Application of Web Scraping in CRM

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Customer Relationship Management (CRM) refers to the methodologies and tools that help businesses manage customer relationships in an organized way. Web scraping helps organisations to find out right prospects and offer them right products. This results in improved revenue because you can respond to each customer in best way using fewer resources.


Basic process of CRM web scraping includes:
1. Define business objective
2. Construct marketing database
3. Analyze data
4. Visualize a model
5. Explore model
6. Set up model & start monitoring


Define the business objective: Every CRM process has one or more business objective for which you need to construct the suitable model.

Construct a marketing database:
This step involves creation of constructive marketing database since your operational data often don't contain the information in the form you want it. The first step in building your database is to clean it up so that you can construct clean models with accurate data.

Analyze the data:
Prior to building a correct predictive model, you must analyze your data. Collect a variety of numerical summaries (such as averages, standard deviations and so forth). You may want to generate a cross-section of multi-dimensional data such as pivot tables.

Graphing and visualization tools are a vital aid in data analysis. Data visualization most often provides better insight that leads to innovative ideas and success.


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