Episode Summary:
Meet today's guest, Nate Joens, Co-Founder of "Structurely," a technology company that builds AI based out of Ames, Iowa. Nate also grew up in Des Moines, Iowa.
In this episode, I sit with Nate, discussing how to use AI in Real Estate, benefits and particular areas of functionality, and future expectations for AI in Real Estate.
Top Takeaways:
"As much as I might say email is dying, I think that the combination of text and email work really well together."
- [Nate Joens]
"Messaging is really eating the world, and you just need to be present where your customers are; you don't know where that might be, though."
- [Nate Joens]
"All salespeople kind of give up on leads too early, and they are on to the next new lead."
- [Nate Joens]
"That's the real precipice of what Structurely is here to do; it's not to replace agents, It's not to replace ISAs, it's to augment the role."
- [Nate Joens]
"For every 100 leads a typical agent gets, one or two will turn into a transaction...you only need to close one or two more to have a massive increase in revenue."
- [Bill Risser]
Episode Highlights:
[00:36] Intro
[01:15] Introducing today's guest, Nate Joens.
[04:15] How did "Structurely" come about?
[16:03] Do customers often give you feedback?
[18:00] Text vs. Email
[20:10] The considerable opportunity in old leads.
[21:44] Success stories from users.
[24:05] What do you anticipate in the future with AI in Real Estate?
[28:28] About "impactfulai.org".
[33:40] What one piece of advice would you give a new agent?
[36:09] Outro
Episode Notes:
About "Structurely": Des Moines, Iowa, is where Nate grew up, and it is gradually becoming a mini tech hotspot. While finishing school, Nate started the company, Structurely with his friend since both of them had an interest in Real Estate and technology. After talking with many agents, they realized that most agents disliked the aspect of following up with leads, which is typically the most challenging aspect with any form of sales. Nate and his friend decided to solve the problem with technology.
This was around when chatbots were getting a lot of hype, and they decided to take advantage of this method. Although the amount of lousy publicity chatbots got due to people's bad experiences while conversing with them, the first goal was to ensure their chatbot conversations were human-like. Competitors often try to depict human conversations as better than their AI conversations. Still, the in-depth analysis showed that 99% of users do not think they are conversing with a chatbot.
Three main concepts to be defined for the chatbot to work included Slots, Context, and Intent. Building Structurely based on the framework using these concepts has been pivotal in creating human-like conversations. Additionally, the feedback from users or agents through a robust script customization product also helps the conversations grow in a more human-like fashion. It allows agents to customize conversations based on their individual preferred responses to different questions asked.
Although...
