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Moz engagement report

@Moz - 530K followers on X

Measured over 23 original posts from a 30-day window, last computed on August 27, 2026.

Engagement

Bottom quarter for its size
Per follower
0.002%
of 530K followers
Per impression
0.261%
3.1K views on a typical post
Reach
0.58%
of its followers see a post
Typical post
8
interactions (median)
Saved
0.033%
1 bookmarks on a typical post
Posting rate
1.03/day
active 63% of days
Peak time
10:00 UTC
Tuesday

A typical post picks up 8 interactions against 530K followers, an engagement rate of 0.002%. Measured over 23 original posts, its engagement rate beats 11% of 3,810 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 3.1K times each, and 0.261% of those impressions turn into an interaction. That is about 0.578% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1 post a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 10:00 UTC, and Tuesday is the busiest day of the week. Of the 23 posts sampled, 22% carry an image or video and 96% link out. The account's strongest tracked post pulled 77 interactions, about 9.6x its own typical post. Recurring topics include #mozcon, #seo.

Measured over 23 original posts from a 30-day window, last computed on August 27, 2026. Recurring tags: #mozcon, #seo.

Compared with accounts its own size

Moz's engagement rate beats 11% of the tracked X accounts closest to it in follower count (3,810 accounts, accounts of similar size (decile 7 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 21% 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 0.002%, Moz sits above the 10th percentile of the 36,852 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.012%.

p100.002%
p250.012%
p50 (median)0.08%
p750.435%
p902.10%
p99159.8%
Engagement rate as a share of followers, across the 36,852 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 106,564 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 percentile0.002%
25th percentile0.012%
50th percentile0.08%
75th percentile0.435%
90th percentile2.10%
99th percentile159.8%

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 10:00 UTC, and Tuesday 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: 10:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 10:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%51K
01:00 UTC-2%52K
02:00 UTC-3%50K
03:00 UTC-4%54K
04:00 UTC-6%43K
05:00 UTC-4%42K
06:00 UTC-4%48K
07:00 UTC-5%52K
08:00 UTC-4%61K
09:00 UTC-3%70K
10:00 UTC-2%72K
11:00 UTC-3%79K
12:00 UTC-2%87K
13:00 UTC-3%95K
14:00 UTC-4%98K
15:00 UTC-2%101K
16:00 UTC-4%99K
17:00 UTC-2%91K
18:00 UTC-1%85K
19:00 UTC-1%80K
20:00 UTC-1%75K
21:00 UTC-1%66K
22:00 UTC-2%58K
23:00 UTC-2%52K
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: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 5%Busiest day: Tuesday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+4%232K
Monday0%290K
Tuesday-2%281K
Wednesday-1%252K
Thursday-2%245K
Friday-3%254K
Saturday+3%228K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Jul 21, 20269.6x their median

    Here is the really hard part about SEO... when client feature pages are going to zero and you have to explain why. The default thinking is accusatory. THE SEO TEAM MUST HAVE DONE SOMETHING WRONG! But no... Google is simply rewarding other types of websites and pages. In this example, the buyer intent has shifted to downmarket / SMB / free tracking tools instead of more complex platform solutions. We used to be able to capture demand in this field with "one-off" feature pages linked from the footer. Today, we cannot beat the cheap free time tracking competitors with their homepage theme specifically going after employee time tracking.

    59511227K viewsView on X
  • Aug 26, 20264.4x their median

    Does schema markup actually improve your rank in search engines? In a 10-week controlled study @hundleyjake looked 29 local business websites, with all other SEO efforts paused, to isolate the direct effect of LocalBusiness schema markup. Key findings: 🔹 Google Ranking Impact: 0% direct effect on organic SERP positions. 🔹 Search Visibility: The control group without schema performed equally well or better on average. True Value: Schema is essential for rich snippet eligibility (like job posts and products) and providing clean entity context. Treat schema as a tool for user experience and clarity, not as a standalone ranking tactic. Learn how to effectively align structured data with your broader search strategy on the Moz Blog. https://t.co/PUyChn2PlX

    283225.2K viewsView on X
  • Aug 26, 20262.8x their median

    What Is WebMCP? How to Prepare Your Website to Serve AI Agents, by Matt Hollingshead https://t.co/rqU9xeN4Ym

    192104.4K viewsView on X
  • Aug 21, 20262.4x their median

    How does Google expand a single query? 10 ways, actually. In this popular Whiteboard Friday, Tom Capper breaks down all 10 fan-out types you need for better prompt research. https://t.co/Aib9ZJDuyS https://t.co/mVRgIousuJ

    144102.8K viewsView on X
  • Aug 4, 20262.4x their median

    Does schema markup actually improve your rank in search engines? In a 10-week controlled study Jake Hundley looked 29 local business websites, with all other SEO efforts paused to isolate the direct effect of LocalBusiness schema markup. Key findings: 🔹 Google Ranking Impact: 0% direct effect on organic SERP positions. 🔹 Search Visibility: The control group without schema performed equally well or better on average. True Value: Schema is essential for rich snippet eligibility (like job posts and products) and providing clean entity context. Treat schema as a tool for user experience and clarity, not as a standalone ranking tactic. Learn how to effectively align structured data with your broader search strategy on the Moz Blog. https://t.co/LfAIPbMRRk

    107203.2K viewsView on X
  • Jul 23, 20262.3x their median

    This is what the "TikTokification" of search looks like. @miknaraujo https://t.co/pNxgSliqm2 https://t.co/MLi3D8GNQ1

    98102.5K viewsView on X
  • Jul 17, 20262.1x their median

    AI citation building is the strategic process of ensuring your brand is referenced in AI-generated answers. In this Whiteboard Friday, Charlie Marchant explains how to move from being unknown to a primary source by: - Researching the specific prompts your customers use. - Analyzing the publications and URLs AI platforms frequently cite. - Outreaching for brand mentions in the context that matters most. Is your brand being cited? https://t.co/N5XgvXzxCb

    510201.9K viewsView on X
  • Jul 2, 20261.9x their median

    Feeling pressured to automate content output? Join us live for a deep look into content operations with HubSpot's Director of Content Marketing, Karla Cook Hesterberg. 📅 Thursday, July 22, 2026 🔗 Register for free now https://t.co/CNkx4Rbedn

    49201.5K viewsView on X
  • Jul 14, 20261.8x their median

    Don't forget to stop by the @getSTAT and @Moz booths today! We have a lot of amazing new features to show you and can't wait to chat. Come talk to the team and see some of our newest releases. https://t.co/p1wZXDVBFH

    310101.8K viewsView on X
  • Aug 6, 20261.5x their median

    What’s the biggest value of attending a conference like MozCon? We caught up with Vince Nero, Director of Content Marketing at BuzzStream, to get his take on what’s changing in the SEO space right now.

    73205.4K 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

#mozcon#seo

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 8 interactions against 530K followers, an engagement rate of 0.002%. Measured over 23 original posts, its engagement rate beats 11% of 3,810 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 3.1K times each, and 0.261% of those impressions turn into an interaction. That is about 0.578% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1 post a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 10:00 UTC, and Tuesday is the busiest day of the week. Of the 23 posts sampled, 22% carry an image or video and 96% link out. The account's strongest tracked post pulled 77 interactions, about 9.6x its own typical post. Recurring topics include #mozcon, #seo.

What is Moz's engagement rate on X?
Moz (@Moz) has an engagement rate of 0.002%, based on the median interactions across 23 original posts from the last 30 days against 529,662 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.002%, Moz sits above the 10th percentile of the 36,852 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 @Moz have real engagement?
Its engagement rate beats 11% of the tracked X accounts closest to it in follower count (3,810 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 @Moz post?
Most posts go out around 10:00 UTC, and Tuesday is its busiest day, at roughly 1.03 posts per day across the measured window.

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