Jodi Sta.Maria engagement report
@JodiStaMaria - 2.7M followers on X
Measured over 20 original posts from a 30-day window, last computed on October 7, 2026.
Engagement
A typical post picks up 98 interactions against 2.7M followers, an engagement rate of 0.004%. Measured over 20 original posts, its engagement rate beats 23% 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 24K times each, and 0.41% of those impressions turn into an interaction. That is about 0.871% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.8 posts a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 02:00 UTC, and Saturday is the busiest day of the week. Of the 20 posts sampled, 70% carry an image or video, 5% are part of a thread and 5% link out. The account's strongest tracked post pulled 170K interactions, about 288x its own typical post. Recurring topics include #edjop, #midnightgirls, #2ndmiracleincellno7.
Measured over 20 original posts from a 30-day window, last computed on October 7, 2026. Recurring tags: #edjop, #midnightgirls, #2ndmiracleincellno7.
Compared with accounts its own size
Jodi Sta.Maria's engagement rate beats 23% 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 0.004%, Jodi Sta.Maria sits above the 10th percentile of the 155,901 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.022%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.003% |
| 25th percentile | 0.022% |
| 50th percentile | 0.127% |
| 75th percentile | 0.604% |
| 90th percentile | 2.32% |
| 99th percentile | 83.3% |
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 02:00 UTC, and Saturday 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.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 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 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
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.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 70% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 5% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | no effect | -2% to -1% | 42K |
- 70% 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.
- 5% 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 242 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.
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
- May 18, 2026288x 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.
- 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
- 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. 💭
- Aug 17, 202688x 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
- May 13, 20263.4x their median
God bless the Philippines 🇵🇭 🙏🏼
- Aug 22, 202651x their median
HINDI KO KINAYA 😭😭😭 https://t.co/SgUhxU2BuH
- 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
- Jun 8, 202613x 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.
- Aug 13, 202621x their median
EDJOP — exclusively in cinemas on SEPTEMBER 16 https://t.co/4qcxVneNae
- Jul 24, 202619x their median
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
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
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 98 interactions against 2.7M followers, an engagement rate of 0.004%. Measured over 20 original posts, its engagement rate beats 23% 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 24K times each, and 0.41% of those impressions turn into an interaction. That is about 0.871% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.8 posts a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 02:00 UTC, and Saturday is the busiest day of the week. Of the 20 posts sampled, 70% carry an image or video, 5% are part of a thread and 5% link out. The account's strongest tracked post pulled 170K interactions, about 288x its own typical post. Recurring topics include #edjop, #midnightgirls, #2ndmiracleincellno7.
- What is Jodi Sta.Maria's engagement rate on X?
- Jodi Sta.Maria (@JodiStaMaria) has an engagement rate of 0.004%, based on the median interactions across 20 original posts from the last 30 days against 2,746,150 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.004%, Jodi Sta.Maria sits above the 10th percentile of the 155,901 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?
- Its engagement rate beats 23% 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 @JodiStaMaria post?
- Most posts go out around 02:00 UTC, and Saturday is its busiest day, at roughly 1.8 posts per day across the measured window.