Coursera engagement report
@coursera - 484K followers on X
Measured over 30 original posts from a 30-day window, last computed on August 28, 2026.
Engagement
A typical post picks up 17 interactions against 484K followers, an engagement rate of 0.004%. Measured over 30 original posts, its engagement rate beats 18% of 3,739 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 12K times each, and 0.147% of those impressions turn into an interaction. That is about 2.38% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.4 post a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 12:00 UTC, and Monday is the busiest day of the week. Of the 30 posts sampled, 27% carry an image or video and 30% link out. The account's strongest tracked post pulled 160 interactions, about 9.4x its own typical post.
Measured over 30 original posts from a 30-day window, last computed on August 28, 2026.
Compared with accounts its own size
Coursera's engagement rate beats 18% of the tracked X accounts closest to it in follower count (3,739 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 11% 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%, Coursera sits above the 10th percentile of the 36,521 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.012%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.012% |
| 50th percentile | 0.08% |
| 75th percentile | 0.434% |
| 90th percentile | 2.10% |
| 99th percentile | 160.7% |
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 12:00 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.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 00:00 UTC | -1% | 50K |
| 01:00 UTC | -2% | 51K |
| 02:00 UTC | -3% | 50K |
| 03:00 UTC | -4% | 53K |
| 04:00 UTC | -6% | 43K |
| 05:00 UTC | -4% | 42K |
| 06:00 UTC | -4% | 48K |
| 07:00 UTC | -5% | 52K |
| 08:00 UTC | -4% | 60K |
| 09:00 UTC | -3% | 69K |
| 10:00 UTC | -2% | 72K |
| 11:00 UTC | -3% | 78K |
| 12:00 UTC | -2% | 86K |
| 13:00 UTC | -2% | 94K |
| 14:00 UTC | -4% | 97K |
| 15:00 UTC | -2% | 100K |
| 16:00 UTC | -3% | 97K |
| 17:00 UTC | -2% | 90K |
| 18:00 UTC | -1% | 84K |
| 19:00 UTC | -2% | 79K |
| 20:00 UTC | -1% | 74K |
| 21:00 UTC | -1% | 66K |
| 22:00 UTC | -2% | 57K |
| 23:00 UTC | -2% | 51K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +4% | 230K |
| Monday | 0% | 286K |
| Tuesday | -2% | 276K |
| Wednesday | -1% | 251K |
| Thursday | -1% | 244K |
| Friday | -3% | 252K |
| Saturday | +3% | 227K |
Best tweets
- Jul 24, 20269.4x their median
Meet Naisha, who earned her Master of Engineering in Computer Science degree at Dartmouth College on Coursera 🎓 https://t.co/IVhypGA4JV
- Aug 8, 20264.9x their median
I can be proud and still want more.
- Aug 7, 20264.6x their median
🌟 Meet Manviya Sahni, a Software Engineering Intern at Coursera. During her internship, Manviya led projects that made work easier for internal teams and improved the learner experience. From building a tool that streamlined license workflows to improving contract management behind the scenes, she saw firsthand how engineering can solve real business problems. Here are three lessons she took away from the experience:
- Aug 1, 20264.1x their median
I’m allowed to grow at my own pace.
- Aug 15, 20263.5x their median
I’m done underestimating what I can handle.
- Jul 25, 20263.0x their median
I’m becoming someone I can rely on.
- Aug 14, 20262.5x their median
🌟 Meet Sri Sindhu Veerathu, a Software Engineering Intern at Coursera. During her internship, Sindhu helped improve the processes behind Coursera's enterprise integrations, making them more reliable, easier to support, and better equipped to scale. Here are three lessons she learned 🧵👇
- Jul 22, 20262.3x their median
Most people review notes by reading them again and again. But one of the best ways to remember something is to try recalling it without looking. This is called active recall—and it strengthens memory far more than passive review. Here’s how to use it: 1️⃣ Pause before checking your notes. Try to explain the idea from memory first. 2️⃣ Turn headings into questions. Instead of rereading “Photosynthesis,” ask: “How does photosynthesis work?” 3️⃣ Use blank-page practice. Write down everything you remember before reviewing what you missed. 4️⃣ Explain it out loud. If you can teach it, you probably understand it more deeply. The goal of active recall is to make remembering easier. ✨ Save this for your next study session.
- Aug 11, 20262.2x their median
If you can describe an app, you can build an app. The new vibe coding course in the Google AI Professional Certificate will teach you how to create custom, shareable apps that can solve your unique challenges at work. No coding experience required. Learn more: https://t.co/63G99CSELx
- Aug 5, 20262.1x their median
Ever reread something immediately after learning it? It feels productive, but your brain often remembers less than you think. Research shows that adding a little time before reviewing can improve retention. This is called spaced repetition. Here’s why it works: 1️⃣ Forgetting slightly is part of learning. When you revisit information after some time, your brain has to rebuild the memory. 2️⃣ Recalling strengthens connections. The effort of remembering helps learning stick longer. 3️⃣ Short reviews beat cramming. A few spaced sessions are usually more effective than one long marathon. ❌ Study everything once for 3 hours ☑️ Review it across several shorter sessions Learning over time helps your brain hold onto more. ✨ Save this before your next exam or project.
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 17 interactions against 484K followers, an engagement rate of 0.004%. Measured over 30 original posts, its engagement rate beats 18% of 3,739 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 12K times each, and 0.147% of those impressions turn into an interaction. That is about 2.38% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.4 post a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 12:00 UTC, and Monday is the busiest day of the week. Of the 30 posts sampled, 27% carry an image or video and 30% link out. The account's strongest tracked post pulled 160 interactions, about 9.4x its own typical post.
- What is Coursera's engagement rate on X?
- Coursera (@coursera) has an engagement rate of 0.004%, based on the median interactions across 30 original posts from the last 30 days against 484,443 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.004%, Coursera sits above the 10th percentile of the 36,521 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 @coursera have real engagement?
- Its engagement rate beats 18% of the tracked X accounts closest to it in follower count (3,739 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 @coursera post?
- Most posts go out around 12:00 UTC, and Monday is its busiest day, at roughly 1.4 posts per day across the measured window.