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Lead communication

The price conversation, backed by data instead of apology.

A data-driven price reduction conversation built from comp evidence, days-on-market context, and a recommended drop your seller can actually follow.

Updated June 2026 · one of 17 tools in the RealtrAI workspace

Fair Housing screened on every output

What you give it

  • The listing address, current price, and original list price
  • Days on market, showing count, and offer activity so far
  • Comparable sales and active competition you want cited
  • Feedback from showings, in the buyers' words if you have it
  • The seller's situation (timeline pressure, next purchase, payoff needs)
  • The reduction you believe the data supports, if you have one in mind

What you get back

  • A conversation script that opens with the market, not the mistake
  • Comp evidence organized into a case: what sold, what sits, and where this listing lands
  • A recommended drop with the reasoning behind the number
  • Responses to the pushback every reduction conversation produces
  • A projection of what staying at the current price costs in time and leverage
  • A Fair Housing screen result for every client-facing document
1
Recommended drop, with the reasoning shown
~30 sec
To a ready conversation plan
7
Federal protected classes screened

The challenge

  • !The reduction conversation gets delayed for weeks because nobody enjoys it, and every week costs the listing leverage.
  • !Without comps in hand, asking for a reduction sounds like an opinion, and sellers argue with opinions.
  • !A vague let's-lower-it lands worse than a specific number with reasoning behind it.
  • !Sellers hear a reduction as your failure unless the data reframes it as the market's verdict.

What it does

  • Builds the conversation from this listing's actual record: days on market, showings, offers, and feedback, next to the comps.
  • Structures the comp evidence into a case a seller can follow: what sold and why, what is sitting and why, where this price fits.
  • Recommends a specific drop and shows the reasoning, so you present a number instead of a mood.
  • Prepares responses to the standard pushback: we can wait, let's try one more month, the right buyer just has not seen it.
  • Screens every client-facing document against the 7 federal protected classes plus state and local additions.
  • Keeps your listing data and prep inside your own tenant. You own everything you generate.

Inside the tool

Every capability, included.

Conversation script, opener to close
Comp evidence built into a case
Specific recommended drop with reasoning
Pushback responses prepared
Cost-of-waiting framing
Fair Housing screen on every document

Why it matters

Overpriced listings do not fail loudly. They fail slowly.

An overpriced listing does not get rejected; it gets ignored, and every quiet week erodes the final price. The agents who protect their sellers are the ones who have the reduction conversation early and with evidence. Price Reduction Script makes that conversation ready the day the data says it is time.

The market speaks first

The script opens with what the market has said: showings, offers, and comps, so the reduction is a response to evidence, not a confession.

A number, not a nudge

A specific recommended drop with reasoning gives the seller something concrete to accept, adjust, or challenge.

The cost of waiting

The script quantifies what another month at the current price tends to cost, which is the argument that actually moves sellers.

The evidence

Comps arranged as a case, not a spreadsheet

Sellers do not change their minds because of a table. They change their minds because of a story the table proves. The script orders the evidence so each comp answers a question the seller is already asking.

What sold

Closed comps establish what buyers actually paid for homes like this one, recently and nearby.

What is sitting

Active competition shows what the buyer sees next to this listing at the current price.

Where this listing lands

The listing's own record (days on market, showings, feedback) placed against both, which is where the recommended number comes from.

The pushback

Every objection in this conversation is predictable

We can wait. One more open house. The right buyer has not come through yet. The script prepares a response to each that agrees with the feeling and answers with the data, so the conversation moves forward instead of around.

We can wait

Answered with what waiting has already cost and what the days-on-market curve says about offers from here.

It only takes one buyer

Answered with showing and traffic data: the buyers who would pay this price have already seen it.

Let's try one more month

Answered with a specific plan: the new price, the relaunch, and what a stronger first week does that a fourth month cannot.

Connected across the workspace

One source of truth.

Listing Presentation

The same evidence discipline that wins the listing in a Listing Presentation carries the reduction conversation ninety days later.

Listing Writer

After the reduction, regenerate the copy in Listing Writer so the relaunch reads like a fresh listing, not a discounted one.

Market Update Email

Sellers who read a monthly Market Update Email have watched the data all along, which makes the reduction conversation shorter.

How it works

Adopting price reduction script.

01

Enter the listing's record

Current price, original price, days on market, showings, offers, and the feedback you have collected.

02

Add the comps

Closed sales and active competition you want cited. The recommendation is built from what you provide.

03

Review the script and the number

In about 30 seconds you have the conversation plan, the evidence case, the recommended drop with reasoning, and the pushback responses, already screened.

04

Have the conversation early

Walk the seller through the market's verdict, present the number, and relaunch the listing while it still has leverage.

Standards & compliance

Built in, not bolted on.

Three-tier Fair Housing screen on every client-facing document: a pre-generation filter strips prohibited language, an output review checks each draft against HUD advertising guidelines before it reaches you, and every flag or override is written to an audit log.Screens against the 7 federal protected classes: race, color, national origin, religion, sex (including sexual orientation and gender identity), familial status, and disability, plus state and local additions.A human reviews and approves before anything is shared with a client. The screen assists your judgment, it does not replace it.Fair Housing governance is provided by Trunnion AI across the workspace.

FAQ

Questions, answered.

Where does the recommended drop come from?

From the data you provide: the gap between the current price and the closed comps, the active competition, and how the listing's own showing and offer record compares. The reasoning is shown alongside the number so you can defend or adjust it.

Does it pull comps automatically?

You supply the comps and the listing record, and the tool builds them into the case and the recommendation. That keeps the evidence on comps you have verified and would stand behind in front of a seller.

How is this different from just showing the seller a CMA?

A CMA is data; this is the conversation. The script sequences the evidence, frames the reduction as the market's verdict rather than anyone's failure, recommends a specific number, and preps you for the pushback.

What if the seller says no?

The script includes the fallback: a smaller step with a review date, and the cost-of-waiting numbers that make the next conversation shorter. Sellers rarely say yes on the first pass; the evidence keeps working after the meeting.

Can I use pieces of it in writing?

Yes. The evidence case works as a pre-meeting email or a leave-behind, and every client-facing document has already passed the Fair Housing screen before you share it.

When should I have this conversation?

Earlier than feels comfortable. The tool's cost-of-waiting framing exists because the data is consistent: reductions taken in the first few weeks protect more of the final price than the same reduction taken in month three.

Get started

Try Price Reduction Script free for seven days.

It is one of 17 specialist tools in your RealtrAI workspace. No credit card.

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