STARZ
Bold storytelling. Hit movies. Fresh perspectives.
241.243
Followers
456
Following
22.156
Tweets
118,0
Avg Engagement
1.657
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @STARZ'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:2009-02-18
- Verification:Yes
- Location:Not specified
Data Summary
- Tweets Analyzed:3.243
- Avg Likes per Tweet:41,8
- Avg Retweets per Tweet:76,3
- Followers Analyzed:50.000
Engagement Analysis
Based on 3.243 tweetsSTARZ's tweets typically receive a high number of likes and retweets, indicating strong audience interaction. Their content is well-received and often goes viral, especially with trending hashtags.
41,8
Avg Likes/Tweet
76,3
Avg Retweets/Tweet
135.465
Total Likes
247.314
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
2
Median Retweets
41
75th Percentile
41.008
Top Tweet
0,49
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
16,4%
Original
48,8%
Replies
30,6%
Retweets
4,2%
Quotes
0,0%
Threads
0,3%
With Media
46,1%
With Links
40,2%
With #Tags
78,8%
With @Mentions
31,8%
With Emojis
84
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2,98
Reply/Original Ratio
0,14
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
84,4%
Weekday Posts
15,6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3.243 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 993 retweets (31% 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 3.243 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 followersTheir audience likely includes fans of TV dramas and movies, with a particular interest in shows like Outlander. They also attract viewers looking for bold and unique storytelling.
Average
Audience Quality
25,4%
Suspicion Index
27,3%
Low-Quality %
38
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
37,8%
Empty Bio
25,7%
<10 Tweets
15,1%
Mass Following (>2K)
0,0%
New (<90 days)
55,9%
Low Ratio (<0.1)
0,0%
New (<180 days)
87,8%
No URL
16,8%
<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.
49.676.776
Total Potential Reach
38
Median Follower Reach
172
75th Percentile Reach
5,9%
>1K followers
0,7%
>10K followers
0,2%
>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).
52,7%
Creators
26.368 accounts
21,6%
Consumers
10.785 accounts
25,7%
Dormant
12.847 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):
613
Verified Followers
0.61% of total
13.416
Protected Accounts
13.29% of total
6 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 | 14.100.490 | Wrestler | Wrestling, Motivation, Self-promotion |
| @TwitterTV | 9.044.764 | - | - |
| @IMDb | 4.593.640 | Entertainment | movies, TV, celebrities |
| @ava | 2.626.695 | - | - |
| @KameronBennett | 1.815.986 | DJ | Music, DJing, Booking |
| @AvanJogia | 1.583.444 | Actor | acting, activism, writing |
| @BreakingBad | 1.475.344 | TV Show | TV shows, crime, drama |
| @omarepps | 1.474.214 | Actor | Art, Entrepreneurship, Fatherhood |
| @ChristinaMilian | 1.433.151 | Singer | Jewelry, Beignets, Bots |
| @PopCrave | 1.378.947 | Entertainment | Music, Entertainment, Celebrities |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
64.176
Followers With Bio
36.801
Followers Without Bio
63.56%
% With Bio
36.44%
% 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 3.243 analyzed85.756
Combined Engagement
9.027
Total Likes
76.729
Total Retweets
17.151
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
80%
With @Mentions
100%
With Links
Topical Analysis:
RT @NFL: THAT. WAS. INCREDIBLE. Dre. Snoop. Mary. Eminem. Kendrick. 50 Cent. What a show. #PepsiHalftime https://t.co/FKz8YKhhAt
RT @TakeNoDaysOff24: Mary J yelling at Kyrie to step it up courtside like she talking to Cane on Power https://t.co/S7eN6MXPTX
we had to do it, y'all. #PowerGhost https://t.co/bapYv1vCif
RT @ghoststarz: Get ready, we levelin’ up for season 3. #PowerGhost returns Friday March 17th on @Starz. https://t.co/ZHCzFJmLPo
RT @ForceStarz: It’s Tommy’s turn. #PowerForce premieres February 6 on @Starz. https://t.co/boNWgkBZHE
Key Insights & Takeaways
STARZ leverages trending topics and popular culture to boost engagement. Their content often includes show-related updates and promotional material. They use hashtags effectively to increase visibility and reach a wider audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 241.243
- + 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 @STARZ reveals an well-established Twitter presence with 241.243 followers. The account demonstrates a conversation-first approach, averaging 118,0 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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