Solutions · Real estate
New callers should burn their first hundred calls on an AI seller
Acquisitions reps and cold callers practice the seller conversation by voice, as many times as they want. You see who handles the objections and who is still learning on live leads.
$35,000
US real estate acquisitions team
A house was under contract at $270,000. The only buyer in hand would not go above $210,000. The rep on that call was the weakest closer on the team. He ran the conversation six times against a simulated seller who refused, argued, and walked away. The seller agreed to $175,000.
"He went into the war prepared. On the simulation this guy was just being stubborn, so when he went to go deliver it, it was ten times easier."
The problem
Reps learn to call by losing leads
Ramp-up runs on live leads
A new rep gets a script, a headset, and a list. Every rough call in the first weeks is a lead you paid for. The only alternative most teams have is role play with whoever is free, which happens when someone is free and not before.
The same objections, every day
The offer is too low. I am not in a hurry. Send it in an email. I already have an agent. The list is short and it repeats, which makes it perfectly trainable. Most teams still never drill it deliberately.
Follow-up is a separate skill
Calling someone back three months after they said "not now" is a different conversation from a first dial. Almost nobody practices it, so it gets improvised, and the lead quietly goes cold.
How it works
Build the call, run it by voice, get the debrief
Build the scenario
Choose the seller situation and how hard the persona pushes. Load your own script and your own scoring criteria. The builder is no-code, so a manager sets it up in about fifteen minutes.
Run the call
A real voice call with an AI seller who objects, interrupts, and tries to end the call. The rep runs it again and again, at any hour, without tying up a manager or a teammate.
Debrief and repeat
The rep talks through the call with an AI trainer: where they lost control, what to say on the price objection, what to try next. Then they dial the AI seller again with a plan.
Industry benchmarks
The numbers this business already runs on
These are published industry benchmarks from third-party sources, not pichi.ai results. We list them because they are the coordinate system acquisitions teams think in, and because they show where practice can move the needle.
| Benchmark | Reported range | Source |
|---|---|---|
| Dial to appointment | 2% to 3% on average, 5%+ for top callers on clean lists | VA Horizon |
| Dials per closed deal | around 4,500 | VA Horizon |
| Cost per closed deal from cold calling | $1,000 to $2,000 | Televista |
| Share of calls covered by a short list of objections | about 12 objections cover roughly 85% of calls | Skipcall |
| Follow-up effort | 80% of deals need 5 or more touches, the average rep stops after 1.3 attempts, and 44% stop after the first | Automize CRM |
| Ramp-up for a new acquisitions rep | 30 to 60 days to full productivity | Property Mob |
Sourced from public industry publications and cited for context only. pichi.ai does not claim these figures as its own results, and does not promise a specific change to any of them.
Scenarios
What a rep can actually practice
The first cold call
Opening a call with someone who did not ask to hear from you. Getting past the first ten seconds, finding out whether there is any motivation at all, and earning the right to ask about the property.
The offer conversation
Holding a number the seller does not like. Explaining how you got there without arguing, and staying in the conversation after the seller says the offer is insulting.
The follow-up call
Calling back weeks or months later. Reopening a conversation without starting from scratch, and finding out what changed since the last contact.
Your worst call, replayed
Take a real call that fell apart, turn it into a scenario, and assign it to the team. Everyone runs that conversation before they meet that type of seller again.
Who uses it
Everyone on the phones, including remote callers
Cold callers
In-house or remote, in any time zone. They warm up on the AI seller before the shift instead of on the first twenty real numbers on the list.
Acquisitions reps
The people who take a warm seller to a signed contract. They drill the offer conversation and the objections that decide whether the deal happens.
The owner or sales lead
Stops being the only role play partner in the company. Sets the criteria once, then reads the results instead of sitting in on every practice call.
What you see
Readiness per rep, before the list gets burned
Scores describe practice conversations. Treat them as a readiness signal you calibrate against your own live call reviews, not as a replacement for them.
FAQ
Questions from acquisitions teams
Does the AI seller sound like a real homeowner?
The persona behaves like a seller who did not ask to be called. It is short, suspicious, distracted, and it pushes back on a low offer. You set the situation: tired landlord, inherited property, pre-foreclosure, someone who already listed with an agent. The honest test is to run one call yourself.
Can we train remote callers in another country or time zone?
Yes. Sessions run in the browser from any device and do not need a partner on the other end, so a caller can practice at the start of their shift without anyone scheduling it. Their results land in the same dashboard as everyone else.
We already record and review calls. Why add this?
Call review tells you what went wrong after a live lead is gone. Practice happens before that, on a lead that costs nothing. The two work together: pull a call that fell apart, turn it into a scenario, and have the team run it.
Can we use our own script and our own scoring?
Yes. Scenarios and scoring criteria are yours. If your team runs a specific framework for the seller conversation, the scoring is set up against that framework rather than a generic sales rubric.
How long does it take to get started?
You create an organization yourself and start the same day, no sales call in the way. A scenario takes about fifteen minutes to build in the no-code builder. If you want help with the first scenarios and scoring criteria, email us and we will set them up with you.
Will reps actually use it?
The pattern we see is that people come back when the feedback is specific and there is no manager watching. It is worth agreeing on a simple usage target during the pilot, for example a set number of sessions per rep per week, so adoption is measured rather than assumed.
What does it cost?
The price list is public and sits on the pricing page, per seat per month. You can create an organization and start without talking to anyone first.
Other solutions
Same engine, different conversation
Sales teams
Negotiation practice and objection handling for reps, with analytics per person.
See the solution →Medical reps
Physician visits practiced by voice, scored against your visit criteria.
See the solution →Managers
Assessment and practice for difficult management conversations.
See the solution →Read next
Written up in more detail
Four articles on the acquisitions call: the seller on the other end, the objections, the number, and the new caller.
Selling to businesses rather than to owners? The same call moments on the B2B side are the sales roleplay scenarios.
Take one call with the AI seller
Create an organization, run one seller call, and read the scoring on it. Email us when you want help building the scenarios for your own list.