Falling Skies
From executive producer Steven Spielberg about the aftermath of an alien invasion and the survivor resistance. Watch the final season Sundays at 10/9c on TNT.
55,491
Followers
11,306
Following
3,758
Tweets
42.3
Avg Engagement
716
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @FallingSkiesTNT'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:2011-03-15
- Verification:Yes
- Location:TNT
Data Summary
- Tweets Analyzed:3,169
- Avg Likes per Tweet:18.1
- Avg Retweets per Tweet:24.2
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,169 tweetsThe account has a high average number of likes and retweets, indicating strong audience interaction. The use of hashtags and links suggests a strategic approach to promote the show.
18.1
Avg Likes/Tweet
24.2
Avg Retweets/Tweet
57,312
Total Likes
76,763
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
10
Median Retweets
50
75th Percentile
1,139
Top Tweet
0.76
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
46.6%
Original
17.6%
Replies
35.8%
Retweets
0.0%
Quotes
0.0%
Threads
0.7%
With Media
60.0%
With Links
77.1%
With #Tags
72.9%
With @Mentions
0.6%
With Emojis
113
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.38
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
84.5%
Weekday Posts
15.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,169 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 1,134 retweets (36% 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 3,169 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 fans of science fiction and post-apocalyptic themes, interested in the final season of the show. They are likely to be regular viewers of TNT and interested in the series' conclusion.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
49
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
84.4%
No URL
100.0%
<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.
10,584,354
Total Potential Reach
49
Median Follower Reach
181
75th Percentile Reach
5.1%
>1K followers
0.6%
>10K followers
0.3%
>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).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
1,279
Protected Accounts
12.79% 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 |
|---|---|---|---|
| @6BillionPeople | 2,010,824 | - | - |
| @soledadobrien | 1,313,335 | Journalist | working, mom, journalist |
| @ericschiffer | 695,346 | CEO | business, media, author |
| @1LA_Lady | 404,198 | Influencer | JonathanZadok, JulezPooh, Stallion_Team |
| @Daminous_Purity | 351,154 | Minister | WWE, NFL, FIFA |
| @Godly_is_Good | 317,601 | - | - |
| @holyfield | 294,302 | Boxer | Olympic, Entrepreneurship, Boxing |
| @panachetalent | 236,824 | - | - |
| @MarshaCollier | 231,086 | Author | Social Media, eBay, Customer Service |
| @HalfordisMe | 176,998 | Musician | Music, Metal, Coma |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,828
Followers With Bio
4,172
Followers Without Bio
58.28%
% With Bio
41.72%
% 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 3,169 analyzed4,650
Combined Engagement
1,592
Total Likes
3,058
Total Retweets
930
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
100%
With Hashtags
40%
With @Mentions
100%
With Links
Topical Analysis:
Don't miss the season finale of #FallingSkies TONIGHT at 10/9c on @tntweknowdrama. RT if you'll be joining us! http://t.co/xQN5b8lReN
It’s a new breed of warfare. RT if you'll be watching the premiere of #FallingSkies TONIGHT at 10/9c on @tntdrama. http://t.co/nUzrym06Vq
Never ask what if. And never look back. #FallingSkies returns Sunday, June 9 at 9/8c with a special 2-hour premiere! http://t.co/x1GAXbeZoJ
RT if your watching #FallingSkies NOW! http://t.co/Lzw7VV878p
Because we have discovered we are not alone. #FallingSkies #TheFinalBattle http://t.co/tMWpOdTPZv
Key Insights & Takeaways
The account emphasizes the final season and finale, which is a key driver for viewer retention and excitement. It uses time-sensitive calls to action, such as promoting the premiere and finale dates. The tweets are designed to build anticipation and encourage retweets for wider reach.
Strengths
- + Established follower base of 55,491
- + 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 @FallingSkiesTNT reveals an growing Twitter presence with 55,491 followers. The account demonstrates a content-creator strategy, averaging 42.3 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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