Cotality review: property data, analytics and what it's like to work there

Real estate

Cotality is the property data and analytics company formerly called CoreLogic. The rebrand was announced on 24 March 2025, so a search for either name lands on the same business.

This Cotality review covers two questions people ask about the company, because they ask both: what the Cotality platform does for the property industry, and what it's like to work there.

The product answer starts with coverage. Cotality provides U.S. property data covering 99% of parcels and 94% MLS coverage, and that database is the basis of the market leader claim the company makes for itself.

Cotality property data coverage: 99 percent of US parcels covered, 94 percent MLS coverage, and the 2025 rebrand from CoreLogic to Cotality announced on 24 March

What Cotality does with property data

Cotality provides detailed property data for valuation, risk management, and market insights. The Cotality customers are real estate professionals, lenders, and insurance carriers, and each buys a different slice of the same underlying records.

Clients don't buy records. They buy actionable insights drawn from records, and the difference shows up in what a lender does on Monday morning rather than in the size of the file.

The financial services side buys risk models. An insurance carrier pricing a policy and a lender pricing a loan are asking the same question about the same property from a different perspective.

Parcel-level detail is the foundation. Cotality provides detailed parcel information and ownership records, and the Cotality platform integrates with MLS to provide in-depth property reports.

Data acquired from county recorders, tax rolls, and MLS feeds has to be normalized before any of it is helpful. That normalization is the unglamorous work at the center of the business, and it's what creates the value in the file.

That combination is what makes property valuation work at scale. A single appraisal needs one record. A mortgage lender pricing risk across a book needs every record in the county, refreshed, with ownership history attached.

The business reaches beyond the US. Cotality runs a substantial Australia operation, the former CoreLogic Australia, which serves the same lender, insurer and agent segments against Australian property records.

Who buys Cotality and for what: mortgage lenders for valuation inputs and risk pricing, insurance carriers for automated risk assessment and claims management, real estate professionals for MLS-integrated property reports, and marketing teams for audience signals from living property data

Business solutions for lenders and insurers

Cotality's platform is suited for large-scale users such as mortgage lenders and insurers. Volume is the dividing line: the analytics earn their cost when the account is running thousands of decisions rather than dozens.

A National Hurricane Center five-day forecast cone for Hurricane Melissa, the kind of catastrophe track data insurers pair with property records to price and reserve for storm exposure

For insurers, Cotality offers a specialized tool designed to automate risk assessment. Cotality has a centralized platform for managing property claims, which puts the claim and the underlying property record in the same place.

Cotality uses AI for image analytics to improve appraisal reviews, reading photographs of a property rather than waiting on a person to read them. Cotality emphasizes responsible AI in its products and services, and these are business solutions bought once and configured for years.

Cotality flood analysis comparing value change in flood-impacted against non-impacted suburbs across Lismore, Ballina and Byron, with declines ranging from 3.9 to 30.8 percent by suburb

Marketing and audience data

Cotality uses living property data to identify audience signals for marketing. A lender that knows which homeowners are approaching a refinance window can target the campaign at the ground truth of the property record instead of a demographic guess.

This is where the consumer-facing side of the business sits, and it's the piece most buyers underuse. It also needs permission handling like any consumer marketing data, so check what consent basis comes attached before a campaign runs.

The Contractor Workspace administration screen under the CoreLogic brand, listing configurable dashboards for job overview, job summary, subcontractor and supplier, company and user, each set visible to all users

Automation, dashboards and APIs

Cotality automates workflows to reduce manual tasks and cycle times. Cotality allows users to customize dashboards to show specific metrics, so a risk team and a revenue team can each read the account without arguing over one shared page.

The technology direction is modern and developer-friendly, including RESTful APIs. That matters more than a feature list. An API a team can integrate in a week beats a richer product that takes two quarters to connect.

The honest limit

Users have reported a steep learning curve with Cotality. Budget training time and name an internal owner, because the analytics are only as helpful as the person who knows which report answers the question.

The research Cotality publishes

Cotality publishes market research from the same database it licenses, which is the cheapest way to judge the data before buying it. The charts carry a Cotality or CoreLogic source line and name the underlying statistical agency, so a buyer can check the working.

Australian lending data

The Australian series tracks home lending by volume and value against ABS figures. Lending ran at 139,794 loans worth $102,959 million in the March 2026 quarter, down 6.2% by volume and 3.8% by value on the prior quarter.

A Cotality chart of Australian quarterly home lending: volume at 139,794 loans and value at $102,959 million to March 2026, with the quarterly change panel showing volume down 6.2 percent and value down 3.8 percent

The same data cut by borrower type is the more useful view for anyone pricing risk. Investors reached 41.0% of lending volume and 40.3% of value by March 2026, while first home buyers slipped to 21.6% and 17.4%, a gap that has widened every year since the pandemic.

Cotality analysis of Australian lending share: investors at 41.0 percent of volume and 40.3 percent of value by March 2026, against first home buyers at 21.6 and 17.4 percent, with the two lines diverging after 2021

State-level breakdowns show how far a national number can mislead. Investor lending fell 5.3% nationally that quarter while dropping 16.9% in the ACT and rising 8.8% in Tasmania, and first home buyer lending fell 20.6% in the Northern Territory against a 4.3% national decline.

Cotality state breakdown of quarterly lending change: investor lending down 16.9 percent in the ACT and 6.3 percent in NSW against a 5.3 percent national fall, with first home buyer lending down 20.6 percent in the Northern Territory

New Zealand market data

The New Zealand series runs on the same method against a different market. Purchases are split across seven buyer types from 2006, and the top three finished 2024 within five points of each other at 26.5%, 26.1% and 21.7%, a tighter spread than the 30.0% to 21.6% range the series opened with.

CoreLogic data on New Zealand property purchases by buyer type from 2006 to 2024, with the top three categories converging at 26.5, 26.1 and 21.7 percent against a wider spread at the start of the series

The volume series is where the forecasting shows. Calendar-year sales peaked near 122,000 in 2006 and troughed around 66,000 in 2022, with 2025 and 2026 forecast to land close to the 1995 to 2024 average rather than either extreme.

CoreLogic calendar-year New Zealand sales volumes from 2006 with 2025 and 2026 forecast bars, both sitting near the 1995 to 2024 average of roughly 96,000 sales

For a buyer, the published research works as a free sample of the licensed product: the same parcel and transaction records, aggregated. If the charts answer questions your team currently pays an analyst to assemble, the underlying feed probably will too.

Working at Cotality: is it a great place to work

Employer reviews are half of what people search for on this company, so here's what the ratings say.

Cotality has a high employee satisfaction rating on Glassdoor. 87% of employees would recommend Cotality to a friend, 93% approve of the CEO, and 83% have a positive outlook for the business. The company was named one of Glassdoor's Best-Led Companies 2025.

Employees appreciate the supportive work environment and team collaboration, and the culture emphasizes trust and transparency. Cotality offers flexible working arrangements, and work life balance rates 3.2 out of 5.

Cotality Glassdoor ratings compared: 87 percent would recommend to a friend, 93 percent CEO approval, 83 percent positive business outlook, work life balance 3.2 out of 5, management 2.7 out of 5 and career development 2.7 out of 5

The gap in the numbers

Two ratings sit oddly against the rest. Management scores 2.7 out of 5, and career development scores 2.7 out of 5, against that 93% CEO approval.

A 93% approval for the chief executive alongside a 2.7 for management is a specific finding: people rate the direction from senior management well and their day-to-day line management poorly. Senior management and the manager two desks away are being scored by the same employees as different things.

Career development at 2.7 says something similar about growth opportunities. 87% recommend Cotality for career growth, and the development rating still lands at 2.7, which usually means the opportunities exist and the path to them isn't clear.

Anyone weighing an offer should ask the specific questions that rating implies: who sets promotion criteria, how often they're reviewed, and what happened to the last two people in the role. A good work life balance and a great team don't compensate for an unclear direction over three years.

Leadership, managers and workload

Leadership scores well in aggregate. 93% CEO approval and a place on Glassdoor's Best-Led Companies 2025 list are hard results to fake, and 83% holding a positive outlook is a number any employer is proud to publish.

Line managers score differently. A 2.7 management rating means the experience of individual workers depends on which manager they report to, and inconsistent line management is the usual reason a company posts strong top-level ratings and weak middle ones.

Workload and pace sit beside it. A 3.2 work life balance rating is middling. It's too demanding to be a selling point and too tolerable to push people out. Flexible working arrangements do most of the lifting on employee wellbeing here, and reviewers describe the pace as steady rather than punishing.

What a software engineer or analyst should ask before accepting

The 2.7 career development rating is the one to probe. Ask what responsibilities the role owns in month one against month twelve, ask what's expected in the first 90 days, and get the answers in writing.

Talk to peers in the function rather than only the hiring manager. Two conversations with people already doing the job give a clearer sense of the work than any panel does, and that access is rare enough that a refusal tells you something.

Ask where there's room to try new things. Employees report many opportunities to grow and 87% recommend Cotality for career growth opportunities, so availability isn't the question. Clarity about the path is.

Reading Cotality employer reviews well

Ratings vary by role and location. A software engineer, a claims analyst, and a sales lead are describing different jobs at the same company, and an average across all of them tells you less than the reviews from your own function.

Filter before you conclude. Read the comments from your role, in your office, from the last 18 months, and treat everything older as history. The Australia reviews and the US ones describe different offices under one brand.

The best advice for anyone reading a Glassdoor page: a great place to work for one team can be a poor one for another. Focus on reviews from people doing your job and treat the company average as background.

Who Cotality fits

Cotality fits organizations with property volume: mortgage lenders, insurance carriers, large brokerages, and the data teams inside them. Coverage of 99% of parcels only pays off when you need the whole country.

It fits less well for a small agency wanting occasional comps. The training overhead and the enterprise contract shape are built for a different buyer.

A useful test before signing

Pick one workflow, run it end to end, and count the manual steps that survive. If the processes still need a person copying values between systems, the automation isn't reaching your team, and the analytics are less helpful than the demo suggested.

Common questions

Is Cotality now CoreLogic?

They're the same company. CoreLogic announced the rebrand to Cotality on 24 March 2025, and the CoreLogic name is the former one.

What does the company Cotality do?

It sells property data and analytics: parcel records, ownership history, valuation inputs, risk models, claims tooling, and marketing audience signals, drawn from a database covering 99% of U.S. parcels and 94% MLS coverage, with a separate Australia business alongside it.

Who owns Cotality?

Cotality is privately held, having been acquired and taken off the public market before the rebrand from CoreLogic. It operates as an independent property data business rather than as a division of a larger listed group.

Is Cotality a mortgage company?

No. Cotality sells data and services to mortgage lenders and originates no loans itself. Lenders are a core customer, and that's the extent of the connection.

Is Cotality a good company to work for?

The ratings are mixed in a specific way. 87% of employees recommend it and 93% approve of the CEO, while management and career development both sit at 2.7 out of 5. It was named one of Glassdoor's Best-Led Companies 2025.

Is Cotality a good company to buy from?

For lenders and insurers running volume, the coverage figures are the strongest argument: 99% of parcels and 94% MLS. The consistent complaint is the learning curve, so the risk in the purchase is adoption rather than data quality.