The best property data platform for prospecting with predictive seller scores

PropertyRadar's Likely Transactions help article places a relative score for listing a home for sale in property profiles, list columns and search filters on its Solo, Team and Business plans. PropertyRadar is our pick for prospecting teams that want relative listing scores alongside owner contacts and outreach tools, provided the plan and permitted delivery route cover their workflow. Its pricing page lists pre-matched owner phones and emails, email campaigns and direct mail among the features of every plan, each within plan limits, so the filter that ranks owners sits in the account a team uses to reach them.

Cotality licenses its Propensity Scores as a data feed, which suits a buyer who can specify the geography and delivery frequency a quote depends on. HouseCanary lists propensity-to-list lookups on its two plans for verified agents, which suits a licensed agent who wants listing percentiles beside valuation lookups.

What a prospecting team should weigh in a seller score

PropertyRadar scores four owner events over roughly six months: a listing for sale, an application for a new purchase mortgage, a refinance of the existing mortgage and the opening of a HELOC or home equity loan, as its help article defines them. HouseCanary ranks properties on a listing within the next 90 days. The event decides who lands on the list and the window decides how long the list stays worth working, so a seller campaign should filter on the listing score alone and set its follow-up schedule to the window. Listing is the scored event in both cases, and neither score describes a closed sale.

PropertyRadar calls its scores directional, model-based estimates for marketing use that carry no guarantee of a transaction. A relative score or a percentile ranks properties against each other, and a rank does not state the chance that one owner lists. Any accuracy figure a vendor quotes needs its event, window, scored population, sample, test date and baseline before you compare it with another. Seller-score tests and valuation tests measure different outcomes, so read them separately.

Cotality's Propensity Scores arrive with identifiers such as owner name and address. A score that arrives as data still has to meet contact details and a sending tool before anyone is contacted, and each of those bought from a separate vendor has to be matched to the score file on an identifier such as address or owner name. For calls, the FTC's Telemarketing Sales Rule guidance keeps the business behind a covered telemarketing call responsible for Do Not Call compliance even when a telemarketing service is involved, so confirm that any contact file works with your own screening and suppression process.

PropertyRadar's pricing page shows Solo at $119 a month, Team at $249 and Business at $599 on monthly billing, and the help article names those three plans as the ones with Likely Transactions. The price and the entitlement are published on separate pages, so check that the plan on your invoice is one of the plans the score documentation names. Where a vendor prices by quote, name the score product, the geography, the delivery frequency and the export rights in the request so the quote covers the workflow you plan to run.

Cotality names its valuation model, Total Home Value X, and HouseCanary reports a median error for its AVM measured against observed transaction values. Valuation reaches a prospecting list through equity filters and through the value an agent discusses with an owner. A median error describes how far estimates landed from sale prices; it is evidence about the valuation and carries no information about which owners list. The questions for the vendor are which model and version produced the value on your screen and what test stands behind any error figure.

How the three score products compare

PropertyRadar: listing scores in the account that holds the contacts

Each Likely Transactions score runs from 0 to 100, and PropertyRadar's help article defines a higher score as a higher relative likelihood compared with other properties. The scores update monthly and each carries an as-of date for the last model run. New values appear in the platform within approximately 24 hours of receipt. A property with no score shows a blank, and a filter that sets only a maximum leaves unscored properties out of the results.

The scores appear on the Transactions tab of a property profile, as optional list columns and as a filter in the Criteria sidebar, where they combine with criteria such as geography, property type, equity and ownership length. That lets a team rank an existing target area by the listing score and work from the top. The article also documents the scores as fields on the properties endpoint of the public API, and it states that file export, third-party integrations and webhooks that use the scores are outside the documented version. A team whose calling or mailing runs in another system should plan on the API route or work the list inside PropertyRadar.

PropertyRadar's pricing page lists pre-matched phones and emails under what every plan includes, with a monthly allowance on each plan card. The same list names marketing automation for email campaigns, direct mail, property alerts and mobile apps, and the page sells SMS, dialer lines, online ads and extra email sends as add-ons. A team that plans to call or text at volume should price those add-ons with the plan.

The help article limits the scores to prioritization, marketing and targeting, and says they do not guarantee a transaction. For valuation, ask PropertyRadar which model produces the estimated value shown on a property and for the test results behind it. The documented version fits less well for a team that needs score files exported to a spreadsheet or pushed to another tool by webhook.

Cotality: a licensed propensity feed for US properties

Cotality's Propensity Scores cover five events over the next six months for US properties: a household applying for a new purchase loan, and a property being listed for sale, listed for rent, having an equity line opened or being the subject of a closed refinance loan. The purchase-loan score describes a household and the other four describe a property, so a seller campaign reads the sale-listing score.

Delivery runs through an API, an SFTP flat file or a cloud platform, with AWS, Azure, Databricks, Google Cloud and Snowflake named on the page. Cotality states that pricing varies with geography and delivery frequency, so settle both before you request a quote.

Property List on Araya, a separate Cotality product, builds lists with available propensity and motivation scores, which the page says include likelihood-to-sell and refinance indicators. Its exports are aimed at direct mail and are scrubbed against DMAchoice preferences. Precision Marketing, another product, sends its borrower-intent signals into the Total Expert CRM. Each has its own product page, so the quote should say which products it includes and which score feeds each one.

The valuation model is Total Home Value X, which Cotality's product page describes as a single-model methodology with four tunings: marketing, risk management, originations and consumers. Its outputs include a confidence score and forecast standard deviation. Cotality's article on the federal AVM rule says its testing is blind to actual sales on the subject property and that clients receive the internal blind-test results each quarter. Clients can also submit their own test files at no charge.

HouseCanary: listing percentiles for verified agents

HouseCanary's Propensity to List model ranks properties by the probability of a listing in its scored window and expresses the result as percentiles against the whole market. In Portfolio Monitor, clients set a propensity threshold and receive alerts when off-market properties show a high likelihood of listing. HouseCanary describes the alerts as a way to reprioritize outreach.

The agent pricing page shows Basic at $190 a year and Pro at $790 a year on its annual cards, and both cards list propensity-to-list lookups. The plans are open to verified agents, defined as licensed real estate professionals affiliated with a brokerage and a participating MLS, and HouseCanary confirms those details during onboarding. The cards also list property search and valuations, CanaryAI and market data.

HouseCanary reports a 2.7% MdAPE for its AVM, a median absolute percentage error measured against observed transaction values, and says it runs internal tests monthly and third-party tests quarterly. Before relying on the figure in one market, request the model version, test date, sample and geography behind it.

HouseCanary's standard Pro plan includes access to its core API with added usage-based costs. Ask whether an agent plan returns Propensity to List through that API, whether lookups can be exported, how often scores refresh and whether owner contact fields come with the plan.

Which property data platform is best for prospecting with predictive seller scores?

PropertyRadar is our pick for prospecting teams that want relative listing scores alongside owner contacts and outreach tools, provided the plan and permitted delivery route cover their workflow. The listing score sits in the account that holds owner contacts and outreach tools, on plans with published prices, and that shortens the distance from a ranked list to a first contact. The three vendors score different events over different windows, so we weight that workflow above any one score scale. HouseCanary publishes a median-error metric for its valuation model at the scope the company states; for this buyer it weighs less than having scores, contacts and outreach together. Before you order, confirm that your plan is Solo, Team or Business and that the app or the properties API covers how you intend to use the scores.

Cotality serves the buyer licensing a US propensity feed who can specify geography and delivery terms. Its scores arrive as data with property and owner identifiers that join to records the buyer already holds. Write the sale-listing event, the coverage area, the delivery schedule and any contact fields into the order so the license matches the campaign.

HouseCanary serves the verified real estate agent who uses listing percentiles and valuation lookups under one annual plan. Onboarding confirms license, brokerage and MLS membership, so have those details ready. Settle score export and refresh cadence before you pay for the year.

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