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Episode 33 | Eli Fisher – Property Data & Predictive Modeling with Audantic

Episode Summary: 

In this episode, Craig Fuhr & Jack BeVier interview Eli Fisher from Audantic about the importance of data and predictive modeling in real estate investing. They discuss the challenges of finding motivated sellers and the limitations of traditional data sources. Eli emphasizes the need for operational efficiency and consistent marketing to effectively leverage data. The episode concludes with an invitation to the next episode, where they will dive deeper into the topic.

Overview of Episode 33

At first, hosts Craig Fuhr and Jack BeVier welcome Eli Fisher from Audantic on Real Investor Radio. Together, they explore how predictive modeling can drive targeted real estate investment decisions. Above all, they focus on how investors can gain an edge through refined data insights.

Shifting from Niche Lists to Broader Insights

Initially, Jack and his team relied on niche lists. However, predictive modeling offered a more precise approach. Not only does it identify potential sellers, but it also highlights the right class of investors. Consequently, it allows for a streamlined process with minimized waste.

Demographic and Socioeconomic Indicators

In addition, Eli describes how Audantic uses predictive modeling to develop seller personas based on demographic and socioeconomic data. For instance, this data enables them to find sellers with high potential to transact. Also, the insights minimize marketing inefficiencies, as shown above, by targeting the most likely sellers.

How Data Reveals Hidden Opportunities

As they have shown, predictive modeling can uncover lucrative properties with high transaction potential. For instance, Eli shares a case in Richmond, Virginia, where a property flagged by this approach later sold off-market to an investor. Clearly, this example underscores the proactive edge that this type of modeling can provide.

Predictive Modeling to Boost Efficiency

After all, predictive modeling also aids in enhancing marketing precision. By reviewing conversion rates and follow-up processes, it helps investors understand missed opportunities. For this reason, investors can direct their marketing dollars more effectively, ultimately achieving higher returns.

Competitive Edge in a Saturated Market

Although this may be true, predictive modeling is increasingly popular in the real estate investment world. Accordingly, Audantic’s model empowers investors to monitor competitors, refine strategies, and adapt marketing methods. Equally important, this approach supports sustained competitive advantages.

Conclusion: The Future Potential of Predictive Modeling in Real Estate

Eventually, predictive modeling will continue shaping how investors target opportunities. Therefore, this tool remains crucial for investors aiming to enhance decision-making. 

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