From "Dear The Alexander" to "Dear Robert": How Betty is Making Property Owner Names Make Sense
Ever stared at a spreadsheet full of property owner names, feeling your soul slowly drain away as you try to figure out if you should address your letter to "Robert & The Alexander" or "Robert Alexander"? If you're in real estate, we know exactly what you're talking about.
The Name Game Nobody Wants to Play
Picture this: You've just downloaded your latest batch of property owner data. You're ready to send out some perfectly crafted letters, but then you see it – a puzzle of misclassified names that look like they've been through a blender:
- "SMITH JOHN & MARY LIVING TRUST"
- "Boehm & Robert Boehm"
- "THE ALEXANDER, ROBERT J & SHIRLEY FAMILY BuSiness"
Suddenly, your afternoon disappears into a black hole of manual corrections, second-guessing, and mild existential crisis. Should you include both names? Is this a business or a person? Why is everything in caps? Who IS The Alexander?
One of our customers put it perfectly: "I just can't let myself send mailers with ugly or obviously wrong names. But I'm trying to scale my business, not become a professional name detective!"
Enter AI Name Parsing: Your New Name-Wrangling Sidekick
We're thrilled to introduce our new AI Name Parsing feature, as a default to our lead scoring. Think of it as your very own name-sorting wizard that takes the mess out of property owner data, and gives you the lead scores. No more puzzling over proper formats or wondering if you're addressing your mailers correctly.
How It Works
Feed it any name, in any format – seriously, throw your worst at it. Our AI will:
- Identify individual owners (no more "Dear The Alexander")
- Separate owner first and owner last names clearly
- Recognize individuals, business names and trusts
- Fix common typos and weird formatting
- Give you everything in a clean, consistent format
For our customers, this translated data arrives seamlessly in your processed BETTY file, with new dedicated columns for owner_first_name, owner_last_name, and owner_business_name, making it easy to integrate into your existing workflows.
Let's See It In Action
Here are some real-world examples of the mess our AI tackles daily:
These are just a few examples of how our AI handles:
- Messy capitalizations
- Missing spaces
- Business entities with contact persons
- Trusts with multiple trustees
- Formal titles and suffixes
- Hyphenated names
- DBAs and alternative business names
- Cultural naming conventions
- Special characters and apostrophes
How do I try it?
Upload a sample file and watch the magic happen. Your future self (and your letter recipients) will thank you.
Upload your file now - CTA
P.S. It even knows what to do with "Boehm & Robert Boehm." We tested it specifically on that one and millions of others