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Nick Gerli engagement report

@nickgerli1 - 163K followers on X

Measured over 19 original posts from a 30-day window, last computed on October 26, 2026.

Engagement

Top quarter for its size
Per follower
0.599%
of 163K followers
Per impression
1.46%
67K views on a typical post
Reach
40.9%
of its followers see a post
Typical post
975
interactions (median)
Saved
0.248%
165 bookmarks on a typical post
Posting rate
3.07/day
active 47% of days
Peak time
16:00 UTC
Friday

A typical post picks up 975 interactions against 163K followers, an engagement rate of 0.599%. Measured over 19 original posts, its engagement rate beats 87% of 21,185 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 67K times each, and 1.46% of those impressions turn into an interaction. That is about 40.9% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.1 posts a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 16:00 UTC, and Friday is the busiest day of the week. Of the 19 posts sampled, 100% carry an image or video, 26% are part of a thread and 89% link out. The account's strongest tracked post pulled 3.0K interactions, about 3.1x its own typical post.

Measured over 19 original posts from a 30-day window, last computed on October 26, 2026.

Compared with accounts its own size

Nick Gerli's engagement rate beats 87% 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 53% 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 0.599%, Nick Gerli sits above the 50th percentile of the 213,570 accounts in this comparison. That places it in the above the median band, which runs 0.147% to 0.699%.

p100.004%
p250.025%
p50 (median)0.147%
p750.699%
p902.61%
p9982.9%
Engagement rate as a share of followers, across the 213,570 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,410 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 percentile0.147%
75th percentile0.699%
90th percentile2.61%
99th percentile82.9%

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 video100% of posts+111%+108% to +115%34K
Outbound link89% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 100% 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.
  • 89% 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 727 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

  • Sep 11, 20263.1x their median

    Wow. North of Dallas is getting smoked. I lived in Frisco back in 2022 and everyone said the market was impervious to a decline. And now it’s in free fall. Some zips are down almost 20% on value already. And inventory through the roof. More correction coming in Collin and Denton County in 2027. Search your zip trends at https://t.co/S3BIG9AdEw

    2.4K24828940563K viewsView on X
  • Oct 7, 20262.6x their median

    The U.S. mortgage market is in its biggest recession in U.S. history. Applications to purchase a home are down 58% from the pandemic peak in 2021. Today's mortgage purchase index of 145 today is lower than at any point in the 2009-2012 housing bust. And is now back the same level as 1995. Not only that, mortgage applications are also down 15% from last year, indicating a further short-term weakening is occuring. Roughly 70% of U.S. home purchases are financed with a mortgage. So declining mortgage applications are going to be a big problem for sellers. Track the areas with the biggest negative forecasts at: https://t.co/42D6apFdHs

    2.0K39410139124K viewsView on X
  • Sep 16, 20262.4x their median

    U.S. Mortgage Applications just fell back to the lowest level since 1995. And are now down 50% from the pandemic peak. Demand to buy with a mortgage today is shockingly at the same level as 31 years ago, even though U.S. population is 30% higher. The reason demand is so low is due to sky-high home prices, which are in a massive bubble. To go along with sky-high prices, mortgage rates are now back to normal at 7%. Meaning the vast majority of buyers can't afford it, with the typical household needing to spend nearly 40% of their gross income on house payments. This historic demand collapse will not improve until home prices drop meaningfully. And the situation is becoming especially dire in America's highest cost markets. Check your ZIP on Reventure to see where your market ranks: https://t.co/f4qNQ29CIP

    1.8K3669540193K viewsView on X
  • Oct 14, 20262.2x their median

    The U.S. housing market is experiencing one of the worst homebuyer demand recessions in history. Mortgage purchase applications have collapsed 60% from their pandemic peak. Demand is now back near 1995 levels, and even lower than at any point during the 2008-2012 housing crash. Think about that. There are fewer mortgage purchase applications today than during the worst years of the foreclosure crisis. Homebuyers have effectively gone on strike. And that's a big problem for sellers. Because roughly 70% of home purchases are financed with a mortgage. And that's likely to put even more downward pressure on home prices. The silver lining? It's a great time to make low ball offers, and pick up houses at big discounts in late 2026. To see where mortgages have dropped most, search your ZIP on Reventure: https://t.co/LPkpGqrkKf

    1.7K26812035148K viewsView on X
  • Oct 20, 20262.2x their median

    U.S. Housing Market sales just hit the lowest level ever in September 2026. The NAR's pending sales index just fell to 66.0. Which is the worst reading ever recorded. 50% lower than the pandemic peak, 35% lower than 2019 levels, and lower than any period during the 2008-09 downturn. Homebuyers are boycotting the housing market due to excessively high prices, and mortgage rates back above 7%. Meaning the U.S. remains mired in the biggest homebuyer recession in history, and it just got worse (sales down 11% YoY). The upside here is it's now a good time to make low ball offers on houses. Especially in markets with high inventory. Track demand and supply metrics for your ZIP at: https://t.co/MptYLJA8DH

    1.7K31810858177K viewsView on X
  • Aug 31, 20261.9x their median

    The reason the U.S. has a housing affordability crisis isn't because of mortgage rates. Today's mortgage rate levels of around 6.5% as historically very normal. With the long-term 136 year average at 6.4%. Moreover, today's rates are way below where they were in the 1970s, 80s, and 90s, when mortgage rates were hovering near 10%. Meaning that central issue with affordability today isn't mortgage rates. Rather, it's prices. Real home prices are 90% above long-term averages. Indicating that housing has appreciated way faster than inflation and people's incomes. Which is ultimately what is creating this four-year housing recession with record low demand. Fix the price problem, and you fix affordability. Check the most overvalued areas at: https://t.co/zlKe2138Ij.

    1.4K17926534261K viewsView on X
  • Sep 3, 20261.8x their median

    There's only been three home-price bubbles in U.S. history over the last 70 years. Today, with a Home Price/Income Ratio of 4.33x Back in 2006, when it hit 4.45x. And post WW2, when it hit 5.00x. In the previous two cases, the bubble and lack of affordability didn't last long. After 2006, prices crashed shortly thereafter, restoring the Home Price/Income to normal levels (below 3.5x). Meanwhile, after WW2, home prices stopped growing for a decade, while incomes surged 5-10% per year. Pushing the Value/Income Ratio below 3.0x, to its most affordable level ever. Indicating that there are two sides to the affordability coin: prices, and incomes. Check Value/Income for your ZIP on Reventure Premium now: https://t.co/hEz5qenRCp

    1.5K20311220239K viewsView on X
  • Oct 8, 20261.8x their median

    We're starting to see 2008-level discounts in Florida's housing market. Take this condo. Owner bought for $220,000 in 2024. Now pending at a $138,000 asking price in 2026. A staggering 38% decline in two years. Down to $107 PSF. But here's where things get more interesting. Zillow estimates this condo could rent for $2,000/month, equating to a staggering 18% gross annual rental yield. However, the HOA fee is $780/month, significantly denting net rental returns. We haven't seen discounts like this in Florida in nearly a decade. But the cost of HOA, property taxes, and insurance in is still making it difficult for buyers. To see how much to offer on properties like this, use Reventure's listing analyzer: https://t.co/mxvaVVQ2fN

    1.4K18715126144K viewsView on X
  • Sep 17, 20261.6x their median

    Major housing deflation is taking place in the homebuilding sector. Lennar, the 2nd largest builder in America, has now cut net prices 30% from the pandemic peak. Dropping from $511,000 in 2022 to $359,000 in Q3 2026. Lennar is cutting prices so much that their current ASP on new orders is below pre-pandemic levels. They're achieving this through outright price cuts, mortgage rate buydowns, and smaller floor plans. Ultimately, great news for buyers. Bad news if you're a re-seller in a market where Lennar operates. To see where prices are dropping most, search your ZIP at: https://t.co/XfJoGbKuB8

    1.3K2138533143K viewsView on X
  • Oct 8, 20261.6x their median

    One of America's hottest downtown housing markets is now experiencing an all-out crash. Condo prices in Nashville are in free fall. On this listing, the seller bought for $699k in 2024. And is now listing at $499k. A $200k loss in a little over two years. Across the 37203 Nashville ZIP code, values are down 11% from peak on average. And I'm frequently finding seller's taking six-figure losses. This condo is now approaching its 2020 sale price ($480k), essentially erasing a majority of the pandemic appreciation. Some of these units could soon be a 'Buy'. The question is, how much lower does it go? Know how much to offer with Reventure's listing analyzer: https://t.co/qwBLTvSfAs

    1.3K14611715165K 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 975 interactions against 163K followers, an engagement rate of 0.599%. Measured over 19 original posts, its engagement rate beats 87% of 21,185 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 67K times each, and 1.46% of those impressions turn into an interaction. That is about 40.9% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.1 posts a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 16:00 UTC, and Friday is the busiest day of the week. Of the 19 posts sampled, 100% carry an image or video, 26% are part of a thread and 89% link out. The account's strongest tracked post pulled 3.0K interactions, about 3.1x its own typical post.

What is Nick Gerli's engagement rate on X?
Nick Gerli (@nickgerli1) has an engagement rate of 0.599%, based on the median interactions across 19 original posts from the last 30 days against 162,739 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.599%, Nick Gerli sits above the 50th percentile of the 213,570 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 @nickgerli1 have real engagement?
Its engagement rate beats 87% of the tracked X accounts closest to it in follower count (21,185 accounts), which puts it in the top 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 @nickgerli1 post?
Most posts go out around 16:00 UTC, and Friday is its busiest day, at roughly 3.07 posts per day across the measured window.

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