MoMA The Museum of Modern Art
Connecting people from around the world to the art of our time.
5,212,689
Followers
3,228
Following
16,058
Tweets
201.7
Avg Engagement
30,470
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MuseumModernArt'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: Mega Influencer (1M+)
- Account Age:2008-06-09
- Verification:Yes
- Location:New York, New York
Data Summary
- Tweets Analyzed:3,239
- Avg Likes per Tweet:157.0
- Avg Retweets per Tweet:44.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,239 tweetsThe account maintains high engagement with an average of 12,719 likes and 2,479 retweets per tweet, indicating strong audience interaction.
157.0
Avg Likes/Tweet
44.7
Avg Retweets/Tweet
508,625
Total Likes
144,718
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
65
Median Likes
18
Median Retweets
175
75th Percentile
123,121
Top Tweet
0.04
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
59.7%
Original
20.7%
Replies
14.1%
Retweets
5.5%
Quotes
0.0%
Threads
7.0%
With Media
81.1%
With Links
46.8%
With #Tags
44.5%
With @Mentions
21.5%
With Emojis
214
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.35
Reply/Original Ratio
0.39
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
84.3%
Weekday Posts
15.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,239 tweetsContent Type Distribution
Content Breakdown
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 457 retweets (14% 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 3,239 tweetsEngagement 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 50,000 followersThe audience is primarily interested in modern and contemporary art, with a global presence due to the museum's international reputation.
Average
Audience Quality
28.5%
Suspicion Index
38.1%
Low-Quality %
11
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
44.7%
Empty Bio
42.0%
<10 Tweets
7.2%
Mass Following (>2K)
0.0%
New (<90 days)
56.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
82.6%
No URL
31.5%
<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.
Try Bot DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
38,438,170
Total Potential Reach
11
Median Follower Reach
70
75th Percentile Reach
5.1%
>1K followers
0.8%
>10K followers
0.1%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
35.0%
Creators
17,502 accounts
23.0%
Consumers
11,505 accounts
42.0%
Dormant
20,993 accounts
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):
1,596
Verified Followers
1.58% of total
10,465
Protected Accounts
10.36% of total
3 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 |
|---|---|---|---|
| @harbhajan_singh | 11,843,812 | Cricketer | Cricket, Fatherhood, India |
| @johnwinyu | 2,014,211 | Executive Director | Leadership, Innovation, Social Impact |
| @DonaldBKipkorir | 1,373,429 | Lawyer | Corporate Law, Commercial Law, Roman Catholic |
| @TwitterBusiness | 1,352,776 | - | - |
| @milephakphum | 898,242 | Musician | Music, Family, Love |
| @CeliLoraOficial | 811,400 | Model | Modeling, Photography, Social Media |
| @NOH8Campaign | 802,026 | Activism | equality, bullying, discrimination |
| @theJeremyVine | 788,822 | Broadcaster | radio, eggheads, poetry |
| @marvisirmed | 559,151 | Professor | Human rights, media, feminism |
| @stellamarisol_ | 420,115 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
57,066
Followers With Bio
43,923
Followers Without Bio
56.51%
% With Bio
43.49%
% 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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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,239 analyzed148,700
Combined Engagement
118,354
Total Likes
30,346
Total Retweets
29,740
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
20%
With @Mentions
80%
With Links
Topical Analysis:
After 2 weeks of multiple health screens and asking everyone to quarantine, I surprised my closest inner circle with a trip to a private island where we could pretend things were normal just for a brief moment in time. https://t.co/FRLaCSe11J
RT @RexChapman: Check-out this haunting 1902 film of the Wuppertal Suspended Railway in Germany — but now it’s been colorized and upscaled…
Bernie is present https://t.co/r4z2cpyVc1
🤔 https://t.co/dYqSVYYw1R
#MayThe4thBeWithYou https://t.co/ZTKTjMW3f6
Key Insights & Takeaways
The museum uses personal and relatable content to engage followers, such as sharing personal stories and holiday-themed tweets. Interactive prompts like asking followers to share their favorite artworks encourage participation and community building. The use of hashtags and links to external content helps drive traffic and increase visibility.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 5,212,689
- + 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 @MuseumModernArt reveals an well-established Twitter presence with 5,212,689 followers. The account demonstrates a content-creator strategy, averaging 201.7 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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