Microsoft Learn engagement report
@MicrosoftLearn - 509K followers on X
Measured over 33 original posts from a 30-day window, last computed on August 27, 2026.
Engagement
A typical post picks up 300 interactions against 509K followers, an engagement rate of 0.059%. Measured over 33 original posts, its engagement rate beats 59% of 3,739 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 20K times each, and 1.47% of those impressions turn into an interaction. That is about 4.01% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.2 post 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 Thursday is the busiest day of the week. Of the 33 posts sampled, 12% carry an image or video and 15% link out. The account's strongest tracked post pulled 11K interactions, about 37x its own typical post. Recurring topics include #365daysoflearn, #alwayslearning, #esu.
Measured over 33 original posts from a 30-day window, last computed on August 27, 2026. Recurring tags: #365daysoflearn, #alwayslearning, #esu.
Compared with accounts its own size
Microsoft Learn's engagement rate beats 59% 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 61% 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 0.059%, Microsoft Learn sits above the 25th percentile of the 36,261 accounts in this comparison. That places it in the below the median band, which runs 0.012% to 0.08%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.012% |
| 50th percentile | 0.08% |
| 75th percentile | 0.431% |
| 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 16:00 UTC, and Thursday 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% | 51K |
| 08:00 UTC | -4% | 60K |
| 09:00 UTC | -3% | 69K |
| 10:00 UTC | -2% | 71K |
| 11:00 UTC | -3% | 78K |
| 12:00 UTC | -2% | 86K |
| 13:00 UTC | -2% | 93K |
| 14:00 UTC | -3% | 96K |
| 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% | 229K |
| Monday | 0% | 284K |
| Tuesday | -2% | 273K |
| Wednesday | -1% | 250K |
| Thursday | -2% | 243K |
| Friday | -3% | 251K |
| Saturday | +3% | 226K |
Best tweets
- Aug 22, 202637x their median
If you're wondering whether it's still worth learning how to code, the answer is: Now more than ever.
- Aug 3, 20269.2x their median
If you want to get Microsoft AI certified, start here: • Step 1: Azure AI Fundamentals (AI-901) • Step 2: Azure AI Apps and Agents Developer Associate (AI-103) • Step 3: Azure Solutions Architect Expert (AZ-305) (not AI‑specific, but useful for architecting AI solutions)
- Aug 11, 20268.1x their median
A simple way to think about AI agents: LLM = reasoning Tools = actions Memory = context Agents combine all three.
- Jul 30, 20267.3x their median
| ̄ ̄ ̄ ̄ ̄ ̄ ̄ ̄ ̄ ̄ ̄ ̄ ̄ ̄ ̄| | Your backup isn't a backup | | until you've tested the restore | |_______________| (\__/) || (•ㅅ•) || / づ
- Aug 17, 20265.4x their median
What's more important: the model or the prompt?
- Aug 15, 20263.7x their median
A clear path for getting GitHub certified: • Step 1: GitHub Foundations • Step 2: GitHub Administration • Step 3: GitHub Advanced Security
- Aug 25, 20263.1x their median
Naming a file Final_Final_Final just means you're always improving 🌠
- Aug 10, 20263.0x their median
The most underrated IT skill in 2026: Translating technical risk into business language. Agree or disagree?
- Aug 14, 20262.7x their median
Cybersecurity, explained simply: • Firewall = blocks obvious threats • MFA = adds a second lock to your account • Encryption = scrambles your data so only the right people can read it
- Aug 7, 20262.5x their median
Go for the gold and get a certification before the end of the month 🏅
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
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.
Buy or sell X accounts - escrow-protected
PlayerSells is an escrow marketplace for X accounts. Every deal is protected, with no middleman risk.
Reading these numbers
A typical post picks up 300 interactions against 509K followers, an engagement rate of 0.059%. Measured over 33 original posts, its engagement rate beats 59% of 3,739 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 20K times each, and 1.47% of those impressions turn into an interaction. That is about 4.01% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.2 post 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 Thursday is the busiest day of the week. Of the 33 posts sampled, 12% carry an image or video and 15% link out. The account's strongest tracked post pulled 11K interactions, about 37x its own typical post. Recurring topics include #365daysoflearn, #alwayslearning, #esu.
- What is Microsoft Learn's engagement rate on X?
- Microsoft Learn (@MicrosoftLearn) has an engagement rate of 0.059%, based on the median interactions across 33 original posts from the last 30 days against 508,657 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.059%, Microsoft Learn sits above the 25th percentile of the 36,261 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 @MicrosoftLearn have real engagement?
- Its engagement rate beats 59% of the tracked X accounts closest to it in follower count (3,739 accounts), which puts it in the middle of its size range 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 @MicrosoftLearn post?
- Most posts go out around 16:00 UTC, and Thursday is its busiest day, at roughly 1.2 posts per day across the measured window.