łคcεяdค engagement report
@lacerda - 1.3M followers on X
Measured over 32 original posts from a 30-day window, last computed on October 23, 2026.
Engagement
A typical post picks up 2.6K interactions against 1.3M followers, an engagement rate of 0.209%. Posts are seen about 35K times each, and 7.56% of those impressions turn into an interaction. That is about 2.77% 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 47% of days. Most posts go out around 23:00 UTC, and Sunday is the busiest day of the week. Of the 32 posts sampled, 78% carry an image or video. The account's strongest tracked post pulled 374K interactions, about 106x its own typical post.
Measured over 32 original posts from a 30-day window, last computed on October 23, 2026. Recurring tag: #publi.
Where this sits in the catalog
At 0.209%, łคcεяdค sits above the 50th percentile of the 197,925 accounts in this comparison. That places it in the above the median band, which runs 0.14% to 0.663%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.14% |
| 75th percentile | 0.663% |
| 90th percentile | 2.52% |
| 99th percentile | 82.6% |
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 23:00 UTC, and Sunday 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 | 78% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 3% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | -3% | -3% to -2% | 54K |
- 78% 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.
- 3% 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 93 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
- Jul 19, 2026106x their median
IMAGENS QUE ENCANTAM https://t.co/oKnjHLQbno
- Jul 15, 202685x their median
o cara literalmente SEGURANDO o goleiro durante o escanteio que doideira de jogo https://t.co/PMQkiK4rTI
- Jul 30, 202629x their median
Ariana Grande foi fotografada com fã recentemente. https://t.co/B2alKjmAJH
- Jul 18, 202623x their median
Inglaterra é a grande CAMPEÃ da copa do mundo parabéns bellingham esse título é seu https://t.co/GyUW79btkG
- Oct 17, 202616x their median
Flora Matos para João Gomes: “João Gomes, se você não se posicionar vou pedir pra derrubar sua versão da minha música Piloto”. https://t.co/qDRsP5tUx0
- Aug 18, 202614x their median
🚨 Juliano Floss anuncia término de relacionamento com Marina Sena: “Aos que sempre torceram, ao carinho por nossa história, em respeito a tudo que vivemos juntos, comunico aqui o fim de meu relacionamento com Marina” https://t.co/TjDQIZ71kS
- Jul 18, 202614x their median
Kylian Mbappé ultrapassa Lionel Messi e se torna o maior artilheiro da HISTÓRIA em Copas do Mundo. https://t.co/L7Ww4Au6Xb
- Sep 11, 202612x their median
Meu Deus a Patricia Abravanel não vai dormir legal hoje https://t.co/auHJOQRxUr
- Sep 10, 202612x their median
morar no rio de janeiro é assim https://t.co/goB43oSJpp
- Jul 19, 20266.8x their median
piqué deve tá se roendo ver a shakira brilhando em mais uma copa e ele não https://t.co/bhv565ZS1W
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.
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Reading these numbers
A typical post picks up 2.6K interactions against 1.3M followers, an engagement rate of 0.209%. Posts are seen about 35K times each, and 7.56% of those impressions turn into an interaction. That is about 2.77% 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 47% of days. Most posts go out around 23:00 UTC, and Sunday is the busiest day of the week. Of the 32 posts sampled, 78% carry an image or video. The account's strongest tracked post pulled 374K interactions, about 106x its own typical post.
- What is łคcεяdค's engagement rate on X?
- łคcεяdค (@lacerda) has an engagement rate of 0.209%, based on the median interactions across 32 original posts from the last 30 days against 1,255,688 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.209%, łคcεяdค sits above the 50th percentile of the 197,925 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 @lacerda have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @lacerda post?
- Most posts go out around 23:00 UTC, and Sunday is its busiest day, at roughly 1.33 posts per day across the measured window.