The success of real estate agents has long been tied to their ability to read and connect with their clients. Agents who are able to anticipate the needs and desires of their clients have the best chances to close sales, whereas those who do not take the time to learn about their clients often fall by the wayside.
One way for real estate agents to gain an advantage in their sales over their counterparts is through data mining.
Usually, real estate agents discovers personal information about their potential customers by spending time with them and through having old-fashioned conversations. The popular method such asking questions is great way and takes good interpersonal communications skills but today we can go beyond and use data mining software to discover personal information that will help them make sales. The data mining software is able to determine large amount of data and discover personal preferences before meeting with potential customer.
How Data Analytics is Changing the Real Estate Market
Usually real estate agents operate by meeting their potential clients. Once these agents have determined client's needs, they prepare a list of potential home showings and try to get the clients to attend them. Sometimes it's like a lottery because attended clients have different preferences not included in the agent's research.
Real estate agents who use data mining techniques can save money and have a great number of advantages over the typical real estate agents. Example information included in data mining prediction techniques or classifications include the following parameters:
- Where they are living
- Approximate income
- Marital status
- Current home values
- Previous home showings
- How long clients looking for a new property
- Distance to nearest school, local health center, parks
- Number of children in nearest school and opinion, etc.
The data mining software can classify potential customers and plan effective strategies. Also the data mining software can gain data from land registry or other sources about sold properties, prices, and show preferences of potential clients.
AlfaSynapse software
Data mining software and fast computers can extract predictive information from large databases. AlfaSynapse allows the user to collect data using online web forms or to import data about potential customers, sales from any other source. Based on collected data, the AlfaSynapse can process the data and predict sales, create and plan marketing strategies. Its learning mechanism helps deliver information about potential customer preferences and advises when and where to send information to the selected customers about new properties in the area, etc.
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