How to Use Sold Data from the Last 30 Days vs 6 Months

Why the Time Window Matters More Than Most Agents Think

When agents build a CMA, the biggest mistake is not finding comps — it’s using the wrong time window for the market they’re pricing in.

A sold comp from last 30 days and a sold comp from 6 months ago can both be “relevant,” but they answer different questions:

Last 30 days tells you what buyers are paying right now
Last 6 months tells you what the market has been doing over time

If you use the wrong one, you can easily overprice in a cooling market or underprice in a rising one. That’s where listings stall, price reductions pile up, and agents lose credibility with sellers.

The key is not choosing one or the other. It’s knowing when each data set should drive your pricing recommendation.

When Last 30 Days Should Lead the CMA

Use the last 30 days of sold data when the market is moving quickly. That usually shows up as:

Rising or falling inventory
Frequent price reductions
Shorter days on market
Multiple-offer activity changing week to week
Mortgage rate shifts affecting buyer demand

In these conditions, older solds can distort reality.

Example: Fast-moving suburban market

Imagine a 3-bed, 2-bath home in a neighborhood where:

6 months ago, similar homes sold at $485,000–$495,000
30 days ago, the same style of home sold at $515,000–$525,000
Active inventory has dropped from 18 homes to 9 homes
Median days on market fell from 21 to 9

If you price off six-month-old data, you may recommend $495,000 and leave money on the table. But if you lean into the last 30 days, you can justify a list price closer to $519,000–$529,000, especially if condition and upgrades match.

What to watch in the last 30 days

Recent solds are most useful when:

The home is in a tight, active submarket
The property type is common enough to produce enough comps
Buyers are responding to new rate conditions or seasonal demand shifts
You need to establish a current market value for a seller who wants precision

This is especially important for:

Entry-level homes
New construction competition
Condo markets
Neighborhoods with low inventory
Markets where pricing changed after a rate movement

When 6 Months of Sold Data Is the Better Anchor

Six-month sold data matters when the market is thin, inconsistent, or too noisy in the short term.

Use a longer window when:

There are too few sales in the last 30 days
The neighborhood has low turnover
Seasonality is affecting volume
One unusual comp could skew the last month
You need to see the broader trend before making a pricing call

Example: Low-volume luxury market

A $1.8M home in a luxury enclave may have only:

1 sale in the last 30 days
5 sales in the last 6 months
2 of the recent sales were distressed or had unusual concessions

If you only use the last 30 days, you may be forced to price off a single outlier. That’s risky.

In this case, the 6-month window gives you a better sample size and helps you identify:

What buyers accepted across multiple transactions
Whether pricing softened gradually
How long it takes to move inventory at that price point

For luxury, unique properties, rural homes, or custom builds, six months is often the minimum useful window. Sometimes even 12 months is needed, but only if you adjust carefully for market movement.

The Best Approach: Use Both, Then Weight Them

Strong CMAs don’t rely on one timeframe alone. They blend the short-term signal with the broader trend.

A practical way to think about it:

Last 30 days = current pulse
Last 6 months = trend line
Active and pending data = where the market is heading

If the last 30 days are clearly stronger than the 6-month average, that suggests appreciation or tightening inventory. If they’re weaker, the market may be softening.

Simple weighting framework

For a typical listing, you might weight data like this:

40% last 30 days
40% last 90 days
20% last 6 months

That’s not a rule — it’s a starting point.

If the market is stable, a longer average may be fine. If the market is changing fast, increase the weight of the most recent sales.

For example:

In a stable market: 30% recent / 70% broader window
In a fast-rising market: 60% recent / 40% broader window
In a volatile market: focus heavily on the most recent 30–60 days and use older solds only as context

How to Spot Market Direction from the Data

Agents should not just pull solds and average them. You need to read the market like a chart.

Look for these signals:

1. Price per square foot trend

If sold price per square foot is rising over the last 30 days versus the last 6 months, that’s a sign of increasing demand or shrinking supply.

Example:

6-month average: $312/sq ft
Last 30 days: $328/sq ft

That gap may justify a stronger list price, especially if the home has better condition, lot, or updates than the older comps.

2. Days on market compression

If DOM is dropping, buyers are acting faster and likely competing harder.

Example:

6-month average DOM: 24
Last 30 days DOM: 11

That’s a real pricing signal. It means the market may be absorbing properly priced homes faster than it did earlier in the year.

3. List-to-sale ratio

If the recent solds are closing at 98%–101% of list, but older sales were closer to 95%–96%, the market may be strengthening.

4. Concessions and seller credits

A sold comp can look strong on paper but still reflect a weaker market if the seller paid $10,000 in closing costs or offered a rate buydown. Agents should look beyond headline price.

Real-World Pricing Scenarios

Scenario 1: Seller wants top dollar in a rising market

A homeowner says, “My neighbor sold for $640,000 six months ago, so I want $650,000.”

Your response should be data-based:

Last 30 days show similar homes selling at $655,000–$665,000
Inventory is down 22%
Two pending sales went under contract in 4 days

Here, the 6-month comp supports the floor, but the 30-day data supports an aggressive list price. You can confidently recommend pricing at $659,900 or even $664,900 depending on condition.

Scenario 2: Seller is anchored to outdated highs in a softening market

A seller wants to list at $780,000, but:

6 months ago, homes were closing near $775,000
Last 30 days show closed sales closer to $748,000
Active inventory has increased
Price reductions are becoming common

If you use only 6-month solds, you risk overpricing. The last 30 days are telling you the market has shifted. In this case, a list price around $749,900–$759,900 may be more realistic.

Scenario 3: Thin inventory, few recent sales

A rural property has only one sale in the last 30 days, but six sales in the last 6 months.

Here, the 6-month data gives you statistical reliability, while the 30-day sale may be too thin to stand alone. Use the recent comp as a directional indicator, not the entire pricing model.

How AI Tools Help Agents Use Both Windows Better

This is where AI-powered comp research tools like CMAGPT become especially useful.

Instead of manually comparing spreadsheets, AI can help agents:

Surface the most relevant solds faster
Group comps by property similarity, not just distance
Detect trend shifts between 30-day and 6-month windows
Flag outliers, concessions, and unusual DOM
Summarize pricing patterns in plain language for seller presentations

That matters because the real value isn’t just in finding comps — it’s in interpreting them correctly.

A good AI tool can help you answer questions like:

Are recent sales trending above or below the 6-month average?
Which comps should be weighted more heavily?
Is the market accelerating or cooling?
Are older solds still relevant, or are they misleading?

Agents who use data-driven analysis can explain their pricing with confidence instead of saying, “I just think this is the number.”

A Practical Rule of Thumb

Use this simple framework:

Last 30 days: best for fast-moving markets and current pricing pressure
Last 6 months: best for low-volume, unique, or noisy markets
Both together: best for most CMAs, with heavier weighting on the most recent sales when the market is shifting

If you only use six-month solds, you may miss momentum. If you only use 30-day solds, you may overreact to short-term noise.

The strongest agents know how to balance both — and explain why.

Final Takeaway

A great CMA doesn’t just show what sold. It shows what matters now.

The last 30 days tell you where the market is headed today. The last 6 months tell you whether that move is part of a trend or just a blip. When you combine both, you give sellers a pricing strategy that is grounded, defensible, and more likely to produce results.

That’s the real edge: not more data, but better use of the data.