DealSheet — Real Estate Math, Not Magic The 1% Rule Challenge
CHALLENGE

The 7-Day 1% Rule Challenge:
Filter Rental Properties in 10 Seconds

7 Days — 15 Minutes/Day
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What This Challenge Delivers

Every rental property listing looks promising — until you run the numbers. The 1% Rule is the fastest filter in real estate investing: if a property's monthly rent is at least 1% of its purchase price, it passes the first screen. A $200,000 property needs to rent for $2,000/month. Simple. Brutal. Effective.

Over 7 days, you'll go from knowing nothing about this rule to building a complete deal-filtering system. Each day takes 15 minutes. You'll learn the math, practice on real listings, understand the exceptions, and finish with a personal filter you can use on every property you ever evaluate. No spreadsheet expertise required — just a calculator and 15 minutes daily.

By Day 7, you'll reject bad deals in 10 seconds instead of spending hours analyzing properties that never had a chance. That's hours of your life returned, every month, forever.

What You Need
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DAY 1

Learn the 1% Rule and Calculate Three Examples

The 1% Rule states: monthly rent must be ≥ 1% of total purchase price. A $180,000 property needs to rent for $1,800/month minimum. This isn't about whether you'd buy it — it's whether the deal deserves five more minutes of your time. Today, pull up three properties on Zillow and calculate the 1% threshold for each. Write down the purchase price × 0.01. That's your minimum rent target. If actual rent is below that number, the property fails the first screen. No emotion, no exceptions, just math.

Expected result: You'll have three properties with calculated 1% thresholds. You'll understand that most suburban single-family homes fail this rule — and that's the point. The rule filters fast so you don't waste time.
DAY 2

Find 5 Listings and Apply the 1% Filter

Go to Zillow, set your target market, and search for properties under $300,000. For each listing, calculate the 1% threshold and check local rent estimates (Zillow's Rent Zestimate, Rentometer, or Craigslist comparables). Flag any property where estimated rent meets or exceeds 1% of the asking price. Most markets will yield 1-2 passes out of 5. In Midwest and Southeast markets, you'll find more. In coastal California or Boston, you may find zero — and that's valuable information about where (not) to invest.

Expected result: A list of 5 properties with pass/fail ratings. You'll notice geographic patterns — the 1% Rule works in some markets and fails everywhere in others. This is market-level intelligence.
DAY 3

Master the 50% Expense Rule

The 1% Rule is your first screen. The 50% Rule is your second. On average, non-mortgage expenses (taxes, insurance, maintenance, vacancy, property management, capital reserves) consume about 50% of gross rent. If a property rents for $1,500/month, expect $750 in expenses before the mortgage payment. Today, take your Day 2 properties that passed the 1% Rule and estimate their net operating income (NOI) using: NOI = Monthly Rent × 0.50. A property renting for $2,000 has roughly $1,000/month NOI. That $1,000 needs to cover your mortgage AND produce profit.

Expected result: You'll see that passing the 1% Rule doesn't guarantee cash flow — it just means the property is worth analyzing further. The 50% Rule gives you a realistic NOI estimate in seconds.
DAY 4

Calculate Full Cash Flow on One Property

Pick the best property from your Day 2 list. Run the complete calculation: Purchase price, down payment (assume 25% for investment property), loan amount, mortgage payment (use 7% rate, 30-year term — roughly $6.65 per $1,000 borrowed monthly). Then: Gross rent − 50% expenses = NOI. NOI − mortgage payment = monthly cash flow. Example: $200K property, $50K down, $150K loan = $997/month mortgage. $2,000 rent − $1,000 expenses = $1,000 NOI. $1,000 − $997 = $3/month cash flow. That property passed the 1% Rule but barely cash-flows. This is why the rule is a filter, not a final answer.

Expected result: A complete cash flow analysis on one property. You'll understand that the 1% Rule gets you to the table, but cash-on-cash return determines if you sit down.
DAY 5

Learn When the 1% Rule Breaks Down

The 1% Rule is a screening tool, not gospel. It breaks down in three situations: (1) High-appreciation markets like San Francisco — a property at 0.7% might still win if appreciation averages 8% annually. (2) Value-add opportunities — a $150K property renting for $1,200 fails the 1% Rule, but a $30K renovation could push rent to $1,800, suddenly hitting 1.2% on $180K total investment. (3) Luxury properties — a $600K property renting for $5,000 (0.83%) may have lower maintenance ratios and better tenant quality. Today, find one property that fails the 1% Rule but might still be a good deal. Write down why.

Expected result: Nuanced understanding of when to override the filter. The 1% Rule catches 80% of bad deals — knowing the 20% exception makes you dangerous (in a good way).
DAY 6

Run the Numbers on 3 Real Listings

Time for speed rounds. Find three new listings in your target market. For each, run the full analysis in under 5 minutes: (1) Calculate the 1% threshold. (2) Check rent estimates. (3) If it passes, estimate NOI using the 50% Rule. (4) Subtract estimated mortgage payment. (5) Calculate cash-on-cash return: Annual cash flow ÷ Total cash invested (down payment + closing costs + any repairs). A property returning under 8% cash-on-cash is mediocre. Under 5% is a pass. Over 12% is worth a deep dive. Time yourself. The goal is speed and pattern recognition.

Expected result: Three complete deal analyses completed in 15 minutes total. You'll feel the speed advantage — what used to take an hour now takes five minutes per property. This is the compounding benefit of the system.
DAY 7

Build Your Personal Deal Filter System

Today you assemble everything into a repeatable system. Write down your personal filter thresholds: (1) Minimum 1% ratio: ___% (most investors use 1%, some use 0.8% in high-appreciation markets). (2) Minimum cash-on-cash return: ___% (8% is common, 12%+ preferred). (3) Maximum property age: ___ years (older = more maintenance). (4) Target markets: list 2-3 cities/areas. (5) Maximum price point: $_____. Now you have a one-page filter. Any property that doesn't meet these criteria gets rejected in 10 seconds. No emotional attachment, no "what if." Print this. Put it next to your computer. Every listing gets measured against it.

Expected result: A completed personal deal filter document. You now reject bad deals in 10 seconds and spend your analysis time only on properties that passed every screen. This is what separates investors who close from investors who browse.

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