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REINSW Journal Jan-Feb 2017

The bi-monthly magazine from the Real Estate Institute of NSW

The bi-monthly magazine from the Real Estate Institute of NSW

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3<br />

Understanding your customers – and targeting more<br />

people like them<br />

How much do you know about clients you’ve had in the past –<br />

or even those you’re working with now? Big data can take your<br />

existing client list – going back as many years as possible – and analyse it<br />

according to demographics and consumer behaviours. By overlaying it with<br />

property market data to understand property features, recent sales and<br />

what’s sold around them, you begin to get a real understanding of the types<br />

of clients your business attracts and their trigger points for deciding to sell,<br />

buy, rent or invest.<br />

Once you know how your existing clients behave – including the best times to<br />

re-engage with them and the type of client (buying, selling, renting) that they’re<br />

most likely to become – you can target your marketing accordingly, whether it’s a<br />

digital or traditional campaign.<br />

The final step is to take your knowledge of existing clients and ask the big data<br />

algorithms to find non-clients who match the same criteria, so you can also target<br />

new prospects.<br />

CoreLogic’s Re-Engage, developed in partnership with Greater Data, uses big<br />

data and analytics to help you connect with past and future customers.<br />

Final note<br />

Big data isn’t a magic bullet, nor a cure-all. The agents who understand<br />

the power of big data are winning in their markets – not just because<br />

they know how to work the numbers, but because they then amplify their<br />

personal skills in marketing, negotiating, and supporting and helping<br />

clients. No matter how good the algorithms are, real estate is primarily<br />

about relationships – so use the data to enhance your relationships, not<br />

replace them.<br />

What is big data?<br />

Big data is a term that describes<br />

the large volume of data – both<br />

structured and unstructured – that<br />

inundates businesses daily. It’s<br />

being generated by everything<br />

around us at all times. Every digital<br />

process and social media exchange<br />

produces it, and systems, sensors<br />

and mobile devices transmit it.<br />

It’s collected in hundreds of ways<br />

including surveys, online audience<br />

tracking, industry statistics, client<br />

feedback and more.<br />

But it’s not the amount of data<br />

that’s important. It’s what<br />

businesses do with the data that<br />

matters. Big data can be analysed<br />

for insights that lead to better<br />

decisions and strategic business<br />

moves. It can also be used to create<br />

insights into consumer behaviour,<br />

patterns and even trends.<br />

For the real estate industry, a major<br />

drawcard of using big data is being<br />

able to predict who is more likely to<br />

sell their house and zero in on them<br />

before they even decide they want<br />

to sell.<br />

REAL ESTATE JOURNAL / <strong>Jan</strong>–<strong>Feb</strong> <strong>2017</strong> / 33

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