whitepaper

Your Highest-Intent Buyers Are Sitting in Your CRM Four Times.

Duplicate records are hiding your best leads. Identity resolution reveals true buyer intent and fixes your pipeline.

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In depth

Duplicate Data Is Destroying Signal Across Your Funnel.

In most PropTech platforms, 30% to 40% of CRM records are duplicates, created from multiple listing portals, lead forms, and integrations.

A single buyer might submit inquiries across Zillow, Realtor.com, your website, and paid campaigns.

Each submission creates a new record, often with slight variations in name, email, or phone number.

In shortphone number

The detail

The Hidden Cost of Fragmented Identity.

In one PropTech platform, a buyer submitted inquiries across three portals and one direct website form.

This created four separate CRM entries with slightly different data points.

In shortThis created four separate CRM entries with slightly…

Each record was scored independently.

None of them appeared as high priority. The buyer did not receive timely follow-up from agents.

In shortThe buyer did not receive timely follow-up from agents

After implementing identity resolution, those records were merged into a single unified profile.

The system identified multiple touchpoints, signaling strong buying intent.

In shortsignaling strong buying intent

Deep dive

From Fragmented Leads to Unified Buyer Profiles.

Lead scoring models become significantly more accurate because they operate on complete buyer journeys instead of fragmented signals.

Sales teams engage high-intent buyers faster, improving response times and conversion rates.

Marketing attribution improves because touchpoints are correctly linked to a single user.

By the numbers

The figures that make it a board-level conversation.

34%

Duplicate Records

Records per Buyer

20%+

Conversion Lift

Inside the report

What you'll take away.

Probabilistic Matching

Instead of exact matches, systems use similarity scoring across name, email, phone, location, and behavior patterns to identify duplicates.

Portal Data Normalization

Different portals export data in different formats. A normalization layer converts all inputs into a consistent schema before processing.

Real-Time Deduplication

Deduplication should happen at the point of ingestion, not as a batch process. This ensures new leads are immediately matched against existing profiles.

Questions

Frequently asked.

What is identity resolution in real estate data systems?

Why are duplicate leads so common in PropTech platforms?

How do duplicates impact lead scoring models?

What is probabilistic matching and why is it needed?

Why is exact matching not sufficient?

What is a golden record?

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Next step

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Talk through how this applies to your roadmap with our engineering leads - a working session, not a sales pitch.

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