Quo co-founders Naman Desai and Amit Patel both grew up in the real-estate world. Naman’s mother was a real-estate agent, so from a young age, he experienced the logistical nightmare property hunting can be for everyone involved.

After years of helping friends find apartments, they set about creating a technical solution that would focus on the good things about apartment searching. With experience in both tech startups and big corporations, Naman and Amit chose to dive deep into market research and focus group studies. They found the best part of apartment searching was having a friend help through the process. 

With relational support as a premise, Quo began as an apartment search concierge service, a basic service using agents to connect with clients looking for apartments over email. Experienced concierges would collate properties, book appointments, and make the process as smooth as possible for clients.

The Quo Mission and Challenge

Communicating back and forth via email became frustrating for the concierges and clients. “Email was valuable but ultimately inefficient. It wasn’t enough for us,” said Naman. They began testing with SMS and saw engagement and response times increase significantly. But they knew it was only a short-term solution.

“Plugging the concierges into an SMS system was good, but left other features frayed and hanging in the balance.We wanted to take full advantage of messaging, it’s a very organic behavior for people.”

— Naman Desai | Co-founder

“We had two big questions, how can we augment this messaging interface with some really useful tools that continue to drive engagement and conversion rates higher? And underlying this, what kinds of efficiencies can we create to make this a more scalable business model?”

Mobile message scheduling and reviewQuo didn’t want users wasting time on workflows that could be automated. With a design concept of, ‘let’s not recreate any wheels’, they undertook more market research and came up with a conversational business model. They set out to build something with its roots in conversational UI with efficiencies baked in.

After developing algorithms to automate scheduling and coordinate bookings, they then needed the conversational component to fit their unique criteria.

The Quo Solution Criteria

  1. Augmentable with tactical tools
  2. Scalable
  3. Freedom to customize and design efficiencies
  4. Full collaboration capabilities within a conversational UI

Quo Chooses Layer to Power a Conversational Business Model

“We looked at every messaging platform out there, but we wanted something that would allow us to inject that collaboration between agents and clients into the conversation, and that’s what ultimately led us to Layer.”
— Naman Desai

Fully branded conversation experienceWith the conversational product in full swing as a concierge tool, Quo began to peak the interest of dozens of real-estate agents, wanting to try the solution. They were successful to the point where they have now developed Quo into a full-fledged SaaS product, offered to real-estate companies. Quo is now operating across New York and Cleveland, cities whose different housing challenges are addressed by Quo’s ability to serve nuanced needs.

For Quo, messaging and scheduling automation are crucial for their New York real-estate agents. “By the time a viewing was coordinated over email, the apartment would be gone. Now, we automate the process as it happens.”

The team at Quo are focused on leveraging every efficiency afforded by technology, especially messaging technology, without losing that human element.

“Our goal is to provide a personalized solution to buyers, renters, sellers, and landlords alike, leveraging data, technology, and our real estate experience to save all parties time and frustration.”

— Amit Patel | CEO & Co-Founder 

Visit Quo to see their conversational business model in action.
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