How the Relitix 5-year batting average metric predicts long-term real estate agent success leveraging AI

It is commonly said in real estate that 20% of the agents do 80% of the business. As more senior agents retire out of the business, newer agents are invaluable for replacing that volume. However, newer agents also come with much unpredictability. The reality is that most new agents entering the business today will not be around in 5 years.

The listing effectiveness grade is our first line of sight, looking into agent performance 3-18 months back. Relitix takes it a step further with the “five-year batting average” score, an AI-driven metric, tracking how often agents consistently convert listings into closings over five years. The five-year batting average alongside the listing effectiveness grade, provides clear insights on historical sales performance and current agent effectiveness.

The five-year batting average tracks the percentage of listings an agent has closed over the past five years, excluding the last six months. The listing effectiveness grade, in contrast, measures how well an agent has handled current listings over the past 3-18 months. By viewing these metrics side by side, you can spot-check agent performance over time, see rising stars and isolate agents who would benefit from coaching.

For example, some agents may score a higher listing effectiveness grade over a five-year batting average, highlighting recent improvements. These agents are trending upward. Flip it over and you have agents who are trending downward and can be flagged for follow-up and coaching. Watch the lesson below to learn how you can leverage five-year batting average alongside the listing effectiveness grade to spot improvements and downturns in agent performance.