NeighborCity Launches First National Real Estate Agent Rating Service for Home Buyers and Sellers
AgentMatch Scores Realtors Based on Performance to Match Home Buyers and Sellers with the Most Qualified Agent for their Transaction
SAN FRANCISCO, April 26, 2012 /PRNewswire/ -- NeighborCity® an online residential real estate service, today announces AgentMatch®, a unique service that rates virtually all active residential real estate agents across the country to match the best performing agents with the specific needs of home sellers and buyers. Traditionally consumers have selected a Realtor® via referral or word of mouth, or by visiting a industry website that provides only the listing agent for a given property, who works for the seller, or an agent that paid to advertise next to that property. Now for the first time consumers can select an agent based on performance allowing buyers and sellers to find the best performing agents in their area, whether they are purchasing their first home, relocating for work or trying to avoid foreclosure via a short sale.
For an example of an AgentMatch page, please click here.
The AgentMatch profiles and ratings are compiled on each agent's historical listing and transaction experience and analyzed through a number of performance dimensions that are most important to the consumer. AgentMatch then delivers an overall agent score along with a number of metrics and graphs that illustrate that specific agent's past performance.
The statistical information found on AgentMatch includes success rate in selling listings, number of days to sale, the "spread" or difference between the ask and sale price, the average price clients paid per square foot, and the neighborhoods, cities and listing types where agents are active. The service then compares these statistics to the agent's peer group, identified by NeighborCity, to establish an overall "NC Agent Score" showing their relative market performance. The scoring metric provides home buyers and sellers with the detailed information they need to make an informed selection. In addition to the overall agent score, AgentMatch eliminates extra work for the consumer by matching agents with each consumer based on the subject property they are interested in purchasing or selling.
"Buying a home is one of life's most important decisions, but until now the data necessary to make an informed decision was unavailable to the general public and reserved for industry insiders and well-heeled hedge funds," said Jonathan Cardella, founder and CEO of NeighborCity. "Many in the industry believe the data should remain behind lock and key and the current 'buyer beware' environment should remain unchecked. However, based on my first-hand experience, having the right broker can mean the difference between a transaction being successful or financially disastrous. Our goal is for our customers to avoid those pitfalls and experience the benefits that come from working with a top rated professional."
After reviewing and selecting top real estate agents, AgentMatch users can instantly send a select group of agents messages through text and email inviting them to assist without the customer having to share personal information with them. The first agent to connect with the customer has an exclusive opportunity to win that client's business. However, the client remains in control of the relationship, deciding if and when to hire the agent after meeting or going on a property tour. If a customer is not happy with the agent, NeighborCity will end the relationship and connect them with another top-performing agent. Upon closing, each client is entitled to a Feedback Bonus, a partial commission rebate that is delivered by NeighborCity, except where prohibited by state law.
NeighborCity makes the residential real estate market more transparent by giving home buyers and sellers the information they need to make intelligent real estate decisions. Through its AgentMatch service, it rates virtually every real estate agent in the country based on performance and quickly connects consumers to the agents best suited to them.