Author Archives: Deb Siefkin

Your real estate clients aren’t hiring you to be yourself

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Authenticity opens the door. Broker-owner Deb Siefkin shares what actually carries the conversation when the decision gets difficult. Continue reading →

Communication isn’t the product. It’s the evidence

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Buyers aren’t choosing based on how you communicate, broker-owner Deb Siefkin writes. They’re choosing based on what your communication reveals. Continue reading →

The real reason agents stay stuck (even when they do the work)

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The answer isn’t always to do more, more, more, broker-owner Deb Siefkin writes. For real estate agents experiencing a slowdown, it may be time to do something different. Continue reading →

The housing market isn’t breaking. It’s being rebuilt in real time

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While the industry debates exposure, writes contributor Deb Siefkin, the structure of the market and how buyers find homes is being rewritten. Continue reading →

No one’s training new agents for this part of real estate

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One of the first things new agents need to know is how to help a client step back and think clearly about their real estate goals and challenges, broker-owner Deb Siefkin writes. Continue reading →

If you need to ‘add value’ at the end, you’re already behind

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Contributor Deb Siefkin writes that real estate agents need to add value right now to be relevant. Continue reading →

ChatGPT isn’t sabotaging real estate deals. It’s exposing how they’re made

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The agents who will remain effective amid the rise of AI are the ones who help clients understand how to make decisions before the answer ever matters, broker Deb Siefkin writes.  Continue reading →

Pre-listing prep matters more than where the listing goes live

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The real estate industry is focused on where listings appear, Deb Siefkin writes, but the real outcomes are decided long before that. Continue reading →

Real estate’s problem isn’t transparency. It’s interpretation

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Buyers have more access to data than ever before, new Inman contributor Deb Siefkin writes. What they don’t have is clarity on what the data actually means. Continue reading →