4,175,386
Followers
243
Following
57,021
Tweets
2,033.6
Avg Engagement
13,578
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @celtics'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:2008-12-15
- Verification:Yes
- Location:Boston, MA
Data Summary
- Tweets Analyzed:3,248
- Avg Likes per Tweet:1,834.3
- Avg Retweets per Tweet:199.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,248 tweetsThe account consistently receives high engagement, suggesting that its content resonates well with its audience. The use of emojis and links to media likely contributes to this engagement.
1,834.3
Avg Likes/Tweet
199.3
Avg Retweets/Tweet
5,957,682
Total Likes
647,427
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
868
Median Likes
84
Median Retweets
2,066
75th Percentile
46,035
Top Tweet
0.49
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
90.0%
Original
1.8%
Replies
5.8%
Retweets
2.5%
Quotes
0.0%
Threads
0.1%
With Media
87.4%
With Links
17.5%
With #Tags
26.1%
With @Mentions
46.2%
With Emojis
92
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.02
Reply/Original Ratio
0.43
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
66.6%
Weekday Posts
33.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,248 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 187 retweets (6% 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 3,248 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 likely composed of passionate NBA fans, especially those who support the Boston Celtics. The account appeals to both casual and dedicated followers of the team.
Below Average
Audience Quality
39.9%
Suspicion Index
61.0%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
66.3%
Empty Bio
67.8%
<10 Tweets
1.6%
Mass Following (>2K)
0.0%
New (<90 days)
75.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.2%
No URL
55.7%
<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.
5,085,023
Total Potential Reach
2
Median Follower Reach
12
75th Percentile Reach
1.2%
>1K followers
0.1%
>10K followers
0.0%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
16.4%
Creators
8,181 accounts
15.8%
Consumers
7,919 accounts
67.8%
Dormant
33,900 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):
259
Verified Followers
0.26% of total
11,163
Protected Accounts
11.06% of total
2 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 |
|---|---|---|---|
| @WWESheamus | 4,795,879 | Wrestler | WWE, Sheamus, Celtic Warrior |
| @alantacher | 699,223 | TV Host | Family, TV Host, Fitness |
| @CryptoGemsCom | 572,764 | - | - |
| @CryptoBro100x | 381,131 | Cryptocurrency Trader | Trading, Promoting, Community |
| @diariodamanha | 197,361 | Journalist | News, Journalism, Media |
| @JBLaudio | 191,435 | Audio Brand | Music, Sound, Immersive |
| @goldietaylor | 170,867 | Writer | Writing, Activism, Politics |
| @1JovanJordanXXX | 149,984 | Adult Entertainer | Adult, Business, Email |
| @danieladroz | 119,041 | Entertainer | God, Family, Music |
| @mcmansionhell | 97,152 | Journalist | architecture, cycling, journalism |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
34,405
Followers With Bio
66,565
Followers Without Bio
34.07%
% With Bio
65.93%
% 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 3,248 analyzed195,739
Combined Engagement
174,253
Total Likes
21,486
Total Retweets
39,148
Avg per Tweet
Key Metrics for Viral Tweets
20%
With Media
0%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
Joe Mazzulla is officially the 19th Head Coach in franchise history 👏🏾👏🏾👏🏾 https://t.co/LMcTLS1u0m
⭐️ JAYSON TATUM MVP ⭐️ https://t.co/RumC0JOdcC
these are the photos we live for 😂 https://t.co/vGpMWfSqjR
no villains, only heroes 🔥😤 https://t.co/WOMpyqLPTu
Statement. Made. https://t.co/MUmSY1ovGK
Key Insights & Takeaways
The account frequently highlights key team members and milestones, which helps in building a connection with fans. It uses emojis and links to media to enhance the visual and interactive experience for followers. The focus on major events and achievements helps in maintaining a strong and relevant presence on the platform.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 4,175,386
- + 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 @celtics reveals an exceptionally influential Twitter presence with 4,175,386 followers. The account demonstrates a content-creator strategy, averaging 2,033.6 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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