Real estate data analytics is a hot topic right now. For many agents, their real estate data is limited to Excel spreadsheets, databases, and a good old-fashioned phonebook. But, that’s about to change. Real estate data is a real asset for any agent, seller, or investor.

It can help agents with property valuation, assist sellers with marketing and help investors sift through potential properties before making a decision. The first step in becoming a successful real estate agent is understanding the market. The second is understanding the data. Real estate data analysis is the machine-learning of information to make smart decisions. The third step is implementing that data strategy. Let’s take a look at the top trends in real estate data analytics.

Real Estate Data Is Out There

There are many ways to obtain real estate data. Agent websites are one source, as are online listing portals, analytics tools, CRMs, social media monitoring tools, and real estate apps. The best source, however, is your own data. Data is the foundation of real estate data analysis. If you don’t have it, you’ll only be able to crunch the numbers and make educated guesses. You can start with an inventory of the properties you already own. Reach out to current and former clients and colleagues for a list of properties and recent sales. All of this information is out there, and it doesn’t require digging through endless stacks of paperwork.

Agents Can Utilise Data to Grow Their Business

Real estate data analysis is a growing market. There are a number of analysts offering various solutions. In fact, as real estate data becomes more accessible, the demand for it is expected to grow. There are two main ways to grow your business with data: lead generation and client acquisition. Lead generation allows you to identify prospective clients and place them on your sales funnel. This can be done through online marketing, paid listings, and property tours. Client acquisition is the process of acquiring new clients and moving them through the sales funnel. The best way to grow your business with data is to leverage your data to better serve your current clients. This can be done through performance analytics.

A great example would be Nikos who was able to see his Real Estate Firm email marketing activity produce over 50 valuated leads with one newsletter campaign using our system!

Data Analytics is the New SEO

When you think about real estate data analytics, you might not immediately think about SEO. But, these two industries have a lot in common, and there is a good reason for that. SEO’s purpose is to make content available on all digital platforms and attract readers to the content. Data analytics does the same: it makes data available on all digital platforms and attracts clients to your business. The two industries have a lot in common, and the most successful real estate agents are those who are data-driven. Data analytics will be the engine of real estate growth in the coming years.

Data Analytics to Make Decisions

Many real estate decisions can be made with data analytics. Let’s say you own multiple properties and are considering selling them all. You could start with visualization to show your team the properties in one place. You could also create a dashboard with the key metrics and sales trends to help pinpoint the best time to sell. Data analysis could help you make better decisions when it comes to the health of your business, such as determining if you should be holding onto multiple properties or if it’s time to sell. Data analysis could also help you make decisions when revising your strategy. For example, you could tweak your marketing strategy based on your competitor’s strategy.

Data Visualization for Property Visibility

The best real estate agents stand out in their market. One way to do this is through visualization. Visualization allows you to view properties, make comparisons and create a visual narrative. This can be done through maps, graphs, timelines, and more. Data can also be used for property visibility, which means making properties searchable and displaying them in search results. Visualization and property visibility are effective at drawing attention. However, it’s also important to remember that real estate data analysis is about more than making visuals visible. It’s about making the data accessible and useful.

Data Analysis for Marketing and Strategy

Data analysis can help you with your marketing strategy. This could be done by determining your leads and sales funnel strategies. It could also be done by using buyer personas, which help you tailor your marketing messages to your specific buyer. Data analysis can also be used for your real estate strategy. This could be done by using a home value mapping tool to determine optimal listings. It could also be done by using a market analysis tool to determine the current market trends. Finally, data analysis can be used for your day-to-day operations. This includes personnel recruitment, marketing automation, and more.

Conclusion

Real estate data analysis is the machine-learning of information to make smart decisions. It’s important to implement data protection and standard operating procedures to make sure your data is protected. Data analysis can be used for protection, investor protection, and investor protection. It’s also important to remember that data analysis is not limited to the real estate industry. It’s a great way to make data accessible and useful

Are you looking for a data analytics solution to streamline your decisions in Real Estate?