Groupama Stadium
84,545
Followers
2,135
Following
6,205
Tweets
95.7
Avg Engagement
195
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @GroupamaStadium'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:2014-05-15
- Verification:No
- Location:Lyon - Décines
Data Summary
- Tweets Analyzed:3,224
- Avg Likes per Tweet:52.7
- Avg Retweets per Tweet:43.0
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,224 tweetsThe account has a moderate engagement rate with an average of 2,530 likes and 748 retweets per tweet, indicating a dedicated but not extremely active fan base.
52.7
Avg Likes/Tweet
43.0
Avg Retweets/Tweet
169,869
Total Likes
138,518
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
9
Median Likes
9
Median Retweets
70
75th Percentile
5,961
Top Tweet
1.13
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
54.8%
Original
8.0%
Replies
35.0%
Retweets
2.2%
Quotes
0.0%
Threads
1.3%
With Media
94.8%
With Links
53.8%
With #Tags
64.8%
With @Mentions
56.7%
With Emojis
150
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.15
Reply/Original Ratio
0.06
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
81.3%
Weekday Posts
18.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,224 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 1,129 retweets (35% 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 3,224 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 audience is likely football fans, especially supporters of the team associated with Groupama Stadium, and interested in Champions League and other major matches.
Average
Audience Quality
32.9%
Suspicion Index
42.2%
Low-Quality %
8
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
51.5%
Empty Bio
45.4%
<10 Tweets
7.3%
Mass Following (>2K)
0.0%
New (<90 days)
70.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.3%
No URL
32.8%
<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.
6,740,365
Total Potential Reach
8
Median Follower Reach
50
75th Percentile Reach
2.0%
>1K followers
0.2%
>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).
34.4%
Creators
3,439 accounts
20.2%
Consumers
2,022 accounts
45.4%
Dormant
4,539 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):
14
Verified Followers
0.14% of total
636
Protected Accounts
6.36% 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 |
|---|---|---|---|
| @Sopranopsy4 | 2,813,267 | Singer | music, stars, multiverse |
| @Ligue1_ENG | 1,097,214 | Sports Media | Football, French league, Champions Trophy |
| @indochinetwitt | 657,401 | Musician | Music, Touring, Festival |
| @nicolasirkis | 310,100 | Musician | Music, Art, Fashion |
| @UNICEF_france | 188,801 | Humanitarian | Enfants, droits, humanitaire |
| @fnacspectacles | 144,383 | Ticketing | concerts, festivals, humour |
| @NandoDeColo | 136,511 | Basketball Player | Basketball, France, Adidas |
| @ClemJTF | 132,823 | Medical Student | Medicine, Lyon, TeamOL |
| @GoalFrance | 97,618 | Sports journalist | Football, Champions League, Transfer Market |
| @carmenmirandamx | 29,055 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,847
Followers With Bio
5,153
Followers Without Bio
48.47%
% With Bio
51.53%
% 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 3,224 analyzed26,121
Combined Engagement
12,424
Total Likes
13,697
Total Retweets
5,224
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
🔥🇧🇷 @jeanlucas_08 https://t.co/7VbqV8RxhI
RT @gerardcollomb: Paul Bocuse est mort, la Gastronomie est en deuil. Monsieur Paul, c’était la France. Simplicité & générosité. Excellence & art de vivre. Le pape des gastronomes nous quitte. Puissent nos chefs, à Lyon, comme aux quatre coins du monde, longtemps cultiver
Nous aussi on fête la qualif’ en demi-finale de @ChampionsLeague ! 😍 Bravo les gars ! 🔴🔵 https://t.co/kFPhmp05rY
On fête la victoire aussi dans votre OL Store @GroupamaStadium !! #AsseOL https://t.co/zpy6HlQJMJ
RT @FFRugby: 🔴 La France organisera la Coupe du Monde de rugby en 2023 !!! #France2023 https://t.co/ZMLbe2GVai
Key Insights & Takeaways
The account frequently shares celebratory content around key matches and events, which helps to maintain fan enthusiasm. It leverages hashtags and mentions to increase visibility and engagement. The use of links to official store pages suggests a focus on driving traffic and sales through social media.
Strengths
- + Established follower base of 84,545
- + 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 @GroupamaStadium reveals an growing Twitter presence with 84,545 followers. The account demonstrates a content-creator strategy, averaging 95.7 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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