Why Data Stacking Is The Secret Weapon of Successful Investors w/Jeff Cohn

<p><span style="font-weight: 400;">The most effective and successful marketing campaigns for real estate investors don’t happen by chance - they are the result of the right data, the right medium, the right message, and most importantly going after the right people. </span></p> <p> </p> <p><span style="font-weight: 400;">The investors with the right tools are the ones who will win and scale, especially when they are backed by sophisticated marketing systems. Data stacking is one of the most powerful ways to zone into the avatar properties and sellers who will take action on our direct mail marketing. </span></p> <p> </p> <p><span style="font-weight: 400;">What products do we need to be taking advantage of to scale? How can we clearly define the properties we need to be going after? </span></p> <p> </p> <p><span style="font-weight: 400;">In this episode, we talk to CEO of KWElite and host of The Team Building podcast, Jeff Cohn. We share the tools that can help agents and investors market more effectively. <br /> <br /></span></p> <p><strong>Three Things You’ll Learn In This Episode </strong></p> <p><strong>Why direct mail still works so well<br /></strong>A lot of businesses are missing out on opportunities by just being digital. Direct mail is still a highly effective marketing channel, especially when it’s done with the right technology, the right software and targeted to the right people. Direct mail is the perfect way to generate seller leads that aren’t already actively listed with somebody. </p> <p><span style="font-weight: 400;"> </span></p> <p><strong>The power of data stacking<br /></strong><span style= "font-weight: 400;">Success in investing starts with the data we’re feeding our lead generation and follow up engine. Data stacking allows us to target people based on multiple pain points or points of value. Predictive analytics and data stacking gives us refined information and details so we’re not wasting our direct mail on the wrong people. </span></p> <p><span style="font-weight: 400;"> </span></p> <