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OECD ➡️ Better Policies for Better Lives engagement report

@OECD - 689K followers on X

Measured over 59 original posts from a 30-day window, last computed on October 3, 2026.

Engagement

Bottom quarter for its size
Per follower
0.002%
of 689K followers
Per impression
0.475%
3.4K views on a typical post
Reach
0.49%
of its followers see a post
Typical post
16
interactions (median)
Saved
0.03%
1 bookmarks on a typical post
Posting rate
3.97/day
active 47% of days
Peak time
10:00 UTC
Friday

A typical post picks up 16 interactions against 689K followers, an engagement rate of 0.002%. Measured over 59 original posts, its engagement rate beats 18% of 20,444 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 3.4K times each, and 0.475% of those impressions turn into an interaction. That is about 0.489% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4 posts a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 10:00 UTC, and Friday is the busiest day of the week. Of the 59 posts sampled, 100% carry an image or video, 5% are part of a thread and 92% link out. The account's strongest tracked post pulled 199 interactions, about 12x its own typical post. Recurring topics include #oecd, #ai, #oecdpisa.

Measured over 59 original posts from a 30-day window, last computed on October 3, 2026. Recurring tags: #oecd, #ai, #oecdpisa.

Compared with accounts its own size

OECD ➡️ Better Policies for Better Lives's engagement rate beats 18% of the tracked X accounts closest to it in follower count (20,444 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 30% 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%, OECD ➡️ Better Policies for Better Lives sits below the 10th percentile of the 205,048 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,048 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,894 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 percentile0.004%
25th percentile0.024%
50th percentile0.143%
75th percentile0.678%
90th percentile2.55%
99th percentile82.4%

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 10:00 UTC, and Friday 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: 10:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 10:00 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: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Friday
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 video100% of posts+111%+108% to +115%34K
Outbound link92% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 100% 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.
  • 92% 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 271 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

  • Sep 8, 202612x their median

    The #OECD's Programme for International Student Assessment (#OECDPISA) is the world's largest survey of 15-year-old students. OECD Director for Education and Skills, Andreas Schleicher explains what PISA reveals about students' results ⤵️ https://t.co/3BBYTwGF2u

    121684615K viewsView on X
  • Sep 10, 20264.1x their median

    Year-on-year energy inflation within the OECD and core inflation (inflation excluding food and energy) were broadly stable at 11.6% and 3.6%, respectively, although energy inflation remained above 10% for the fourth consecutive month. 🔗 https://t.co/MMi0MIuVK1 | #OECDstats https://t.co/bWoWf5dSRb

    4023114.9K viewsView on X
  • Sep 9, 20263.7x their median

    The #OECD headline inflation was broadly stable at 4.1% in July 2026. Increases in headline inflation across 13 OECD countries were largely balanced by declines in 14, while rates remained broadly stable in 11. Learn more via our link in bio ⤴️ #OECDstats https://t.co/29WcaQ1Mpe

    3719216.1K viewsView on X
  • Sep 11, 20263.3x their median

    Countries with the highest-performing education systems are not always those that spend the most. The new #OECDPISA results show that investment in education is associated with stronger science performance, but only up to a point. https://t.co/5bg4e4v3Q8

    3414414.3K viewsView on X
  • Aug 22, 20263.0x their median

    Register now for the 2026 #OECD Forum on Green Finance and Investment, taking place on 7-8 October. Supported by @JapanGov, this year’s Forum will explore how we can invest energy security in a changing world. 🔗 https://t.co/6dYdYS5MLD https://t.co/XK5Ml7J2Vy

    3412114.9K viewsView on X
  • Aug 23, 20262.5x their median

    #OECDPISA is the world’s largest educational survey of 15-year-old students. This year’s results will focus on science. Learn more about the importance of reading and studying science from Astronaut @Cmdr_Hadfield ⤵️ https://t.co/4oFgERjdnK

    3163020K viewsView on X
  • Aug 31, 20262.4x their median

    Apply to current #OECD vacancies in: ➡️ @OECDtax ➡️ Directorate for Science, Technology and Innovation ➡️ @IEA ➡️ @OECD_Stat and more... Join us in shaping #BetterPoliciesForBetterLives. Apply here: https://t.co/OeK3Nd2cFY #OECDcareers https://t.co/Cc4iwfM4GG

    279208.3K viewsView on X
  • Aug 30, 20262.4x their median

    Even as they get older, younger generations across #OECD countries continue to have lower homeownership rates. Explore OECD analysis on household wealth and the inequalities affecting younger generations: https://t.co/Lyfxr2Sq17 #OECDyouth https://t.co/FeJZu2D4nv

    2210248.3K viewsView on X
  • Sep 30, 20262.3x their median

    Countries with the highest-performing education systems are not always those that spend the most. The new #OECDPISA results show that investment in education is associated with stronger science performance, but only up to a point. 🔗 https://t.co/dPmjsXeRuD https://t.co/3VS35N8GxG

    1812334.2K viewsView on X
  • Aug 27, 20262.2x their median

    Income taxes boosted government revenues in Asia and the Pacific in 2024. The regional average tax-to-GDP ratio rose to 19.7%, the fourth consecutive annual increase. Personal and corporate income taxes drove the increase Read the #RevStatsAP report: https://t.co/aIb3xTXqz2 https://t.co/2IftttpOBr

    23101121K 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

#oecd#ai#oecdpisa#oecdstats#economicoutlook

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 16 interactions against 689K followers, an engagement rate of 0.002%. Measured over 59 original posts, its engagement rate beats 18% of 20,444 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 3.4K times each, and 0.475% of those impressions turn into an interaction. That is about 0.489% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4 posts a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 10:00 UTC, and Friday is the busiest day of the week. Of the 59 posts sampled, 100% carry an image or video, 5% are part of a thread and 92% link out. The account's strongest tracked post pulled 199 interactions, about 12x its own typical post. Recurring topics include #oecd, #ai, #oecdpisa.

What is OECD ➡️ Better Policies for Better Lives's engagement rate on X?
OECD ➡️ Better Policies for Better Lives (@OECD) has an engagement rate of 0.002%, based on the median interactions across 59 original posts from the last 30 days against 688,692 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.002%, OECD ➡️ Better Policies for Better Lives sits below the 10th percentile of the 205,048 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 @OECD have real engagement?
Its engagement rate beats 18% of the tracked X accounts closest to it in follower count (20,444 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 @OECD post?
Most posts go out around 10:00 UTC, and Friday is its busiest day, at roughly 3.97 posts per day across the measured window.

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