Maya has narrowed her Chicago home search to two places she would enjoy living in. Home A costs $450,000. Home B costs $480,000. Both meet her needs, and she can comfortably afford either. She expects to stay for seven years.
At first, Home A seems like the stronger financial choice. Why pay another $30,000? But Maya also wants to understand how the home she buys could build equity. She decides to investigate whether Home B’s appreciation potential could justify its higher cost.
1. The free deep dive gives her a better question
She starts with the Chicago deep dive, following price history from the metro through its counties and neighborhoods. She sees why a broad market headline leaves important differences unexplored.
The history prompts a question about her shortlist: does it make sense to apply the same growth assumption to both homes? The deep dive gives her context for that question. Each address still needs its own analysis.
2. The free toolkit shows her what appreciation changes
Next, Maya opens the Buyer’s Toolkit. Its guides and calculators are free, with no account needed. She uses the ownership-cost calculator to explore both homes with her down payment, mortgage terms and ongoing costs.
She begins with the same growth rate for both. Home B needs more cash at closing and a larger monthly budget. Then she changes the appreciation assumption and sees how much it affects the equity she might have after seven years. She now understands why the growth rate matters, but choosing that rate herself leaves a key question unanswered.
The question that takes her to the app
3. The first free analysis makes it specific to a home
Maya creates an account and runs her first property analysis free. She examines the home’s score within its local market, its measured market edge and its estimated appreciation pace. She reads the confidence and range alongside the estimate and checks the comparable sales.
The score is a relative rank, not an annual growth percentage. The estimated appreciation pace combines the local market’s pace with the home’s measured market edge. This gives her a property-specific starting point to examine alongside the asking price and ownership costs.
4. Paid access lets her compare the financial tradeoff
Maya purchases access to analyze the second home and use Investor Return for both properties. She selects primary-residence mode and enters the financing, costs and holding period she wants to compare. Investor Return can use each home’s estimated appreciation pace, and she can change those assumptions.
For this fictional example, suppose Home A’s pace is 3% a year and Home B’s is 4%. These are invented rates to demonstrate the workflow; no real addresses were scored for this story. In an actual purchase, Maya would inspect the estimates and their uncertainty before using them.
With the assumptions below, Home B needs $6,600 more cash at closing and about $217 more in the first month, including upkeep. Maya can cover both while keeping her savings cushion. Now she can ask whether the potential longer-term advantage is worth those additional commitments.
Illustrative inputs · Live calculation
What changes when appreciation changes?
These fictional homes use the same calculation engine as Investor Return. The 3% and 4% rates are invented assumptions, not estimates from scored addresses. Switch scenarios to test Maya’s reasoning.
After 7 years · 3% for A / 4% for B
$24,678 lower net ownership cost for Home B
Home B returns $50,996 more cash at sale after selling costs and loan payoff. Maya also pays $26,318 more into it during ownership, including the extra down payment and closing costs. That leaves B ahead by $24,678 in this scenario.
| Purchase price | $450,000 | $480,000 |
|---|---|---|
| Assumed appreciation / year | 3% | 4% |
| Cash to close | $99,000 | $105,600 |
| Month-one budget, including upkeep | $3,350 | $3,567 |
| Home value in year 7 | $553,443 | $631,647 |
| Remaining loan at sale | $326,009 | $347,742 |
| Equity before selling costs | $227,435 | $283,905 |
| Selling costs | $38,741 | $44,215 |
| Net sale proceeds after loan payoff | $188,694 | $239,690 |
| Total cash paid during ownership | $383,380 | $409,698 |
| Net ownership cost after sale | $194,687 | $170,008 |
See all assumptions and what the totals mean
Both use 20% down, a 30-year fixed mortgage at an illustrative 6.5%, buying costs of 2%, selling costs of 7%, and annual upkeep of 1% of the scenario home value. Taxes, insurance and HOA fees total $700/month for A and $740/month for B and stay constant. No rental income is included.
Total cash paid includes the down payment, buying costs, mortgage payments, taxes, insurance, HOA fees and upkeep. Net ownership cost subtracts sale proceeds after selling costs and loan payoff from that total. Equity includes the down payment, principal repaid and assumed price change; it is not profit.
Utilities, moving, renovations, tax effects, inflation and the return Maya could earn elsewhere on her extra cash are excluded. The comparison is in nominal dollars and does not discount future cash flows. Actual costs and growth can differ.
At 3% for A and 4% for B, Home B produces about $50,996 more in net sale proceeds after seven years. Maya has also put about $26,318 more cash into it. Accounting for that additional spending leaves B with roughly $24,678 lower net ownership cost in this scenario.
That is the comparison she needed. A larger equity number on its own could simply reflect a larger down payment or more money paid into the home. She checks the additional cash committed against what the sale might return.
5. She checks what happens if appreciation disappoints
Maya switches both homes to the same growth rate, then to flat prices. When both stay flat, Home A has about $18,602 lower net ownership cost. Home B’s advantage depends on its stronger appreciation assumption; she can see the consequence if that difference fails to materialize.
She also checks a sale after three years. A shorter hold changes how much time appreciation has to offset the costs of buying, financing and selling. The scenario controls above let you make the same comparisons.
She chooses Home B with a clear reason for paying more
Maya chooses the $480,000 home. It fits her everyday needs, its higher costs remain comfortable, and she considers the stronger estimated appreciation potential worth the additional commitment over her planned seven-year hold.
She understands that the projected advantage is uncertain and that the cheaper home fares better in the flat-price comparison. Before making an offer, she takes her remaining questions about comparable sales, financing and the property’s condition to her agent, lender and inspector.
The benefit she gets today is a better-informed decision: she knows why she is willing to pay more, what that choice costs, and which assumptions support it. Future appreciation will determine how the financial outcome actually unfolds.
Use the same process for your shortlist