Your BuyBox defines exactly which properties match your acquisition criteria -- location, property type, price range, owner profile, and distress signals. Every property in your list is scored against your BuyBox, and that score drives which Action Plan it enters, which marketing channels activate, and how aggressively your team pursues it. A well-configured BuyBox is the single highest-leverage setting in the platform.

What a BuyBox Does

A BuyBox is a custom acquisition profile that filters and ranks every property in your market. It evaluates properties against your stated criteria and produces a BuyBox Score (0-100) reflecting how closely each property matches your ideal deal. The closer the match, the higher the score.

Focus Marketing Spend your budget on properties that actually fit your criteria instead of blasting an unfiltered list.
Prioritize Leads Properties with higher BuyBox Scores enter more aggressive Action Plans, so your best opportunities get reached first.
Automate Fulfillment Direct mail, skip trace, and SMS campaigns are triggered automatically based on BuyBox-driven Action Plan assignments.
Refine Strategy Review BuyBox performance monthly with your CSM. Adjust criteria as your market knowledge deepens or deal flow shifts.

How to Create a BuyBox

Navigate to yourdomain.8020rei.com/buybox and click New BuyBox. Select Market Reverse BuyBox (MRBB) as the type. Name it clearly -- for example, "Houston - Residential - Q3" -- and click Save.

Always click Next to save your changes between steps. Progress is not saved automatically.

Step-by-Step Setup

Step 1: County Selection

Group counties whose median property prices differ by less than 25% into the same BuyBox. If price differences exceed 25%, create separate BuyBoxes. Exception: Land and Commercial property types are less sensitive to county-level price variation.

Step 2: Property Types

Select one or more property types: Single Family (SFH), Multifamily (MF), Vacant Land, or Commercial. Each type can have its own size and value filters. For mixed strategies, consider separate BuyBoxes per property type to keep scoring accurate.

Step 3: Value and Size Ranges

Set the total value range (estimated market value), square footage range, lot size, and year built. These filters narrow the universe to properties that match your deal economics.

Step 4: Owner Criteria

Define the owner profile you want to target: absentee owners, years of ownership, equity percentage, owner type (individual, trust, corporate), and flags like deceased or out-of-state. These criteria heavily influence the BuyBox Score.

Step 5: Distress Indicators

Select the distress signals that indicate seller motivation: pre-foreclosure, probate, divorce, bankruptcy, tax liens, code violations, and vacant property flags. Properties matching more of your selected distress indicators score higher.

Step 6: Exclusions

Exclude property types, HOA communities, or specific lists (e.g., tax sale lists, condos) that do not fit your strategy.

Understanding the BuyBox Score

Every property receives a BuyBox Score from 0 to 100 based on how well it matches your configured criteria. The score is calculated using weighted variables:

ZIP Code Geographic match to your target areas. Exact ZIP matches score highest.
Owner Type Individual, trust, or corporate ownership. Matches to your selected preference score higher.
Property Type SFH, multifamily, land, or commercial. Exact type matches score highest.
Equity & LTV Loan-to-value ratio and estimated equity. Higher equity properties typically score better for acquisition strategies.
Years Owned Duration of current ownership. Longer ownership often correlates with higher equity and greater willingness to sell.
Value Range How closely the property's estimated value falls within your target range.

The BuyBox Score combines with the Likely Deal Score (seller motivation from distress signals) to produce the overall 8020REI Score, which determines Action Plan assignment. A property can have a high BuyBox Score but low Likely Deal Score, or vice versa -- both factors matter.

What Is a Market Reverse BuyBox (MRBB)?

The Market Reverse BuyBox is the recommended BuyBox type. Instead of you manually defining every threshold, the MRBB analyzes your selected counties' market data and reverse-engineers the optimal criteria based on actual deal activity and property characteristics in those markets.

This means the system recommends value ranges, property type distributions, and owner profiles that reflect what is actually working in your target geography -- not just what you assume is working. You can accept, modify, or override any recommendation.

BuyBox Validation

After setup, your Customer Success Manager reviews and validates your BuyBox to ensure the criteria produce a healthy lead volume and align with realistic deal economics. Validation checks include:

  • Lead volume -- enough properties match to sustain consistent marketing.
  • Market alignment -- your price ranges and property types reflect actual market conditions.
  • Score distribution -- a reasonable spread across Urgent, High, and Low tiers rather than clustering in one tier.
  • Exclusion impact -- your exclusions are not accidentally filtering out high-potential properties.

Your CSM may suggest adjustments during validation. Review your BuyBox monthly as market conditions change and your deal history provides new data points.

Frequently Asked Questions

How many BuyBoxes should I have?

One per distinct market or property strategy. If you invest in residential SFH in Houston and vacant land in rural Texas, those should be separate BuyBoxes. Grouping dissimilar markets or property types into one BuyBox dilutes scoring accuracy.

Can I change my BuyBox after setup?

Yes. You can modify criteria at any time, and scores will recalculate on the next data refresh. Work with your CSM on significant changes to avoid disrupting active campaigns.

What is the difference between BuyBox Score and Likely Deal Score?

The BuyBox Score measures property fit -- how well a property matches your criteria. The Likely Deal Score measures seller motivation -- how many distress signals indicate the owner may be ready to sell. Together they form the 8020REI Score that drives Action Plan assignment.

Why are some properties scored low even though they seem like good deals?

The score reflects how well the property matches your configured criteria. If a property is in a ZIP code you did not select, or its value falls outside your range, its BuyBox Score will be low regardless of its objective quality. Review and expand your criteria if you consistently see good deals scoring low.

BuyBox IQ: The 4-Step Process

Your BuyBox is not static. It evolves through a continuous refinement cycle:

  1. Analyze Past Deals — We review your closed transactions and market data to identify the patterns that predict successful acquisitions.
  2. Define the Buy Box — Build your success criteria based on those patterns. This is your "recipe" — the specific combination of location, property type, price range, and distress signals that match your business.
  3. Review & Refine — Monthly CSM meetings review performance data. Your BuyBox is formally updated every 90 days based on deal outcomes and market shifts.
  4. Execute — Three monthly lists (Direct Mail, Cold Calling, SMS) are generated from your refined BuyBox, each scored and segmented into 30/60/90-day Action Plans.

BuyBox IQ identifies the 20% of properties that generate 80% of revenue. Instead of blasting a generic list, you focus budget on properties with the highest probability of conversion.

"Our best lead channel is 8020REI, it has provided more deals than any other source. One month, we even cleared 7-figure revenue!"

Phil Green — IBUY SD (600+ deals/year)

Why This Is Different

Others hand you static data. PropStream lists are not exclusive — every competitor in your market has the same records. 8020REI gives you a competitive advantage: proprietary scoring, continuous refinement, and lists that improve every month based on your actual deal outcomes.

"The real thing that's changed our business is being able to have transparency into all the data."

Ben Wagner — 200+ deals/year