OECD_Centre

OECD_Centre

@OECD_Centre

We tweet about policies for social and #economic #development, well-being, #GenderEquality and #ClimateAction in #Africa, #Asia and #LatinAmerica.

Paris, France https://www.oecd.org/development Joined 2008-09-29 Date of Analysis: Dec 16, 2025

82,303

Followers

2,985

Following

23,835

Tweets

9.1

Avg Engagement

1,805

Listed

Yes

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @OECD_Centre's Twitter/X presence across multiple dimensions. We analyze tweet content, engagement patterns, audience demographics, posting habits, and network connections to provide actionable insights about this account's social media strategy and influence.

Account Classification

  • Account Size: Mid-Tier (10K+)
  • Account Age:2008-09-29
  • Verification:Yes
  • Location:Paris, France

Data Summary

  • Tweets Analyzed:3,250
  • Avg Likes per Tweet:2.7
  • Avg Retweets per Tweet:6.4
  • Followers Analyzed:10,000

Engagement Analysis

Based on 3,250 tweets

On average, tweets receive 57 likes and 37 retweets, indicating moderate engagement. The account's verified status at 1.3% suggests a focus on credibility and institutional authority.

2.7

Avg Likes/Tweet

6.4

Avg Retweets/Tweet

8,811

Total Likes

20,779

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

1

Median Likes

3

Median Retweets

9

75th Percentile

777

Top Tweet

0.11

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Curator

Amplifies others content frequently

44.2%

Original

5.5%

Replies

44.2%

Retweets

6.1%

Quotes

0.0%

Threads

0.1%

With Media

97.4%

With Links

88.3%

With #Tags

65.9%

With @Mentions

75.1%

With Emojis

252

Avg Length

Audience Reaction Profile

Broadcast

Focuses on original content over replies

0.12

Reply/Original Ratio

0.14

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

87.5%

Weekday Posts

12.5%

Weekend Posts

Top Hashtags

#devmatters (320) #devat60 (219) #sigi (210) #devtalks (183) #latinamerica (134) #economicoutlook (113) #genderequality (112) #lacforum (111) #oecd (107) #africadevelopment (104)

Most Mentioned

@oecd_centre (820) @oecd (282) @oecddev (266) @oecdtax (100) @oecd_env (64) @rearnadottir (64) @ocde_fr (59) @ocdeenespanol (57) @mathiascormann (53) @oecdtokyo (52)

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Content Strategy Analysis

Based on 3,250 tweets

Content Type Distribution

Content Breakdown

Original Tweets 1,435 (44%)
Replies 179 (6%)
Retweets 1,437 (44%)
Quote Tweets 199 (6%)

What This Reveals About Their Strategy

This is a content-creator focused account that primarily shares original thoughts, ideas, and media. With original content dominating their feed, they position themselves as a source of new information rather than a curator. This strategy works well for establishing thought leadership.

The 1,437 retweets (44% of activity) show they also amplify content from others, which helps build relationships with other accounts and provides value to followers by surfacing relevant content.

Posting Patterns & Optimal Timing

Based on 3,250 tweets

Engagement by Hour (UTC)

Posting Frequency Over Time

Timing Insights

Understanding when an account posts and when their audience is most responsive provides valuable competitive intelligence. The charts above show when this account's content receives the most engagement, which often correlates with when their specific audience is most active on the platform.

Peak posting times vary significantly based on an account's audience demographics, timezone distribution, and content type. Accounts with global audiences often see engagement spread across multiple time windows, while those with regional focus may have more concentrated peaks.

Audience Demographics

Based on 10,000 followers

The primary audience includes policymakers, researchers, and professionals interested in development and sustainability. The content is tailored for those seeking evidence-based strategies for social and economic progress.

Average

Audience Quality

24.5%

Suspicion Index

23.1%

Low-Quality %

83

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

31.2%

Empty Bio

22.3%

<10 Tweets

23.6%

Mass Following (>2K)

0.0%

New (<90 days)

48.9%

Low Ratio (<0.1)

0.0%

New (<180 days)

77.4%

No URL

15.0%

<3 Tweets

Free Mode Analysis: These quality metrics use heuristic signals (empty bios, low tweets, suspicious ratios). For ML-powered bot detection with 95%+ accuracy, use our dedicated tool.

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Follower Reach & Influence

This account's followers have their own audiences, creating potential for secondary amplification.

31,114,297

Total Potential Reach

83

Median Follower Reach

345

75th Percentile Reach

11.6%

>1K followers

2.2%

>10K followers

0.6%

>50K followers

0.2%

>100K followers

Creator vs Consumer Split

Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).

57.8%

Creators

5,781 accounts

19.9%

Consumers

1,993 accounts

22.3%

Dormant

2,226 accounts

126

Verified Followers

1.26% of total

13.9%

Professional Bios

founder, dev, analyst, etc.

0.1

Median Follow Ratio

follower/following

Follower Influence Distribution

How many followers do their followers have?

Follower Account Age

How long have followers been on Twitter?

Geographic Distribution

Top locations where followers are based (from those who share location data):

Paris, France (113) Bogotá, D.C., Colombia (85) Nairobi, Kenya (59) London, England (59) Colombia (54) New Delhi, India (54) India (52) Washington, DC (47) Ethiopia (41) Kampala, Uganda (38)

126

Verified Followers

1.26% of total

1,170

Protected Accounts

11.7% of total

6 years

Avg Account Age

of their followers

Notable Followers (By Influence)

Top accounts following this user, sorted by their follower count:

Username Followers Profession Interests
@JohnCena 14,098,041 Wrestler Wrestling, Motivation, Self-promotion
@marvi_memon 2,071,726 Politician Politics, Poverty Alleviation, Advisory Council
@Ahmad_Neamah 628,957 Islamic Scholar Islamic Jurisprudence, Religious Education, Religious Authority
@rocionahle 606,048 Politician Energy, Mexico, Government
@unwomenindia 577,145 Advocacy gender equality, women's empowerment, UN entity
@RobertBiedron 417,168 Politician Lewica, KobietaDecyduje, Parlament Europejski
@ONUBrasil 382,949 Diplomacy Sustainable Development, Human Rights, Global Goals
@tveitdal 346,279 Environmental Activist Climate Change, Renewable Energy, Nature
@jorcervan 237,202 Writer Mythology, Self-discovery, Openness
@NeaminZeleke 206,411 Researcher Politicalecology, Politicaleconomy, EnergyTransition

Top Keywords in Follower Bios

development (382) views (273) policy (250) international (247) phd (242) research (223) social (214) student (197) global (183) economics (177)

Top Hashtags in Follower Bios

#sdgs (36) #innovation (13) #sustainability (12) #education (12) #finance (11) #africa (11) #ai (10) #climatechange (10) #e (9) #genderequality (8)

6,883

Followers With Bio

3,117

Followers Without Bio

68.83%

% With Bio

31.17%

% Without Bio

Why Audience Demographics Matter

Understanding who follows an account reveals the type of influence they hold. Accounts followed primarily by users with few followers indicate broad, mainstream appeal. Those with many high-follower followers have greater potential for content amplification through secondary sharing.

Account age distribution also tells a story: a follower base with many new accounts might indicate recent viral growth, while established followers suggest long-term, stable influence. Geographic data helps understand the cultural context and timezone spread of the audience.

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Viral Tweets

Top 5 by likes+RTs from 3,250 analyzed

2,177

Combined Engagement

0

Total Likes

2,177

Total Retweets

435

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

60%

With Hashtags

100%

With @Mentions

80%

With Links

Topical Analysis:

Social Development Economic Development Gender Equality Climate Action Policy Analysis Data Sharing
OECD_Centre
@OECD_Centre

RT @UN_Women: Reminder: Equal rights for women does not mean fewer rights for men. 🤷 It’s not a pizza! 🍕 𝐖𝐞 𝐀𝐋𝐋 𝐝𝐞𝐬𝐞𝐫𝐯𝐞 𝐭𝐨 𝐡𝐚𝐯𝐞 𝐞𝐪𝐮𝐚𝐥 𝐫𝐢𝐠𝐡𝐭𝐬. Are you with us? https://t.co/nIyk7bCw3l

2023-02-22
Retweets: 777 Likes: 0 Engagement: 777
OECD_Centre
@OECD_Centre

RT @OECD_ENV: Today @OECD releases🆕report calling on governments to take urgent action against the risks of #climate #tippingpoints! The latest research shows these self-reinforcing, severe &amp; irreversible changes could occur far sooner &amp; at lower levels of warming. 👉htt

2022-12-05
Retweets: 442 Likes: 0 Engagement: 442
OECD_Centre
@OECD_Centre

RT @UN_Women: Gender equality can only be achieved if #AllWomen and girls are included. This means #LGBTIQ+ women too! Your voice is your power – raise it! Together, we can create a truly free &amp; equal world for all. #IStandWithHer #StandUp4HumanRights Learn more: https:

2023-02-24
Retweets: 331 Likes: 0 Engagement: 331
OECD_Centre
@OECD_Centre

RT @antonioguterres: 1 in 3 people lack early warning systems coverage. As climate impacts worsen, this injustice cannot persist. We must ensure universal early warning systems coverage in the next 5 years. https://t.co/hxn0Kl8B6I

2022-09-13
Retweets: 320 Likes: 0 Engagement: 320
OECD_Centre
@OECD_Centre

RT @COP26: Today is #CleanAirDay ☁️☀️ We can and must advance the global transition to clean energy. Hear more from the mothers campaigning to make our planet a safer, cleaner place for their children 👇 @parents4futureG | @OurKidsClimate | @EllaRobertaFdn https://t.co/0PPQUGuy

2022-06-16
Retweets: 307 Likes: 0 Engagement: 307

Key Insights & Takeaways

The account frequently shares data and reports on critical global issues such as gender equality and climate action. It highlights the intersection of economic development with social well-being and sustainability. The use of hashtags and multimedia elements helps to increase visibility and engagement.

Strengths

  • + Established follower base of 82,303
  • + Strong original content creation
  • + Active presence with consistent posting

Opportunities

  • ~ Optimize posting times for peak engagement windows
  • ~ Analyze top-performing content for replicable patterns
  • ~ Leverage geographic concentration for targeted content
  • ~ Explore collaboration potential with followed accounts

Summary

This analysis of @OECD_Centre reveals an growing Twitter presence with 82,303 followers. The account demonstrates a content-creator strategy, averaging 9.1 engagements per tweet. Key strengths include consistent posting and an engaged audience, with opportunities to further optimize timing and content strategy based on the patterns identified in this report.

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About This Analysis: This analysis is based on a snapshot of followers, following, and recent tweets. It evaluates structure, quality, and behavior, not historical growth. Metrics like growth rate, momentum, churn, or spike analysis require time-series data which is not available from a single snapshot.

Data collected and analyzed by twtData | Analysis date: Dec 16, 2025