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NAR Research engagement report

@NAR_Research - 157K followers on X

Measured over 35 original posts from a 30-day window, last computed on September 23, 2026.

Engagement

Middle of its size range
Per follower
0.013%
of 157K followers
Per impression
1.35%
1.6K views on a typical post
Reach
1.00%
of its followers see a post
Typical post
21
interactions (median)
Saved
0.064%
1 bookmarks on a typical post
Posting rate
1.33/day
active 100% of days
Peak time
13:00 UTC
Monday

A typical post picks up 21 interactions against 157K followers, an engagement rate of 0.013%. Measured over 35 original posts, its engagement rate beats 25% of 15,519 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 1.6K times each, and 1.35% of those impressions turn into an interaction. That is about 0.995% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 13:00 UTC, and Monday is the busiest day of the week. Of the 35 posts sampled, 83% carry an image or video and 80% link out. The account's strongest tracked post pulled 46 interactions, about 2.2x its own typical post. Recurring topics include #narehs, #narphs.

Measured over 35 original posts from a 30-day window, last computed on September 23, 2026. Recurring tags: #narehs, #narphs.

Compared with accounts its own size

NAR Research's engagement rate beats 25% of the tracked X accounts closest to it in follower count (15,519 accounts, accounts of similar size (decile 8 of 10)). A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.

On engagement per impression rather than per follower it beats 52% of the same group. When those two numbers disagree, the gap is about how far its posts travel rather than how people react to them.

Where this sits in the catalog

At 0.013%, NAR Research sits above the 10th percentile of the 156,839 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.022%.

p100.003%
p250.022%
p50 (median)0.128%
p750.604%
p902.32%
p9983.4%
Engagement rate as a share of followers, across the 156,839 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 26,058 times apart and a linear axis would flatten everything below the median into a single point.
Show the percentile table
Engagement rate percentiles
PercentileEngagement rate
10th percentile0.003%
25th percentile0.022%
50th percentile0.128%
75th percentile0.604%
90th percentile2.32%
99th percentile83.4%

This ruler is the whole measured catalog, not a size-matched group: it shows where the raw rate falls across every account we can measure, all of which are large. For a like-for-like comparison, read the size-band percentile above instead. See how the bands are built

Posting timing

This account posts most often around 13:00 UTC, and Monday is its busiest day of the week. The bars below are the catalog-wide pattern, with this account's own busiest slot marked. They do not show how this account performs at each hour: we keep one aggregate per account, not one per hour, so that measurement does not exist in our data.

Engagement by hour posted, UTCTwenty-four bars, one per UTC hour. Each bar shows how posts published in that hour compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest hour: 13:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 13:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%89K
01:00 UTC-2%90K
02:00 UTC-3%88K
03:00 UTC-4%94K
04:00 UTC-5%76K
05:00 UTC-4%75K
06:00 UTC-5%86K
07:00 UTC-5%93K
08:00 UTC-4%108K
09:00 UTC-4%124K
10:00 UTC-3%129K
11:00 UTC-3%141K
12:00 UTC-3%154K
13:00 UTC-3%167K
14:00 UTC-4%173K
15:00 UTC-2%176K
16:00 UTC-3%171K
17:00 UTC-3%159K
18:00 UTC-2%149K
19:00 UTC-2%141K
20:00 UTC-1%131K
21:00 UTC0%116K
22:00 UTC-2%100K
23:00 UTC-1%90K
Engagement by day of weekSeven bars, one per weekday, Sunday first. Each bar shows how posts published on that day compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest day: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Monday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%393K
Monday+1%483K
Tuesday-2%520K
Wednesday-3%472K
Thursday-2%430K
Friday-3%447K
Saturday+2%393K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Formats this account uses

Its own posting mix on the left, and what each of those formats does across every account we track on the right. Only formats where the effect clears our publish test appear here, so an empty row is a format we could not measure rather than one that does nothing.

This account's posting mix compared with catalog-wide effects
FormatThis accountCatalog effect95% intervalAccounts behind it
Image or video83% of posts+111%+108% to +115%34K
Outbound link80% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 83% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 111% above the same accounts' other posts.
  • 80% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
  • Its average post runs 262 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.

These are catalog-wide differences applied to this account's own posting mix, not a measurement of how each format performs for this account specifically. We keep one median per account, not one per format per account, so the second thing is not something this data can tell you.

Best tweets

  • Sep 19, 20262.2x their median

    Women made up 66% of REALTORS® in 2026, continuing a decades-long upward trend. The typical member was a 57-year-old homeowner, and 73% relied on real estate as their sole source of income. https://t.co/SID7sr6g1o https://t.co/yY1L8caOmR

    3012403.4K viewsView on X
  • Sep 17, 20262.2x their median

    Pending home sales in August increased by 0.3% month-over-month and decreased 4.7% year-over-year, according to the National Association of REALTORS® Pending Home Sales report. https://t.co/XJNVMXTUpp #NARPHS https://t.co/uFqeObWKtz

    2418223.1K viewsView on X
  • Sep 13, 20262.1x their median

    First-time buyers made up 30% of home purchases, up from 28% a year ago. Meanwhile, 27% of buyers paid all cash, and contracts continued to close in a typical 30 days. See more of what's happening in the housing market: https://t.co/I6os6pmQnO

    309602.3K viewsView on X
  • Aug 27, 20262.1x their median

    Nearly two-thirds of agents who are REALTORS® (64%) volunteer in their communities every month and 84% made charitable donations over the past year, according to the 2026 Community Aid and Real Estate (CARE) report. https://t.co/W04ETWRcty

    2716112.3K viewsView on X
  • Sep 18, 20262.0x their median

    Month-over-month pending home sales increased in the South and West but declined in the Northeast and Midwest. Year-over-year pending home sales declined in all four major U.S. regions. #NARPHS https://t.co/2vm4LcGYes

    2213432.5K viewsView on X
  • Sep 16, 20262.0x their median

    Instant Reaction: Mortgage Rates, September 16, 2026 "Average mortgage rates rose from 6% in late February to 7% this week, ahead of the Federal Reserve's first rate hike in three years today." https://t.co/9juLlrXW3D

    2015422.1K viewsView on X
  • Sep 10, 20261.9x their median

    Existing-home sales decreased by 2.0% month-over-month and 1.2% year-over-year. Month-over-month sales held steady in the West and declined in the Northeast, Midwest and South. #NAREHS https://t.co/s4mTppWdRb https://t.co/KGDObTgL2b

    1816422.9K viewsView on X
  • Aug 30, 20261.7x their median

    Bringing 14% of our foreign buyers last year, Mexico was the #2 country of origin. Mexican buyers favored California, Texas, and Florida, most often purchasing a primary residence with a median U.S. home purchase price of $375,000. https://t.co/4YVUtIAstv

    249204.6K viewsView on X
  • Sep 14, 2026

    Will the housing market crash in 2026? NAR Chief Economist Lawrence Yun compares current housing market conditions to 2008 and explains why a crash isn't likely this year. What should our economists tackle next? Drop it into the comments or email [email protected] https://t.co/5GZ78TxuNm

    217211.3K viewsView on X
  • Sep 11, 2026

    Market conditions remain competitive but are easing. 16% of homes sold above list price, down from 20% a year ago. The typical sold home received 2.1 offers, while first-time buyers accounted for 30% of purchases. Find more market metrics: https://t.co/I6os6pmQnO https://t.co/SxSQde64VE

    1414201.4K viewsView on X

Ranked by total interactions across everything we have tracked for this account, which is a longer history than the 30-day window the rates above use. The multiple compares each post to this account's own median.

Recurring topics

#narehs#narphs

The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.

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Reading these numbers

A typical post picks up 21 interactions against 157K followers, an engagement rate of 0.013%. Measured over 35 original posts, its engagement rate beats 25% of 15,519 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 1.6K times each, and 1.35% of those impressions turn into an interaction. That is about 0.995% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 13:00 UTC, and Monday is the busiest day of the week. Of the 35 posts sampled, 83% carry an image or video and 80% link out. The account's strongest tracked post pulled 46 interactions, about 2.2x its own typical post. Recurring topics include #narehs, #narphs.

What is NAR Research's engagement rate on X?
NAR Research (@NAR_Research) has an engagement rate of 0.013%, based on the median interactions across 35 original posts from the last 30 days against 156,734 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.013%, NAR Research sits above the 10th percentile of the 156,839 accounts in this comparison. Those comparison accounts are all large ones, because our scanning cadence is weighted towards big accounts, so this is a ranking among peers of similar scale rather than a ranking across X.
Does @NAR_Research have real engagement?
Its engagement rate beats 25% of the tracked X accounts closest to it in follower count (15,519 accounts), which puts it in the middle of its size range group. Ranking inside a size band matters because engagement rate falls as accounts grow, so a raw rate would mostly re-measure the follower count. It is a starting point for a look at follower quality, not a verdict on it.
When does @NAR_Research post?
Most posts go out around 13:00 UTC, and Monday is its busiest day, at roughly 1.33 posts per day across the measured window.

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