“You can have data without information, but you cannot have information without data.”
Daniel Keys Moran
If this past year of being under quarantine has taught us anything, it has served to confirm the fact that humans indeed are the most adaptive species. This is especially true when it comes to big data. A few years ago, after we had searched up something on Amazon and moments later that same item appeared in our Facebook feed, we found this unsettling. Like “big brother” was watching us. Now, it’s an old hat. We practically expect it. Here is the thing, big data isn’t something new. It’s been around for ages; companies have spent millions of dollars on tracking consumer behavior, and it is just in the last few years being perfected. You can think back to the Safeway or Randall’s membership cards that provided discounts. These cards were simply ways for the food companies to predict consumer behavior, market accordingly, and thereby stock shelves and provide discounts.
How target predicted pregnancy
There is the infamous fable told initially in Forbes of how Target predicted a teenage girl was pregnant and her Father berated the Manager for mistakenly marketing to her, only to find out she was, in fact, pregnant. While the validity of this particular story has since been disproved, it doesn’t change the efficacy of Target’s big data strategy. The Target data scientists found pregnant women bought unscented lotions or, in the first 20 weeks, loaded up on supplements like calcium, magnesium, and zinc. In addition, the analysts found a variety of products that, when purchased in succession, predicted a woman’s likelihood of being pregnant. With further analysis, Target was often able to predict the due date. Based on the purchase of colored rugs or other room accessories, one could even guess the sex of the impending child.
Most people react initially with shock at this violation of privacy, but as usage and application of big predictive data are perfected, it inevitably becomes normalized. Even expected. I imagine we will come to find that the innovative home technology that we rely on, like Alexa or Google, will listen for keywords and phrases (“honey, we are out of coffee”) and respond with related offers or discounts. In other words, don’t be surprised when a coffee coupon appears on your Facebook feed.
This can all sound pretty scary, and yes, in the wrong hands, it could be misused. But I believe in the value, efficiency, and convenience that this level of predictive analysis provides, especially in the real estate industry.
Does this apply to real estate?
Imagine being able to examine your hundreds of contacts in your CRM (Customer Relationship Management) database and predict the likelihood of them Selling based on a myriad of analyzed data points. You don’t have to imagine this scenario; it’s here. The ability to analyze and predict homeowner behavior based on data points like age of home, equity, age of the children, job opportunities, and many other factors is a reality.
At Likely.AI, we have our revolutionary Database REfresh tool. Realtors and Mortgage Brokers benefit from the refinement of their customer lists. Imagine being able to take your sphere of influence list and upload them into our patented refinement tool to determine the likelihood of finding Gold without doing all the work.
With our Database REfresh tool, it’s painless. Using our Artificial Intelligence engine, you can mine your existing database for consumers likely to sell. We’ve made the process simple, confidential (we don’t share your client data), and valuable. But don’t just take our word for it, see how our partner, Cody Gibson, owner of United Home Group, benefited from this solution
How can I try this? It’s easy:
- Drag & Drop your contact database
- You will receive a text within an hour once your audit contact database is ready.
Try it out for yourself – upload your file HERE, be sure to use code OFFMARKET25 at check-out to get 25% off your first Database REfresh!! It could not be simpler.
At Likely.AI, we have spent the past few years perfecting the analysis and delivery of Likely Sellers. Our mission is to become the real estate ecosystem’s Artificial Intelligence modeling partner. Using our unique machine learning models, we deliver vetted and validated leads (aka Likely Seller) with a higher likelihood of becoming a deal than others in the industry.
From predictive modeling and complicated algorithms to deep learning and artificial intelligence, Likely.AI is a new-age lead generation tool that is changing lead quality expectations by identifying consumers’ likely real estate decisions before their decisions have been made. To learn more, you can contact Likely.AI HERE or start a Live Chat if you have questions.