Hi everyone, I appreciate any help you can give here. If you think there’s a better place to post this, that would be incredibly helpful, as well. Thanks in advance!<\/p>\n
The Ask<\/strong><\/p>\n Now, here’s the situation: I’m working on an analysis of the workloads of some real estate-specific “groups” in NYC<\/strong>. I’m trying to find datasets that might help me better understand and quantify the time and effort put into menial and repetitive tasks that could be automated.<\/p>\n I’m particularly interested in the apartment rental market<\/strong>, but sales data would also be helpful here.<\/p>\n The Problem<\/strong><\/p>\n Here are some of the questions I’m trying to answer:<\/p>\n How many inquiries does a typical listing receive across all channels (phone, email, text, listing site — e.g. StreetEasy, Zillow — etc.) from listing to close? (An “inquiry” being defined as a potential lead doing something to initiate communication with an agent or the property like asking a question, requesting a tour, etc.<\/em>) How many back-and-forths does each channel receive — i.e. how many messages or phone calls, on average, does each inquiry (lead) yield? (This is essentially a follow up to the first question. For example, how many emails are sent by both parties before a showing schedule is confirmed?<\/em>) How much time is spent on non-transaction related communications like answering basic questions, coordinating with owners to set up a showing (scheduling), sending requests for information or follow up, etc.? (This is essentially just the former questions represented in a different dimension: time instead of volume.<\/em>) <\/p>\n Target Cohorts and Parameters<\/strong><\/p>\n As I mentioned, I’m looking for data specific to New York City and the rental market; however, data from other markets could be helpful so I’m open to other markets if there’s a change I might be able to infer data about NYC from it. For example, national data could be helpful in at least setting some anchors\/context.<\/p>\n The data I’m seeking should be specific to:<\/p>\n Real estate agents<\/strong> (brokerage-level stats could be subbed in potentially<\/em>) Buildings\/Property Groups<\/strong> (loosely, could be property managers or management companies<\/em>) <\/p>\n What I’ve tried<\/strong><\/p>\n This is an opaque industry, at best. While I’ve found some indirect data from sources like the NAR and StreetEasy (see below), I really haven’t had any luck finding anything.<\/p>\n Here are some of the closest examples I’ve found (with some notes roughly outlining relevant data I could try to use):<\/p>\n 2022 Home Buyers and Sellers Generational Trends Report<\/a> (NAR; industry report) Exhibit 4-8<\/em><\/strong> (contact methods and response rate for home buyers) maybe. It\u2019s somewhat unclear how to read, but there might be value in this 2023 Home Buyers and Sellers Generational Trends Report<\/a> (NAR; industry report) Same as for the 2022 report <\/p>\n Most of the other sources I’d have thought would have something (StreetEasy, REBNY) have turned up woefully inadequate. It just doesn’t seem to be something they track (or at least release publicly).<\/p>\n Asks (summary)<\/strong><\/p>\n Recommendations on datasets that might be helpful to me. Ideas about how I might reframe this and find data indirectly — e.g. number of inquiries an average renter sends before finding an apartment. <\/p>\n Thanks again for any help here! Really appreciate it.<\/p>\n<\/div>\n submitted by \/u\/humanatwork <\/a>
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