Team Jumbo-Visma cycling
Dutch World Tour cycling team🇳🇱🚴🏻♂️ Follow @JumboVismaWomen & @JumboVismaDT💛🖤
306,719
Followers
392
Following
49,677
Tweets
425.9
Avg Engagement
3,854
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @JumboVismaRoad'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: Macro Influencer (100K+)
- Account Age:2012-12-06
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:404.4
- Avg Retweets per Tweet:21.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsThe account has a high average number of likes and retweets, showing strong audience interaction. The engagement is likely driven by visually appealing content and team-related updates.
404.4
Avg Likes/Tweet
21.5
Avg Retweets/Tweet
1,314,329
Total Likes
69,960
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
141
Median Likes
5
Median Retweets
394
75th Percentile
33,214
Top Tweet
1.39
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
91.4%
Original
4.0%
Replies
2.6%
Retweets
2.0%
Quotes
0.0%
Threads
0.8%
With Media
48.5%
With Links
89.5%
With #Tags
27.6%
With @Mentions
97.5%
With Emojis
112
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.04
Reply/Original Ratio
0.8
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
61.8%
Weekday Posts
38.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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 83 retweets (3% 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 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 primary audience consists of cycling enthusiasts, sports fans, and followers of the Jumbo Visma team. The audience is likely interested in professional cycling, team dynamics, and athlete stories.
Average
Audience Quality
29.9%
Suspicion Index
43.2%
Low-Quality %
12
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
56.7%
Empty Bio
40.1%
<10 Tweets
5.3%
Mass Following (>2K)
0.0%
New (<90 days)
61.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.7%
No URL
29.8%
<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.
13,259,620
Total Potential Reach
12
Median Follower Reach
73
75th Percentile Reach
2.8%
>1K followers
0.3%
>10K followers
0.1%
>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).
39.5%
Creators
19,760 accounts
20.4%
Consumers
10,193 accounts
40.1%
Dormant
20,047 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):
229
Verified Followers
0.23% of total
9,682
Protected Accounts
9.68% 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 |
|---|---|---|---|
| @vdsar1970 | 1,611,280 | CEO | Football, Philanthropy, Leadership |
| @pramonoanung | 1,168,695 | Politician | Politics, Government, Indonesia |
| @JanVertonghen | 939,537 | Footballer | Football, SL Benfica, Belgian National Team |
| @BRUNOIERULLO | 936,640 | Fashion Designer | Fashion, Design, Documentary |
| @mario_sabato | 599,445 | Sports Fan | Sports, Fan, Mario Sabato |
| @tjcope | 547,852 | Sports broadcaster | Deportes, Entretenimiento, Radio |
| @gillesverdez | 540,143 | Chroniqueur | TV, Radio, Anti-langue de bois |
| @EliudKipchoge | 522,711 | Athlete | Running, Olympics, Ambassador |
| @Matador000 | 489,165 | Caricaturist | Caricatures, Art, Humor |
| @estradaisa | 485,699 | Actress | Correr, Actuar, Presentar |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
46,363
Followers With Bio
53,637
Followers Without Bio
46.36%
% With Bio
53.64%
% 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 3,250 analyzed82,927
Combined Engagement
76,600
Total Likes
6,327
Total Retweets
16,585
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
100%
With Hashtags
40%
With @Mentions
100%
With Links
Topical Analysis:
🎨 #OurMasterpiece What a crowd in Copenhagen😱 https://t.co/Bqfx7J4WK7
🎨 #OurMasterpiece Just ＷＯＷ😍🇩🇰 https://t.co/drvbxrVW0W
🇪🇸 #LaVuelta22 Unfortunately, @rogla will not be at the start of stage 17 as a consequence of yesterday’s crash. Get well soon, champion! Thank you for all the beautiful moments in this Vuelta. You had ambitious plans for the final days, but sadly it isn’t meant to be. 😔🍀 http
🇫🇷 #TDF2022 𝐎𝐇 𝐌𝐘… 🥹 We just won @LeTour. 😍😍😍 https://t.co/8K8nVh5p1v
🇫🇷 #TDF2022 This means so much to all of us! 😍🔥 https://t.co/5Us88rawfh
Key Insights & Takeaways
The account uses visually engaging content to capture attention and promote team events. It emphasizes athlete well-being and team support, which fosters a positive brand image. The use of hashtags and links to specific events helps in driving traffic and increasing visibility.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 306,719
- + 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 @JumboVismaRoad reveals an well-established Twitter presence with 306,719 followers. The account demonstrates a content-creator strategy, averaging 425.9 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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