Case Study / Real Estate Deal Monitoring System

A custom system that helps real estate investors find deals before everyone else on the internet.

We built this for a Los Angeles based real estate investment company who needed more than alerts. The system continuously monitors 30+ sources, detects new opportunities fast, enriches them with county-level property data, and routes them into one operator workflow so the team can move while there is still an edge.

Client

Real Estate Investment Company

Coverage

30+ monitored sources across listings, groups, and feeds

Outcome

Faster discovery, faster context, faster first contact

Company Profile

A source-heavy acquisitions business that needed speed, context, and one place to operate.

Market

Greater Los Angeles and surrounding areas

Team

6-person acquisitions and lead-handling team

Source Mix

Facebook Groups, Zillow, Craigslist, ForSaleByOwner, PropStream, manual submissions, county records

Previous Stack

Browser tabs, saved searches, spreadsheets, DMs, emails, and scattered county lookups

The Challenge

The investor did not need more listing websites. The investor needed a speed advantage.

The acquisitions team was manually checking Facebook groups, Zillow, Craigslist, and multiple other sources throughout the day. Average time from listing posted to internal review was 3.1 hours, which in this kind of business is a nice way to be second.

The team was reviewing roughly 140-190 raw opportunities per week, but most of that effort was wasted on manual triage, duplicate checking, and piecing together property context from multiple places.

Even when a promising listing appeared, the team still had to pull assessor details, cross-check ownership context, decide whether it fit the buy box, and figure out who should respond. Fast lead discovery was being canceled out by slow internal handling.

Audit Highlights

37% of team time was spent just checking sources and gathering context before outreach
22% of opportunities were reviewed too late to create a real first-mover advantage
4-6 separate lookups were typically required before a lead was ready for action
18% of reviewed leads were duplicate sightings from different platforms
Only 1 shared view existed for team coordination, and it was a spreadsheet

The Architecture

Built around the real operational chain: monitor, qualify, enrich, route, act.

System Layer

Source Monitoring Layer

Continuous monitoring across 30+ sources, including Facebook Groups, Zillow, Craigslist, FSBO-style listings, PropStream, and additional tracked feeds. The system was built so the investor could expand source coverage without expanding headcount.

System Layer

Lead Detection And Filtering

New listings are checked immediately against business-specific filters like price, geography, property type, and investment criteria. The software does the first pass so the team is not buried under raw noise.

System Layer

County And Public-Record Enrichment

Once a lead is detected, the platform attaches county-level assessor and public-record details to give the acquisitions team a better starting point than the original post ever would.

System Layer

Routing And Operator Workflow

Qualified leads land inside one dashboard, can be assigned by market or criteria, and move through a workflow built for review, notes, prioritization, and immediate follow-up.

The useful part was not just seeing a new listing first. The useful part was seeing it with enough context, in one place, fast enough that the team could actually do something with it before everyone else started circling.

Implementation

Rolled out in stages so the team could use it early, then keep tightening signal quality over time.

01

Source Coverage + Intake

Connected the first source set, normalized incoming listings, and created one live dashboard for new opportunities.

02

Filtering + Enrichment

Added buy-box filtering and county-level enrichment so the team could see what mattered without opening five more tabs.

03

Routing + Team Views

Introduced assignment logic, operator workflows, and team-specific handling so different agents could cover different opportunity types without overlap.

04

Alerting + Refinement

Tightened alerting, reduced noisy matches, and tuned the system around the investor's actual deal preferences and response process.

Results

The system reduced delay, cut manual triage, and gave the team a real speed advantage on qualified opportunities.

<10 min

Average lead-to-dashboard time

From 3.1 hours

68%

Reduction in manual source-checking time

Across the acquisitions team

2.4x

Increase in same-hour outreach

On qualified opportunities

84%

Lead records enriched automatically

Before human review

31%

Fewer duplicate reviews

Across overlapping sources

1

Unified operator workspace

Instead of tabs plus spreadsheets

Value Created

Estimated commercial impact across time recovered, earlier outreach, and added acquisition capacity.

Value Driver
Amount
Methodology
Time recovered from manual source checking
$6.4K-$8.9K / month
Hours saved x blended acquisitions-team cost
Faster first-contact advantage on qualified leads
$11K-$19K / month
Modeled lift from earlier outreach on high-intent opportunities
Duplicate review and admin reduction
$2.1K-$3.4K / month
Reduced wasted review cycles and handoff time
Higher operator throughput without hiring
$4.8K-$7.2K / month
Equivalent capacity gained versus adding another coordinator
Estimated Monthly Total
$24.3K-$38.5K
Combined impact from time recovered, faster first contact, and higher operator throughput.

Need Something Like This?

If your business depends on speed, signal quality, and acting before everyone else, generic software is usually where the problem starts.

We build custom business software around real workflows, ugly inputs, edge cases, and actual commercial pressure. Real estate just happens to be one very obvious example.