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ばっちゃま engagement report

@jicchamatome - 251K followers on X

Measured over 4 original posts from a 30-day window, last computed on September 9, 2026.

Engagement

Per follower
0.232%
of 251K followers
Per impression
1.34%
43K views on a typical post
Reach
17.2%
of its followers see a post
Typical post
580
interactions (median)
Saved
0.223%
96 bookmarks on a typical post
Posting rate
0.13/day
active 13% of days
Peak time
23:00 UTC
Tuesday

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 580 interactions against 251K followers, an engagement rate of 0.232%. Posts are seen about 43K times each, and 1.34% of those impressions turn into an interaction. That is about 17.2% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.13 posts a day over the last 30 days, though only 13% of days saw any activity at all. Most posts go out around 23:00 UTC, and Tuesday is the busiest day of the week. Of the 4 posts sampled, 50% link out. The account's strongest tracked post pulled 4.6K interactions, about 7.9x 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 9, 2026.

Where this sits in the catalog

At 0.232%, ばっちゃま sits above the 50th percentile of the 66,128 accounts in this comparison. That places it in the above the median band, which runs 0.1% to 0.499%.

p100.002%
p250.016%
p50 (median)0.1%
p750.499%
p902.09%
p99119.9%
Engagement rate as a share of followers, across the 66,128 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 57,111 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 percentile0.002%
25th percentile0.016%
50th percentile0.1%
75th percentile0.499%
90th percentile2.09%
99th percentile119.9%

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 Tuesday 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: 23:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 23:00 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: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Tuesday
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 video0% of posts+111%+108% to +115%34K
Outbound link50% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 0% 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 113 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

  • Jan 11, 20257.9x their median

    👴長期金利が急上昇しているときに株を買ったっていいことなんて何もないです。これは「基本のキ」です。朝イチにチェックすべきは株価ではなく10年債利回り。そういう習慣つけて。グワングワン動き出したらポジションを少し落とすことも考えたほうが良い。

    4.2K3073336562K viewsView on X
  • Jan 20, 20266.2x their median

    👴金利を観察する際の注意点。長期金利が速いピッチで上昇し始めたら危険信号。機関投資家はコンピュータによるプログラム売買をしており、長期金利が急上昇すると自動的に株のポジションを落とす設定にしているケースが多い。僕の経験では3日連続で突発的に長期金利が上昇するとやばい。

    3.1K3454442428K viewsView on X
  • Mar 10, 20256.0x their median

    👴実際にリセッションが来たら株価は上がります。まず株安。次に景気指標の悪化。マクロ経済のデータが醜悪になる頃には株は出直っています。この順序をよく理解してないとうまく投資できません。

    3.2K2522024397K viewsView on X
  • Feb 28, 20254.2x their median

    👴いちばん普通に相場が底入れするパターンは、①債券利回りが下がる ②VIXが凄く高くなった後でゆっくり下がりはじめる、というコンビネーションが起きた時です。反対にVIXが日々下がらずにギザギザと揉んでいる時はまだ出動するには早すぎます。それを見極めてください。

    2.2K2121416256K viewsView on X
  • Apr 4, 20254.0x their median

    👴株で一番大きく損するケース、それは、皆も強気、自分も強気、株価は最高値に近い、そういうときに建てた大きなポジション。逆に、皆痛みを伴っていて恐くて買いに行けない、そういう時に勇気を振り絞って買いに行くポジションは大やられしない、将来的にはお宝ポジションになるんです。

    2.1K1375721217K viewsView on X
  • Sep 1, 20264.0x their median

    👴長期金利が急上昇しているときに株を買ったっていいことなんて何もないです。これは「基本のキ」です。朝イチにチェックすべきは株価ではなく10年債利回り。そういう習慣つけて。グワングワン動き出したらポジションを少し落とすことも考えたほうが良い。

    2.1K154016117K viewsView on X
  • Mar 4, 20253.6x their median

    👴下落相場の初期には、突然株価が盛り返し、「ほら、もう大丈夫」と思わせる場面があります。これを「強気のわな」と言います。いわゆる「騙し」に他なりません。うかつに手を出すと、またすぐに相場が下がり始め、ただでさえ損を抱えているのに更に傷口を大きくする結果を招きます。

    1.9K1263211241K viewsView on X
  • Nov 12, 20243.3x their median

    👴源泉徴収って、あるじゃないですか?あれ、大発明だよね。「確定申告なしでオッケ」にすることで、国民の納税に対する感覚を鈍感にしている。それは、ひいては日本人のマネー・リテラシーの低さへとつながっている。

    1.7K1503826161K viewsView on X
  • Apr 2, 20253.1x their median

    👴戦況が不利になると意気消沈し、考えることをやめてしまうのが日本人。何度でも作戦を立て直し、根気よく戦うのがアメリカ人。パンチを喰らったら顎を引いてガードを固め、また撃ち返せばいいだけ。ついでに言えばそれは株式投資もそうだし、ビジネスだってそう。それが人生というもの。

    1.6K142489146K viewsView on X
  • Mar 22, 20263.0x their median

    👴いちばん普通に相場が底入れするパターン。①債券利回りが下がる ②VIXが凄く高くなった後でゆっくり下がりはじめる、というコンビネーションが起きた時です。反対にVIXが日々下がらずにギザギザと揉んでいる時はまだ出動するには早すぎます。それを見極めてください。

    1.6K13709154K 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 580 interactions against 251K followers, an engagement rate of 0.232%. Posts are seen about 43K times each, and 1.34% of those impressions turn into an interaction. That is about 17.2% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.13 posts a day over the last 30 days, though only 13% of days saw any activity at all. Most posts go out around 23:00 UTC, and Tuesday is the busiest day of the week. Of the 4 posts sampled, 50% link out. The account's strongest tracked post pulled 4.6K interactions, about 7.9x 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 ばっちゃま's engagement rate on X?
ばっちゃま (@jicchamatome) has an engagement rate of 0.232%, based on the median interactions across 4 original posts from the last 30 days against 250,659 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.232%, ばっちゃま sits above the 50th percentile of the 66,128 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 @jicchamatome have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @jicchamatome post?
Most posts go out around 23:00 UTC, and Tuesday is its busiest day, at roughly 0.13 posts per day across the measured window.

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