What is Real Estate Analytics?

Real Estate Analytics is the process of collecting, processing, and interpreting data to help property businesses, developers, and brokers make informed decisions. At Insight Mantra, we help you turn your raw sales, rental, and location data into meaningful insights — helping you grow faster and smarter.

We focus on four major types of analytics that serve different stages of your business decision-making:

Descriptive Analytics

This answers the question: “What happened?”

• Track property sales, lease activity, and rental income.
• Monitor region-wise and property-type-wise performance.
• Understand buyer trends across timelines.

Diagnostic Analytics

This goes deeper to ask: “Why did it happen?”

By examining causes behind the trends, we analyze:

• Identify why certain listings perform better than others.
• Analyze location demand shifts or pricing drops.
• Understand leads-to-conversion ratio across projects.

Predictive Analytics

What will happen next?

• Forecast property demand based on seasonality and area.
• Predict price appreciation zones.
• Estimate rental yield for different property types.

Prescriptive Analytics

What should you do about it?

This is where you get recommendations:

• Recommend project-specific marketing efforts.
• Optimize property portfolio based on yield and sales velocity.
• Suggest pricing models for quick closures or long-term value.

What are the Benefits of Real Estate Analytics?

Smart Inventory Management

• Track units sold, available, and in pipeline.
• Understand sales velocity per project.
• Monitor construction-to-sale ratio.

Optimized Marketing & Sales

• Know which platforms or agents bring quality leads.
• Adjust campaigns based on location & buyer segment performance.
• Target buyers more effectively with historical data.

Better Investor and Client Communication

• Use dashboards to showcase performance to investors.
• Share real-time reports with brokers or clients.
• Replace manual reports with clean, professional visuals.

Key Layers in Sales Analytics Solution:

Data Collection Layer

• Pulling data from Excel, ERP, CRM, ad platforms, and websites.

Data Cleaning & Processing Layer

• Removing duplicates, standardizing formats, and preparing usable datasets.

Analytics Engine

• Using formulas, pivot tables, or Power BI visuals to generate insights.

Reporting & Sharing Layer

• Dashboards, visual summaries, and secure online access via Power BI links.

Want a hands-on example?

Let Insight Mantra help you analyze your past, plan your future, and grow smarter.

Ready to take control of your data?

Insight Mantra empowers real estate businesses to build trust, close deals faster, and scale strategically — backed by data.