Team Lampre Merida
Professional cycling Team Uci World Tour
61,477
Followers
157
Following
14,099
Tweets
25.4
Avg Engagement
1,261
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @lampre_merida'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:2011-03-16
- Verification:No
- Location:Milan
Data Summary
- Tweets Analyzed:3,196
- Avg Likes per Tweet:7.5
- Avg Retweets per Tweet:17.9
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,196 tweetsThe account maintains a steady level of engagement with average likes and retweets, indicating a consistent but not overwhelming level of interaction. The content is primarily focused on race outcomes and rider achievements.
7.5
Avg Likes/Tweet
17.9
Avg Retweets/Tweet
23,962
Total Likes
57,195
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
4
Median Retweets
20
75th Percentile
2,940
Top Tweet
0.41
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
39.4%
Original
9.8%
Replies
50.8%
Retweets
0.0%
Quotes
0.0%
Threads
1.3%
With Media
81.0%
With Links
54.5%
With #Tags
88.1%
With @Mentions
18.7%
With Emojis
111
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.25
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
66.2%
Weekday Posts
33.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,196 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 1,624 retweets (51% 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 3,196 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 10,000 followersThe primary audience includes cycling enthusiasts, fans of the team's riders, and followers of major races like the Tour de France. The content is likely of interest to sports fans and those following professional cycling events.
Average
Audience Quality
27.5%
Suspicion Index
32.8%
Low-Quality %
34
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
48.3%
Empty Bio
27.3%
<10 Tweets
15.2%
Mass Following (>2K)
0.0%
New (<90 days)
57.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
84.1%
No URL
17.4%
<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.
4,481,167
Total Potential Reach
34
Median Follower Reach
161
75th Percentile Reach
4.1%
>1K followers
0.5%
>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).
47.4%
Creators
4,743 accounts
25.2%
Consumers
2,525 accounts
27.3%
Dormant
2,732 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):
16
Verified Followers
0.16% of total
993
Protected Accounts
9.93% of total
8 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 |
|---|---|---|---|
| @estecharu | 297,544 | Cyclist | Cycling, Team EF, EasyPost |
| @GobDigitalCO | 268,222 | Government Official | Government, Digital Services, Technology |
| @DavidHarrisNY | 248,866 | CEO | Jewish advocacy, diplomacy, global affairs |
| @TamauPogi | 195,224 | Cyclist | Cycling, Racing, Slovenia |
| @elmundomedellin | 175,750 | News outlet | News, Education, Medellín |
| @leearenberg | 109,361 | Actor | Actor, #RaiderNation, Brand Ambassador |
| @alawani | 99,910 | Writer | UAE, Heart, Contentment |
| @hayatinicindeki | 99,727 | Unknown | - |
| @PatriaColectivo | 82,765 | Activist | Digital activism, Sovereignty, Collective empowerment |
| @jotasmantilla | 79,546 | Musician | Jesucristo, Bendecido, Rey |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,174
Followers With Bio
4,826
Followers Without Bio
51.74%
% With Bio
48.26%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,196 analyzed8,311
Combined Engagement
672
Total Likes
7,639
Total Retweets
1,662
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @LeTour: 💛 💛 Voici le parcours officiel du @LeTour 2017 / Here is the #TDF2017 official route 💛 💛 #TDF2017 https://t.co/IiwE9zcBUc
RT @YukiyaArashiro: 応援して頂いている皆様へ https://t.co/bUbXiAjiOb
Official statement about @lampre_merida 's selection for @LeTour 2016 https://t.co/fFUTR1OII7 https://t.co/7QQw6T2tpl
RT @YukiyaArashiro: たくさんの応援メッセージありがとうございます！ いよいよです、いってきます🇯🇵 #Rio2016 #がんばれニッポン https://t.co/EQOFtgnkkE
RT @YukiyaArashiro: ツアーオブジャパン開幕です！ ゼッケイ「1」頂きました。 たくさん方々の助けて貰い今日からレース復帰です！ 応援宜しくお願いします！ #toj2016 https://t.co/77zGnfXivV
Key Insights & Takeaways
The account frequently shares official statements and race results, highlighting key moments and achievements. It emphasizes the success of individual riders, such as Yukiya Arashiro, to showcase team performance. The use of hashtags and links to race details suggests a focus on real-time updates and event promotion.
Strengths
- + Established follower base of 61,477
- + 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 @lampre_merida reveals an growing Twitter presence with 61,477 followers. The account demonstrates a content-creator strategy, averaging 25.4 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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