Back to @rosettastone's profile

Rosetta Stone engagement report

@rosettastone - 85K followers on X

Measured over 8 original posts from a 30-day window, last computed on September 30, 2026.

Engagement

Bottom quarter for its size
Per follower
0.004%
of 85K followers
Per impression
0.765%
458 views on a typical post
Reach
0.54%
of its followers see a post
Typical post
4
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
0.27/day
active 27% of days
Peak time
14:00 UTC
Wednesday

A typical post picks up 4 interactions against 85K followers, an engagement rate of 0.004%. Measured over 8 original posts, its engagement rate beats 10% of 21,624 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 458 times each, and 0.765% of those impressions turn into an interaction. That is about 0.538% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.27 posts a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 14:00 UTC, and Wednesday is the busiest day of the week. Of the 8 posts sampled, 100% link out. The account's strongest tracked post pulled 8 interactions, about 2.0x its own typical post. Recurring topics include #spanish, #arabic, #french.

Measured over 8 original posts from a 30-day window, last computed on September 30, 2026. Recurring tags: #spanish, #arabic, #french.

Compared with accounts its own size

Rosetta Stone's engagement rate beats 10% of the tracked X accounts closest to it in follower count (21,624 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 33% 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%, Rosetta Stone sits above the 10th percentile of the 218,727 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.

p100.004%
p250.025%
p50 (median)0.149%
p750.706%
p902.63%
p9982.5%
Engagement rate as a share of followers, across the 218,727 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 21,722 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 percentile0.149%
75th percentile0.706%
90th percentile2.63%
99th percentile82.5%

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 14:00 UTC, and Wednesday 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: 14:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 14:00 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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
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 video0% of posts+111%+108% to +115%34K
Outbound link100% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 0% 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.
  • 100% 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 263 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.

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

  • Jun 17, 20262.0x their median

    Aller (“to go”) is one of the most essential and commonly used verbs in #French! Not only does it help you talk about daily routines, travel, and movement, but it’s also used with infinitives to express future plans and actions. Learn more here: https://t.co/KRxrrehcRY

    3032308 viewsView on X
  • Sep 9, 20261.8x their median

    #Italian has 2 future tenses: 1. Futuro semplice: the go-to tense for most future situations 2. Futuro anteriore: used to talk about something that will have happened before a future moment or to make hypotheses about past events Learn more here: https://t.co/QDH2AjoCrR

    5011686 viewsView on X
  • Jul 11, 20261.8x their median

    #English has evolved significantly over the past several millennia, originating from Germanic dialects brought to Britain and gradually shaped by contact with other languages and cultures. Learn more about its history here: https://t.co/7nN47DfYOa

    5101434 viewsView on X
  • Sep 2, 20261.5x their median

    According to the Foreign Service Institute, these languages can be especially challenging for English speakers to master: 1. Arabic 2. Chinese (Cantonese or Mandarin) 3. Japanese 4. Korean Explore the complete language difficulty rankings here: https://t.co/iMgoGsIWPY

    4011394 viewsView on X
  • Sep 12, 2026

    Ready to start writing in #Japanese? ✍️ 1. Master hiragana & katakana 2. Practice writing whole words—not just letters 3. Use Rosetta Stone’s writing activities with an on-screen keyboard and picture cues Get more helpful tips here: https://t.co/st5eJgTim9

    3101675 viewsView on X
  • Aug 8, 2026

    Knowing how to say #goodbye in different languages will help you end any conversation with ease. 👋 - Chinese (Mandarin): 再见 (Zài jiàn) - French: Au revoir - Japanese: さようなら (Sayōnara) - Tagalog: Paalam - Vietnamese: Tạm biệt More here: https://t.co/A9ouSlpCgQ

    3101824 viewsView on X
  • Jun 28, 2026

    #CodeSwitching is the alternating or mixed use of two or more languages, dialects, accents, or speech styles depending on the context, audience, or purpose. Learn more about this cool sociolinguistic phenomena here: https://t.co/XMxFsOclRY

    4001471 viewsView on X
  • Jun 2, 2026

    Whether you’re just wandering or heading somewhere specific, knowing how to ask for directions will come in handy when traveling in a #French-speaking region! Learn the essential vocabulary for asking and giving directions in French here: https://t.co/3s2cv1RYq4

    4001243 viewsView on X
  • May 27, 2026

    If you’ve studied a Romance language, you’ve seen it before: every noun has a gender. 👫 And #Italian is no exception. 🤓 But it doesn’t have to be confusing. 😉 Learn about the core Italian gender rules here: https://t.co/r6AOPq9oDn

    4001259 viewsView on X
  • Apr 22, 20262.5x their median

    In #Japanese, suki (好き) usually means “like.” …ga suki desu(~が好きです。)= I like… (formal) …ga suki da(~が好きだ。)= I like… (casual) …ga suki(~が好き。)= I like… (very casual) Learn more here: https://t.co/9yiVY3iS3T

    4001494 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

#spanish#arabic#french#german#goodbye

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 Twitter (X) accounts - escrow-protected

PlayerSells is an escrow marketplace for Twitter (X) accounts. Every deal is protected, with no middleman risk.

Reading these numbers

A typical post picks up 4 interactions against 85K followers, an engagement rate of 0.004%. Measured over 8 original posts, its engagement rate beats 10% of 21,624 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 458 times each, and 0.765% of those impressions turn into an interaction. That is about 0.538% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.27 posts a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 14:00 UTC, and Wednesday is the busiest day of the week. Of the 8 posts sampled, 100% link out. The account's strongest tracked post pulled 8 interactions, about 2.0x its own typical post. Recurring topics include #spanish, #arabic, #french.

What is Rosetta Stone's engagement rate on X?
Rosetta Stone (@rosettastone) has an engagement rate of 0.004%, based on the median interactions across 8 original posts from the last 30 days against 85,163 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.004%, Rosetta Stone sits above the 10th percentile of the 218,727 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 @rosettastone have real engagement?
Its engagement rate beats 10% of the tracked X accounts closest to it in follower count (21,624 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 @rosettastone post?
Most posts go out around 14:00 UTC, and Wednesday is its busiest day, at roughly 0.27 posts per day across the measured window.

Keep going