AI Coaching Case Study: 91% More Calls, 119 Deals Closed

Key results: 91% more calls, 119% more outbound, 119 deals closed, 650%+ ROI

How a 79-Agent Brokerage Grew Calls 91% With AI Coaching

A 79-agent brokerage in Florida grew outbound calls by 119%, worked 91% more leads, and closed 119 deals in four months. They did it without hiring a single additional manager.

This is the story of DJ & Lindsey Real Estate and what happened when they stopped relying on manual coaching and started using AI to analyze every sales call.

119%

increase in outbound call volume

22%

increase in agent conversation quality

$120K

additional revenue from better calls

The Coaching Problem Every Growing Team Hits

You know the math doesn’t work.

Your agents are making calls every day. Some are good. Some are terrible. Most are somewhere in the middle. And you have no idea which is which unless you sit there and listen to them yourself.

At 5 agents, that’s hard. At 15, it’s unrealistic. At 50 or more, it’s impossible.

So what happens? The agents who need coaching the most never get it. The ones who are coasting keep coasting. Your best agents develop habits you can’t replicate across the team because nobody is documenting what they’re doing right.

Meanwhile, the leads you’re paying for keep coming in. Industry data suggests that real estate teams waste 40-60% of their lead investment due to inconsistent follow-up. Not because agents don’t care. Because nobody is watching, measuring, or coaching at the speed and scale that the business requires.

This is why 87% of agents leave the industry within five years. Not because they can’t sell. Because they never get the feedback they need to improve.

DJ & Lindsey Real Estate Faced the Same Problem

DJ & Lindsey is a growing brokerage based in Saint Augustine, Florida. By late 2024, they had more than 60 agents and were scaling fast. But scaling agents is the easy part. Scaling coaching is where teams break.

Their challenges were the ones you’d recognize immediately:

  • No visibility into call quality. Managers couldn’t listen to every call.
  • Inconsistent sales techniques. Agents had varying skill levels with no standardized feedback loop.
  • Coaching that couldn’t keep up. With the team growing, personalized coaching was falling behind.
  • No clear picture of what was converting. Difficult to identify which behaviors were actually producing closings.

In October 2024, DJ & Lindsey implemented AI-powered call coaching. Every agent call — inbound and outbound — was analyzed, scored, and followed with personalized coaching feedback. No additional managers required.

Four months later, the results were in.

The Results: January to April 2025

+91% Call Volume

Total calls grew from 768 in January to 1,467 in April.

+119% Outbound Calls

Proactive outreach more than doubled — from 508 to 1,112 outbound calls per month.

119 Deals Closed

From 3,020 early-stage leads worked during the four-month period, 119 have now closed at a 3.94% conversion rate.

650-1,338% ROI

Even at the most conservative attribution model (50%), the investment returned $120,000 in incremental revenue against a $16,000 cost.

These aren’t projections. These are verified results tracked from call date to closed deal.

What Changed

The implementation was straightforward. Every call that flowed through their CRM was automatically sent to the AI coaching platform. Each call was transcribed, scored on real estate-specific criteria, and paired with coaching feedback tailored to that agent’s performance history and personality.

Agents didn’t need to request coaching or wait for a manager’s calendar to open up. Feedback arrived after every conversation. When an agent missed an opportunity to handle an objection or failed to set a clear next step, they saw it. When they nailed a rapport-building moment or closed with confidence, they saw that too.

The behavioral shift was measurable. Agents who saw their scores started self-correcting. Outbound activity compounded month over month — not because management pushed harder, but because agents built confidence through repetition and feedback. One agent improved their call quality score by 45% in four months.

The full case study breaks down exactly how this happened — the month-by-month ramp, the attribution math, and the individual agent performance data.

The Takeaway

DJ & Lindsey coaches 79 agents on every single call. They didn’t hire more managers to do it. They didn’t build a training department. They gave their agents a feedback loop that runs at the speed of their business.

If your team is making calls today without knowing what’s working, what’s not, and what each agent needs to improve — you’re spending money on leads and hoping for the best. The teams that stop hoping and start measuring are the ones that pull ahead.

Get the Full Case Study

The blog post you just read is the summary. The full case study includes everything DJ & Lindsey’s team measured over four months:

  • Month-by-month call volume and outbound data — see exactly how activity ramped from January through April
  • 3-tier ROI analysis — conservative, moderate, and full attribution scenarios with transparent math
  • Individual agent performance scores — before and after call quality ratings across the team
  • AI coaching feedback examples — real coaching output showing what agents received after each call
  • The upside analysis — what the ROI numbers don’t include (and why the real return is likely higher)

What’s next

Take Your Team to
the Next Level

Agent Coaching
Call Summary
Real Time Call Grading
Transcripts & Sentiment