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Approaches to Narrowing Search Results

I wrote an article recently about helping buyers find the perfect home more efficiently. Though I still don’t think finding “the absolute perfect home” is something buyers are clamoring for in an online search experience, I do believe there to be immense value in helping buyers discover the properties relevant to them (without wading through crap that’s not).

There’s a few approaches to narrowing a search:

  • Standard filters — almost every real estate search website has basic search parameters such as price, beds, baths, square footage, and home type.
  • Advanced filters – full text keyword search, Max HOA, price reduced, waterfront, days on market, WalkScore, etc
  • AI — Do you think we’re going to get to a point where AI can pick the best house for a specific buyer? If I’m spending 500k+, I’m not sure I’d be okay with “this algorithm thought house X is the house that fits me best based on y and z assumptions” (I wouldn’t trust it). I know many brokerages and vendors are working with this technology. I’d love to hear about a few specific approaches (and learnings) in the comments.
  • Lifestyle based curation — Modern homes, lake front, pent houses, mountain cabins, golf course properties, historic, etc
  • Manual curation — this is what AgentFolio/Buyfolio was doing, and most agents/brokers do manually today with a combination of the MLS, email, and text. I still believe there is a future where agents are the center of the search experience.

How are you helping your buyers avoid the crap they don’t care about?

About Drew Meyers

Founder of Geek Estate Blog / Geek Estate Labs. Zillow Alum. Travel addict & co-founder of Horizon. Social entrepreneurship & microfinance advocate. Fan of Red Hot Chili Peppers and Kiva.

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