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- 🟢 How to Create a Local Market Analysis for Delisted Homes in Mid-Year 2025
🟢 How to Create a Local Market Analysis for Delisted Homes in Mid-Year 2025
Inside: Sellers Are Pulling Homes Off the Market & Why Closed-Mindedness Fails in Unpredictable Markets
Maaret Forst
July 14, 2025
In partnership with
Table of Contents
FROM CALM AGENT DESK
Why Closed-Mindedness Fails in Unpredictable Markets
I’ve always believed collaboration is key to progress. Open-minded leadership transforms industries. Real estate, historically fragmented, benefits from this approach. I welcome differing perspectives, ideas, and insights because they're essential.
Recently, I listened to Mike DelPrete's podcast, "Context," featuring Varun Krishna, CEO of Rocket Mortgage. Their conversation emphasized the strategic importance of open-minded collaboration. Krishna highlighted the need to break down traditional silos and connect the fragmented parts of our industry. He suggested that the competitive nature of real estate today can hinder progress. Cooperation, shared insights, and collective innovation can positively shape our future.
Today, with an unpredictable housing market where homes are being delisted as sellers resist price reductions, adaptability is increasingly important. Krishna identified adaptability as a core competency, encouraging industry leaders to embrace technological advancements and AI. He explained that AI can reduce friction, streamline workflows, and simplify processes.
The takeaway is clear. Evolving our industry involves being open to new ways of working and collaborating without ego. Let's lead by inviting change, engaging openly, and considering innovations like AI to enhance our service to buyers and sellers alike.
My challenge to you: This week, invite a colleague for coffee or schedule a call solely to exchange insights. Commit to exploring one idea outside your usual comfort zone. Adaptability begins with openness.
REAL ESTATE NEWS
Sellers Are Pulling Homes Off the Market Rather Than Lowering Prices
Across the Nation, home sellers are increasingly delisting properties rather than reducing asking prices.
Key insights from Realtor.com’s latest data include:
Delistings surged by 47% nationally in May compared to last year.
Markets in the South and West, especially Phoenix, Austin, and Denver, had the highest rates of delisting.
Price reductions reached record highs in June, affecting around 20–21% of listings—the highest since 2016.
Median listing prices remain relatively stable around $440,950, indicating sellers may still hold peak-market expectations.
Active inventory rose 29% year-over-year in June, surpassing one million homes nationally for two consecutive months.
Median days on market extended to 53 days, five days longer compared to last year, pointing to a slowing pace of sales.
These trends reflect an evolving market that's gradually becoming more favorable for buyers, if only sellers would adjust their expectations!
AI PRODUCTIVITY
Creating a Local Market Analysis for Delisted Homes in Mid-Year 2025
Follow these steps to quickly produce a detailed local market analysis with the help of AI:
Log in to your local MLS.
Pull data for a specific area with list dates starting from 01/01/2025. Include Active, Pending, SOLD, Withdrawn, Expired, and Cancelled listings. You can highlight hyperlocal expertise by using map-based or neighborhood searches rather than broad zip codes or county-level searches.
Download the data as a CSV file.
Upload the CSV file to ChatGPT or your preferred AI platform.
Use the PROMPT for the Delisted Home analysis below.
Use the insights generated by AI to create targeted content and enhance your market updates. These insights can also be helpful for seller conversations.
Prompt: Analyse Market Data for Delisted Homes
You are an analytical assistant specializing in real estate market data. The user will upload a CSV file with sales data exported from an MLS. Your task is to analyze delisted homes in the dataset. Delisted homes are defined as those with a Status of C (Cancelled), W (Withdrawn), or E (Expired).
When you begin, verify that the uploaded CSV includes a column that clearly identifies listing status, such as a column labeled “Status.” If the column is missing or unclear, ask the user to clarify which column to use. Do not assume any field names or data beyond what is present.
Your response must include three components.
1. Respect data integrity by using only the data provided in the spreadsheet. Do not invent, infer, or hallucinate additional information. Infer all relevant market characteristics, such as property type, price ranges, or sub-locations, directly and only from the spreadsheet columns. If critical data points appear to be missing or inconsistent, note this and suggest the user review or correct their input file.
2. Provide compelling market insights. Identify and summarize one or more factual insights about delisted homes based on the provided data. Write a clear three to four sentence narrative that communicates the insight in a persuasive but strictly factual tone. Cite a specific, relevant data point such as median price of delisted homes or proportion of delisted to sold that supports your insight and helps the audience understand the market implications. Avoid exaggeration, speculation, or outside assumptions.
3. Include data visualization. Create two to four clear, concise charts or graphs illustrating the key trends or patterns you identify in the data. Examples of useful visuals include the share of delisted versus sold homes, distribution of delisted home prices, average days on market for delisted homes compared to others, or map-based clustering if location data is available in the file. Use only the spreadsheet data. Do not supplement with external sources. Keep the visuals easy to read and focused on helping the intended audience quickly grasp what’s happening and why it matters.
Be flexible. Users may upload spreadsheets with different column names or slightly different structures. Always double-check column definitions and clarify with the user if needed before proceeding. If any of the required information for analysis is missing, stop and ask the user for clarification or a revised file rather than assuming.
Calm Agent Negotiation ChatBOT
Try the Calm Agent Real Estate Negotiation ChatBOT, which offers negotiation advice for real estate agents derived from Chris Voss's "Never Split the Difference" and Oren Klaff's "Pitch Anything."
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