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Olivia Brown engagement report

@OliviaBrownB - 423K followers on X

Measured over 4 original posts from a 30-day window, last computed on September 26, 2026.

Engagement

Per follower
0.09%
of 423K followers
Per impression
0.168%
224K views on a typical post
Reach
53.4%
of its followers see a post
Typical post
377
interactions (median)
Saved
0.001%
2 bookmarks on a typical post
Posting rate
0.17/day
active 17% of days
Peak time
05:00 UTC
Thursday

Early reading. We have captured 4 original posts for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.

A typical post picks up 377 interactions against 423K followers, an engagement rate of 0.09%. Posts are seen about 224K times each, and 0.168% of those impressions turn into an interaction. That is about 52.9% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.17 posts a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 05:00 UTC, and Thursday is the busiest day of the week. Of the 4 posts sampled, 100% carry an image or video and 50% link out. The account's strongest tracked post pulled 4.7K interactions, about 17x its own typical post. Only 4 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

Measured over 4 original posts from a 30-day window, last computed on September 26, 2026.

Where this sits in the catalog

At 0.09%, Olivia Brown sits above the 25th percentile of the 204,798 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,798 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,879 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 05:00 UTC, and Thursday 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: 05:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 05:00 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: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Thursday
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 link50% 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.
  • 50% 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 592 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

  • Mar 10, 202617x their median

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    1.5K1.3K1.9K24353K viewsView on X
  • May 24, 2026

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    1631261860165K viewsView on X
  • Sep 6, 2026

    Poloniex Is Days 6 days Away โ€” Iโ€™m Loading $DEOD Before the Move ๐Ÿ”ฅ I entered around $0.018 on MEXC after the breakout. ๐Ÿ“ Buy: $0.017โ€“$0.018 ๐ŸŽฏ Target: $0.03+ Why Iโ€™m bullish ๐Ÿ‘‡ โœ… Building since 2023 โœ… Growing AI + Web3 ecosystem โœ… Live staking โœ… Team keeps shipping ๐Ÿš€ Poloniex Listing: September 11, 10 AM UTC Available now on MEXC, BingX & PancakeSwap. Iโ€™m already in. Letโ€™s see what listing day brings. ๐Ÿ”ฅ NFA. DYOR.

    28257410231K viewsView on X
  • Sep 7, 2026

    The structure behind the Global Wallet IEO is what caught my attention. ๐ŸŒ Rather than an open subscription, both upcoming rounds are restricted to GW Wallet users, with defined minimum and maximum allocations for each wallet. The Global IEO is scheduled for September 8 at 23:58 Beijing time, with 1M tokens available at 0.1 USDT. The GW Wallet Coin IEO follows on September 9 at 23:58, with 50,000 coins available at 5 USDT. Both rounds include a 3% exchange charge and specific long-term lock-up and linear release mechanisms. With limited allocations and a three-day rush window, the upcoming IEOs are definitely worth watching. CA: 0xb356156aedf57f08c49373d11b441521e6e2dc87 X: https://t.co/VJ2cwiepse DYOR and verify the official IEO details before participating.

    26752590330K viewsView on X
  • Sep 10, 2026

    Getting ROBBED is practically part of the crypto experience. Thatโ€™s exactly why the concept behind $ROBBED makes sense as a meme. Instead of inventing a complicated narrative, itโ€™s centered around something the community already understands and can turn into content. Meme Battles, community-created memes, competitions, and a leaderboard are designed to make participation part of the culture. 1B $ROBBED planned supply 90% Public / Community Solana + Robinhood Chain planned Still pre-launch and being built from the ground up. Follow @robbedcoin and catch the story from day one. THEY GOT RICH. WE GOT ROBBED.

    26854540217K viewsView on X
  • Aug 19, 2026

    One thing Iโ€™ve been paying more attention to in DeFi is the actual trading experience, especially when it comes to execution, slippage, and MEV. Thatโ€™s where $X18 caught my attention. The platform is building an AI-native DEX that combines a hybrid CLOB and AMM engine with AI-powered routing, risk management, and MEV protection. It also aims to support trading across 10+ blockchains through intent-based swaps. Another interesting piece is the bot-first approach, with eight built-in AI trading bots alongside an SDK and strategy marketplace. The idea of bringing professional-grade execution and automation into a decentralized trading environment is worth watching. Iโ€™ll be following how $X18 develops from here. https://t.co/63QPxGC9lJ https://t.co/VvVvNih9DK https://t.co/tPTUmDty67 https://t.co/nL6SwgcrA2 https://t.co/M9Tg0Ly27g https://t.co/m1qXYXRdop https://t.co/vL0NhNVvM8

    23642530398K viewsView on X
  • Sep 24, 2026

    Crypto connected to something tangible, this is what made Heldfor interesting to me. Theyโ€™re trying to use blockchain and transparency around a model focused on building real-world infrastructure with social and environmental impact. Behind it is a German GmbH, a public team, official company information, and a MiCA-notified HELF whitepaper in the ESMA register. Right now, the easiest way to follow the project is simply to visit the website, hit Join Now, and leave your email for updates. Curious to see where this goes. https://t.co/X6cRq5HA0V

    2016852030K viewsView on X
  • Aug 19, 2026

    Iโ€™ve been exploring $ZKTC after its Coinstore listing, and the broader vision behind the project is what caught my attention. Zakat Coin is aiming to connect crypto with practical financial use cases through ZakPay, covering areas such as everyday payments, cross-border transfers, and charitable giving. For me, the key thing to watch is whether this utility can translate into real adoption. The upcoming commercial rollout gives the ecosystem an important phase ahead, where actual users, transaction activity, and payment volume can start telling the story. The ODS model is another part worth understanding, particularly in terms of how supply is designed to respond to activity within the ecosystem. $ZKTC is already available, but I think the bigger story is what happens as ZakPay moves from development toward broader real-world usage. https://t.co/WtUHW1Bhar https://t.co/A4sOXGzGHe Zakat Coin X: https://t.co/FOmFKGw2Fq ZKTC/USDT on Coinstore: https://t.co/64MV200mAj

    22442490378K viewsView on X
  • Aug 7, 2026

    $MoonCoin is getting more interesting by the day. ๐Ÿ”ฅ The chart remains relatively quiet while the narrative and community around @MoonCoinSPCX continue to build. ๐ŸŒ• A shift in volume and momentum could make this chart look completely different in no time. Get your bag now before itโ€™s too late 0x62417f8802e7acd22990255584e806e6332e7777 Still early. Still worth watching. ๐Ÿš€ DYOR.

    22634480258K viewsView on X
  • May 28, 2026

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    12472990228K 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.

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Reading these numbers

A typical post picks up 377 interactions against 423K followers, an engagement rate of 0.09%. Posts are seen about 224K times each, and 0.168% of those impressions turn into an interaction. That is about 52.9% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.17 posts a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 05:00 UTC, and Thursday is the busiest day of the week. Of the 4 posts sampled, 100% carry an image or video and 50% link out. The account's strongest tracked post pulled 4.7K interactions, about 17x its own typical post. Only 4 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

What is Olivia Brown's engagement rate on X?
Olivia Brown (@OliviaBrownB) has an engagement rate of 0.09%, based on the median interactions across 4 original posts from the last 30 days against 423,135 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.09%, Olivia Brown sits above the 25th percentile of the 204,798 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 @OliviaBrownB have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @OliviaBrownB post?
Most posts go out around 05:00 UTC, and Thursday is its busiest day, at roughly 0.17 posts per day across the measured window.

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