Big Data Precision Marketing is a marketing approach based on big data analysis, which collects, integrates and analyzes a large amount of data to understand the needs, interests and behaviors of customers, so as to achieve precise placement and services.

The process of Big Data Precision Marketing mainly includes the following steps:

1. Data collection: collect customers' data through various channels, such as social media, search engines, e-commerce websites, etc.

2. Data cleansing: the collected data is cleaned and processed to remove duplicate data, missing values and outliers, etc.

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3. Data analysis: analyze the cleaned data using techniques such as statistics and machine learning to mine information about customers' needs, interests, and behaviors.

4. Model construction: build a prediction model based on the analysis results to predict the future behavior and needs of customers.

5. Precision Placement: Place ads to target customer groups based on the prediction model.