01 · Propic’s data
Every property, every day
Scored against every other property in Australia.
11.5M properties
Vendor Predictions
Know which properties are most likely to list next.
Propic predicts which properties are most likely to list. Every property in Australia is scored every day against every other. Claire then reads your data to find the ones you can contact, and tells each agent who to call, when and why.
Already at work
11.5MAustralian properties scored every day
4.2Bpredictions a year
From the whole market to one phone call.
Propic’s data and yours, joined by one model.
Daily
02 · The signals
150 metres around each home
Every sale, listing, lease and price change nearby.
SoldNew listingLeasedPrice change
03 · Your data
The owners you can contact
Claire reads your data to find who you can reach.
Marla Fenwick
Property linked · owner-occupier
04 · The prediction
Most likely to list
One owner, one score, and the reasons behind it.
5136/84 Belmore St
High potential opportunity
05 · The call
Who, when and why
By email, as a CRM task, or in your own systems by morning.
Daily opportunities
Click to call
06 · Revenue churn
See what listed elsewhere
Every prediction tracked, with you or with someone else.
Listed with a competitor
An example. The owner, the address and the score are invented; 76% is the share of predicted properties that listed with a competitor.
Revenue churn
See the listings going to someone else.
76%of the properties Claire predicted, that then listed, listed with a competitor.
That is revenue churn: listings your agency could have contacted, going to another agency. Claire tracks every prediction that lists, with you or with someone else, so business owners and agents can see where it is happening while there is still time to make the call.
Agents who act on their predictions keep more of it
Win rate on predictions that listed
Days from prediction to listing
Two groups of agents over the same thirty days.
How a prediction reaches your agent.
Propic’s data is the key factor. Your data decides who you can call.
Every property is scored
Every day, against every other property in Australia: sales and rent history, listings, withdrawals and price changes, market performance and ownership.
The signals around it are read
Every sale, listing, lease and price change within 150 metres of each property.
Claire reads your data
She works out which of the properties most likely to list belong to someone your agency can contact.
The agent gets the list
Each morning: who to call, when and why, with click-to-call, the property’s details and the purchase price and date.
It lands where they work
By email, as a task in your CRM, or sent to your own systems.
You see what happened
Every prediction is tracked, including the ones that listed with someone else.
Your predictions in Pulse
Pulse on a phone. Agencies that use Claire on all their listings see their vendor predictions here as well. The owner shown is an example.
One prediction. Two reasons to want it.
01
For business owners
Know which properties in your market are most likely to list, and which of them your team can reach. A daily call list to each agent, and a record of what happened to every prediction.
02
For agents
A short list each morning of who to call, when and why. The reason is attached, so the call lands, and it is one tap to make it.
Just some of the brands that trust Claire.
and +55 more
Other agencies using Claire include Abercrombys, Alex Pitsis Group (APG), All Properties Group, Barnett Real Estate, Barry Plant, Belle Property, Bombay Real Estate, Brava Residential, Broadhurst, Caroline Brown Property, Code, Crafted Property, eXp Realty, Felix Reitano Real Estate, Garry Jones Homes, george brand, Harcourts, Harwood, Hayman Partners, Hennessy Real Estate, Hillsea.com Real Estate, Integrity, James Avenue, K&D Properties, Keyes & Co Property, Kim Jones & Co, Laing + Simmons, LJ Hooker, Marriott Lane, Martinuzzi Property Group (MPG), McNeice, MK Real Estate, Movable, Multi Dynamic, Nic & North, Palm House Property, Pilgrim, Professionals, Raine & Horne, Ray White, RE/MAX Edge, Reddy G Real Estate, Richard Matthews Real Estate, Richardson & Wrench, Sale Street, SMART Real Estate, Soul, Stoke, Suburbia, Sydney Realty Centre, View, Vivid Property, Wolf.
Questions we get asked.
What is Vendor Predictions?
Vendor Predictions predicts which properties are most likely to list. Propic scores every property in Australia, about 11.5 million of them, every day against every other. Claire then reads your agency’s data to find which of those owners you can contact, and gives each agent a daily list of who to call, when and why.
How does Claire predict which properties are most likely to list?
Propic’s data is the key factor. For every property in Australia, every day, the model reads sales and rent history, listings, withdrawals and price changes, market performance, ownership, and every transaction within 150 metres, and ranks the property against every other. Your data is then used to work out who you can contact.
How do agents receive their predictions?
As a daily email with click-to-call, the property’s details, the purchase price and date and the discussion points, or raised as a task in your CRM. They can also be sent to your own systems. Agencies that use Claire on all their listings see them in Pulse on the phone as well.
Does it work with our CRM?
Yes. Claire matches the predictions to the contacts in your CRM to find who you can call, and can raise each one there as a task so it lands in the agent’s workflow and is actioned.
What is revenue churn?
Listings your agency could have contacted that went to a competitor. Of the properties Claire predicted that then listed, 76% listed with another agency. Claire tracks what happens to every prediction, so you can see your own figure and act on it.
Is a prediction a guarantee?
No. A prediction tells an agent where to focus. It is not a guarantee that any particular owner will sell.
See which properties near you are most likely to list.
Forty-five minutes, your suburbs, your listings. Or ask Claire about it right now.