According to Local Logic’s 2025 Consumer Engagement Data, one in four U.S. homebuyers considered a home across state lines last year, and off-market demand now accounts for the majority of home-hunting activity in most major U.S. cities.
Infinity and Local Logic believe the industry’s response to spreading buyers across a dozen tabs in a browser and expecting them to figure it out is no longer working.
The two proptech companies recently announced a partnership that will embed Local Logic’s neighborhood intelligence directly within Infinity’s AI-powered listing platform.
Premium Infinity members now have access to Local Logic’s hyperlocal data layer, including walkability, schools, transit, demographics, lifestyle scores, local market context, and more, in the same experience they already have when touring properties and chatting with the platform’s artificial intelligence.
The companies said brokers and real estate organizations can use the tool to combine local expertise, trusted data, and AI-powered engagement to enhance marketing, improve lead quality, and deliver more value across the customer journey.
“The future of real estate requires evolving the listing experience and creating access to context,” said Infinity CEO Lisa Nickerson. “Today’s buyers want to understand what life will be like in and around their home. Agents remain central to that experience, but they need better tools and deeper intelligence to guide their decisions.”
Designed for agent-consumer conversations
Local Logic, which serves Redfin, Realtor.com, REMAX International, Engel & Völkers, Cotality and others, says it receives about 1 billion views per month across the platforms where its scores are displayed.
The company takes a granular data approach that goes beyond what most neighborhood intelligence offers. As Audrey Whittington, Executive VP of Sales and Strategic Partnerships at Local Logic, explains, a basic gait score can be a simple proximity algorithm. For example, if a Starbucks is across the street, you will receive a high walk score.
Local Logic takes a completely different view and uses a weighted algorithm.
“So that proximity part might account for 30 or 40 percent of the score,” Whittington told Inman. “But we also take into account the presence of crosswalks, traffic volume, tree canopy, noise levels, proximity to fire and police stations, etc. There are thousands of data points in that matrix.”
Local Logic includes descriptions of every county, city, and neighborhood in the United States and Canada. They also have value drivers. “We know what adds value to neighborhoods and neighborhoods,” Whittington said. “That’s the data science approach.”
But, at least historically, the amount of raw data doesn’t necessarily translate to a better consumer experience.
“When we did our market report three or four years ago, we looked at every market report out there and talked to agents and consumers,” Whittington said. “The consistent feedback was, ‘This is a data dump.’ Even people who are deeply involved in data will receive a 75-page report and say, ‘What should I do with this?’
Local Logic then went back to consumers and built an entire report around answering four specific questions they asked. There were no complicated pie charts, Whittington said. Instead, it’s designed around meaningful conversations between agents and consumers.
“You can use a graph to say, ‘Here’s why we want to price homes this way,’ or ‘Here’s what’s driving value in this area,'” Whittington says.
1 mile can change everything
The detailed neighborhood intelligence data provided by Local Logic is especially helpful for out-of-state homebuyers, who Nickerson says there are a lot of them right now.
“But to be honest, the out-of-state framework is more of a proxy for something broader,” Nickerson told Inman. “We all move a little bit out of state when we move.”
Whittington elaborated on the idea by telling the story of how she moved a mile away from her home of 24 years.
“I had no idea what it was like to actually live there. It was only a mile away,” she said. “The difference was stark. I moved from a suburban, young children’s school estate to what I would describe as a millennial estate, in the same town, miles apart.”
That’s what’s so interesting about neighborhood data, Whittington said. Going half a mile in one direction is a completely different demographic than going to the nearest neighborhood line.
“In a big city, things can change dramatically from street to street,” Whittington said.
decision-making layer
For Nickerson, the most important part of the Infinity and Local Logic partnership is what she calls the “decision layer.”
“It’s not about how much information you can give someone; it’s about whether you have the right information and answers to specific questions,” she said. “And we think this is just the beginning of where this is going.”
Nickerson gave the example of his daughter looking at apartments in Burlington, Vermont. She wanted to know how they were located relative to campus, how safe the neighborhood was, and what was around them.
“Consumers want those answers, and they want them right away, not after filling out a form and waiting for an agent to call,” Nickerson said.
Whittington feels strongly that this type of neighborhood information data should be available to renters.
“Renters are treated like second-class citizens compared to homebuyers, in part because we don’t have a fee structure that creates the same incentives,” she says. “But we know multifamily spending is huge, rents are high, people are staying longer, and buyers are buying later.”
Whittington said renters’ questions need the same quality of answers. She said the experience of walking into a leasing office to check out a standard unit and make a reservation was broken.
“We want to be able to say, ‘We know you care about where your grocery store is. We know you want to be able to walk to restaurants. Let’s answer those questions up front, just like we would when selling a million-dollar home,'” Whittington said.
Premium members only live
Local Logic’s neighborhood intelligence data is publicly available to Infinity Premium members. Nickerson said premium membership typically costs $49 a month unless there is a special arrangement with MLS, like in Miami.
“When you go to Matrix in Miami, you actually see Local Logic data as part of the Matrix experience,” says Whittington. “That means it’s the same data throughout the workflow. That’s really important. You have one set of data for one context, and you don’t need different data from different providers. Agents and consumers trust the data, and that trust is inherited.”
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