Relitix AI Listing Effectiveness Grade™
A data-driven approach for evaluating real estate listings and listing agents
Included with:
The listing effectiveness grade, available exclusively from Relitix, uses data science to help brokerages and recruiters evaluate listing success. It applies a clear, data-driven system to rate agents on how effectively they manage their listing inventory. It can also be used as a tool to perform individual listing reviews, which can reveal deeper intelligence on how listings are being managed compared to the rest of your inventory.
The Listing Effectiveness Grade™ helps you:
- Get clear benchmarks on how well agents manage listings.
- Gain clear insights on why certain listings may be struggling.
- Coach agents with low scores to help them close deals faster.
- Focus recruiting on agents with high scores (then check their switch likelihood).
What is the Relitix Listing Effectiveness Grade™?
The Listing Effectiveness Rating (LER) is a scientific performance benchmark for evaluating an agent’s ability to sell listings within a reasonable timeframe. It replaces guesswork and bias with hard evidence. It can also explain why some listings are moving slowly, especially in cases where a listing is managed by an agent with a low listing effectiveness score.
The LER analyzes factors such as time on market, property characteristics, expired listings, and local market conditions so you can quickly identify top performers, coach underachievers, and recruit from a list of high-value targets. Our AI analyzes data from 1.5 million agents across 180+ markets every month. This means you’re not getting guesses, averages, or bias—you’re getting a rock-solid, data-backed benchmark that you can trust for growing your brokerage.
How does it work and what do the grades mean?
The metric starts by evaluating listing success over the last 3-18 months. A high grade indicates that an agent is more likely to sell their listings faster than their peers, while a low grade explains why some listings tend to expire or remain unsold for longer periods of time. An “A” grade is the highest an agent (or listing) can achieve. Grades are assigned on a curve, with the top 20% achieving an “A” and the bottom 20% earning an “F.”
Ultimately, the LER serves as a benchmark to size up your entire agent roster (and your listing efficiency), compare your performance vs the competition and arm your agents with data-backed talking points for listing presentations when going head-to-head with rivals.
The Relitix Listing Effectiveness Grade is a data-driven framework that evaluates and ranks all agents in the MLS on a consistent curve, providing an objective measure of their listing performance, eliminating bias, and expanding firm-level benchmarking capabilities.
Watch how to do it in Relitix.
Included with:
About Relitix
Relitix profiles over 1.5 million agents in more than 180 markets nationwide to power its advanced data learning models for grading effectiveness. By applying a consistent framework across all agents in the MLS, it eliminates bias and introduces a scientifically robust method for evaluating success in listing management that expands a firm’s benchmarking capabilities.
Relitix, a leader in AI-powered brokerage management, supports real estate leaders across 180+ U.S. markets. Profiling over 1.5 million agents and brokers, Relitix delivers unparalleled insights to help brokerages recruit, coach, and retain top-performing talent while driving operational efficiency and growth. At the forefront of this innovation is the Relitix Office platform, a groundbreaking solution offering real-time intelligence on agents, offices and listings, including at-risk listings, agent performance, M&A opportunities, and competitive positioning. By leveraging advanced AI and data science, Relitix empowers brokerages to make smarter decisions, accelerate growth, and gain a definitive edge in an ever-evolving market. Learn more at www.relitix.com.
Media Contact
Relitix LLC
Email: marketing@relitix.com
Website: relitix.com
By Rob Uhrina, Head of Marketing, Relitix
Published: December 13, 2024
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