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šŸ” The Real Estate Marketing Update engagement report

@REMarketingTips - 176K followers on X

Measured over 57 original posts from a 30-day window, last computed on October 18, 2026.

Engagement

Bottom quarter for its size
Per follower
0.004%
of 176K followers
Per impression
0.345%
2.0K views on a typical post
Reach
1.15%
of its followers see a post
Typical post
7
interactions (median)
Saved
0.049%
1 bookmarks on a typical post
Posting rate
2.8/day
active 90% of days
Peak time
16:00 UTC
Friday

A typical post picks up 7 interactions against 176K followers, an engagement rate of 0.004%. Measured over 57 original posts, its engagement rate beats 15% of 21,185 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 2.0K times each, and 0.345% of those impressions turn into an interaction. That is about 1.15% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.8 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 16:00 UTC, and Friday is the busiest day of the week. Of the 57 posts sampled, 18% carry an image or video and 47% are part of a thread. The account's strongest tracked post pulled 67 interactions, about 9.6x its own typical post.

Measured over 57 original posts from a 30-day window, last computed on October 18, 2026.

Compared with accounts its own size

šŸ” The Real Estate Marketing Update's engagement rate beats 15% of the tracked X accounts closest to it in follower count (21,185 accounts, accounts of similar size (decile 9 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 19% 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 0.004%, šŸ” The Real Estate Marketing Update sits above the 10th percentile of the 212,825 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.

p100.004%
p250.025%
p50 (median)0.146%
p750.697%
p902.61%
p9983.0%
Engagement rate as a share of followers, across the 212,825 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,436 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 percentile0.004%
25th percentile0.025%
50th percentile0.146%
75th percentile0.697%
90th percentile2.61%
99th percentile83.0%

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 16:00 UTC, and Friday 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: 16:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 16:00 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: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Friday
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 video18% of posts+111%+108% to +115%34K
Outbound link2% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 18% 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.
  • 2% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
  • Its average post runs 329 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above the same accounts' other posts.

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

  • Oct 14, 20269.6x their median

    A seller asks: "Should we wait until spring to list?" What's your answer, in one sentence?

    27139040K viewsView on X
  • Oct 12, 20263.1x their median

    Mortgage rates rose for a seventh straight week, to 7.40%. That's the highest since November 2023. So your next price-cut conversation needs a second option on the table. On a $360,000 loan at 7.40%, a $10,000 price cut lowers the buyer's payment about $62 a month. The same $10,000 toward buying down the rate can lower it well over $100 a month, depending on how the lender prices it. Have a lender run both numbers before you call the seller.

    1606021K viewsView on X
  • Oct 8, 20262.1x their median

    Seller: "Zillow says we're worth $40,000 more." The answer that doesn't start an argument: "It might be right. But it's never been inside your house, and buyers have. Here's what the last three buyers who toured homes like yours actually paid." Then show the three sales. Let the numbers have the argument.

    130113.8K viewsView on X
  • Oct 6, 20262.1x their median

    Before: "JUST SOLD! Congrats to my amazing clients! Thinking of selling? Call me!" After: "Sold in 9 days with 2 offers. What made the difference: we listed on a Thursday, so it got a full weekend of showings before it could look stale." The first one tells a seller you sold a house. The second tells them how you'd sell theirs. Every just-sold post should teach the next seller one thing.

    131103.7K viewsView on X
  • Sep 4, 20262.1x their median

    Your listing's next buyer may not live nearby. Edition 91: • Turn one comment into a qualified lead • Automate the handoff with Manychat • Market for the 60% of views crossing metro lines Are your listings built for out-of-market buyers? https://t.co/dquHeiQ868

    13110922 viewsView on X
  • Oct 15, 20261.9x their median

    Your Google Business Profile description gets 750 characters. Don't spend them on "dedicated" and "passionate." Paste this into any AI assistant: "Write a Google Business Profile description, under 750 characters, using only these facts: [neighborhoods you work, your specialties, years in business, homes sold, languages]. Name the neighborhoods and specialties plainly. No words like dedicated, passionate, or seamless. Give me two versions." Pick one, then make your website's About page say the same thing.

    91301.6K viewsView on X
  • Oct 6, 20261.9x their median

    Open your CRM and sort last year's closings by lead source. If one source is more than half of them, your business has a single point of failure. One algorithm change or price hike and your pipeline goes with it. Two ways to lower that risk without buying anything new: Follow up faster on the leads you already have Put your sphere on a monthly email so referrals don't depend on luck

    101202.4K viewsView on X
  • Oct 14, 20261.7x their median

    The review request text that gets you a useful review, not just a nice one: "Would you leave me a quick Google review? If it helps, mention the neighborhood and what we did, like getting your offer accepted over two others. Here's the link: [link]" A review that names a neighborhood and a situation tells the next client, and the AI tools they ask, exactly what you're good at.

    120002.2K viewsView on X
  • Oct 3, 20261.7x their median

    Buying more leads will not fix slow follow-up. Business hours: first human reply within 5 minutes — under 60 seconds on high-intent forms. After hours: auto-ack in under 1 minute, then a real follow-up by morning. If any inbound takes longer than five minutes, fix the handoff before you buy another lead source.

    62402.2K viewsView on X
  • Sep 25, 20261.7x their median

    Among REALTORS who use AI, 75% use it for listing descriptions. Edition 94: • The 30-second fix for generic content • Turn one local note into a finished Reel • What NAR's new tech report changes What can you say that AI cannot invent? https://t.co/1VslTCEjlS

    81301.1K 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.

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Reading these numbers

A typical post picks up 7 interactions against 176K followers, an engagement rate of 0.004%. Measured over 57 original posts, its engagement rate beats 15% of 21,185 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 2.0K times each, and 0.345% of those impressions turn into an interaction. That is about 1.15% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.8 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 16:00 UTC, and Friday is the busiest day of the week. Of the 57 posts sampled, 18% carry an image or video and 47% are part of a thread. The account's strongest tracked post pulled 67 interactions, about 9.6x its own typical post.

What is šŸ” The Real Estate Marketing Update's engagement rate on X?
šŸ” The Real Estate Marketing Update (@REMarketingTips) has an engagement rate of 0.004%, based on the median interactions across 57 original posts from the last 30 days against 176,256 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.004%, šŸ” The Real Estate Marketing Update sits above the 10th percentile of the 212,825 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 @REMarketingTips have real engagement?
Its engagement rate beats 15% of the tracked X accounts closest to it in follower count (21,185 accounts), which puts it in the bottom quarter for its size 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 @REMarketingTips post?
Most posts go out around 16:00 UTC, and Friday is its busiest day, at roughly 2.8 posts per day across the measured window.

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