🏷️ The Price-Cut Conversation
Wednesday, October 14, 2026 · 9:00 AM ET · 60 min
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The Price-Cut Conversation — Complete Workbook
Bogen.AI
Edmund's Mastermind · Live Session + Complete Workbook
The Price-Cut Conversation — AI Builds the Market Evidence So You Keep the Listing and the Seller

The Price-Cut Conversation: AI Builds the Market Evidence So You Keep the Listing and the Seller

The evidence file, the decision brief, and the second launch — prepared by Edmund Bogen

Sellers argue with opinions. They don't argue with what buyers actually did. This session builds the system that turns every piece of showing feedback and every move by competing listings into a week-by-week case the seller can see — then tests when a price change is really warranted, lays out every option with the net proceeds, and proves afterward whether the change worked. Built on verified August 2026 data, with local tie-backs from Denver to Hartford.

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The Evidence File Code showing feedback into reasons, track what competing listings did, and send the update that fits the listing's stage.
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The Decision Brief The trigger test, five options with net proceeds, the search-range check, and the emotion-first conversation.
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The Second Launch Bring back the buyers who passed at the old price, by the reason they passed — and prove the change worked in 14 days.
Wednesday, October 14, 2026
9:00 AM ET · 60 Minutes
Live on Zoom
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Session Includes: 🗂 The Evidence File | 🧮 The Decision Brief | 🚀 The Second Launch | 📘 The Complete Workbook PDF
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Evidence first. The seller decides — then we prove it.
The 3 Systems

⚡ Why This Session Matters

Price cuts are common again, everywhere you look. In August 2026, 20.4% of active listings on Realtor.com had a price reduction, Redfin counted 57.9% more sellers than buyers — the strongest buyer's market in its records back to 2013 — and NAR reported a 4.9-month supply of homes for sale, its highest level in over ten years.

  • It isn't one national story: 31.4% of Denver listings took a price cut in August, versus 10.1% in Hartford — your seller needs evidence from their own market
  • Asking prices are down while sale prices are still up — sellers are adjusting what they ask to what buyers will pay, and that's the conversation

You don't need a harder conversation. You need better evidence — built before you ever sit down.

🎯 What You'll Learn

We will master 3 systems live, together:

1️⃣ The Evidence File — code every piece of showing feedback into reasons, track what competing listings did week by week, and send the update that fits the listing's stage

2️⃣ The Decision Brief — the trigger test for when a price change is warranted, five options with net proceeds, the search-range check, and the emotion-first conversation

3️⃣ The Second Launch — re-engage everyone who passed at the old price, by the reason they passed, and prove the change worked with a 14-day scorecard

Register for the Session
📊

The Market Right Now — Verified August 2026 Data

Price cuts are common again, but sale prices are still rising nationally — and the picture changes city by city

MeasureFigureSource
Listings with a price cutRealtor.com 20.4% of active listings (level with a year ago) · Redfin 20.8% (four weeks ending Sep 6) · Zillow 26.3% — different measures, same messageRealtor.com Sep 2; Redfin Sep 10; Zillow Sep 8, 2026
Median list price$424,500, down 1.3% year over year — the 10th straight month of annual declinesRealtor.com, Sep 2, 2026
Median sale price$429,100, up 1.6% year over year — the 38th straight month of annual gainsNAR, Sep 10, 2026
Supply1.62 million homes for sale; 4.9 months' supply, "its highest level in over ten years"NAR, Sep 10, 2026
Sellers vs. buyers57.9% more sellers than buyers — the strongest buyer's market in records back to 2013; 36 of 49 metros are buyer's marketsRedfin, Sep 10, 2026

Your Market Is Not the National Average

MetrosSignal
Denver 31.4% · Portland, Ore. 30.5% · Salt Lake City 30.3%Highest share of listings with a price cut (Realtor.com)
Hartford 10.1% · New York 10.2% · Buffalo 11.1%Lowest share of listings with a price cut (Realtor.com)
Nashville 139% · Miami 138% · Houston 131%Strongest buyer's markets — % more sellers than buyers (Redfin)
Nassau County, NY −28% · Newark −21% · Milwaukee −18% · San Francisco −12%Seller's markets — % fewer sellers than buyers (Redfin)
Austin −8.1% · Tampa −5.6% · Memphis −4.1%Largest drops in list price per square foot (Realtor.com)

What the Research Says About Price Changes

  • "Homes with large percentage changes in list price take longer to sell and ultimately sell at lower prices." — Knight, Real Estate Economics (2002)
  • In Zillow's 2016 analysis, homes that sold almost immediately went for about 1% below list; after about two months, 5% below; the longest-listed (about 11 months) sold 12% below.
  • Redfin estimates that overpricing a home by 10% or more can add more than a month on market (March 2026).

Asking prices are down; sale prices are up. Never tell a seller "home prices are falling nationally." Freddie Mac's 30-year fixed rate averaged 6.76% as of Sep 10, 2026 (6.35% a year ago). These reports update weekly and monthly — NAR's September report is due October 13 — so pull the latest for your area before every seller meeting.

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System 1 — The Evidence File

Not a weekly "we're working hard" report — a file of evidence that builds toward a decision

The Feedback Codes

CodeWhat It Sounds LikeWhat It Points To
PRICE-FOR-VALUE"Nice, but not at that price." "They bought something bigger for the same money."A pricing question
CONDITION"Needs a new kitchen." "Worried about the roof."A fix, a credit, or price
LAYOUT / SIZE"Bedrooms too small." "No office."The wrong buyer pool — not always price
LOCATION / LOT"Too close to the busy road." "Yard too small."Price, since it can't change
PHOTOS DIDN'T MATCH"Looked bigger online."A marketing fix first
NOISE / UNCLEAR"Just looking." "Nice home." No response.Follow up (Prompt 1.2) — don't count it
Prompt 1.1 — The Feedback Evidence Coder

I'm listing [ADDRESS], listed [DATE] at [LIST PRICE]. Below is every piece of showing feedback so far, pasted exactly as received, with the date and whether the buyer came back for a second showing or asked for disclosures: [PASTE FEEDBACK]. Code each item into exactly one primary reason: PRICE-FOR-VALUE, CONDITION, LAYOUT/SIZE, LOCATION/LOT, PHOTOS DIDN'T MATCH, or BUYER-SPECIFIC/NOISE (for example "bought another home", "just looking"). Give each item a seriousness weight: HIGH (second showing, disclosures requested, offer discussed), MEDIUM (first showing, specific comments), LOW (vague or no comment). Build a table by week: count of each reason, weighted count, and one direct quote per reason. End with one sentence in this form: "Of [X] serious buyers, [Y] pointed to [reason]." Do not infer a reason the feedback does not state — mark it UNCLEAR instead.

Prompt 1.2 — The Vague-Feedback Follow-Up

Write a short, friendly text I can send to the showing agent who left this feedback on [ADDRESS]: "[PASTE VAGUE FEEDBACK]". Ask one specific question that gets a usable answer — whether price, condition, or layout was the reason their buyer passed, and what would have made them take a second look. Under 45 words, no pressure, easy to answer in one line.

Prompt 1.3 — The Competitor Movement Ledger

Here is my listing: [ADDRESS, BEDS/BATHS, SQ FT, LIST PRICE, DAYS ON MARKET]. Here are the competing listings I'm tracking, with what changed each week — status, price changes, days on market, and new listings that entered the set: [PASTE MLS DATA FOR EACH WEEK]. Build a week-over-week ledger: which competitors went pending (at what days on market and after what price changes), which new listings came in at or below our price, and where we now rank on price per square foot within the active competition. Then write three plain-English sentences for the seller that describe what buyers chose instead of our home, citing the listings by address. State only what the data shows; do not predict what buyers will do next.

Prompt 1.4 — The Stage-Based Seller Update

Write this week's seller update for [ADDRESS]. Listing stage: [LAUNCH WINDOW / EVIDENCE PHASE / DECISION POINT / AFTER A PRICE CHANGE]. Inputs: [PASTE the coded feedback table from 1.1 and the ledger summary from 1.3, plus activity: views, saves, showings, second showings]. Match the stage: launch window — two or three short sentences; evidence phase — the trend so far and what we're watching; decision point — invite the seller to a 30-minute decision meeting to review options together; after a change — what changed in activity since. If nothing happened this week, say so plainly and explain what that tells us. Warm, factual, under 180 words, no marketing language, no promises.

Count reasons, not opinions. "Three of the five buyers who came back for a second look said price-for-value" is evidence. "I think we're a little high" is an opinion — and sellers argue with opinions.

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System 2 — The Decision Brief

Know when a price change is the right call — and show every option with the math

Price Signal or Something Else?

What You're SeeingPoints ToFirst Move
Strong online views and saves, few showingsPrice or photosCheck the photos against the home, then the price range
Showings, but no second showingsPrice-for-value or conditionRead the coded feedback (Prompt 1.1)
Second showings, no offersPrice, or a specific objectionAsk the second-showing agents directly (Prompt 1.2)
Weak views and savesPrice range, photos, or first photoSearch-range check (Prompt 2.3) and a photo review
Competitors going pending around youBuyers chose better valueCompetitor ledger (Prompt 1.3)
Feedback mostly layout / sizeWrong buyer poolMarketing to the right buyer before price
Prompt 2.1 — The Price-Change Trigger Test

Using my listing's own numbers, tell me whether a price change is NOT YET warranted, worth WATCHING, or warranted NOW. Inputs: days on market [X]; showings per week [LIST BY WEEK]; second showings [X]; online views and saves by week [PASTE]; the coded feedback summary [PASTE]; the competitor ledger summary [PASTE]; months of supply or absorption for this price range and area from my MLS [PASTE, with the date and source]. Show the reasoning as a short checklist: which signals point to price, which point to something else (condition, photos, marketing, access), and which single signal would change your verdict. If the data points to a non-price problem, say so and name it. Do not use any benchmark that I didn't provide.

Prompt 2.2 — The Options-and-Net Decision Brief

Build a one-page decision brief for my seller at [ADDRESS]. Current list price [X]. Seller's payoff and costs to sell as they gave them to me [PASTE: mortgage payoff, commission terms, estimated closing costs]. Monthly carrying costs [PASTE: mortgage, taxes, insurance, HOA, utilities]. Recent comparable sales and competing actives [PASTE]. Lay out these options side by side: (A) hold the price and fix a named non-price issue; (B) a small price step; (C) a price that moves into the next buyer search range; (D) keep the price and offer a concession or rate buydown instead; (E) withdraw, prepare, and relaunch later. For each: the list price, an estimated net-to-seller range using only my inputs, the assumptions behind it, the extra months of carrying costs it assumes, and "what has to be true for this to work." Label every figure as an estimate, not a guarantee, and say the seller should confirm net figures with the title or escrow company and their tax or financial advisor. The seller decides; recommend nothing unless I ask.

Prompt 2.3 — The Search-Range Check

My listing is at [LIST PRICE]. Buyers on the major portals and in my MLS search using price filters. Here are the price-filter steps I see on [PORTAL NAMES] and in my MLS for this range: [PASTE the minimum/maximum dropdown steps]. Using only those steps, show which buyer searches our current price appears in and misses, and which nearby prices would put the home into a new search range. Show it as a simple table. Remind me to confirm the filter steps myself because they differ by portal and change over time.

Prompt 2.4 — The Mid-Listing Reset (No Price-Review Agreement Was Made)

I took this listing at the seller's price and we never agreed on when we'd review it. We're now at day [X]. Here's the evidence file: [PASTE outputs from 1.1, 1.3, and 2.1]. Here's what I know about the seller's goals and timeline: [PASTE]. Write the opening of the conversation — no "I told you so," no blame. Open by restating their goal and timeline, show the evidence in the order the seller will find most convincing, ask what they're seeing and feeling, and then propose a new review agreement from here: the signals we'll watch, the date we'll look again, and the decision we'll make if the signals don't change. Give me the words for the first 90 seconds and three questions to ask. Plain spoken language.

Prompt 2.5 — The Emotion-First Opener

Before any numbers, help me understand what's really behind this seller's resistance. Here is what they've said, in their words: [PASTE]. Here's their situation: [PASTE — e.g. buying their next home, relocation, divorce, inherited property, recent renovation spend]. List the two or three most likely concerns underneath (for example: the net they need for the next home, what they paid or spent on improvements, feeling that their home is being judged, a disagreement between decision-makers, months already lost). For each, give one sentence that acknowledges it honestly and one question that invites them to say more. Then play the seller in a short roleplay so I can practice — stay in character until I type "debrief," then score my listening, clarity, and whether I pushed too soon. Do not base anything on the seller's age, race, color, religion, national origin, sex, disability, or familial status.

The 30-Minute Decision Meeting

MinutesStepWhat Happens
0–5Their goalRestate what they told you they need — the net, the timeline, the next move. Ask if anything has changed.
5–12AcknowledgeName the concern underneath (Prompt 2.5). Listen more than you talk.
12–20The evidenceCoded feedback and the competitor ledger — what buyers said and what they chose instead.
20–27The optionsThe decision brief (Prompt 2.2). Every path, with the math.
27–30The decisionThe seller chooses — then set the review agreement and the 14-day scorecard date.

What not to say: "The market is telling us." "Your house is overpriced." "Other agents told me." Each one puts the seller on defense. Point to what buyers did, not to what anyone thinks.

🚀

System 3 — The Second Launch

The fastest buyers for the new price are the ones who already walked through the door at the old one

Prompt 3.1 — The "You Already Saw It" Segmenter

We changed the price on [ADDRESS] from [OLD] to [NEW] on [DATE]. Here is everyone who interacted with the listing at the old price, with what they did and, where known, why they passed: showing agents and their feedback [PASTE], open-house sign-ins who agreed to follow-up [PASTE], and buyers in my own database who viewed or saved it [PASTE]. Group them by the reason they passed — PRICE, CONDITION, LAYOUT/SIZE, UNKNOWN — using only the feedback given. Write one short message for each group: price-passers get the new price and what it now competes with; condition-passers hear about any fix that was actually made (skip if none); layout/size passers get no message; unknown gets a brief, low-pressure note. Keep each under 70 words. Only contact people who opted in or whom I'm permitted to contact, and group people only by what they did with the listing.

Prompt 3.2 — The Price-Change Scorecard

Baseline for the 14 days before the price change on [ADDRESS]: [PASTE views, saves, showings, second showings, offers]. The same metrics for the days since the change: [PASTE]. Build a before-and-after scorecard table and a three-sentence verdict for the seller: the change worked, partly worked, or tells us the issue isn't price — with the one metric that shows it. If there isn't enough time or data yet to judge, say so and name the date we'll check again.

Prompt 3.3 — The Listing-History Honesty Check

I'm considering [a price change / withdrawing and relisting / a new MLS number] for [ADDRESS] in [MLS NAME]. Explain in plain language what I need to confirm in my MLS's rules about days-on-market counting, relisting, and how the change will show in the listing history on portals. Give me the exact questions to ask my MLS support desk. Do not state what my MLS's rule is — tell me what to verify. Remind me that the goal is accurate information for buyers, not resetting the clock to hide time on market.

Who Hears What

GroupMessageWhy
Passed on priceThe new price and what it now competes withTheir objection just changed
Passed on conditionThe fix that was made — only if one wasA price change alone doesn't answer them
Passed on layout / sizeNothingThe home still doesn't fit — don't spam them
UnknownA short, low-pressure noteInvites the real reason
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The Full Cycle on One Listing

Where each prompt fits, from launch day to the 14-day scorecard

StagePromptsWhat the Seller Sees
Launch window1.1 coder · 1.2 follow-up · 1.4 updateShort notes; early feedback, coded from day one
Evidence phase1.1 · 1.3 ledger · 1.4 updateThe weekly tally and what competing listings did
Decision point2.1 trigger test · 2.3 search rangeAn invitation to a 30-minute decision meeting
The meeting2.5 opener · 2.2 brief · 2.4 reset (if no agreement exists)Their goal, the evidence, every option with the math — their decision
Change day3.3 history check · 3.1 segmenterA clear plan for who hears about the new price
Days 7 and 143.2 scorecard · 1.4 updateProof: did it work, partly work, or point elsewhere?
📚

Already in Your Prompt Library

This session builds on earlier workbooks instead of repeating them

When You Need…Use This PromptFrom the Workbook
The pricing conversation at the listing appointmentThe Five-Act Pricing Story; The Pre-Agreement FrameworkThe AI Pricing Story (Jul 29, 2026)
Refreshed MLS remarks, a note to agents, a "new opportunity" postThe Repositioning StoryThe AI Pricing Story (Jul 29, 2026)
A weekly health check of price, showings, and competitionThe Monday Price Health CheckThe AI Pricing Story (Jul 29, 2026)
A full photo review and ideal photo orderThe photo autopsyThe Expired Goldmine (Aug 12, 2026)
A description rewrite for the relaunchThe copy autopsyThe Expired Goldmine (Aug 12, 2026)
A full marketing and activity report for the sellerThe "Don't Fire Me Report"Never Lose a Listing Again (Sep 3, 2025)
A "just reduced" short videoBrief #3 — Price DropThe 60/25/15 Reel Engine (Jun 3, 2026)
A seller who says ChatGPT priced the home higherThe Local Truth LayerMy Client Asked ChatGPT (Aug 26, 2026)
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Guardrails — Stay Accurate, Stay on the Seller's Side

Evidence only persuades if every number is right and every option is honest

QuestionWho Answers It
What will the home likely sell for?You — as a market analysis, not an appraisal. NAR Standard of Practice 1-3: "REALTORS®, in attempting to secure a listing, shall not deliberately mislead the owner as to market value." The same honesty applies every time you recommend a change.
What is the home worth for a loan?A licensed appraiser. Federal law bars a broker price opinion from being the primary basis for valuing a principal residence for a purchase mortgage (12 U.S.C. §3355). Some states require a not-an-appraisal disclaimer on a CMA — Texas does — so check yours.
What will the seller net?Estimates only. The title or escrow company confirms; tax questions go to the seller's own advisor.
Should the price change?The seller. Always.

Honest Marketing

  • NAR Article 12 requires REALTORS® to "present a true picture in their advertising, marketing, and other representations," and Standard of Practice 12-10 prohibits "misleading images" — which covers AI-written and AI-edited marketing.
  • California (AB 723, Business & Professions Code §10140.8): a digitally altered listing image needs a disclosure and a link to the original, unaltered image. Check your own state and MLS rules.
  • Never relist to hide days on market — confirm what your MLS allows (Prompt 3.3).
  • Before pasting into AI, remove buyer names and contact details from feedback and sign-ins, and never paste the seller's loan account numbers or Social Security number.

Fair housing: the Fair Housing Act (42 U.S.C. §3604(c)) makes it unlawful to publish any statement or advertisement that "indicates any preference, limitation, or discrimination based on race, color, religion, sex, handicap, familial status, or national origin." Follow up with people based on what they did with the listing, never who they are, and screen AI-written relaunch copy. HUD withdrew its 2024 digital-advertising guidance effective September 17, 2025 — the statute still applies.

📅

Your 30-Day Plan

Install the system on one active listing, then make it the default for every listing you take

WeekActions
Week 1 — Start the filePick one active listing and gather every piece of feedback so far · Run Prompt 1.1 and send Prompt 1.2 follow-ups on vague feedback · Save all 12 prompts in your prompt library
Week 2 — Track the marketStart the competitor ledger (Prompt 1.3) with this week's MLS snapshot · Send a stage-based update (Prompt 1.4) · Check your portals' and MLS's price-filter steps (Prompt 2.3)
Week 3 — Build the briefRun the trigger test (Prompt 2.1) · Build a decision brief (Prompt 2.2), even if it's not time yet · Roleplay the conversation with Prompt 2.5
Week 4 — Make it defaultAdd feedback coding and the weekly ledger to your listing checklist · Add a review agreement to every new listing, and Prompt 2.4 for current ones · After any price change: segmenter (3.1) the same day, scorecard (3.2) at day 14

The promise: evidence first. Options with the math. The seller decides. Then we prove it.

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Download the Complete Workbook

All 12 prompts, the worksheets, the market data, and every source — in one PDF

The complete workbook includes the verified market page with local tie-backs, the feedback codes, the weekly evidence ledger, the decision brief worksheet, the review agreement, the 30-minute decision meeting, the 14-day scorecard, the guardrails, and the 30-day plan.

Download the Workbook (PDF)
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Sources and Responsible Use

Verified September 15, 2026 — market data changes monthly, so pull the latest release for your area before a seller meeting

Market Data

  • Realtor.com, August 2026 Monthly Housing Trends Report — press release and research page (September 2, 2026)
  • Redfin, "It's Now The Strongest Buyer's Market on Record, Driven by the Sun Belt" (September 10, 2026); Redfin weekly housing market release (September 10, 2026); Redfin on overpricing and time on market (March 13, 2026)
  • Zillow, August 2026 Market Report (September 8, 2026)
  • National Association of REALTORS®, Existing-Home Sales for August 2026 (September 10, 2026)
  • Freddie Mac, Primary Mortgage Market Survey (September 10, 2026)

Research

  • Knight, J. R. (2002). "Listing Price, Time on Market, and Ultimate Selling Price: Causes and Effects of Listing Price Changes." Real Estate Economics 30(2), 213–237.
  • Zillow Research, "The Price of Overpricing: How Listing Price Impacts Time on Market" (May 24, 2016)

Rules and Guardrails

  • National Association of REALTORS®, 2026 Code of Ethics and Standards of Practice — Articles 1, 2, 10, 11, 12; Standards of Practice 1-3, 10-3, 11-1, 12-10
  • 12 U.S.C. §3355; 42 U.S.C. §3604(c); Federal Register, FR Doc. 2026-06624 (April 6, 2026)
  • California AB 723 (2025), Business & Professions Code §10140.8
  • Texas Appraiser Licensing and Certification Board, "When Talking About 'Value', Choose Your Words Carefully"

Educational resource: this workbook is not an appraisal and not legal, tax, or financial advice. AI output must be checked against your MLS and the seller's own documents, net proceeds must be confirmed with the title or escrow company, and the pricing decision always belongs to the seller. Always follow your broker's policies, your MLS rules, and fair housing law.