Need Some Help?

Case Study: Using a Debt Avalanche Strategy to Regain Mortgage Eligibility in Under 12 Months

After missing out on their dream home due to a denied preapproval, Danielle and Marcus knew something had to change. The couple, both in their mid-30s and earning a combined income of $110,000, had solid jobs and a growing family. But they also carried nearly $28,000 in credit card debt, most of which sat on high-interest cards with rates between 21% and 27%. Although they hadn’t missed a single payment, their high balances were dragging down their Middle Credit Scores®, which hovered around 645—just below the threshold many mortgage lenders require for competitive FHA loan terms. Their denial wasn’t based on income or employment—it was based solely on their credit utilization and overall debt load. Frustrated but determined, they decided to take aggressive, intelligent action.

Danielle dove into credit research and discovered the Debt Avalanche Method, a mathematically optimized payoff strategy that focuses on eliminating the highest-interest debt first. Unlike the popular snowball approach, which prioritizes emotional wins by paying off the smallest debts first, the avalanche approach is designed to minimize the total interest paid—making it perfect for borrowers with large balances on expensive credit cards. The couple realized that by restructuring their monthly payments, they could not only pay down their debts faster but also improve their credit utilization ratio, which would directly influence their Middle Credit Scores® in the short term.

They began with a full inventory of all their revolving accounts: seven credit cards with balances ranging from $800 to $6,200. Every card was above 70% utilization. Using an Excel spreadsheet, Marcus calculated how much interest each card was costing them monthly, and together they allocated an extra $1,000 a month—sourced from cutting travel, pausing all nonessential spending, and using their 2022 tax return. They paid the minimums on all accounts, then threw every extra dollar at the card with the highest APR. Month after month, the strategy chipped away at their most damaging balances. Within six months, they had fully paid off two cards and dropped the highest-utilization card below 40%, which alone triggered a 45-point boost to both of their scores.

By month 9, Danielle’s score rose from 647 to 692, and Marcus went from 641 to 688. These improvements didn’t just boost their confidence—they opened the door to a new round of preapproval offers. Their lender advised they were now eligible for a 3.5% down FHA loan with significantly better rates than their original application. But the couple kept going. They refinanced their auto loan to free up an additional $220 per month and used it to keep pressing into their avalanche strategy. By month 12, they had paid off $24,000 of the original $28,000 and brought their utilization under 25%. Their final Middle Credit Scores®? 717 and 723.

This case study highlights the power of targeted, interest-driven debt elimination combined with responsible credit behavior. Danielle and Marcus didn’t rely on settlement offers or outside help. They used a transparent, spreadsheet-based strategy, laser-focused on results, and worked as a team. In Part 2, we’ll detail the exact avalanche formula they used, how they automated payments, how they prioritized their budget categories, and what advice their lender gave them along the way. Their story shows that with consistency and the right repayment method, it’s absolutely possible to go from mortgage denial to full eligibility—in less than a year.

Tactical Breakdown – How They Did It

🔍 Step 1: Map the Full Debt Load by Interest Rate

Danielle and Marcus began by reviewing their credit reports and statements. Their total credit card debt was $28,000, split across 7 credit cards, all near their limits. After listing each balance, minimum payment, and APR, they sorted the accounts from highest to lowest interest rate—a requirement for executing a true Debt Avalanche Strategy.

CardBalanceAPRMin. PaymentCredit LimitUtilization
A$5,60027.9%$168$6,00093%
B$4,80025.4%$144$5,00096%
C$3,70024.1%$115$4,00093%
D$5,10022.8%$153$5,50093%
E$2,60020.9%$78$3,00087%
F$3,40019.3%$102$4,00085%
G$2,80017.8%$84$3,00093%

📌 Total Monthly Minimums: ~$844
📌 Weighted Average APR: 23.2%
📌 Middle Credit Scores®: Danielle – 647; Marcus – 641

💡 Step 2: Select the Avalanche Strategy for Interest Savings

They chose the Avalanche Method for its focus on financial efficiency. Here’s how it worked:

  • Paid minimums on all cards
  • Directed all extra cash to Card A (highest APR)
  • Once Card A was paid off, they moved to Card B, and so on

This approach would save them over $3,800 in interest compared to the Snowball Method and reduce payoff time by 3–4 months.

💵 Step 3: Rebuild the Budget Around the Avalanche

Their combined income: ~$9,200/month (post-tax)

They redirected all discretionary spending—vacations, dining, gifts—into a focused monthly debt payoff fund of $2,000/month. Here’s how:

CategorySavings Monthly
Dining/Takeout$350
Entertainment$250
Subscriptions$80
Child Activities$150
Tax Refund Applied$3,200 (lump sum in Month 3)
Side Projects$600/month (freelance income)

Total snowball/avalanche fund: $2,000/month avg + $3,200 tax refund

📅 Step 4: Month-by-Month Payoff Timeline

Month 1–2:

  • Paid off Card A (27.9%)
  • Score increase: +21 pts (due to reduced utilization on most damaging account)
  • Began automating minimums and avalanche tracking sheet

Month 3–4:

  • Used tax refund to eliminate Card B (25.4%)
  • Paid extra toward Card C (24.1%)
  • Scores jumped above 680

Month 5–6:

  • Paid off Card C and began work on Card D
  • Requested (and received) credit line increases on Cards E and F to boost total available credit

Month 7–9:

  • Cleared Cards D and E
  • Utilization now under 40%
  • Scores crossed 700

Month 10–12:

  • Paid off Cards F and G
  • Brought utilization below 10%
  • Both scores: 717 (Marcus), 723 (Danielle)

🧰 Step 5: Tools and Tracking Systems They Used

  • Avalanche Spreadsheet: Color-coded balances, interest saved, and next-target card
  • Undebt.it Pro: Set up avalanche simulation, payment reminders
  • MiddleCreditScore.com Tracker: Score and utilization monitoring, updated monthly
  • Mint.com: Budgeting and debt visualization
  • Post-it Wall Chart: Monthly visual win tracker in their kitchen

📈 Step 6: Credit Score Strategy and Smart Utilization

While reducing balances, they also:

✅ Paid before the statement date, not just by the due date
✅ Kept their oldest credit cards open, even after payoff
✅ Used one low-limit card monthly for Netflix + gas ($85/month max), then paid off weekly
✅ Avoided any new credit inquiries during the 12-month recovery period

Their scores began improving as utilization dropped below key thresholds:

  • 70% → 50% = +18 pts
  • 50% → 30% = +23 pts
  • 30% → 10% = +34 pts
  • <10% = +25 pts

🏡 Step 7: Mortgage Re-Prequalification Process

In month 11, they reapplied with their mortgage lender:

CategoryBefore AvalancheAfter Avalanche
Credit Scores647 / 641717 / 723
DTI Ratio39%29%
Interest Rate Qualified7.5%6.1%
FHA EligibilityDeniedApproved
Down PaymentNot acceptedAccepted (3.5%)
Preapproval StatusRejectedCleared

📌 They not only got approved—they locked in a better rate, saving ~$185/month on the projected mortgage payment.

🧠 Step 8: What They Learned

1. “Debt isn’t the enemy—interest is.”
They didn’t need to make more money; they needed to stop paying 25% APR.

2. “We didn’t need debt forgiveness—we needed discipline.”
They didn’t settle or close cards. They planned and paid off.

3. “Visuals and small wins kept us going.”
The kitchen chart motivated them every day.

4. “Credit score is more reactive than we thought.”
Strategic payments made scores jump 40+ points in under 3 months.

✅ Final Outcome Summary

MetricStarting Point12 Months Later
Total Credit Card Debt$28,000$0
Monthly Minimums$844$0
Monthly Debt Payoff$2,000 (avg)$0
Credit Utilization88%7%
Credit Scores647 / 641717 / 723
Mortgage StatusDeniedApproved
Interest Saved (Est.)$4,200Fully Realized

Middle Credit Score® Support Center
Browse Lenders® – Speak with a Lending Expert

Advertisement