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II. CRM & Leads

A robust data collection pipeline is essential for gathering valuable insights into user behavior, property preferences, and market trends. The custom MLS browsing site will implement a comprehensive data collection strategy to capture and analyze user interactions across the website.

1. Page Interaction Tracking

To understand how users navigate the website and interact with its various features, the site will implement page interaction tracking mechanisms. This will involve capturing data such as:

  • Page Views: The number of times each page on the website is visited.

  • Click-Through Rates: The percentage of users who click on specific links or buttons.

  • Scroll Depth: How far down a page users scroll before exiting.

  • Time on Page: The average amount of time users spend on each page.

  • User Actions: Specific actions performed on pages, such as submitting forms, filtering listings, or clicking on suggested properties.

By analyzing page interaction data, website administrators can identify areas of interest, optimize page layouts for better user engagement, and improve the overall user experience.

2. Home Interaction Data

In addition to general page interactions, the website will also collect data specifically related to user interactions with individual properties. This data will include:

  • Property Views: The number of times a property listing is viewed.

  • Image Clicks: The number of times users click on individual property images.

  • Contact Form Submissions: The number of times users submit contact forms related to specific properties.

3. Backend Integration

The collected data will be integrated into the website's backend system for storage, analysis, and future enhancements. This integration will involve:

  • Data Storage: Implementing secure and scalable data storage solutions to handle the volume of collected data.

  • Data Cleaning and Preprocessing: Cleaning and preparing the data for analysis, ensuring data accuracy and consistency.

  • Data Analysis: Utilizing data analytics tools to identify trends, patterns, and correlations within the collected data.

By integrating data into the backend, the website can utilize these insights to personalize user experiences, improve property suggestions, and optimize the overall effectiveness of the MLS browsing tool.

The data collection pipeline will empower the relator group to gain a deeper understanding of their target audience, make informed decisions about property marketing strategies, and enhance the overall value of their MLS browsing site.