SAG Awards®
Join us in celebrating the best performances in film & television ✨ #sagawards
530,284
Followers
1,125
Following
7,442
Tweets
843.2
Avg Engagement
1,878
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @SAGawards'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:2008-09-09
- Verification:No
- Location:Los Angeles, CA, USA
Data Summary
- Tweets Analyzed:3,231
- Avg Likes per Tweet:635.9
- Avg Retweets per Tweet:207.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,231 tweetsThe account sees an average of 48,907 likes and 11,718 retweets per tweet, indicating strong audience interaction. Verified accounts make up 1.4% of its followers, suggesting a mix of industry professionals and fans.
635.9
Avg Likes/Tweet
207.3
Avg Retweets/Tweet
2,054,532
Total Likes
669,881
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
36
Median Likes
18
Median Retweets
341
75th Percentile
158,796
Top Tweet
1.59
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
54.2%
Original
20.0%
Replies
21.8%
Retweets
4.0%
Quotes
0.0%
Threads
0.9%
With Media
69.2%
With Links
73.6%
With #Tags
72.4%
With @Mentions
43.1%
With Emojis
115
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.37
Reply/Original Ratio
0.18
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
82.4%
Weekday Posts
17.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,231 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 704 retweets (22% 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 3,231 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 is primarily interested in film and television awards, with a strong focus on actors and their performances. They are likely fans of popular shows and actors.
Average
Audience Quality
26.8%
Suspicion Index
28.5%
Low-Quality %
34
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
36.3%
Empty Bio
29.2%
<10 Tweets
15.4%
Mass Following (>2K)
0.0%
New (<90 days)
59.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
83.6%
No URL
20.7%
<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.
90,289,165
Total Potential Reach
34
Median Follower Reach
178
75th Percentile Reach
6.5%
>1K followers
1.0%
>10K followers
0.3%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
52.8%
Creators
26,417 accounts
17.9%
Consumers
8,964 accounts
29.2%
Dormant
14,619 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):
1,431
Verified Followers
1.42% of total
13,966
Protected Accounts
13.83% 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 | 14,105,276 | Wrestler | Wrestling, Motivation, Self-promotion |
| @EugenioDerbez | 11,573,465 | Actor | Tik Tok, Comedy, Entertainment |
| @lindsaylohan | 8,132,602 | Actress | Actress, Artist |
| @Cinemex | 6,832,375 | Cinema | movies, entertainment, cinema |
| @BuzzFeed | 6,185,221 | Media | Quizzes, Buzzfeed, Data |
| @MsLeaSalonga | 5,629,785 | - | - |
| @Stranger_Things | 5,252,165 | TV Show | Sci-fi, Mystery, Adventure |
| @VanityFair | 4,753,425 | Magazine | Fashion, culture, entertainment |
| @UniversalPics | 4,746,959 | Film Studio | Movies, Entertainment, Lifestyle |
| @OmarSy | 3,356,048 | Actor | Movies, Acting, Producing |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
67,626
Followers With Bio
33,373
Followers Without Bio
66.96%
% With Bio
33.04%
% 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 3,231 analyzed382,244
Combined Engagement
315,924
Total Likes
66,320
Total Retweets
76,449
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
100%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
Jung Ho-Yeon receives her first-ever Actor® for Outstanding Performance by a Female Actor in a Drama Series for her role in #SquidGame #sagawards https://t.co/PJAHCavDni
Not over this moment #sagawards https://t.co/ajNbkzyxn7
Lee Jung-Jae enjoying his moment 🤗 #sagawards https://t.co/OMFAoICHQf
His reaction says it all ♥️ Lee Jung-Jae takes home the Actor® for Outstanding Performance by a Male Actor in a Drama Series! #sagawards https://t.co/efqompdngz
Jung Ho-Yeon receives her first-ever Actor® 🤩 #sagawards https://t.co/3hOIoJnkJR
Key Insights & Takeaways
The account often shares award-winning moments that generate high engagement It highlights both female and male actors, showing a balanced focus It uses trending hashtags and links to increase visibility and interaction
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 530,284
- + 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 @SAGawards reveals an well-established Twitter presence with 530,284 followers. The account demonstrates a content-creator strategy, averaging 843.2 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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