La Vuelta
Β‘La pasiΓ³n que nos une! π πΊπΈ @seppkuss #LaVuelta24 π 17/08-08/09
477,441
Followers
680
Following
22,925
Tweets
162.3
Avg Engagement
4,033
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @lavuelta'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:2011-04-11
- Verification:Yes
- Location:Not specified
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:133.0
- Avg Retweets per Tweet:29.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,249 tweetsThe account has high engagement with an average of 2,892 likes and 601 retweets per tweet. The content is well-received and often praised for its emotional impact.
133.0
Avg Likes/Tweet
29.3
Avg Retweets/Tweet
432,034
Total Likes
95,247
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
61
Median Likes
11
Median Retweets
141
75th Percentile
4,057
Top Tweet
0.34
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
76.3%
Original
5.3%
Replies
14.4%
Retweets
4.0%
Quotes
0.0%
Threads
2.1%
With Media
85.1%
With Links
78.5%
With #Tags
77.6%
With @Mentions
90.6%
With Emojis
183
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.07
Reply/Original Ratio
0.28
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.8%
Weekday Posts
28.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,249 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 469 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 3,249 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 cycling enthusiasts and fans of the Vuelta a EspaΓ±a. They are likely interested in sports, motivation, and athlete stories.
Average
Audience Quality
27.3%
Suspicion Index
37.7%
Low-Quality %
18
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
51.6%
Empty Bio
33.4%
<10 Tweets
5.9%
Mass Following (>2K)
0.0%
New (<90 days)
58.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.4%
No URL
23.8%
<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.
44,196,461
Total Potential Reach
18
Median Follower Reach
96
75th Percentile Reach
3.4%
>1K followers
0.4%
>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).
45.8%
Creators
22,922 accounts
20.7%
Consumers
10,357 accounts
33.4%
Dormant
16,721 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):
324
Verified Followers
0.32% of total
10,674
Protected Accounts
10.67% of total
7 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 | 14,104,434 | Wrestler | Wrestling, Motivation, Self-promotion |
| @BenStiller | 5,606,399 | Actor | UNHCR, Goodwill Ambassador, Refugees |
| @AlvaroUribeVel | 5,231,339 | Politician | Politics, Colombia, Leadership |
| @teleamazonasec | 2,711,998 | News Broadcaster | noticias, entretenimiento, deportes |
| @UranRigoberto | 1,472,584 | Cyclist | Cycling, Professional, Athlete |
| @giroditalia | 782,931 | Cycling | Cycling, Italy, Passion |
| @ramirez_polo | 671,475 | Journalist | N/A |
| @IamMzilikazi | 546,424 | Musician | Pan-African music, Album, Rise |
| @pablocasado_ | 544,050 | Politician | politics, leadership, conservative |
| @partidazocope | 526,368 | Sports Journalist | Deportes, Radio, Medianoche |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
51,906
Followers With Bio
48,094
Followers Without Bio
51.91%
% With Bio
48.09%
% 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 3,249 analyzed18,349
Combined Engagement
15,618
Total Likes
2,731
Total Retweets
3,670
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
π Lecciones de ππππππππΜπ π π @UranRigoberto: β€οΈ "Siempre hay que creer aunque lo veamos muy lejos. Levantarnos cada dΓa con actitud, con felicidad e intentarlo." π€© "Nunca perder la ilusiΓ³n. Si lo conseguimos, felices. Si no, lo seguimos intentando." #LaVuelta22 https://t.co/S
ππππππππππππ ππππππππππππ ππππππππππππ ππππππππππππ β€οΈπ π π π π π π @alejanvalverde, one of a kind! A rider for the ages! #LaVuelta22 https://t.co/kkpzj4BofA
π¨π¨π¨π¨π¨π¨π¨π¨π¨π¨ π¨π¨π¨β¬β¬β¬β¬π¨π¨π¨ π¨π¨π¨π¨π©π©π¨π¨π¨π¨ π¦π¦π¦π¨π₯π₯π¨π¦π¦π¦ π¦π¦π¦π¦π¦π¦π¦π¦π¦π¦ π₯π₯π₯π₯π₯π₯π₯π₯π₯π₯ π₯π₯π₯π₯π₯π₯π₯π₯π₯π₯ π@RichardCarapazM - @INEOSGrenadiers π πππ£ππππππππ π πΏπ πππππππ π πππΜππ π΅ππππππ #LaVuelta22 https://t.co/J6fN22Ej1C
πͺπ» Β‘RecupΓ©rate pronto, @Eganbernal! π¨π΄ ππ» Get well soon, Egan! πΈ @charlylopezph https://t.co/3W6nTNVSK6
πEtapa 1β£4β£ | Stage 1β£4β£ π πͺπ¨ @RichardCarapazM - @INEOSGrenadiers πΒ‘LA LOCOMOTORA! #LaVuelta22 https://t.co/XMqX0MTajs
Key Insights & Takeaways
The account uses emojis and hashtags to create an energetic and passionate tone. It frequently references specific cyclists and events, which helps build a sense of community and loyalty. The content often includes motivational messages and tributes, which resonate strongly with the audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 477,441
- + 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 @lavuelta reveals an well-established Twitter presence with 477,441 followers. The account demonstrates a content-creator strategy, averaging 162.3 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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