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.
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.
You don't need a harder conversation. You need better evidence — built before you ever sit down.
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 SessionPrice cuts are common again, but sale prices are still rising nationally — and the picture changes city by city
| Measure | Figure | Source |
|---|---|---|
| Listings with a price cut | Realtor.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 message | Realtor.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 declines | Realtor.com, Sep 2, 2026 |
| Median sale price | $429,100, up 1.6% year over year — the 38th straight month of annual gains | NAR, Sep 10, 2026 |
| Supply | 1.62 million homes for sale; 4.9 months' supply, "its highest level in over ten years" | NAR, Sep 10, 2026 |
| Sellers vs. buyers | 57.9% more sellers than buyers — the strongest buyer's market in records back to 2013; 36 of 49 metros are buyer's markets | Redfin, Sep 10, 2026 |
| Metros | Signal |
|---|---|
| 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) |
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.
Not a weekly "we're working hard" report — a file of evidence that builds toward a decision
| Code | What It Sounds Like | What 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 |
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.
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.
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.
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.
Know when a price change is the right call — and show every option with the math
| What You're Seeing | Points To | First Move |
|---|---|---|
| Strong online views and saves, few showings | Price or photos | Check the photos against the home, then the price range |
| Showings, but no second showings | Price-for-value or condition | Read the coded feedback (Prompt 1.1) |
| Second showings, no offers | Price, or a specific objection | Ask the second-showing agents directly (Prompt 1.2) |
| Weak views and saves | Price range, photos, or first photo | Search-range check (Prompt 2.3) and a photo review |
| Competitors going pending around you | Buyers chose better value | Competitor ledger (Prompt 1.3) |
| Feedback mostly layout / size | Wrong buyer pool | Marketing to the right buyer before price |
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.
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.
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.
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.
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.
| Minutes | Step | What Happens |
|---|---|---|
| 0–5 | Their goal | Restate what they told you they need — the net, the timeline, the next move. Ask if anything has changed. |
| 5–12 | Acknowledge | Name the concern underneath (Prompt 2.5). Listen more than you talk. |
| 12–20 | The evidence | Coded feedback and the competitor ledger — what buyers said and what they chose instead. |
| 20–27 | The options | The decision brief (Prompt 2.2). Every path, with the math. |
| 27–30 | The decision | The 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.
The fastest buyers for the new price are the ones who already walked through the door at the old one
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.
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.
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.
| Group | Message | Why |
|---|---|---|
| Passed on price | The new price and what it now competes with | Their objection just changed |
| Passed on condition | The fix that was made — only if one was | A price change alone doesn't answer them |
| Passed on layout / size | Nothing | The home still doesn't fit — don't spam them |
| Unknown | A short, low-pressure note | Invites the real reason |
Where each prompt fits, from launch day to the 14-day scorecard
| Stage | Prompts | What the Seller Sees |
|---|---|---|
| Launch window | 1.1 coder · 1.2 follow-up · 1.4 update | Short notes; early feedback, coded from day one |
| Evidence phase | 1.1 · 1.3 ledger · 1.4 update | The weekly tally and what competing listings did |
| Decision point | 2.1 trigger test · 2.3 search range | An invitation to a 30-minute decision meeting |
| The meeting | 2.5 opener · 2.2 brief · 2.4 reset (if no agreement exists) | Their goal, the evidence, every option with the math — their decision |
| Change day | 3.3 history check · 3.1 segmenter | A clear plan for who hears about the new price |
| Days 7 and 14 | 3.2 scorecard · 1.4 update | Proof: did it work, partly work, or point elsewhere? |
This session builds on earlier workbooks instead of repeating them
| When You Need… | Use This Prompt | From the Workbook |
|---|---|---|
| The pricing conversation at the listing appointment | The Five-Act Pricing Story; The Pre-Agreement Framework | The AI Pricing Story (Jul 29, 2026) |
| Refreshed MLS remarks, a note to agents, a "new opportunity" post | The Repositioning Story | The AI Pricing Story (Jul 29, 2026) |
| A weekly health check of price, showings, and competition | The Monday Price Health Check | The AI Pricing Story (Jul 29, 2026) |
| A full photo review and ideal photo order | The photo autopsy | The Expired Goldmine (Aug 12, 2026) |
| A description rewrite for the relaunch | The copy autopsy | The Expired Goldmine (Aug 12, 2026) |
| A full marketing and activity report for the seller | The "Don't Fire Me Report" | Never Lose a Listing Again (Sep 3, 2025) |
| A "just reduced" short video | Brief #3 — Price Drop | The 60/25/15 Reel Engine (Jun 3, 2026) |
| A seller who says ChatGPT priced the home higher | The Local Truth Layer | My Client Asked ChatGPT (Aug 26, 2026) |
Evidence only persuades if every number is right and every option is honest
| Question | Who 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. |
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.
Install the system on one active listing, then make it the default for every listing you take
| Week | Actions |
|---|---|
| Week 1 — Start the file | Pick 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 market | Start 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 brief | Run 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 default | Add 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.
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)Verified September 15, 2026 — market data changes monthly, so pull the latest release for your area before a seller meeting
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.