realizing rapid construction of a marketing model through self-defined model indexes; and 4, completing the configuration of the decision flow and the test engine in the engine system, when the user triggers a certain strategy response rule in the process of using the app, automatically pushing a corresponding operation strategy by the background, and pushing different information by aiming at different users in a personalized manner at the app end. According to the method, the data value is continuously mined from the service demand and the user demand to form the service experience and the data model, data support is provided for operation strategy optimization and product innovation, and the operation cost is saved while the user experience is improved.

Description

technical field [0001] The invention relates to the technical field of big data processing, in particular to a method for realizing intelligent operation and precise marketing through big data modeling. Background technique [0002] Big data marketing is a marketing method applied to the Internet advertising industry based on a large amount of data from various social platforms and relying on big data technology; big data marketing is derived from the Internet industry and acts on the Internet industry. Relying on the big data collection of multiple platforms, as well as the analysis and prediction capabilities of big data technology, it can make advertising more accurate and effective, and bring a higher return on investment to brands or enterprises. Use user behavior data monitoring to allocate advertising resources reasonably. Public relations is composed of three elements: social organization, the public, and communication; it is the science and art of social organizati...

AI Technical Summary

Problems solved by technology

[0003] However, big data shows many shortcomings and pain points in the application of Internet operations: 1. The data is incomplete and cannot learn more about the relevant social relations and emotional information of users; 2. Business personnel such as marketing, operations, and calls lack data-driven awareness ;3. Emphasis on data rather than analysis, paying too much attention to the collection of market data, while ignoring the data needs of technology and business departments; 4. The data resources between different business departments are independent of each other, and it is impossible to form a data-based closed-loop operation route; 5. The direction of product innovation cannot be obtained through data, and the product lacks creativity, etc.