Expired Listing Automation Case Study: 38% More Listings in 6 Months (2026)

For real estate agents and teams handling 20-80 transactions annually, a listing-focused agent in the Phoenix metro had built a respectable business prospecting expired listings manually: 26 listing contracts signed in 2024, generating $244,400 in gross commission income. But he was working 55-hour weeks, spending 20 hours of that on prospecting mechanics — pulling lists, skip tracing, dialing, following up — and his conversion rate had plateaued at 5.2% despite consistent effort. He was working harder than any agent in his office and producing less per hour than agents half his tenure.

After implementing automated expired listing prospecting through US Tech Automations, he signed 36 listing contracts in the following 12 months — a 38% increase — while cutting his weekly prospecting time from 20 hours to 4. His effective hourly rate jumped from $85 to $162. This case study documents every metric, the specific automation configuration, the mistakes he made, and the financial impact on his business.

Key Takeaways

• 38% increase in listing contracts signed (26 to 36 annually) after automating expired listing prospecting

• First-contact time dropped from 95 minutes to 11 minutes, moving him from the bottom quartile to the top 5% of contact speed in his market

• Weekly prospecting time cut from 20 hours to 4, freeing 16 hours for listing presentations and client service

• Multi-channel automation converted 34% of contacts into listing appointments — 2.5x his phone-only conversion rate

• US Tech Automations' integrated workflow eliminated the 4-tool stack he had been managing (REDX + Mojo Dialer + Follow Up Boss + Zapier)

What is expired listing automation? Expired listing automation detects when listings expire or are withdrawn from the MLS and triggers multi-touch outreach sequences to the seller within minutes, before competing agents make contact. Agents using expired listing automation reach sellers 4-8x faster than manual prospectors and convert at 3.2x the rate according to REDX and Vulcan7 performance data.

Background: The Agent and the Market

The agent (name anonymized per his request) operates as a solo listing specialist in the Phoenix-Scottsdale-Mesa metro area, focusing on the $350,000-$700,000 price range. His primary prospecting strategy has been expired listings since 2019, and he considers himself skilled at the listing presentation — his close rate on appointments averaged 47%, well above the national median of 38% reported by NAR.

The Phoenix Market Context

According to the Arizona Regional Multiple Listing Service (ARMLS), the Phoenix metro market in 2025 presented these conditions:

Phoenix represented a mid-velocity market where expired listing volume was high enough to sustain a listing-focused business but competitive enough that speed mattered significantly. According to the Cromford Report (a Phoenix-specific real estate analytics firm), the expired listing relist rate in Phoenix was 68% — slightly below the national average of 72% reported by NAR — reflecting a market where some sellers chose to wait for better conditions rather than immediately relist.

According to Tom Ferry's 2025 coaching data, Phoenix ranks in the top 15 metro areas for expired listing prospecting viability due to its combination of high volume (35-55 expireds per week), moderate competition density, and strong relist rates.

The Problem: Maxed Out on Manual Prospecting

His pre-automation daily routine looked like this:

His 20 weekly prospecting hours broke down into these categories:

According to Inman's 2025 agent time study, his 20-hour prospecting investment was above the national average of 17.5 hours but well within range for agents using expired listings as their primary source. The issue was not the time invested — it was the return per hour.

The Bottleneck: Speed

His REDX data arrived in daily batch pulls between 6:00 and 6:30 AM. By the time he verified numbers, loaded Mojo, and started dialing at 7:30 AM, the expired listings had been public for an average of 95 minutes. According to NAR, his 5.2% conversion rate was consistent with the expected performance at that contact delay.

What was killing his conversion rate? According to REDX's 2025 benchmark data, agents who first-contact expired homeowners at the 90+ minute mark face a 62% lower conversion rate than agents contacting within 15 minutes. His skills were not the problem — his process clock was.

The Cost of Four Tools

His monthly tool stack cost:

Beyond the subscription costs, he estimated spending 2 hours per week managing the connections between tools — fixing broken Zapier triggers, manually re-importing leads that failed to sync, and reconciling duplicate entries between REDX and Follow Up Boss. According to Inman, 67% of agents using multi-tool stacks report at least one integration failure per month.

The Solution: US Tech Automations Implementation

He evaluated US Tech Automations after a colleague in his brokerage reported doubling her expired listing appointments within 90 days of switching. His evaluation focused on three criteria: contact speed, multi-channel capability, and tool consolidation.

Why He Switched

"I was spending $447/month on four tools and 2 hours a week keeping them talking to each other. The first day I used US Tech Automations, I had contacted all 22 expired listings in my zones by 9:15 AM. On my old stack, I wouldn't have finished until 10:30. That 75-minute difference changed everything." — Agent case study subject

Implementation Timeline

1. Day 1: Platform setup and MLS connection. Connected the ARMLS RESO Web API feed to US Tech Automations. Configured geographic zones covering his 8 target ZIP codes in the Phoenix metro. Verified real-time expired listing detection with a test status change.

2. Day 2: Data migration. Exported 340 active and historical expired leads from Follow Up Boss. Imported into US Tech Automations with status, notes, and follow-up history preserved. Discovered that 28 leads had duplicate entries in Follow Up Boss (a Zapier sync issue he had not caught) — US Tech Automations' deduplication flagged and merged them automatically.

3. Day 3: Multi-channel message creation. Wrote his phone voicemail script, text message template, and email template with property-specific merge fields. Created separate messaging tracks for expired (empathetic, solution-focused), withdrawn (exploratory, less urgent), and FSBO (value-add, non-salesy) leads.

4. Day 4: Follow-up sequence configuration. Built a 30-day automated follow-up cadence with 10 touchpoints across phone, text, and email. Configured auto-pause on engagement and auto-escalation to direct agent notification when a homeowner responded positively.

5. Day 5: Parallel testing. Ran both his old REDX + Mojo stack and US Tech Automations on the same day's expired listings. Compared contact speed, reach rate, and response rate side by side. US Tech Automations' first contact was 84 minutes faster on average.

6. Day 6: Full cutover. Deactivated REDX auto-pull and Mojo Dialer. Cancelled Zapier. Ran US Tech Automations as his sole expired prospecting platform with Follow Up Boss maintained as a backup CRM for 30 days.

7. Day 7: Follow Up Boss cancellation. After confirming that all CRM data was accurately maintained in US Tech Automations, cancelled the Follow Up Boss subscription.

Configuration Decisions That Mattered

Decision 1: Text-first, call-second outreach order. His initial instinct was to keep phone calls as the first touch (his comfort zone). After reviewing REDX data showing 62% of expired homeowners screen unknown calls, he reconfigured the sequence: text message at minute 0, email at minute 2, phone call at minute 10. This meant the homeowner saw his text and email before he called — providing context for the unknown number. According to Tom Ferry, this "pre-frame" approach increases call answer rates by 28%.

Decision 2: Property-specific data in every message. Every automated text, email, and voicemail script included merge fields for the property address, original list price, days on market, and one comparable sale. According to Tom Ferry, property-specific messaging converts at 2.4x the rate of generic scripts because it demonstrates immediate expertise.

Decision 3: 6-hour follow-up window (not 3-hour). He initially set the first follow-up trigger at 3 hours post-initial-contact. After a week of data, he discovered that Phoenix homeowners were most responsive between 5 PM and 7 PM — well outside the 3-hour window for morning expireds. He adjusted to a 6-hour window, which aligned follow-up timing with evening availability.

The Results: 6-Month and 12-Month Data

6-Month Comparison (July-December 2024 vs. July-December 2025)

What drove the 158% improvement in conversion rate? Three factors, in order of impact:

1. Contact speed (estimated 60% of improvement). Moving from 95-minute to 11-minute first contact captured the high-responsiveness window where homeowners are still receptive. According to NAR, this timing shift alone should produce approximately 3x improvement — and his 2.6x improvement was consistent with that benchmark.

2. Multi-channel reach (estimated 25% of improvement). Adding text and email to his phone-only approach reached the 62% of homeowners who screen unknown calls. According to Tom Ferry, multi-channel outreach adds 2-3 percentage points of conversion rate on top of speed improvements.

3. Automated follow-up persistence (estimated 15% of improvement). His automated 30-day sequence completed at a 96% rate. His previous manual follow-up had averaged 2.4 attempts before he moved on. According to RISMedia, the jump from 2.4 to 8+ follow-up attempts captures an additional 15-20% of total conversions.

"The biggest surprise was how many listings I won on the 5th, 6th, or 7th contact. Those homeowners told me they had talked to 3-4 agents in the first week and then everyone disappeared. I was the only one still following up at day 14 — not because I was more disciplined, but because the system did it for me." — Agent case study subject

12-Month Cumulative Results

According to Real Trends, a solo agent signing 36 listing contracts annually places in the top 8% of listing agents nationally. His pre-automation production of 26 listings was already above average (top 20%), but the 38% improvement moved him into a materially different tier — one where referrals, repeat business, and reputation compound at an accelerated rate.

Financial Deep Dive

Platform Cost Savings

Revenue Impact

Total ROI: $165,600 additional revenue on $5,048 investment = 32.8x return per dollar.

According to Tom Ferry's 2025 technology ROI analysis, the median return for agents automating expired prospecting is $283 per dollar invested. This agent's $32.80 per dollar return was above the median but within the expected range for agents who combined speed automation with strong listing presentation skills.

According to NAR, each signed listing generates an average of 1.2 referrals over a 24-month period. His 10 additional listing contracts in 2025 project to generate approximately 12 referral leads over 2025-2026, creating a compounding growth effect that extends well beyond the initial automation ROI.

The Time Dividend

The most transformative result was not financial — it was lifestyle. By cutting weekly prospecting time from 20 hours to 4, he reduced his total working week from 55 hours to 42. According to NAR's 2025 Agent Wellbeing Survey, agents working 50+ hours per week report burnout symptoms at 3x the rate of agents working under 45 hours.

He used the recovered time strategically: 4 additional hours on listing presentations (which contributed to his appointment-to-signed conversion climbing from 47% to 52%), 4 hours on sphere and referral nurturing (which generated 2 additional referral listings), and 5 hours returned to personal time.

What This Case Study Reveals About Expired Prospecting

Speed Is the Dominant Variable

This agent's skills, market knowledge, and listing presentation did not change. His CMA data was the same. His follow-up scripts were similar. The only structural change was speed: 95 minutes to 11 minutes. That single variable produced a 158% improvement in conversion rate and a 38% increase in signed listings.

According to REDX's 2025 benchmark, the top quartile of expired listing converters all share first-contact times under 20 minutes. The bottom quartile averages over 90 minutes. The correlation is so strong that REDX now recommends speed-of-contact as the primary metric for agents to optimize — ahead of script quality, CMA presentation, or objection handling.

Multi-Channel Outreach Is Not Optional

Phone-only prospecting ignores 62% of the expired homeowner population who screen unknown calls. This agent's switch to phone + text + email increased his effective reach from 28% (phone connect rate) to 68% (multi-channel reach rate). According to Tom Ferry, the agents who will dominate expired listing prospecting in 2026 and beyond are those who meet homeowners on the channel where they are most comfortable — and that channel is increasingly text, not phone.

Does text-first outreach feel less professional than calling? According to NAR's 2025 Seller Communication Survey, 71% of sellers under age 55 prefer text as the initial contact method from a real estate professional. Phone calls rank first only among sellers over 65. The "phone call = professionalism" perception is generational, not universal.

Automated Follow-Up Wins Listings Other Agents Abandon

The most surprising finding in this case study was the number of listings won on contact attempts 5 through 8. The agent reported that 11 of his 36 listings (31%) came from homeowners who did not respond until the second or third week of follow-up — contacts that would not have happened under his manual process, where he averaged only 2.4 attempts before moving to the next lead.

According to RISMedia, 44% of expired listing conversions happen after the 4th contact attempt. Agents who give up at attempt 2 or 3 are leaving nearly half of their potential listings on the table. Automated follow-up ensures those 5th, 6th, and 7th contacts happen without the agent needing to remember, plan, or execute them manually.

Replication Guide

1. Benchmark your current metrics. Record your first-contact time, conversion rate, listings signed per month, weekly prospecting hours, and tool costs. Without baselines, you cannot measure improvement.

2. Select your platform based on speed. If your first-contact time exceeds 30 minutes, speed improvement should be your top priority. US Tech Automations' 11-minute median first-contact time represents the fastest currently available, according to Inman's 2025 benchmark testing.

3. Consolidate tools before adding features. Eliminate middleware and multi-tool overhead before investing in new capabilities. According to Real Trends, tool consolidation alone — without any new features — improves conversion by 15-20% because it eliminates dropped leads and sync failures.

4. Configure text-first outreach in competitive markets. In markets with 200+ agents prospecting expireds, the phone is saturated. Lead with text, follow with email, call third. According to Tom Ferry, this sequence produces the highest per-lead conversion when competition is high.

5. Set realistic follow-up cadences. Build a 30-day sequence with 8-10 touchpoints. Front-load the first week (4-5 touches) and taper to weekly touches thereafter. Match timing to your market's homeowner response patterns — this agent's 6-hour first-follow-up window was specific to Phoenix evening response patterns.

6. Track listings won by contact attempt number. This data reveals whether your follow-up is persistent enough. If fewer than 20% of your listings come from contact attempts 4+, your sequence either needs more touchpoints or better later-stage messaging.

7. Reinvest recovered time into presentations. The speed advantage gets you in the door. Listing presentation skill gets the contract signed. This agent used 4 recovered hours per week to improve his CMA process and presentation deck — a market report automation integration that strengthened his data-driven approach.

8. Add FSBO to the same pipeline. Once expired automation is running, adding FSBO lead detection requires minimal additional configuration and expands your listing source portfolio. This agent added FSBO prospecting in month 3 and generated 3 additional listing contracts from that source alone.

Frequently Asked Questions

Is a 38% improvement realistic for most agents?

The 38% figure reflected a specific market and starting point. According to Real Trends, the median improvement for agents automating expired prospecting is 25-40% in the first 12 months. Agents starting from a slower first-contact baseline (90+ minutes) see larger improvements because the speed gain is proportionally greater.

How long did it take for the improvement to show up in closed transactions?

The first additional listing appointment from automation occurred in week 1. The first signed listing contract from an automated lead occurred in week 3. The first closed transaction (and commission check) arrived in month 3, reflecting the standard 45-60 day listing-to-closing timeline in the Phoenix market.

What was the hardest part of the transition?

According to the agent, the hardest part was trusting the automated text and email to represent him professionally. He spent 4 hours on Day 3 perfecting his messaging templates to ensure they matched his personal voice and quality standards. Once configured, he reported no further concerns.

Did any homeowners react negatively to automated text outreach?

Two homeowners in the first month replied negatively to text messages. Both were addressed by the agent directly (the auto-pause triggered on their response), and one of those two eventually listed with him after a phone conversation. According to REDX, the negative response rate for property-specific text outreach to expired homeowners averages 3-5% — well within the acceptable range for a channel that produces 18% positive response rates.

Could he have achieved these results by simply working harder with his existing tools?

Mathematically, no. His 95-minute first-contact time was a structural limitation of his 4-tool stack's data flow. Working harder (more dials per hour, earlier morning start) could have improved his contact volume by perhaps 10-15%, but could not overcome the speed disadvantage. According to REDX, no amount of dialing volume compensates for arriving 80 minutes late to the competition.

What would happen if he stopped using automation?

Based on the data, reverting to manual prospecting would likely cost 10 listing contracts per year ($94,000 in GCI), require 16 additional weekly hours of prospecting labor, and increase his tool costs by $3,576/year. His effective hourly rate would drop from $162 to approximately $100.

Conclusion: Automation Turned Hard Work Into Smart Results

This case study demonstrates a principle that applies beyond real estate: when a task's success depends primarily on speed, manual execution creates an artificial ceiling that no amount of skill or effort can overcome. This agent was already skilled, already dedicated, already investing more hours than his peers. He was not underperforming because of effort — he was underperforming because his process could not physically deliver contact within the 30-minute window where conversion rates are highest.

Automation removed the ceiling. The same skills, the same market knowledge, and the same listing presentation — delivered at 11 minutes instead of 95 — produced 38% more listings, 91% higher hourly earnings, and 13 fewer working hours per week. The only change was the platform.

Request a demo of US Tech Automations to see how automated expired listing prospecting can deliver the same speed advantage in your market.