Data solutions built for Real Estate

We can assist with market sizing, network planning, performance monitoring and local area insights – all with next best actions that drive genuine change.

Your choice of relevant data

  • Real Estate Transactions: We’ve connected CoreLogic data on over 8 million residential properties including listing activity, estimated values & property characteristics.

  • Real Estate Behaviour: Access consumer audiences across all stages of the property ownership lifecycle – each with varying degrees of wealth, life events, and buying habits.

  • Demographics: Data points including age, gender, income, household structure, length of tenure, tenure type and net worth help indicate community makeup, growth and gentrification.

  • Retail Transactions: Understand what other purchases households make and the correlation between property transactions and spending habits.

Your choice of relevant data

  • Real Estate Transactions: We’ve connected CoreLogic data on over 8 million residential properties including listing activity, estimated values & property characteristics.

  • Real Estate Behaviour: Access consumer audiences across all stages of the property ownership lifecycle – each with varying degrees of wealth, life events, and buying habits.

  • Demographics: Data points including age, gender, income, household structure, length of tenure, tenure type and net worth help indicate community makeup, growth and gentrification.

  • Retail Transactions: Understand what other purchases households make and the correlation between property transactions and spending habits.

Use cases​

  • Performance measurement: Measure performance of Franchise offices using metrics such as value and number of sales and track how this is changing over time.

  • Competitor measurement & market share: Measure the performance of your offices against the competition in a geography.

  • Expansion strategies & network planning: Understand where opportunities for expansion exist and where there are gaps in the market.

  • Predict new markets: Predict when a suburb’s demographics are changing, such as an increase in downsizers or upsizers. Predict gentrification of an area based on changing demographics and behaviours such as an influx of highly educated young professionals and luxury car purchases.

  • Next best actions: Understand and track key metrics and know what levers to pull to increase revenue and profitability, such as when to offer discounts or when to reduce time on market.

Use cases

  • Performance measurement: Measure performance of Franchise offices using metrics such as value and number of sales and track how this is changing over time.

  • Competitor measurement & market share: Measure the performance of your offices against the competition in a geography.

  • Expansion strategies & network planning: Understand where opportunities for expansion exist and where there are gaps in the market.

  • Predict new markets: Predict when a suburb’s demographics are changing, such as an increase in downsizers or upsizers. Predict gentrification of an area based on changing demographics and behaviours such as an influx of highly educated young professionals and luxury car purchases.

  • Next best actions: Understand and track key metrics and know what levers to pull to increase revenue and profitability, such as when to offer discounts or when to reduce time on market.

Implementation

All of our data is available where and when you need it. Learn more about our privacy-first-based approach to data onboarding and activation.

Implementation

All of our data is available where and when you need it. Learn more about our privacy-first-based approach to data onboarding and activation.

Got Questions?

We have all the answers! Well, maybe not all but we’ll do our best to help.