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Calcutta Times engagement report

@Calcutta_Times - 281K followers on X

Measured over 39 original posts from a 30-day window, last computed on October 24, 2026.

Engagement

Bottom 10% for its size
Per follower
0.001%
of 281K followers
Per impression
0.348%
574 views on a typical post
Reach
0.2%
of its followers see a post
Typical post
2
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
1.33/day
active 70% of days
Peak time
04:00 UTC
Friday

A typical post picks up 2 interactions against 281K followers, an engagement rate of 0.001%. Measured over 39 original posts, its engagement rate beats 4% of 20,444 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 574 times each, and 0.348% of those impressions turn into an interaction. That is about 0.205% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, with activity on roughly 70% of days. Most posts go out around 04:00 UTC, and Friday is the busiest day of the week. Of the 39 posts sampled, 97% carry an image or video and 18% link out. The account's strongest tracked post pulled 79 interactions, about 40x its own typical post. Recurring topics include #durgapuja, #calcuttatimes, #calcutatimes.

Measured over 39 original posts from a 30-day window, last computed on October 24, 2026. Recurring tags: #durgapuja, #calcuttatimes, #calcutatimes.

Compared with accounts its own size

Calcutta Times's engagement rate beats 4% of the tracked X accounts closest to it in follower count (20,444 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 20% 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 0.001%, Calcutta Times sits below the 10th percentile of the 204,880 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,880 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,891 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 percentile0.024%
50th percentile0.143%
75th percentile0.678%
90th percentile2.55%
99th percentile82.4%

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 04:00 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: 04:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 04:00 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 video97% of posts+111%+108% to +115%34K
Outbound link18% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 97% 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.
  • 18% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
  • Its average post runs 239 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

  • Oct 20, 202640x their median

    Mimi’s Pujo look is a whole vibe 🎉👌🏽 #tollywood #mimi #mimichakraborty #pujovibes❤️ https://t.co/0Vd6iBdvRo

    790005.1K viewsView on X
  • Oct 17, 202637x their median

    Tnusree C shared festive Pujo glimpses with her husband in the US—and added a filmy twist by meeting her Gumnaami co-star, Anirban Bhattacharya! From pandal vibes to old-screen magic, this Pujo reunion is pure nostalgia. ✨🎉 #DurgaPuja #TnusreeC #AnirbanBhattacharya https://t.co/H9r2lRTUvW

    730009.0K viewsView on X
  • Sep 16, 202620x their median

    Rani Mukerji attends Sabyasachi’s New York Fashion Week show in a timeless black silk saree. #nyfw2026 #sabyasachi #newyorkfashionweek https://t.co/UaMwbFpH7h

    353101.8K viewsView on X
  • Oct 23, 202617x their median

    Pujo may be over, but the hangover is REAL! ❤️🥹 Yash Daasguptaa and Nusrat Jahan are keeping the festive feels alive, one picture at a time✨📸 #YashDaasguptaa #NusratJahan #PujoHangover #DurgaPujoDiaries #AscheBochhorAbarHobe https://t.co/7t3DLoDjMM

    340005.9K viewsView on X
  • Oct 23, 202615x their median

    When Kal Penn meets Sabyasachi, the glam quotient goes global! ✨ A peek into the designer’s Diwali reception at New York’s Metropolitan Museum of Art, where Indian opulence meets NYC elegance. 🖤🥂 #KalPenn #Sabyasachi #DiwaliGlam #IndianLuxury #NYCFashion https://t.co/GTo5ljO0eu

    2820011K viewsView on X
  • Oct 17, 202614x their median

    Monochrome magic with a sunny dash of yellow! 💛 Shruti Das shared, “Ei saree ta Maa gift koreche. Tai pujor aaloye chobi to tultei hoto… Aage Maa’er saree cheye (ba churi kore) portam… ekhon Maa’er deoa saree pore pujote shaajlam.” ✨🪔 #ShrutiDas #NotunJama #DurgaPuja https://t.co/4fBXUBi9Yt

    260101.5K viewsView on X
  • Oct 23, 202611x their median

    Pujo may be over, but the adda, anondo and memories stay forever! 🥹❤️ Until the dhaak calls us home again… asche bochhor abar hobe! Here's how Hiya Chatterjee is beating the post Pujo blues ✨🪘 #PostPujoBlues #AscheBochhorAbarHobe #PujoMemories #BengaliVibes #DurgaPujo❤️ https://t.co/g75R7gvHD8

    191103.2K viewsView on X
  • Oct 17, 20266.5x their median

    Parambrata Chattopadhyay wished his fans Shubho Maha Saptami on social media, sharing pictures from Marseille where he is celebrating Pujo with wife Piya Chakraborty, their son and family. 🎊 #MahaSaptami #DurgaPuja #Pujo2026 #FamilyTrip #Marseille https://t.co/THvT2mntsi

    13000896 viewsView on X
  • Sep 12, 20266.5x their median

    Mimi Chakraborty reportedly set to tie the knot this December, according to sources. The actress has always kept her personal life away from the spotlight, rarely opening up about her relationships. However, she has not made any official announcement regarding the reports so far https://t.co/KlNZr8aENy

    121001.9K viewsView on X
  • Sep 3, 20266.0x their median

    Mahanayak 100 ✨ Pick up today’s edition of The Calcutta Times and celebrate the legend, Uttam Kumar — the man who became an icon and continues to inspire generations. 🖤 #UttamKumar #Mahanayak100 #100YearsOfUttamKumar #BengaliCinema #CalcuttaTimes https://t.co/f0VuW2ZLsI

    9300543 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

#durgapuja#calcuttatimes#calcutatimes#pujovibes#kolkata

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 2 interactions against 281K followers, an engagement rate of 0.001%. Measured over 39 original posts, its engagement rate beats 4% of 20,444 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 574 times each, and 0.348% of those impressions turn into an interaction. That is about 0.205% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, with activity on roughly 70% of days. Most posts go out around 04:00 UTC, and Friday is the busiest day of the week. Of the 39 posts sampled, 97% carry an image or video and 18% link out. The account's strongest tracked post pulled 79 interactions, about 40x its own typical post. Recurring topics include #durgapuja, #calcuttatimes, #calcutatimes.

What is Calcutta Times's engagement rate on X?
Calcutta Times (@Calcutta_Times) has an engagement rate of 0.001%, based on the median interactions across 39 original posts from the last 30 days against 280,551 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.001%, Calcutta Times sits below the 10th percentile of the 204,880 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 @Calcutta_Times have real engagement?
Its engagement rate beats 4% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the bottom 10% 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 @Calcutta_Times post?
Most posts go out around 04:00 UTC, and Friday is its busiest day, at roughly 1.33 posts per day across the measured window.

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