24/08/2026
Monday night I gave the teams the masterclass version of the research behind their brief, I call it Daz’s Data. Because day two of The Block is a blur for any team, cameras everywhere and a build about to start, what stuck were a few descriptors “Quiet Luxury” and “White, Light and Bright”. The research behind those descriptors though is based on eighteen months of comparable sales showing five buyer groups including one wildcard invisible to the dataset. The houses that sold inside a week share a formula, and the ones that waited half a year or more would fit nicely in different markets, but apparently sold slowly in Mt Eliza. Swipe through and you’ll see why sage green was sitting inside the benchmark from the first day. What would eighteen months of your suburb’s sales say about your home? Save this one for your next renovation.
Ten minutes on day two covered the whole picture: the price bracket, the buyer, what the data rewards and what it punishes. But day two of The Block is a blur. You’ve just landed, there’s a camera in your face, a build starting, and a hundred decisions queued up behind every conversation. So each couple walked away holding fragments, and fragments harden into rules if nobody unpacks them. That’s what the masterclass was for.
A site visit runs at the speed of television, and a masterclass runs at the speed of reading. So this time the evidence itself went on screen: every comparable sale over eighteen months, the days on market for each one, the buyer cohorts and what each of them responds to. None of it was new direction. It was the same research the brief was built from, shown slowly enough to be checked. And the same maths prices any home going to market, including yours.
Mt Eliza sells in three tiers. Under $3 million is the volume market, where buyers will forgive a dated room if the view and the address are strong. From $6 million up is trophy territory, where the buyer pool thins so far that a campaign can run past 200 days waiting for one person. The middle, $3.2 to $4.5 million, is where renovation earns the most back, because buyers there are discerning, product specific, and paying for a home that’s already resolved. That
