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Localized Data: Knowing a Listing Inside and Out

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You finally did it! You found your dream house, bought it for a fair price (maybe even haggled your way down a bit), and you’re looking forward to the beautiful hardwood floors, a recently renovated kitchen, and brand new bathroom tiling.  This is the best day of your life.  Moving day comes and you, your significant other, and your newborn baby pile into the moving van and head towards your new castle of dreams.

Along the way, you drive past cheery suburbs and towns full of character, and you daydream about the awesome barbecue you’ll host to introduce yourself as your new neighbors will admire your stunning new house, the 1400 ft basement that you are going to convert into a second family room, the room at the top of the stairs that you are going to turn into your personal trophy room (Happy Gilmore reference anyone?).  But, as you get closer to your new address, things start to change.  The bright cheery suburbs are replaced with an industrial park! The towns filled with character have been replaced with dilapidated storefronts and sketchy alleyways.  An unpleasant smell takes over, and you realize the nation’s second largest landfill is directly to your left.  Just as you open your mouth to say “Let’s get outta here,” your GPS chimes in “You have arrived”.

Yes, this may be the worst case scenario. But it can happen when home buyers search for homes without using localized data as a critical decision support tool. Today, home buyers have become so committed to shopping for homes based on localized data, some are even willing to build the localized data themselves. For real estate agents and brokerages, having localized data on your platform will bring potential home buyers to your listings, engage them through personalized searches, and convert them into satisfied, fiercely loyal brand advocates.

To discover all that localized data can do, not only for your home buyers, but for you, reach out to us.

The post Localized Data: Knowing a Listing Inside and Out appeared first on OnBlog.


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