Introduction
According to a survey conducted by Statista, “The Real Estate market worldwide is expected to reach a staggering value of US$654.39tn by 2025”. This shows an increasing demand for both residential and commercial spaces, with United States set to “generate the highest value in the Real Estate market, with an impressive US$136.6tn projected for 2025”. Now you must be wondering how will the real estate market handle this huge demand and maintain personalization at the same time. Realtors and developers need to buckle up and start integrating advanced tools and platforms that will help them stay relevant in the market. The future real estate market holds some glorious promises. Are you ready to dive in?
With emerging technologies crowding the market, companies are constantly looking forward to creating strong relationships with their customers. The real estate industry is also looking forward to implementing strategies that can help them improve customer loyalty and build lasting relationships with both buyers and sellers.
The future real estate market will depend a lot on customer data. Want to know how your competitors are attracting customers or want to know what kind of properties customers are most likely to gravitate towards? Data is your answer. Realtors and developers need to leverage data to gather insights which will help them build lasting relationships and offer personalized experiences.
Previously, real estate was known to be only a strictly transactional business—sell a property and move on. But modern consumers want more than that. They find this type of business model to be outdated, creating major dissatisfaction. They want realtors and developers to pay close attention to their requirements and then show them properties that can help them make better financial decisions and choose properties wisely.
This can be only achieved if real estate businesses know how to keep their customers engaged. Improving customer loyalty is essential for long-term growth, and that means real estate companies must shift from a “revenue-centric” business model to a “customer-centric” business model.
AI-powered platforms, CRM, etc., empower real estate professionals to gather insights from customer interactions, preferences, and behaviors. With these insights, businesses can segment audiences according to demography, earning capabilities, etc., and tailor property showings, and engage with customers in meaningful ways.
A data-driven customer engagement strategy helps developers understand if a buyer wants a smaller home with large communal areas or a quiet, work-from-home-friendly unit. These insights improve customer experience and build loyalty in real estate.
What Challenges Can Hinder the Future Real Estate Market?
These real estate challenges can create a dent in the future real estate market, if not tackled early:
Inaccurate Financial Reporting
For both customers and realtors, trust is everything. But when financial data is misrepresented due to reporting errors—such as misclassified expenses, inconsistent property valuations, or improper revenue recognition—stakeholders and customers may lose confidence in the company. Clients, especially investors and residential buyers, expect clear, accurate financial insights before making decisions. Inaccurate pricing can cause long-term reputational damage as well.
Disjointed Customer Relationship Management (CRM)
Managing client interactions across multiple channels—email, phone calls, in-person meetings, and social media—without a centralized CRM system leads to fragmented communication and missed opportunities. Inconsistent data entry, inconsistent follow-up, and outdated contact records often result in delayed responses and impersonal interactions. This fragmented approach makes clients feel undervalued, pushing them toward competitors with more personalized service models.
Manual and Inefficient Processes
Tasks such as processing rent payments, invoices, and maintaining property records are time-consuming and prone to errors when handled manually. These inefficiencies delay crucial business functions, like closing deals or responding to tenant issues, affecting the customer experience. A slow or error-prone process reflects poorly on the company, and you can lose out on important customers.
Fragmented Systems and Siloed Data
Realtors and developers frequently rely on multiple systems, which results in fragmented data. This fragmented data from disparate systems is then used for accounting, property management, customer service, and marketing. Without seamless integration, there’s no unified view of the customer journey, which creates challenges for real estate companies to miss out on opportunities to provide elevated customer experiences and build loyalty. For example, a realtor might not be aware of unresolved maintenance issues that are frustrating for a tenant—leading to service inconsistencies that reduce loyalty.
Ineffective Lease and Property Management
Poor lease management—such as missing rent escalations, failing to enforce terms, or overlooking key maintenance responsibilities—can result in revenue loss and tenant dissatisfaction. Similarly, inadequate tracking of maintenance requests or slow response times leads to negative experiences for tenants and buyers. If clients feel neglected or misinformed, they’re unlikely to remain loyal, no matter how attractive the property is.
Inability to Keep Pace with Market Expectations
With customer expectations evolving rapidly, especially around digital convenience, many real estate firms struggle to offer modern, tech-enabled experiences. Clients expect real-time updates, virtual tours, and mobile-friendly communications. Falling short in this area—due to legacy systems can make a realtor seem outdated and less competitive, especially with younger, tech-savvy buyers, as they essentially will shape the future real estate markets.
Challenges in Navigating Market Volatility
Real estate professionals must contend with changing interest rates, inflation, and housing shortages. These factors influence pricing, availability, and financing. These uncertainties often result in delays, renegotiations, or sudden changes that disrupt client expectations.
Complex Taxation and Compliance Burdens
The real estate industry deals with intricate tax implications and compliance requirements. Failure to manage these accurately can lead to financial surprises for clients or delayed closings. Buyers and investors rely on realtors to guide them through these complexities. A mistake here results in losing out on brand loyalty.
Scalability Limitations
As real estate organizations expand geographically or diversify their offerings, maintaining their current architecture or systems to handle the huge volume of data, becomes expensive and challenging. Outdated and legacy systems cannot keep up with increasing data, creating major scalability issues. As now realtors struggle to get real-time data, they provide inconsistent customer experiences. This can make customers feel undervalued.
Supply Chain Disruptions and Project Delays
Material shortages and construction delays frustrate both buyers and tenants, especially when move-in dates or promised upgrades are postponed. Realtors who can’t provide timely updates or alternative solutions risk damaging their relationships with clients, who expect reliability and proactive communication.
Lack of Proactive Market Insights
Modern clients want realtors who can act as advisors—not just transactional agents. But many real estate professionals fall short in using data to anticipate client needs, offer strategic recommendations, or identify emerging investment opportunities. Without proactive, insight-driven guidance, clients may seek out competitors who demonstrate a deeper understanding of the market and their long-term goals.
How Can Snowflake Solves These Challenges?
Snowflake AI Data Cloud – the popular cloud data warehouse platform solves all these real estate challenges, helps realtors improve customer loyalty strategies and enhance customer engagement. Here’s how:
Provides Unified Data Platform and Seamless Data Sharing
Snowflake consolidates data across various channels—web, mobile, CRM tools, and third-party systems—into a single, unified platform. This eliminates data silos and ensures that data integrity is maintained. Since all the data is now stored on a unified platform, all teams within the organization can work with the same and up-to-date customer information, enhancing data sharing and fostering seamless collaboration.
Facilitates Real-Time Analytics
With Snowflake’s cloud-native architecture, real estate firms can access real-time insights. Whether it’s tracking website behavior or monitoring sales funnel performance, teams can respond instantly and improve customer engagement.
Enables Personalization
Through integrations with AI and machine learning tools, Snowflake enables predictive modeling and segmentation. Realtors and developers can target specific customer groups and fulfill their requirements. For example: Realtors can create appropriate campaigns for millennial buyers looking for eco-friendly homes that truly resonate with them.
Provides Scalability and Compliance
Snowflake is built to scale with your business. As you grow, it adapts to new regulations and workloads without requiring complex upgrades. Its robust security and compliance features also ease the burden of adhering to data governance policies on realtors.
Kasmo Enhanced Customer Engagement for a Leading Realtor – Here’s How
Our client, a renowned luxury real estate developer in Asia, has built some of the most popular residential and commercial properties. Known for timely project delivery and practicing a customer-first approach, the client has consistently won accolades for innovation and excellence. However, they needed a technology upgrade to match their growing customer base and rising service expectations.
Despite their success, the client faced several roadblocks while they were planning on strengthening customer loyalty:
- Fragmented Customer Insights: Disparate systems made it hard to track engagement across all touchpoints.
- Unstructured Data and Feedback: The client also struggled with unstructured customer feedback data. Analyzing large volumes of text including feedback from customers, complaints, and suggestions was time-consuming and inefficient.
- Delayed Service Response: Lack of real-time visibility into service operations caused delays while responding to customer queries.
Our Snowflake-certified experts at Kasmo understood these challenges and leveraged Snowflake AI Data Cloud to eliminate these roadblocks and improve customer loyalty. Our experts:
Created a Unified Customer Service Dashboard
Kasmo built an interactive, real-time dashboard that consolidated data across projects, agents, and regions. By integrating Salesforce data, the platform enabled:
- Monitoring of case resolution efficiency across cities and teams
- Identifying recurring issues that caused customer dissatisfaction
- Reducing the number of times the customer had to reiterate their issues enabled a smoother customer journey.
AI-Powered Sentiment & Feedback Analysis
Customer feedback—previously trapped in free-text emails, chats, and complaints—was analyzed using NLP models. The system:
- Automatically categorized sentiment (positive, negative, neutral).
- Flagged high-severity issues in real time.
- Identified recurring themes in complaints and suggestions.
This allowed the client to engage faster, prioritize the right customers, and resolve concerns before they escalated—improving customer satisfaction and brand trust.
Data-Driven Loyalty Insights
Kasmo implemented a Customer Loyalty Analytics framework that analyzed:
- Customer behavior across purchases, referrals, upgrades.
- Lifetime value segmentation to identify high-potential customers.
- Key drivers of engagement and churn.
By understanding what truly matters to their customers, the client was able to design personalized offers and better loyalty experiences that strengthened customer engagement and long-term relationships.
Conclusion
The future real estate market is evolving rapidly, driven by customer expectations and technology innovation. Today’s customers demand seamless, personalized experiences—from virtual property tours and data-driven recommendations to responsive post-sale service. For real estate companies, the key to winning and retaining customer loyalty lies in how effectively they use data to understand, engage, and serve their audiences.
However, real estate firms continue to grapple with siloed systems, inefficient processes, and poor visibility into customer journeys. These barriers make it difficult to deliver consistent, meaningful experiences and often result in frustrated clients and missed opportunities.
Snowflake AI Data Cloud allows realtors to centralize the data, enabling real-time analytics. Realtors can also integrate their data with AI/ML applications on Snowflake. This AI data cloud platform empowers realtors to build stronger customer relationships, streamline operations, and scale infinitely to accommodate growing volumes of customer data.
To thrive in the future real estate market, organizations must shift from reactive, fragmented strategies to proactive, insights-driven loyalty strategies. This means embracing Snowflake, partnering with Kasmo, leveraging unified data, and focusing solely on customer engagement.
