Lesson 10: Visualize the Age of Inventory Across All Listings [List Risk / Part 2]
Lesson 10: Visualize the Age of Inventory Across All Listings [List Risk / Part 2]
Lesson 9 revealed how to use AI-powered intelligence to detect at-risk listings. But why stop there? Here’s the next step: visualize aging listings across your entire sales pipeline, research price changes and where you can ensure listing agents get the support, they need for the right listings at the right time. Relitix's new office product features a dedicated "Aging" tab, allowing you to track aging listings across your entire portfolio and focus on the right listings at the right time. Smarter tools. Sharper decisions. Maximum impact.
Introducing AI-Powered "List Risk" Intelligence How healthy is your real estate listing pipeline? Find troubled listings fast with AI-level precision. How healthy is your real estate listing pipeline? Introducing the Listing Age Metric for ...
Discover Top "Ready to Move" Agents Before Your Competition Here's the ultimate daily search for savvy real estate recruiters. Which agents in my market are great at handling listings and show signs they are likely to switch firms? Want to know how ...
Q: Why would an agent be flagged as a switch risk? A: Our machine learning system could flag an agent for many reasons. It could be a recent acceleration or decrease in production. An agent could also be flagged if they stop or slow their typical ...
Relitix's switch risk grade assesses the likelihood of an agent to change brokerages in the next 3 months. Relitix pioneered the use of predictive modeling to assess agent movement likelihood in 2018 and has been continually producing this metric ...
The Most Accurate Way to Track Long Term Agent Success The five-year batting average is an AI-driven metric, tracking how often agents consistently convert listings into closings over time. The five-year batting average alongside the listing ...