Lise Klaveness
Mother. President Norwegian Football Federation. Retweets=FYI (not necessarily endorsement). #TheBeautifulGameIncludesAllPeople
15,657
Followers
1,228
Following
7,380
Tweets
544.3
Avg Engagement
60
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Lisekla'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:2010-01-28
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:599
- Avg Likes per Tweet:32.3
- Avg Retweets per Tweet:512.0
- Followers Analyzed:15,410
Engagement Analysis
Based on 599 tweetsLisekla's tweets typically receive an average of 670 likes and 59 retweets, indicating a moderate level of engagement. Her verified status and active retweeting contribute to her influence in the sports community.
32.3
Avg Likes/Tweet
512.0
Avg Retweets/Tweet
19,357
Total Likes
306,677
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
2
Median Retweets
43
75th Percentile
84,070
Top Tweet
34.76
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
9.8%
Original
14.5%
Replies
43.6%
Retweets
32.1%
Quotes
0.0%
Threads
0.0%
With Media
57.1%
With Links
13.0%
With #Tags
63.6%
With @Mentions
65.6%
With Emojis
100
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.47
Reply/Original Ratio
0.74
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
71.5%
Weekday Posts
28.5%
Weekend Posts
Top Hashtags
Most Mentioned
Want This Report as PDF?
We're building PDF export for these analytics reports. Register your interest to get early access.
Content Strategy Analysis
Based on 599 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 261 retweets (44% 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 599 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 15,410 followersHer audience is primarily interested in sports, gender equality, and political representation. They engage with her tweets on topics like women in leadership and social issues related to football.
Good
Audience Quality
16.6%
Suspicion Index
24.4%
Low-Quality %
113
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
37.2%
Empty Bio
17.0%
<10 Tweets
10.3%
Mass Following (>2K)
0.0%
New (<90 days)
27.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
82.4%
No URL
11.6%
<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.
62,001,622
Total Potential Reach
113
Median Follower Reach
446
75th Percentile Reach
14.7%
>1K followers
2.4%
>10K followers
0.6%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
64.8%
Creators
9,990 accounts
18.2%
Consumers
2,804 accounts
17.0%
Dormant
2,616 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):
235
Verified Followers
1.52% of total
677
Protected Accounts
4.39% of total
10 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 |
|---|---|---|---|
| @Arsenal | 21,506,864 | Sports Team | Football, Club, Official |
| @GNev2 | 5,502,809 | Sports Commentator | Football, Analysis, Motivation |
| @hrw | 5,086,142 | Human Rights | Human Rights, Abuses, Advocacy |
| @UEFA | 2,329,340 | Football | Football, EqualGame, Official |
| @guardian_sport | 906,511 | Sports News | news, comment, video |
| @YayaToure | 902,183 | Footballer | Football, Management, Contact |
| @jensstoltenberg | 819,922 | Politician | Politics, NATO, Security |
| @TVietor08 | 584,367 | Podcaster | Politics, Media, National Security |
| @realflorentm | 489,143 | Footballer | Football, France, Chelsea |
| @OllieHolt22 | 435,659 | Sports Journalist | Sports, Writing, Journalism |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
9,685
Followers With Bio
5,725
Followers Without Bio
62.85%
% With Bio
37.15%
% 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.
Buy Follower Data
Export full follower list with profile details, bios, locations, and follower counts as CSV.
Buy Followers - from $15Buy Tweet Data
Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 599 analyzed250,785
Combined Engagement
0
Total Likes
250,785
Total Retweets
50,157
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
20%
With Links
Topical Analysis:
RT @KShakur2U: It’s wild the things we don’t even realize we don’t have because of racism. I never even thought about the fact I never saw…
RT @AVindman: Pushkin Square, maybe less than 1000 meters from Red Square and the Kremlin, is the cite of a significant protest. These peop…
RT @Brink_Thinker: This dude deserves endless retweets 👍 https://t.co/PXNhaU03B2
RT @vonderleyen: It was important to start my visit in Bucha. Because in Bucha our humanity was shattered. My message to Ukrainian people…
RT @lukamodric10: I grew up during war and I don't wish it on anyone. We must stop this nonsense where innocent people die. We want to live…
Key Insights & Takeaways
She is a strong advocate for women's inclusion in football leadership roles. Her tweets often highlight the lack of female representation in international football politics. She uses her platform to raise awareness about social issues affecting football communities.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 15,657
- + High community engagement through conversations
- + 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 @Lisekla reveals an well-established Twitter presence with 15,657 followers. The account demonstrates a conversation-first approach, averaging 544.3 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.
Need Programmatic Access?
We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.
Register Interest for API Access