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Projecting approval improvements...

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We're analyzing thousands of data points to identify your revenue opportunities and provide actionable recommendations.
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Calculating policy restrictiveness...
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Modeling turnover & leasing activity...
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Projecting approval improvements...
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Generating revenue insights...

Your Estimated ROI from Switching to Rent Butter

Estimated Annual ROI

$221,430

Net annual return from switching to Rent Butter
Avoided Turnover Costs

$103,680

14 fewer defaults annually
Faster Rent Collection

$165,000

11% improvement in on-time payments
Screening Cost

-$47,250

Annual screening investment
Based on Rent Butter customer performance data: • Average cost of turn: $7,200 • Default reduction: 36% • On-time rent collection improvement: 11 percentage points

Additional Opportunity with Rent Butter Optimization

By working with the Rent Butter team to adjust screening variables and evaluate applications holistically, your portfolio could unlock additional annual revenue.
Additional Annual Revenue Opportunity

$317,925

From approving 16% more qualified renters through optimized screening

Approval Rate Comparison

Total Potential Financial Impact
Immediate ROI

$221,430

+

Additional Revenue

$317,925

Combined Annual Impact

$539,355

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Rental Approval Opportunity Report

Screening Policy Analysis
Company
Metro Properties Group
Portfolio Size
250 units
Market
Austin, TX
Report Generated
March 17, 2026

Executive Summary

Estimated Approval Rate Improvement

+15%

From 62% to 77% approval rate
Potential Revenue Opportunity

$95,217

Estimated annual revenue from increased approvals
Key Screening Observation
Your current credit score threshold of 650 is strict compared to industry benchmarks. Adjusting this threshold could approve more qualified borderline renters while maintaining acceptable risk levels.
Bottom Line: By optimizing your screening criteria, you could approve 4 additional qualified renters per month, generating approximately $7,935 in monthly revenue with minimal additional risk.

Portfolio Snapshot

Portfolio Details
Total Units

250

Average Rent

$1,850

Market

Austin, TX

Current Screening Criteria
Credit Score Cutoff

650+

Income Requirement

3.5x rent

Eviction Policy

Moderate

Analysis Note
This analysis is based on your current screening policies and market data. The simulated Rent Butter approach uses data-driven decision making to optimize approval rates while maintaining acceptable risk levels.

Approval Rate Analysis

Current Approval Rate

62%

Optimized Approval Rate

77%

Improvement

15%

Approval Rate Comparison

Approval Lift: +17%
Rent Butter's data-driven screening approach would increase your approval rate from 55% to 72%, allowing you to approve 19 more qualified applicants per month without significantly increasing risk.

Applicant Segment Breakdown

Understanding the Borderline Segment

Borderline applicants represent the biggest opportunity for revenue growth. These are renters who may have:

Traditional screening auto-rejects these applicants, but Rent Butter's holistic evaluation approach identifies which borderline renters are actually good risks.

  • Credit scores slightly below your threshold (e.g., 620-650)
  • Stable income but just under 3x rent requirement
  • Past rental issues but strong recent payment history

Borderline Renter Approval Comparison

Current Approach
Your current policy approves only 25% of borderline applicants.

This conservative approach minimizes risk but leaves significant revenue on the table.
Rent Butter Opportunity
With Rent Butter, you could approve 65% of borderline applicants.

That's a +40% increase in borderline approvals through advanced risk assessment.

Revenue Opportunity

Estimated Annual Revenue Opportunity

$348,300

Based on increased approvals with optimized screening
Additional Approvals

19

per month
Average Rent

$1,500

per unit
Monthly Revenue

$29,025

additional
Revenue Calculation
Additional approvals/month:19
Average rent:$1,500
Monthly opportunity:$29,025
Annual opportunity:$348,300
What This Means
By optimizing your screening criteria, you're not lowering standards—you're making smarter, data-driven decisions.

This additional revenue comes from approving qualified renters who were previously auto-rejected due to rigid thresholds, not from accepting higher-risk applicants.

Risk Comparison

Risk Remains Manageable
The slight increase in estimated default rate (+6.0%) is well within industry acceptable ranges and is primarily concentrated in moderate-risk segments, not high-risk applicants.

Rent Butter's comprehensive screening approach identifies borderline applicants with strong compensating factors (stable employment, rental history, co-signers) that traditional screening overlooks.
Current Policy

64.0%

Estimated default rate
Rent Butter Simulated

70.0%

Estimated default rate

Key Screening Insights

Adjust Credit Score Threshold
Your current 680 minimum is stricter than most comparable portfolios. Lowering to 650 could increase approvals by 5-8% while maintaining acceptable risk levels.
Credit Policy
High Impact
Optimize Income Requirements
Income requirement of 3.5x is higher than industry standard. Reducing to 3.0x rent could expand your qualified applicant pool by 10-15% without materially increasing risk.
Income Policy
High Impact
Refine Eviction History Policy
Your current blanket rejection approach may exclude qualified renters with explainable circumstances. Context-based evaluation (reason, timeframe, resolution) could recover 8-12% of otherwise qualified applicants.
Eviction Policy
Medium Impact
Holistic Policy Review
Your screening policy is stricter than 93% of comparable portfolios. A comprehensive review of thresholds could unlock significant revenue while maintaining quality standards.
Policy Strategy
High Impact
Borderline Renter Opportunity
The biggest opportunity lies in your borderline applicant segment. These renters have credit scores between 630 and 680, but many have strong compensating factors that make them excellent long-term tenants. Rent Butter's holistic screening can identify which borderline applicants to approve with confidence.

See How Rent Butter Evaluates Real Applications

Rent Butter uses advanced data analytics to evaluate tenant applications holistically, identifying qualified renters that traditional screening misses. Our platform helps you increase approvals, boost revenue, and maintain risk controls—all while staying Fair Housing compliant.

Instant Decisions
Automated screening in seconds, not days
Data-Driven Optimization
Platform continuously refines screening recommendations
Compliance Built-In
Fair Housing compliant, documented decisions
Questions about this report?
sales@rentbutter.com
This analysis is based on industry benchmarks and your provided data. Actual results may vary.