How to Use Pending Sales Data in Your CMA

If you build CMAs the same way every time—closed comps first, active listings second, and maybe a quick glance at pendings—you’re probably leaving money on the table for your clients and credibility on the table for yourself.

Pending sales are one of the most useful data points in a CMA because they show where the market is headed, not just where it has been. For real estate agents, that matters. Closed sales are backward-looking. Active listings are aspirational. Pending sales sit in the middle and often reveal the most current pricing behavior in the market.

Used correctly, pending data can help you:

justify a tighter or wider price range
spot a shift in buyer demand before closings catch up
identify which features are driving offers
avoid overpricing a listing based on stale sold data

Here’s how to use pending sales data in a practical, agent-focused way.

Why Pending Sales Matter in a CMA

A closed sale tells you what someone paid weeks or months ago. A pending sale tells you what buyers are agreeing to pay now.

That difference is huge in fast-moving or uneven markets.

For example:

In a neighborhood where the average closed sale price last month was $615,000, but the most recent pendings are clustering around $640,000 to $655,000, you may be seeing upward pressure that closed comps haven’t fully reflected yet.
In a softening market, you might see closed sales still holding at 98% of list price, while pendings are going under contract at 94% to 95% of list with more concessions. That’s a warning sign that buyers have more leverage than the closed data suggests.

Pending sales are especially useful when:

inventory is changing quickly
the market is seasonal
you’re pricing a home in a micro-market with limited sold comps
a listing has unique features that make closed comps less reliable

Start With the Right Pending Sales

Not every pending sale belongs in your CMA. A common mistake is grabbing every pending in the zip code and calling it “market data.” That’s too broad to be useful.

Instead, narrow pending sales by:

property type: single-family, condo, townhouse, etc.
price band: ideally within 10% to 15% of the subject property
location: same subdivision, school district, or true comparable area
bed/bath count and size: similar functional utility
condition and upgrades: renovated vs. original condition
days on market: a 4-day pending means something different than a 52-day pending

Example

If you’re pricing a 3-bed, 2-bath, 1,850-square-foot home in a suburban neighborhood:

A pending 2-bed condo downtown is not relevant.
A pending 4-bed, fully renovated home with a pool may be useful only if the subject also has premium upgrades.
The best pending comp is likely the one that matches the subject on location, size, and condition—even if it’s not perfect.

A good rule: include pendings that help explain buyer behavior, not just ones that are easy to find.

Use Pending Sales as a Pricing Signal, Not a Standalone Comp

Pending sales should support your pricing strategy, not replace closed sales. Think of them as a market-temperature check.

Here’s how to use them in practice:

1. Check the list-to-pending ratio

If a home listed at $725,000 went pending at $710,000, that’s a sign the market may be negotiating below ask. If multiple pendings are closing in that same range, you can adjust your pricing narrative accordingly.

Watch for patterns like:

near-list pendings: strong demand, seller-friendly market
2% to 4% under list: normal negotiation range in many markets
5%+ under list: possible overpricing, buyer resistance, or appraisal concerns

2. Compare pending price per square foot

If your closed comps average $312/sq ft, but recent pendings are at $328/sq ft, don’t ignore that. It may indicate that the market has moved up, especially if the pendings are getting multiple offers.

But don’t stop at the number. Ask:

Are the pending homes more updated?
Are they on better lots?
Did they have stronger marketing?
Were they priced more strategically to attract bidding?

3. Evaluate time to pending

Days on market to pending is a powerful signal.

0–7 days: likely underpriced or highly desirable
8–21 days: healthy demand
30+ days: possible pricing friction or condition issues

If the subject property is similar to a pending that went under contract in 5 days, that’s a strong support point for your pricing recommendation.

Read the Market Dynamics Behind the Pending

Pending data is most useful when you interpret the story behind it.

In a seller’s market

You may see:

fast pendings
offers above list
waived contingencies
minimal concessions

In this environment, pending sales can justify a more aggressive list price, especially if closed comps are lagging behind current demand.

In a balanced market

You may see:

pendings close to list price
moderate days on market
selective buyer behavior
sensitivity to condition and staging

Here, pending data helps you fine-tune pricing within a narrow range. A difference of $10,000 to $15,000 can determine whether a listing gets traction in the first 10 days.

In a buyer’s market

You may see:

longer DOM before pending
price reductions before contract
seller credits or repair requests
fewer multiple-offer situations

In this case, pending sales are critical because they show what buyers will actually accept right now—not what sellers hope to get.

Present Pending Data the Right Way in Your CMA

Agents often make the mistake of burying pending sales in a spreadsheet and never explaining what they mean. That weakens the CMA.

Instead, present pending data as a supporting market indicator. A strong CMA narrative might say:

Closed sales establish the historical pricing baseline.
Active listings show current competition.
Pending sales reveal the direction of buyer demand and likely near-term pricing pressure.

Practical presentation tips

Use pending sales to answer these questions for your client:

Are buyers paying more or less than the closed comps suggest?
Is the market accelerating or slowing?
How much room is there between list and contract price?
Is the subject property positioned above or below the current contract trend?

If you’re presenting to a seller, this is where you can explain why a recent closed comp at $600,000 may not be the best ceiling if three nearby pendings are already under contract at $625,000 to $635,000.

Don’t Overread One Pending Sale

One of the biggest mistakes agents make is treating a single pending like a market verdict. It isn’t.

A lone pending can be distorted by:

a motivated buyer
an off-market deal
unique financing
a listing agent pricing strategy
unusual property features

You need a sample, not a headline.

Look for:

at least 3 similar pending sales when possible
consistency in pricing direction
alignment with active inventory and recent closed sales

If one pending is far outside the norm, note it, but don’t let it drive the whole CMA.

Where AI Helps: Faster, Smarter Pending Analysis

This is where AI-powered comp research tools can make a real difference.

Instead of manually sorting through MLS data, an AI tool like CMAGPT can help you:

identify the most relevant pending sales faster
flag pricing patterns across active, pending, and closed comps
detect outliers that don’t belong in the analysis
summarize market direction in a client-ready format
compare list-to-pending trends across neighborhoods or price bands

That matters because the value of pending data depends on speed and context. If you’re preparing a CMA for a listing appointment tomorrow, you don’t have time to manually cross-check every contract status and pricing trend. AI-driven analysis can surface the right comps and help you build a stronger pricing argument in less time.

A Simple CMA Workflow Using Pending Sales

Here’s a practical process you can use on your next listing:

Pull closed comps from the last 3 to 6 months.
Add active listings to show current competition.
Review pending sales from the last 30 to 60 days.
Filter pendings by location, size, condition, and price band.
Compare list-to-pending ratios and days on market.
Look for directional trends: rising, flat, or softening.
Use the pending data to refine your price range, not replace your sold comps.

The Bottom Line

Pending sales are one of the most underused tools in a CMA. They help you move from historical pricing to current market intelligence, which is exactly what sellers need when they’re deciding how to price today.

If you use pending data correctly, you’ll be able to:

defend your pricing recommendation with more confidence
spot shifts before the closed data catches up
avoid overpricing in softening conditions
identify when the market is supporting a stronger list price

For agents, that means better CMAs, stronger listing conversations, and fewer surprises after launch.

The best CMAs don’t just show where the market has been. They show where it’s going.

How to Use Pending Sales Data in Your CMA