Property has long occupied a unique position within the Australian investment landscape. Unlike equities or other financial assets, it is deeply influenced by human behaviour—emotion, perception, and negotiation often play a greater role than pure fundamentals. For financial advisors, this creates a persistent challenge: how to guide clients through an asset class that is both highly popular and structurally opaque.
In a conversation between Clayton Daniel and Scott Aggett, this tension is explored through the lens of Aggett’s career in real estate and his evolving approach to property acquisition. His experience highlights a central issue within the market—one where information asymmetry and emotionally driven decision-making can significantly impact outcomes—and presents an alternative model grounded in transparency, data, and performance-based accountability.
Scott Aggett’s entry into property began early. After completing school, he moved directly into real estate, gaining exposure to high-performing agencies and observing the mechanics of auctions, pricing strategies, and deal structuring from the inside. Over time, he built a successful career as a selling agent, eventually establishing and operating multiple franchise businesses.
This early exposure provided more than technical experience. It offered insight into the underlying dynamics of property transactions—particularly the role of the agent as an intermediary between two emotionally invested parties.
As Aggett describes, negotiation in property is rarely a simple exchange between buyer and seller. Instead, it is shaped heavily by the agent, who manages expectations, controls information flow, and influences outcomes across both sides of the transaction. This creates a layered negotiation environment, where the apparent balance of power may not reflect the true drivers of the deal.
While this system is effective in maximising outcomes for vendors, it also highlights a structural imbalance. Buyers, often less experienced and operating with limited information, can find themselves at a disadvantage—either overpaying due to emotional pressure or missing opportunities due to uncertainty.
Aggett’s decision to move away from vendor-side sales was driven in part by this imbalance. After more than two decades in the industry, he became increasingly aware of the disconnect between how property transactions were conducted and what buyers actually needed.
On one side of the market, buyers attempting to navigate the process independently often lacked the tools and knowledge to negotiate effectively. On the other, the rise of buyer’s agents—intended as a solution—introduced its own set of challenges.
In practice, many buyer’s agents operated on a transaction-based model, where success was measured by deal completion rather than outcome quality. This created a potential misalignment of incentives, with limited accountability for whether a client achieved a favourable price or long-term investment result.
For Aggett, this raised a fundamental question: if neither self-directed buyers nor traditional intermediaries were consistently delivering optimal outcomes, what would a better model look like?
The answer emerged in the form of a model centred on negotiation itself.
Rather than positioning the service around property sourcing or transaction facilitation, Aggett focused on the point in the process where the greatest value could be created or lost—the negotiation. By isolating this component and structuring it as a standalone service, he sought to provide buyers with targeted expertise at the moment it mattered most.
This approach was underpinned by two key principles. The first was transparency. In an industry often characterised by opaque pricing and information asymmetry, providing clear, data-driven insights into value and process became a central differentiator. The second was performance accountability—linking outcomes to measurable results rather than simply completing transactions.
The model gained traction, particularly among owner-occupiers who were already identifying properties themselves but lacked confidence in assessing value or managing negotiations. Over time, it demonstrated that a significant portion of buyers did not require a full-service solution, but rather support at specific, high-impact stages of the process.
Following the sale of his initial business, Aggett observed a shift in demand. While his earlier focus had been on owner-occupiers, a growing proportion of inquiries came from investors seeking guidance not just on negotiation, but on where and how to invest.
This led to the development of a new approach, centred on what he describes as identifying “green shoots” within property markets. Rather than targeting areas that have already experienced significant growth, the focus is on locating markets at earlier stages of the cycle—where underlying indicators suggest future expansion.
The rationale is straightforward. By entering a market before it becomes widely recognised, investors can capture a larger portion of the growth cycle, rather than competing in already inflated environments.
This approach represents a shift from reactive to proactive investing, prioritising timing and positioning over momentum-driven decision-making.
A key enabler of this strategy is the increasing availability of data.
Where property investment was once guided largely by local knowledge and anecdotal evidence, advances in data analysis now allow for a far more granular understanding of market dynamics. Aggett describes using extensive filtering processes—incorporating factors such as supply and demand, demographic trends, ownership composition, and infrastructure development—to narrow thousands of potential markets down to a small number of viable options.
This process is not purely mechanical. While data provides the foundation, it must be interpreted within the context of a client’s broader financial strategy. Factors such as investment horizon, risk tolerance, and portfolio composition all influence the suitability of a given opportunity.
The goal, therefore, is not simply to identify “the best” market in isolation, but to achieve alignment between the property and the investor’s objectives.
One of the recurring themes in the discussion is the trade-off between capital growth and rental yield.
Investors often approach property with a preference for one or the other—seeking either strong income or long-term appreciation. However, these objectives are not always compatible. High-yield properties may underperform in terms of capital growth, while high-growth areas may offer lower immediate returns.
Aggett suggests that this tension is frequently misunderstood. While both factors are important, long-term wealth creation is more strongly driven by capital growth, particularly in the early stages of an investment journey. Yield, while valuable, is unlikely to generate significant wealth in isolation.
This perspective reinforces the importance of strategy. The “right” balance between growth and yield depends on where the investor sits within their broader financial timeline, rather than being a fixed rule.
For financial advisors, property presents a persistent challenge.
Unlike financial assets, which can be assessed through established frameworks and integrated into portfolios with relative ease, property often sits outside the traditional advice process. Advisors may have limited visibility over asset selection, negotiation, and execution, despite these factors having a significant impact on client outcomes.
Aggett’s model attempts to bridge this gap by introducing a more structured, data-driven approach to property investment. By removing personal bias and focusing on objective criteria, it aligns more closely with the principles that underpin financial planning.
However, it also highlights a broader issue. The integration of property into holistic advice remains complex, requiring coordination between strategy, execution, and on-the-ground expertise.
Another important insight from the conversation is the relative importance of timing versus location.
Conventional wisdom often emphasises geographic diversification—owning properties across different cities or regions. While diversification has merit, Aggett argues that timing market cycles is a more critical driver of performance.
By entering markets at the early stages of growth, investors can capture stronger returns regardless of whether the location is metropolitan or regional. Conversely, concentrating investments in a single location at the wrong point in the cycle can lead to extended periods of underperformance.
This perspective shifts the focus from where to invest to when to invest, reinforcing the importance of forward-looking analysis rather than retrospective trends.
At its core, Aggett’s approach reflects a broader push toward transparency within property.
For much of its history, the asset class has operated with limited standardisation, relying on interpersonal dynamics and localised knowledge. While this has created opportunities for skilled participants, it has also introduced inefficiencies and inconsistencies.
By incorporating data, structured processes, and performance accountability, models such as this aim to reduce those inefficiencies. In doing so, they bring property investment closer to the principles that govern other asset classes—where decisions are informed by analysis rather than intuition alone.
The property market is unlikely to become fully standardised or emotionless. Its complexity and human elements are inherent features, not flaws. However, the way participants engage with it can evolve.
Scott Aggett’s journey—from sales agent to negotiation specialist to data-driven investment strategist—illustrates how that evolution might take shape. By focusing on transparency, aligning incentives, and leveraging data to inform decisions, his model offers an alternative to traditional approaches.
For investors and advisors alike, the implication is clear. In a market where outcomes can vary significantly based on process, the method of engagement may be just as important as the asset itself.