Back to @iNatalieCole's profile

Natalie Cole engagement report

@iNatalieCole - 721K followers on X

Measured over 13 original posts from a 30-day window, last computed on October 1, 2026.

Engagement

Middle of its size range
Per follower
0.049%
of 721K followers
Per impression
0.437%
81K views on a typical post
Reach
11.2%
of its followers see a post
Typical post
353
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
0.53/day
active 33% of days
Peak time
09:00 UTC
Sunday

A typical post picks up 353 interactions against 721K followers, an engagement rate of 0.049%. Measured over 13 original posts, its engagement rate beats 58% of 21,185 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 81K times each, and 0.437% of those impressions turn into an interaction. That is about 11.2% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.53 post a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 09:00 UTC, and Sunday is the busiest day of the week. Of the 13 posts sampled, 100% carry an image or video and 77% link out. The account's strongest tracked post pulled 17K interactions, about 37x its own typical post. Recurring topics include #blockdag, #kamirai.

Measured over 13 original posts from a 30-day window, last computed on October 1, 2026. Recurring tags: #blockdag, #kamirai.

Compared with accounts its own size

Natalie Cole's engagement rate beats 58% of the tracked X accounts closest to it in follower count (21,185 accounts, accounts of similar size (decile 10 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 28% 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 0.049%, Natalie Cole sits above the 25th percentile of the 212,270 accounts in this comparison. That places it in the below the median band, which runs 0.025% to 0.146%.

p100.004%
p250.025%
p50 (median)0.146%
p750.695%
p902.61%
p9983.1%
Engagement rate as a share of followers, across the 212,270 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,455 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 percentile0.146%
75th percentile0.695%
90th percentile2.61%
99th percentile83.1%

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 09:00 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.

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: 09:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 09:00 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: Sunday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Sunday
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 video100% of posts+111%+108% to +115%34K
Outbound link77% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 100% 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.
  • 77% 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 348 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above 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

  • Jun 12, 202637x their median

    maaf teman teman perjuangan kayaknya sebagian besar dari kami gabisa nembus blokade di sini karena push sedikit aja lgsg ditembakin gas air mata. hari juga mulai gelap, terlalu risky kalau memaksakan sampai malam karena khawatir sweeping dan kekerasan kayak yg sudah sudah

    13K3.1K518292672K viewsView on X
  • Jul 20, 202618x their median

    Prabowo: Saya Diserang karena Ingin Beri Makan Bergizi "Saya diserang karena ingin memberi makan bergizi untuk anak-anak Indonesia, untuk ibu-ibu hamil, untuk orang-orang lansia, dianggap pemborosan." https://t.co/N5KErMEsl2

    3.6K6508591.1K933K viewsView on X
  • Aug 16, 202617x their median

    Onitsuka di toko ini tuh ori kah? Kok bisa murah banget 😭 https://t.co/CnrNkObmeF

    5.5K368120582.9M viewsView on X
  • Jun 24, 20266.6x their median

    Kalau dengar nama Presiden Prabowo, apa hal pertama yang langsung terlintas di pikiran kalian?🤯 https://t.co/TEX0GajBTY

    570712.5K4171.5M viewsView on X
  • Jul 1, 20265.7x their median

    OBSESSION seperti berusaha mengemis iba untuk laki-laki incel, dan juga mimpi basah laki-laki. Navarrette's exceptional performance couldn't even save this lame film. Film sama sekali gak menunjukkan keberpihakannya pada seseorang yang hak otonominya dirampas gitu aja sama orang yang super duper cupu dan gak berani bertanggungjawab itu. Pun, setelah banyak kejadian aneh—terutama satu kejadian yang menyedihkan itu—Bear ngga diberikan sedikitpun rasa bersalah atas apa yang ia lakukan pada Nikki, bahkan sampai akhir filmnya. Bear hanya merasa bersalah dan sengsara ketika kenyamanannya diusik, bukan karena ia sadar ia telah menyengsarakan orang lain. Film juga ngga mempertanyakan kewarasan Bear di setiap kejadian anehnya, ia justru mempertanyakan Nikki—Barker menciptakan karakter teman-temannya yang melihat Nikki sebagai "si cegil" dan menempatkanya sebagai sumber masalah, hingga (sebagian) penonton pun dibuat berpikir demikian. Sampai akhir pun, Nikki tetaplah "the freaky Nikki" tanpa agensi atau victory apapun, very unfortunate karena she was a lovely person in the beginning. Yhaa tapi kalau kita hidup di tengah lingkungan yang apa-apa menyalahkan perempuan—termasuk penggunaan kata "cegil" yang ditujukan kepada perempuan yang "menggila" akibat tindakan laki-laki—susah juga...

    1.6K1782371.0K2.2M viewsView on X
  • Jul 20, 20266.2x their median

    Apakah beliau sudah turun??? https://t.co/017kNkdRrs

    1.5K1463891682.3M viewsView on X
  • Jul 29, 20264.9x their median

    ⚠️ guys aku mau bilang tolong berhati hati sama online shop yang lokasinya di JAKARTA BARAT / JAKARTA UTARA / TANGERANG⚠️ Plisss itu semua kebanyakan adalah milik CHINA, aku pernah bekerja disana dan cara mereka menyelesaikan masalah ke org2 Indonesia kalau ada komplain itu bad bgt. Kebanyakan di anggurin, di undur dan nggak di selesaikan. Aku kasih bocoran cirinya sedikit ya dibawah, karena jujur mereka meraup keuntunhan banyak bgt DAN MEREKA GA BAYAR BEA CUKAI😡😡😡 Cirinya kurleb begini 1. JANGAN KAGET LOH MEREKA ADALAH MALL TOKO (toko besar), tapi liat ratingnya. Kalo ratingnya 4.7/4.8 dan komplainnya banyak, itu rata2 banyak org yg ditipu jg (suruh ubah bintang ke 5 dulu baru diselesaikan masalahnya, padahal nihil) 2. Tokonya banyak, namanya beda beda, tapi jualannya isinya kurang lebih sama. Jadi misal dia jualan perabotan, nah dia punya ga cuma 1 akun. Dan masalahnya cina ini nguasain banyak aspek pasar Indo, jadi hati2 aja (INGET GA CUMA PERABOTAN) 3. Kalian bisa liat dari cara CS nya ngebales chat. Kalo csnya online terus, dan balesnya selalu cepet dalam hitungan 1/2 menit, terus kalau ditanya jawabnya “jika di etalase tersedia, maka bisa di CO ya ka”. Atau “silahkan cek kak pada etalase kami, jika tersedia yuk co sekarang” intinya begitu, fix itu CS lagi kerja cepet karena cina ini pakai metode chat teratas wajib dibalas 4. Nama toko, nama tokonya cenderung bukan nama indo, u know what i mean? Perhatiin pls 5. Barang yang dijual beragam, ada perabotan, keperluan rumah tangga, keperluan bayi dan anak, baju, dll. Nah plss kamu harus paham kalau ada seller yang jual mirip plek ketiplek tapi beda toko, itu perlu dicurigai. Waktu case aku, aku handle banyak bgt pedangang buat keperluan jualan mereka, tapi sengaja bgt dikirim barang penyok, barang rusak, barang tidak lengkap. Apa gak sakit hati aku sebagai WNI? Dan kamu tau? Harga barang bisa di 1jtan, tapi kalau penyok cm diganti 20-30k🥺 6. Lebih stressnya lagi, banyak yang cuma di iming2in. “Ubah dulu kak bintangnya nanti dibantu percepat proses pengembalian uangnya” Prett, katakan prett! Tau ga? Setelah di ubah nanti, dia akan ngundur lagi dan lagi sampe bintang gabisa di otak atik. Setelah itu kaburrrr dan ga diganti. Mau kamu spam chat sampe tangan patah jg di biarinin Dan aku memutuskan resign, info loker gasih guys siapa tau kalian ada… Aku S1 Ilmu Komunikasi, skill public speaking ku sering bgt di apppresiasi orang orang, aku juga content creator di akun tiktok pribadiku dengan 50k followers, terbiasa membuat konten end to end, skill presentasiku boleh di adu, aku bisa editing (capcut, vn, inshot, canva), microsoft semua bisa. Btw aku fresh grad. Aku tertarik jd content creator, sosmed spesialist, marketing communication, public relations, copy writer dll Kerja disana juga ga ngotak, libur bisa di 8-10 hari sekali, dan gaada jam istirahat!!!🙂🙂🙂 Jadi kalo makan ya sambil kerja, ke toilet ga tenang, mau ibadah jadi mikir keburu buru, pokoknya gapunya waktu luang. Harus bener bener depan komputer terussss ⚠️⚠️ PENTING⚠️⚠️ Perusahaan CINA sm pedagang INDO itu beda kalo di toko oren. Kalo orang kita jualan pakai hati, ada komplain ya dilayani sepenuh hati. Kalo orang sana beda, bisa diliat dari : 1. Rating (rata rata mall / akun udah besar bukan mall follsnya puluhan ribu) 2. Rating 4.7-an dengan penilaian bintang 1/2/3 nya banyak (kalo org indo biasanya pasti usaha untuk ini ga terjadi kan?). Kalo mereka antara peduli ga peduli, karena mereka tau akan ada yang beli lagi 3. Bisa liat dari respon cs

    1.3K3073444381K viewsView on X
  • Aug 22, 20261.6x their median

    🦝 Meet $JIMOTHY, the raccoon ready to steal the spotlight on Solana 🔥 With a memorable character, a growing community, and huge meme potential, Jimothy has everything needed to become a name everyone remembers. Get in early and don’t miss what could be one of the most rewarding opportunities of your lifetime 🚀💎 CA: Ge87EtsjwRQbHaqQmKRno69RFTwh9bfSsm99XNxTpump Dexscreener: https://t.co/lxbtK068QE Web: https://t.co/ac7lVnyLFH

    337621673133K viewsView on X
  • Sep 13, 20261.5x their median

    $THEO is opening new doors across the onchain world. ⚡ What @Autheo_Network is building goes much deeper than a single chain. Autheo is creating an infrastructure ecosystem where blockchain, AI, identity, compute and storage come together, with $THEO powering the economy behind it. Now $THEO has a presence across both Robinhood Chain and Base, giving the ecosystem two separate routes for onchain access. 🟢 ROBINHOOD CHAIN CA: 0x3Dc751e0dA01812E6D9143cC696e7f07eA94dA48 Dexscreener: https://t.co/1Aj2SgN1xe 🔵 BASE CA: 0xebE516a20238F79DC20b07eaD6768e08891Ed309 Dexscreener: https://t.co/YXjL4z2d1s One ecosystem. Two chains. $THEO continues to expand its reach. And there’s more to come. Keep an eye on @Autheo_Network for more announcements soon. 👀

    37117143170K viewsView on X
  • Sep 25, 2026

    🔥 STOP SCROLLING — $INU DESERVES A LOOK. 👀🐕 There’s something about $INU × $UNI that just clicks. Simple ticker. Strong meme identity. A community already turning up. And the chart is still at the early chapter. 🚀 This is exactly the kind of meme narrative that can catch fire once the crowd starts paying attention. Don’t discover $INU after the timeline is already flooded with it. 👀🔥 CA: 6LrDt7nBiHraUuk9PZoUL8Qy9WX6pnSpDz1RkWWRR7hN X: @InuOnSF TG: https://t.co/s5KmsGkEgT 🐕 $INU × $UNI — THE MEME IS JUST GETTING STARTED.

    4252262091K 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

#blockdag#kamirai

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 353 interactions against 721K followers, an engagement rate of 0.049%. Measured over 13 original posts, its engagement rate beats 58% of 21,185 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 81K times each, and 0.437% of those impressions turn into an interaction. That is about 11.2% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.53 post a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 09:00 UTC, and Sunday is the busiest day of the week. Of the 13 posts sampled, 100% carry an image or video and 77% link out. The account's strongest tracked post pulled 17K interactions, about 37x its own typical post. Recurring topics include #blockdag, #kamirai.

What is Natalie Cole's engagement rate on X?
Natalie Cole (@iNatalieCole) has an engagement rate of 0.049%, based on the median interactions across 13 original posts from the last 30 days against 721,109 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.049%, Natalie Cole sits above the 25th percentile of the 212,270 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 @iNatalieCole have real engagement?
Its engagement rate beats 58% of the tracked X accounts closest to it in follower count (21,185 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 @iNatalieCole post?
Most posts go out around 09:00 UTC, and Sunday is its busiest day, at roughly 0.53 posts per day across the measured window.

Keep going