Brian 34 🇵🇭 engagement report

Compared with accounts its own size

Brian 34 🇵🇭's engagement rate beats 90% of the tracked X accounts closest to it in follower count (3,848 accounts, accounts of similar size (decile 6 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 62% 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 1.23%, Brian 34 🇵🇭 sits above the 75th percentile of the 37,214 accounts in this comparison. That places it in the top 25% band, which runs 0.436% to 2.10%.

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 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.

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.

Reading these numbers

A typical post picks up 4.9K interactions against 400K followers, an engagement rate of 1.23%. Measured over 9 original posts, its engagement rate beats 90% of 3,848 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 254K times each, and 1.93% of those impressions turn into an interaction. That is about 63.6% 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 73% of days. Most posts go out around 09:00 UTC, and Wednesday is the busiest day of the week. Of the 9 posts sampled, 100% carry an image or video, 22% are part of a thread and 56% link out. The account's strongest tracked post pulled 49K interactions, about 9.9x its own typical post. Recurring topics include #alter, #alterpinoy, #arabgay.

What is Brian 34 🇵🇭's engagement rate on X?

Brian 34 🇵🇭 (@luckymaybe1923) has an engagement rate of 1.23%, based on the median interactions across 9 original posts from the last 30 days against 400,031 followers. Replies, reposts and quote-posts of other people are excluded from that sample.

Is that a good engagement rate?

At 1.23%, Brian 34 🇵🇭 sits above the 75th percentile of the 37,214 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 @luckymaybe1923 have real engagement?

Its engagement rate beats 90% of the tracked X accounts closest to it in follower count (3,848 accounts), which puts it in the top 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 @luckymaybe1923 post?

Most posts go out around 09:00 UTC, and Wednesday is its busiest day, at roughly 1.33 posts per day across the measured window.