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Naija engagement report

@Naija_PR - 7.0M followers on X

Measured over 322 original posts from a 30-day window, last computed on October 7, 2026.

Engagement

Bottom quarter for its size
Per follower
0.002%
of 7.0M followers
Per impression
0.42%
28K views on a typical post
Reach
0.4%
of its followers see a post
Typical post
118
interactions (median)
Saved
0.011%
3 bookmarks on a typical post
Posting rate
12.2/day
active 90% of days
Peak time
17:00 UTC
Wednesday

A typical post picks up 118 interactions against 7.0M followers, an engagement rate of 0.002%. Measured over 322 original posts, its engagement rate beats 16% of 15,519 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 28K times each, and 0.42% of those impressions turn into an interaction. That is about 0.4% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 12.2 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 17:00 UTC, and Wednesday is the busiest day of the week. Of the 322 posts sampled, 84% carry an image or video. The account's strongest tracked post pulled 260K interactions, about 2204x its own typical post.

Measured over 322 original posts from a 30-day window, last computed on October 7, 2026.

Compared with accounts its own size

Naija's engagement rate beats 16% of the tracked X accounts closest to it in follower count (15,519 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 29% 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 0.002%, Naija sits below the 10th percentile of the 155,670 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.022%.

p100.003%
p250.022%
p50 (median)0.127%
p750.603%
p902.31%
p9983.4%
Engagement rate as a share of followers, across the 155,670 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 26,055 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 percentile0.003%
25th percentile0.022%
50th percentile0.127%
75th percentile0.603%
90th percentile2.31%
99th percentile83.4%

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 17:00 UTC, and Wednesday 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: 17:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 17:00 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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
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 video84% of posts+111%+108% to +115%34K
Outbound link1% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 84% 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.
  • 1% 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 770 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

  • Aug 25, 20262204x their median

    that rat bitch jolene did this

    234K26K2504373.4M viewsView on X
  • Aug 27, 2026869x their median

    how do you become an arms dealer? do you just wake up and start cold emailing dictators?

    98K4.1K4233813.0M viewsView on X
  • Aug 24, 2026565x their median

    People singing happy birthday to you feels like a real life unskippable ad

    58K7.9K98257750K viewsView on X
  • Aug 28, 2026480x their median

    β€œPlease stay awake so you can open the door for me.” Me wondering how the goat in my dream knows my name https://t.co/K28GmRtNFZ

    49K7.1K259333881K viewsView on X
  • Aug 25, 2026362x their median

    Please wear ya nice clothes every day. The special occasion is being alive

    36K6.6K68231463K viewsView on X
  • Aug 22, 2026353x their median

    hearing your own voice in a recording is horrifying

    37K4.2K267265700K viewsView on X
  • Aug 22, 2026272x their median

    Tried to return to this guy I ghosted by sending iMessage games, he first beat me then blocked me 😭😭😭😭😭😭😭😭😭

    30K1.9K1994111.2M viewsView on X
  • Aug 27, 2026263x their median

    I honestly do not have a single bone in me for side hustles. I genuinely just need this one job to pay me better😭

    26K5.1K55211294K viewsView on X
  • Aug 24, 2026207x their median

    nobody making $40k a month is selling u their secrets for $30 lol

    23K1.2K30596604K viewsView on X
  • Aug 22, 2026162x their median

    You see that channel called African magic epic on DStv ehn, their movies don't have scripts. They just call actors and tell them to just be acting until they feel they are done 😭😭.

    16K2.2K339214388K 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 118 interactions against 7.0M followers, an engagement rate of 0.002%. Measured over 322 original posts, its engagement rate beats 16% of 15,519 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 28K times each, and 0.42% of those impressions turn into an interaction. That is about 0.4% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 12.2 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 17:00 UTC, and Wednesday is the busiest day of the week. Of the 322 posts sampled, 84% carry an image or video. The account's strongest tracked post pulled 260K interactions, about 2204x its own typical post.

What is Naija's engagement rate on X?
Naija (@Naija_PR) has an engagement rate of 0.002%, based on the median interactions across 322 original posts from the last 30 days against 7,037,156 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.002%, Naija sits below the 10th percentile of the 155,670 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 @Naija_PR have real engagement?
Its engagement rate beats 16% of the tracked X accounts closest to it in follower count (15,519 accounts), which puts it in the bottom quarter 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 @Naija_PR post?
Most posts go out around 17:00 UTC, and Wednesday is its busiest day, at roughly 12.2 posts per day across the measured window.

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