0
0
0

Predictive AI tools to consider in 2023

by Anne Ewasko

The change brought on by artificial intelligence (AI) has begun. It has already made possible self-driving cars and voice-activated home systems; now it is changing the playing field for real estate agents, as well. Understanding the potential uses for predictive AI can result in getting more of those much-needed listings in a fraction of the time and cost of traditional methods.

What is predictive AI?

In generic terms, predictive AI is a data analysis technique that may foresee and anticipate future demands or occurrences. With the use of powerful algorithms that evaluate enormous quantities of predetermined data or user activity, it can provide precise, near-term predictions. This makes it possible to anticipate trends or identify behavioral patterns of its users.

Why is predictive AI so useful in real estate?

The real estate market is quite data-driven now, and predictive AI is being used to identify who is most likely to sell. Investing in AI technology will help agents generate new leads and gain much-needed listings in this low-inventory market. Predictive AI employs algorithms to recognize and target homeowners most likely to sell their homes soon, allowing agents to focus on these homeowners who matter most for potential listings and not on unlikely prospects, saving enormous time and money.

Predictive AI tools to try this year:

Catalyze AI

Catalyze AI is a predictive business development platform that pinpoints a targeted geographical market to help you expand your business quickly. It uses big data and artificial intelligence to assist real estate agents in finding new listings in their geo-farm.

Catalyze AI can determine which prospects have the highest probability of selling their homes due to its integration of behavioral analytics, event-driven data, and real-time and historical data.

Pros
Customizable user interface and dashboard
40% sell prediction accuracy
Targeted geographical advertising
All leads located 50 miles or less from
the agent
Exclusive leads uploaded monthly

Cons
Price is vague
Not completely available in all markets

Likely.AI

Likely.AI allows real estate agents to find and forecast their ideal clients’ buying patterns. Its algorithms analyze data from many sources and produce insights that can help agents find the right prospects to target. It can not only anticipate likely sellers, but also fix incorrect contact information and set up auto-alerts so you don’t miss out on opportunities. In other words, it will ensure that you are one of the first to know if a prospect is behaving like a potential seller. Likely.AI charges a fee “per contact” starting at $0.80 each.

Pros
Updates missing and inaccurate contact information
Automated notifications

Cons
Relatively pricy

SmartZip

SmartZip provides real estate agents with accurate listing leads in their geo-farm and has systems in place to connect with these prospects through automated marketing and follow-up. Agents can increase their chances of success by concentrating on this group of homeowners and tailoring their marketing initiatives to a highly responsive audience, saving valuable time and resources with the use of the service’s automated marketing.

Pros
Robust tools for agents to create a presence in their geo-farm
Personalized landing pages for brand-building
Adaptable, focused marketing

Cons
Prices are vague
No trial offer
Non-binding leads

Bottom line

So, is AI taking over the real estate industry? No, but it is becoming a necessary tool to win in this highly competitive arena. Let predictive AI take the guesswork out of prospecting and lead generation to save you time and money. The data will drive you to that most likely prospect, and you can be the first in line to win that listing. Winning more listings will increase your bottom line, and who wouldn’t want that?

Anne Ewasko is a veteran Realtor in the Chicago area and a longtime techie. Visit her at anne.luxhomechicago.com.

Read More Related to This Post

Join the conversation

New Subscribe

  • This field is for validation purposes and should be left unchanged.