446,103
Followers
157
Following
12,224
Tweets
1,204.9
Avg Engagement
1,119
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @lindenashby'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:2009-08-22
- Verification:No
- Location:Uhm, here?
Data Summary
- Tweets Analyzed:3,193
- Avg Likes per Tweet:426.1
- Avg Retweets per Tweet:778.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,193 tweetsTheir tweets receive a high number of likes and retweets, indicating a loyal and active audience. The engagement suggests a strong connection with their followers.
426.1
Avg Likes/Tweet
778.8
Avg Retweets/Tweet
1,360,678
Total Likes
2,486,611
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
96
Median Likes
8
Median Retweets
560
75th Percentile
680,335
Top Tweet
2.7
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
44.2%
Original
49.1%
Replies
4.7%
Retweets
2.0%
Quotes
0.0%
Threads
1.2%
With Media
26.6%
With Links
7.7%
With #Tags
63.1%
With @Mentions
2.4%
With Emojis
96
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.11
Reply/Original Ratio
0.42
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.7%
Weekday Posts
26.3%
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 3,193 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 150 retweets (5% 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 3,193 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 appears to be fans of TV shows, particularly teen-oriented and fantasy genres. They are likely young adults interested in entertainment and media.
Below Average
Audience Quality
36.0%
Suspicion Index
46.1%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
46.2%
Empty Bio
59.2%
<10 Tweets
2.7%
Mass Following (>2K)
0.0%
New (<90 days)
79.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.9%
No URL
46.0%
<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.
19,394,391
Total Potential Reach
2
Median Follower Reach
13
75th Percentile Reach
1.4%
>1K followers
0.1%
>10K followers
0.0%
>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).
22.2%
Creators
11,104 accounts
18.6%
Consumers
9,313 accounts
59.2%
Dormant
29,583 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):
70
Verified Followers
0.07% of total
9,993
Protected Accounts
9.89% 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 |
|---|---|---|---|
| @JohnCena | 14,104,461 | Wrestler | Wrestling, Motivation, Self-promotion |
| @OccupyDemocrats | 538,985 | Political Activist | Progressive, Grassroots, Politics |
| @paramountplus | 361,009 | Streaming | Live Sports, Breaking News, Entertainment |
| @KimMangone | 251,829 | Engineer | Single Mom, USAF Vet, Engineer |
| @dbwofficial | 251,302 | - | - |
| @darcydonavan | 240,451 | Actress | Acting, Music, Producing |
| @FliirtNextDoor | 148,097 | Adult Content Creator | BBW, DreadHead, Kissin |
| @Chicago_History | 120,517 | Historian | Chicago, History, Beer |
| @Landrauhl | 84,206 | Fanboy | Marvel, Fanboy, Kosovo-Albania |
| @marvels911s | 75,545 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
55,771
Followers With Bio
45,228
Followers Without Bio
55.22%
% With Bio
44.78%
% 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 3,193 analyzed1,392,031
Combined Engagement
0
Total Likes
1,392,031
Total Retweets
278,406
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @AHMalcolm: For every retweet this gets, Pedigree will donate one bowl of dog food to dogs in need! 😊 #tweetforbowls http://t.co/z4rmc2H…
RT @alyssawata: god my humor is trash https://t.co/qYAfN17xOX
RT @jk_rowling: Hell of a day for the President to forget how to tweet. https://t.co/ABffmwwH8D
RT @MichaelSkolnik: One shoe bomber tried to blow up a plane and now we are forced to take off our shoes. 1606 mass shootings since Sandy…
RT @RepCori: I believe the Republican members of Congress who have incited this domestic terror attack through their attempts to overturn t…
Key Insights & Takeaways
They often express gratitude and nostalgia, indicating a personal and emotional connection with their audience. Their content frequently references TV shows and media, suggesting a passion for entertainment. They engage with their followers through personal stories and reflections, fostering a sense of community.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 446,103
- + 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 @lindenashby reveals an exceptionally influential Twitter presence with 446,103 followers. The account demonstrates a conversation-first approach, averaging 1,204.9 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.
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