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Jodi Sta.Maria engagement report

@JodiStaMaria - 2.7M followers on X

Measured over 7 original posts from a 30-day window, last computed on September 1, 2026.

Engagement

Per follower
0.048%
of 2.7M followers
Per impression
1.26%
105K views on a typical post
Reach
3.82%
of its followers see a post
Typical post
1.3K
interactions (median)
Saved
0.049%
51 bookmarks on a typical post
Posting rate
0.37/day
active 27% of days
Peak time
04:00 UTC
Monday

Early reading. We have captured 7 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 1.3K interactions against 2.7M followers, an engagement rate of 0.048%. Posts are seen about 105K times each, and 1.26% of those impressions turn into an interaction. That is about 3.82% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.37 posts a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 04:00 UTC, and Monday is the busiest day of the week. Of the 7 posts sampled, 71% carry an image or video and 14% link out. The account's strongest tracked post pulled 170K interactions, about 128x its own typical post. Recurring topics include #angatbayanihaninaction, #edjop, #edjopthemovie. Only 7 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 7 original posts from a 30-day window, last computed on September 1, 2026. Recurring tags: #angatbayanihaninaction, #edjop, #edjopthemovie.

Where this sits in the catalog

At 0.048%, Jodi Sta.Maria sits above the 25th percentile of the 36,654 accounts in this comparison. That places it in the below the median band, which runs 0.012% to 0.08%.

p100.002%
p250.012%
p50 (median)0.08%
p750.433%
p902.10%
p99160.5%
Engagement rate as a share of followers, across the 36,654 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 106,977 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 percentile0.012%
50th percentile0.08%
75th percentile0.433%
90th percentile2.10%
99th percentile160.5%

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 04:00 UTC, and Monday 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: 04:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 04:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%51K
01:00 UTC-2%52K
02:00 UTC-3%50K
03:00 UTC-4%53K
04:00 UTC-6%43K
05:00 UTC-4%42K
06:00 UTC-4%48K
07:00 UTC-5%52K
08:00 UTC-4%61K
09:00 UTC-3%70K
10:00 UTC-2%72K
11:00 UTC-3%78K
12:00 UTC-2%86K
13:00 UTC-2%94K
14:00 UTC-4%97K
15:00 UTC-2%101K
16:00 UTC-3%98K
17:00 UTC-2%91K
18:00 UTC-1%85K
19:00 UTC-1%80K
20:00 UTC-1%74K
21:00 UTC-1%66K
22:00 UTC-1%57K
23:00 UTC-2%52K
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: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 5%Busiest day: Monday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+4%231K
Monday0%288K
Tuesday-2%278K
Wednesday-1%251K
Thursday-1%245K
Friday-3%253K
Saturday+3%227K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • May 18, 2026128x their median

    A Norwegian neuroscientist spent 20 years proving that the act of writing by hand changes the human brain in ways typing physically cannot, and almost nobody outside her field has read the paper. Her name is Audrey van der Meer. She runs a brain research lab in Trondheim, and the paper that closed the argument was published in 2024 in a journal called Frontiers in Psychology. The finding is brutal enough that it should have changed every classroom on Earth. The experiment was simple. She recruited 36 university students and put each one in a cap with 256 sensors pressed against their scalp to record brain activity. Words flashed on a screen one at a time. Sometimes the students wrote the word by hand on a touchscreen using a digital pen, and sometimes they typed the same word on a keyboard. Every neural response was recorded for the full five seconds the word stayed on screen. Then her team looked at the part of the data most researchers had ignored for years, which is how different parts of the brain were communicating with each other during the task. When the students wrote by hand, the brain lit up everywhere at once. The regions responsible for memory, sensory integration, and the encoding of new information were all firing together in a coordinated pattern that spread across the entire cortex. The whole network was awake and connected. When the same students typed the same word, that pattern collapsed almost completely. Most of the brain went quiet, and the connections between regions that had been alive seconds earlier were nowhere to be found on the EEG. Same word, same brain, same person, and two completely different neurological events. The reason turned out to be something nobody had really paid attention to before her work. Writing by hand is not one motion but a sequence of thousands of tiny micro-movements coordinated with your eyes in real time, where each letter is a different shape that requires the brain to solve a slightly different spatial problem. Your fingers, wrist, vision, and the parts of your brain that track position in space are all working together to produce one letter, then the next, then the next. Typing throws all of that away. Every key on a keyboard requires the exact same finger motion regardless of which letter you are pressing, which means the brain has almost nothing to integrate and almost no problem to solve. Van der Meer said it plainly in her interviews. Pressing the same key with the same finger over and over does not stimulate the brain in any meaningful way, and she pointed out something that should scare every parent who handed their kid an iPad. Children who learn to read and write on tablets often cannot tell letters like b and d apart, because they have never physically felt with their bodies what it takes to actually produce those letters on a page. A decade before her, two researchers at Princeton ran the same fight using a completely different method and ended up at the same answer. Pam Mueller and Daniel Oppenheimer tested 327 students across three experiments, where half took notes on laptops with the internet disabled and half took notes by hand, before testing everyone on what they actually understood from the lectures they had watched. The handwriting group won by a wide margin on every question that required real understanding rather than surface recall. The reason was hiding in the transcripts of what the two groups had actually written down. The laptop students typed almost word for word, capturing more total content but processing almost none of it as they went, while the handwriting students physically could not write fast enough to transcribe a lecture in real time, which forced them to listen carefully, decide what actually mattered, and put it in their own words on the page. That single act of choosing what to keep was the learning itself, and the keyboard had quietly skipped the choosing and skipped the learning along with it. Two studies. Two countries. Same answer. Handwriting makes the brain work. Typing lets it coast. Every note you have ever typed instead of written went into your brain through a thinner pipe. Every meeting, every book highlight, every idea you captured on your phone instead of on paper was processed at half depth. You did not forget those things because your memory is bad. You forgot them because typing never woke the part of the brain that would have made them stick. The fix is the thing your grandmother already knew. Pick up a pen. Write the thing down. The slower road is the faster one.

    119K44K2.5K4.4K10M viewsView on X
  • May 14, 202620x their median

    PUMILI NANG TAMA 🫆 The country we deserve is shaped by the choices we make. Bukas ang voter registration hanggang May 18, 2026. 🗓️Voter Registration Programs and Schedules: https://t.co/MKBfVHE8K4 https://t.co/TeO3dxKMkc

    20K11K28187481K viewsView on X
  • May 14, 202620x their median

    You become the person you worship. Whatever or whoever you devote yourself to eventually shapes your character, values, and identity. Choose wisely. 💭

    21K6.2K48106339K viewsView on X
  • Aug 17, 20266.5x their median

    HOT MEALS FOR COMMUNITIES AFFECTED BY THE FLOODS #AngatBayanihanInAction: As continuous heavy rains brought by the Southwest Monsoon (Habagat) affect communities across NCR, CALABARZON, and nearby areas, the Maginhawa Food Community, through Kusina ng Pag-asa, is mobilizing its https://t.co/VRnNRCyHgS

    7.2K1.4K1241144K viewsView on X
  • May 13, 20263.4x their median

    God bless the Philippines 🇵🇭 🙏🏼

    4.6K683211361K viewsView on X
  • Aug 22, 20263.8x their median

    HINDI KO KINAYA 😭😭😭 https://t.co/SgUhxU2BuH

    4.8K202874799K viewsView on X
  • May 13, 2026

    when she could’ve just excused herself, but my girl refused to miss her wednesday class ;) #MidnightGirls now showing in cinemas nationwide https://t.co/tzZobix6f9

    2.2K91246379K viewsView on X
  • Jun 8, 20261.6x their median

    Praying for our kababayans in Mindanao affected by the magnitude 7.8 earthquake. Makinig po tayo sa abiso ng PHIVOLCS, NDRRMC, at local authorities. Unahin ang kaligtasan, lumikas kung kailangan, at mag-ingat sa aftershocks.

    1.8K3490470K viewsView on X
  • Aug 13, 20261.6x their median

    EDJOP — exclusively in cinemas on SEPTEMBER 16 https://t.co/4qcxVneNae

    1.6K4031147161K viewsView on X
  • Jul 24, 2026

    We all become our mothers eventually. But what if you've never really known her? Jodi Sta. Maria and Agot Isidro learn the true meaning of family in Ganito, Ganyan, Ganoon this August 13, only on Netflix. #GanitoGanyanGanoon #JodiStaMaria #AgotIsidro https://t.co/JgSQKnEg6w

    1.4K2835161229K 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

#angatbayanihaninaction#edjop#edjopthemovie#ganitoganyanganoon#history

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.

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Reading these numbers

A typical post picks up 1.3K interactions against 2.7M followers, an engagement rate of 0.048%. Posts are seen about 105K times each, and 1.26% of those impressions turn into an interaction. That is about 3.82% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.37 posts a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 04:00 UTC, and Monday is the busiest day of the week. Of the 7 posts sampled, 71% carry an image or video and 14% link out. The account's strongest tracked post pulled 170K interactions, about 128x its own typical post. Recurring topics include #angatbayanihaninaction, #edjop, #edjopthemovie. Only 7 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 Jodi Sta.Maria's engagement rate on X?
Jodi Sta.Maria (@JodiStaMaria) has an engagement rate of 0.048%, based on the median interactions across 7 original posts from the last 30 days against 2,746,767 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.048%, Jodi Sta.Maria sits above the 25th percentile of the 36,654 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 @JodiStaMaria have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @JodiStaMaria post?
Most posts go out around 04:00 UTC, and Monday is its busiest day, at roughly 0.37 posts per day across the measured window.

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