š” 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
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
š” 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%, š” 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%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.025% |
| 50th percentile | 0.146% |
| 75th percentile | 0.697% |
| 90th percentile | 2.61% |
| 99th percentile | 83.0% |
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.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 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 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
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.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 18% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 2% 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?
- 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.
- 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.
- 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.
- 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
- 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.
- 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
- 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.
- Oct 3, 20261.7x their median
Buying more leads will not fix slow follow-up. Business hours: first human reply within 5 minutes ā 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.
- 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
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 š” The Real Estate Marketing Update's engagement rate on X?
- š” 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%, š” 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.