HollywoodLife
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343,788
Followers
4,157
Following
249,665
Tweets
7.3
Avg Engagement
1,864
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @HollywoodLife'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:New York City & Los Angeles
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:6.2
- Avg Retweets per Tweet:1.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,249 tweetsThe account has a steady engagement rate, with tweets receiving an average of 593 likes and 65 retweets. The engagement appears to be consistent across various types of content.
6.2
Avg Likes/Tweet
1.2
Avg Retweets/Tweet
20,098
Total Likes
3,771
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
0
Median Retweets
6
75th Percentile
3,458
Top Tweet
0.02
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
100.0%
Original
0.0%
Replies
0.0%
Retweets
0.0%
Quotes
0.0%
Threads
6.8%
With Media
100.0%
With Links
30.5%
With #Tags
1.8%
With @Mentions
0.2%
With Emojis
133
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.0
Reply/Original Ratio
0
Quote/RT Ratio
Posting Rhythm
Consistent
Regular posting cadence
83.2%
Weekday Posts
16.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,249 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.
Posting Patterns & Optimal Timing
Based on 3,249 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 likely fans of celebrity news and entertainment, interested in real-time updates and highlights. They are likely active on social media and follow popular culture trends.
Average
Audience Quality
34.4%
Suspicion Index
41.7%
Low-Quality %
9
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
47.9%
Empty Bio
47.4%
<10 Tweets
12.1%
Mass Following (>2K)
0.0%
New (<90 days)
72.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.1%
No URL
35.5%
<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.
75,987,468
Total Potential Reach
9
Median Follower Reach
61
75th Percentile Reach
3.4%
>1K followers
0.6%
>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).
32.1%
Creators
16,026 accounts
20.6%
Consumers
10,291 accounts
47.4%
Dormant
23,683 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):
891
Verified Followers
0.89% of total
11,104
Protected Accounts
11.1% of total
5 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 |
|---|---|---|---|
| @agnezmo | 17,789,915 | Singer | Music, Dreaming, Empowerment |
| @ParisHilton | 16,826,557 | Entrepreneur | business, updates, media |
| @JohnCena | 14,103,368 | Wrestler | Wrestling, Motivation, Self-promotion |
| @shanedawson | 8,203,708 | YouTuber | Merchandise, YouTube, Comedy |
| @GordonRamsay | 7,697,536 | Chef | Cooking, Food, Restaurants |
| @waleedalfarraj | 7,419,367 | TV Host | sports, media, entertainment |
| @CodySimpson | 6,669,206 | Singer | Music, Surfing, Environmentalism |
| @BTS_ARMY | 5,484,316 | Fanbase | K-pop, Fanbase, BTS |
| @rodrigovesgo | 5,435,401 | - | - |
| @Nickelodeon | 3,889,122 | Entertainment | TV shows, streaming, entertainment |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
51,900
Followers With Bio
48,100
Followers Without Bio
51.9%
% With Bio
48.1%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,249 analyzed5,694
Combined Engagement
5,166
Total Likes
528
Total Retweets
1,139
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
Rihanna's #SuperBowl halftime show was the definition of ICONIC https://t.co/e2Le2YwIrG https://t.co/IKvfFZxvSp
Kurt Russell & Goldie Hawn looked so cute strolling arm-in-arm on Valentine's Day https://t.co/6oGiU25aVN https://t.co/XOxC9W84Tw
Happy 46th birthday to Shakira! https://t.co/ctNvY8Lfg4 https://t.co/YVs7eVBpcY
#TheChallenge38 winners Tori Deal and @MTVDevinWalker dish on their decision to share the money and share what we didn't see during that final challenge. Exclusive Interview: https://t.co/s2eaLv5p4S https://t.co/ognZhiy63N
Hailee Steinfeld sizzled in a shimmering see-through dress at the Vanity Fair #Oscars party https://t.co/O8QR2DXIay https://t.co/PQbxCoD54d
Key Insights & Takeaways
The account focuses on high-profile celebrity events and milestones, which likely drive engagement. Content often includes links to Instagram and a newsletter, suggesting a multi-platform strategy. Top tweets highlight iconic moments and personal celebrity updates, which resonate well with the audience.
Strengths
- + Established follower base of 343,788
- + 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 @HollywoodLife reveals an growing Twitter presence with 343,788 followers. The account demonstrates a content-creator strategy, averaging 7.3 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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