Tatiana Tsiguleva engagement report
@ciguleva - 238K followers on X
Measured over 46 original posts from a 30-day window, last computed on September 10, 2026.
Engagement
A typical post picks up 175 interactions against 238K followers, an engagement rate of 0.073%. Posts are seen about 10K times each, and 1.71% of those impressions turn into an interaction. That is about 4.31% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.2 posts a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 04:00 UTC, and Monday is the busiest day of the week. Of the 46 posts sampled, 80% carry an image or video and 11% are part of a thread. The account's strongest tracked post pulled 3.6K interactions, about 20x its own typical post.
Measured over 46 original posts from a 30-day window, last computed on September 10, 2026.
Where this sits in the catalog
At 0.073%, Tatiana Tsiguleva sits above the 25th percentile of the 65,864 accounts in this comparison. That places it in the below the median band, which runs 0.016% to 0.1%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.016% |
| 50th percentile | 0.1% |
| 75th percentile | 0.499% |
| 90th percentile | 2.09% |
| 99th percentile | 120.1% |
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 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% | 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 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
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.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 80% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 4% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | -3% | -3% to -2% | 54K |
- 80% 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.
- 4% 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 98 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% below the same accounts' other posts.
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
- Sep 8, 202620x their median
design review process https://t.co/AEECLsnvDh
- Sep 6, 202611x their median
Midjourney Watercolours https://t.co/aAxduqk1xG
- Aug 24, 202611x their median
https://t.co/VW3cRALeex
- Jan 6, 20259.1x their median
My 2024 with Midjourney! https://t.co/gA73peuDWN
- Aug 16, 20266.7x their median
If I had to use one word to describe Midjourney v8.2, it would be SCALE. https://t.co/XHR03jCacg
- Aug 27, 20265.1x their median
We’re gonna start testing our Midjourney V8.2 edit model today! This model supports editing with instructions, generating images with other images, brush-based inpainting, and outpainting and also works with your MJ personalization, moodboards, and srefs. Have fun! https://t.co/ZtmHVPyCXv
- Sep 8, 20264.3x their median
Launching today: 6 curated Grok Bot communities on X • GTM • Marketing • Recruiting • Engineering • Product • Design Limited spots. Apply here: https://t.co/mT6kHo24Uq https://t.co/lOwsY8dFy7
- Aug 16, 20264.2x their median
Somehow, I made it into Midjourney Magazine. Midjourney was the first generative AI tool I truly fell in love with. I still remember how fascinated I was by it and how quickly I became obsessed. Back then, I generated hundreds, maybe even thousands, of images with absolutely no intention of ever using or sharing them anywhere. I was simply enjoying the process and exploring what was suddenly possible. Years later, Midjourney is still an essential part of my creative workflow and continues to play a big role in what I create. So being a part of Midjourney Magazine feels incredibly special to me. I'm genuinely honored and excited to be included. A huge thank you to the Midjourney team for giving me a place in the magazine among so many incredibly talented people. It really means a lot. 🙏
- Sep 7, 20262.8x their median
Midjourney’s ability to nail this sense of scale and all the tiny details drives me crazy. https://t.co/GF6rzKW0MZ
- Aug 17, 20262.6x their median
Finally, I have some time to read while the agents are doing my job https://t.co/sGr7nexbJy
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 175 interactions against 238K followers, an engagement rate of 0.073%. Posts are seen about 10K times each, and 1.71% of those impressions turn into an interaction. That is about 4.31% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.2 posts a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 04:00 UTC, and Monday is the busiest day of the week. Of the 46 posts sampled, 80% carry an image or video and 11% are part of a thread. The account's strongest tracked post pulled 3.6K interactions, about 20x its own typical post.
- What is Tatiana Tsiguleva's engagement rate on X?
- Tatiana Tsiguleva (@ciguleva) has an engagement rate of 0.073%, based on the median interactions across 46 original posts from the last 30 days against 237,972 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.073%, Tatiana Tsiguleva sits above the 25th percentile of the 65,864 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 @ciguleva have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @ciguleva post?
- Most posts go out around 04:00 UTC, and Monday is its busiest day, at roughly 2.23 posts per day across the measured window.