Sticker Value is an automated property value estimate built into your dataset. It gives you a fast reference point for each property's estimated worth — so you can filter, compare, and prioritize leads before running comps.

Sticker Value is generated from publicly available real estate data and market trends. It is not an appraisal, certified valuation, or guaranteed market price. Use it as a starting point for deal analysis.

How It Works

Once processed, Sticker Value appears as a dedicated column in your property dataset. No extra steps — it's built into your file.

Filter properties by estimated value range
Compare values across your dataset at a glance
Prioritize acquisition targets before running comps

Pricing

$2.50 per 1,000 records processed
Records Cost
1,000 $2.50
10,000 $25.00
50,000 $125.00
100,000 $250.00

Pricing is based on the total number of properties in your file.

How to Request

Submit your request before fulfillment begins — at least 5 business days (ideally 7 days) in advance.

This lead time ensures values are processed and included in your delivery. Late requests may require a separate processing cycle.

Common Use Cases

Lead Prioritization Rank properties by estimated value to focus on your target range
Deal Screening Quickly flag properties worth deeper analysis
Market Comparison Compare estimated values across counties or zip codes

FAQ

Where do I find it in my file?

Look for the column labeled "Sticker Value" in your property dataset.

How is the value calculated?

It uses an automated valuation model (AVM) based on property data, comparable sales, and market trends from public records.

How accurate are the estimates?

Sticker Value uses First American Title data — one of the most reliable large-scale property data sources. Treat it as a reference point, not a final number.

Can I request it after fulfillment starts?

It may not make the initial delivery. Contact your account team to arrange a separate processing run.

What if I find a value that looks wrong?

Report it directly to our team. We investigate and resolve discrepancies.