Data Cleanup for Real Estate

Automate Data Cleanup for Real Estate

Stop wasting time on manual data cleanup. Our Harvard-educated automation experts build custom data cleanup workflows specifically for Australian real estate businesses, saving you 8+ hours/week.

8+ hours/week

Time saved

$1,500+/month

Cost reduction

98%

Client retention

2 weeks

First prototype

Book Free Assessment View All Workflows

The Problem

Manual data cleanup creates these challenges for real estate businesses.

Manual data cleanup wastes hours every week that your team could spend on higher-value work

Property listings require manual updates across multiple platforms

Errors in data cleanup create downstream problems across your real estate operations

Trust account management involves excessive manual reconciliation

Automated Workflow

Here is how we automate your data cleanup end to end.

Quality Assessment

Scan your database for duplicates, incomplete records, and outdated information.

✓ Tool: Google Sheets
✓ Action: Assess quality

Deduplication

Identify and merge duplicate records based on matching rules.

✓ Tool: Zapier
✓ Action: Remove duplicates

Standardisation

Standardise formats for phone numbers, addresses, company names, and other fields.

✓ Tool: Zapier
✓ Action: Standardise data

Enrichment

Enrich records with missing data from external sources where possible.

✓ Tool: Zapier
✓ Action: Enrich data

Quality Reporting

Generate data quality scorecards and track improvement over time.

✓ Tool: Google Sheets
✓ Action: Report quality

Tools Involved

We connect these tools into a seamless automated workflow.

Zapier

Google Sheets

HubSpot

Slack

Benefits

What you gain when you automate data cleanup.

Cleaner Data Across Your Data Cleanup Workflow

Automated data cleanup means data enters your real estate systems once, correctly. Eliminate duplicate entries, formatting inconsistencies, and stale records.

Consistent Data Cleanup Every Time

Remove variability from your data cleanup process. Whether it is your best performer or newest hire, the outcome is identical and audit-ready.

Free Your Team from Repetitive Data Cleanup

Nobody joined your team to do manual data cleanup. Automation handles the repetitive work so your people can focus on strategy, creativity, and client relationships.

Scale Data Cleanup Without Scaling Headcount

Handle double or triple the data cleanup volume without hiring additional real estate staff. Automation absorbs growth so your team stays lean and focused.

Compliance & Regulations

Supports Real Estate Institute compliance, trust account management requirements, and state property legislation documentation.

Data Cleanup for Real Estate Automation FAQ

Most data cleanup automations for real estate businesses are up and running within 2 weeks for a working prototype, with full implementation typically completed in 4-8 weeks. We start with a free assessment to understand your specific workflow and then build in phases so you see value quickly.

We work with a wide range of tools including Zapier, Google Sheets, HubSpot, and many more. Our integrations are custom-built to your requirements, so if you use a specific tool not listed, we can almost certainly integrate it. We currently support over 150+ tools and platforms.

We quote after a free assessment where we map your real estate workflow end to end. This ensures the price reflects exactly what you need - no unnecessary features inflating the cost, and no surprises after kickoff.

No. We build automation around your existing real estate tools and processes. Our approach is to enhance what you already have, not force you onto new platforms. We connect your current systems together so data flows automatically without your team changing how they work.

Errors are caught and handled automatically - retry logic resolves transient failures, while persistent issues trigger instant alerts to your team. With 3 months of post-launch support included, your automation stays reliable from day one.

Definitely. A phased rollout lets us tackle the biggest pain points in your data cleanup process first. Each phase is standalone and delivers measurable value, so you are never waiting months to see results.