David Hasselhoff
𝗦𝗘𝗘 𝗜𝗧, 𝗕𝗘𝗟𝗜𝗘𝗩𝗘 𝗜𝗧, 𝗟I𝗩𝗘 𝗜𝗧 🌎 ғᴏʟʟᴏᴡ #theHoff https://www.cameo.com/davidhasselhoff HOFFICIAL MERCHANDISE: https://hoffshop.com/
443,491
Followers
35,836
Following
8,444
Tweets
182.4
Avg Engagement
3,452
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @DavidHasselhoff'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:2009-02-03
- Verification:No
- Location:Los Angeles, California
Data Summary
- Tweets Analyzed:3,143
- Avg Likes per Tweet:124.1
- Avg Retweets per Tweet:58.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,143 tweetsHis tweets typically receive around 5,464 likes and 1,990 retweets on average, indicating strong audience interaction.
124.1
Avg Likes/Tweet
58.3
Avg Retweets/Tweet
390,034
Total Likes
183,358
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
40
Median Likes
19
Median Retweets
133
75th Percentile
97,123
Top Tweet
0.41
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
66.3%
Original
5.8%
Replies
25.3%
Retweets
2.7%
Quotes
0.0%
Threads
1.8%
With Media
75.7%
With Links
42.1%
With #Tags
58.6%
With @Mentions
7.6%
With Emojis
109
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.09
Reply/Original Ratio
0.11
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.9%
Weekday Posts
28.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,143 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 794 retweets (25% 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 3,143 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 followersHis audience includes fans of his acting career, sports enthusiasts, and followers of his motivational quotes.
Average
Audience Quality
26.5%
Suspicion Index
28.8%
Low-Quality %
44
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
40.8%
Empty Bio
24.3%
<10 Tweets
19.1%
Mass Following (>2K)
0.0%
New (<90 days)
56.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
84.1%
No URL
16.9%
<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.
102,916,972
Total Potential Reach
44
Median Follower Reach
196
75th Percentile Reach
6.7%
>1K followers
1.1%
>10K followers
0.4%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
57.4%
Creators
28,709 accounts
18.3%
Consumers
9,163 accounts
24.3%
Dormant
12,128 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):
1,495
Verified Followers
1.48% of total
12,554
Protected Accounts
12.43% of total
9 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 |
|---|---|---|---|
| @ShawnMendes | 26,426,757 | Singer | music, performing, philanthropy |
| @ZacEfron | 14,881,462 | Actor | movies, fitness, adventure |
| @JohnCena | 14,104,445 | Wrestler | Wrestling, Motivation, Self-promotion |
| @maroon5 | 13,985,907 | Musician | music, band, album |
| @CalvinHarris | 11,736,442 | Musician | Music, DJ, Producer |
| @steveaoki | 8,122,433 | DJ | Music, DJing, Collaboration |
| @FloydMayweather | 7,761,142 | Boxer | boxing, money, lifestyle |
| @belindapop | 6,794,311 | Singer | Music, Beauty, Memories |
| @Lord_Sugar | 5,203,446 | Entrepreneur | business, entrepreneurship, technology |
| @lifeaseva | 4,562,510 | Influencer | sustainability, energy, lifestyle |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
58,884
Followers With Bio
42,115
Followers Without Bio
58.3%
% With Bio
41.7%
% 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 3,143 analyzed149,197
Combined Engagement
98,545
Total Likes
50,652
Total Retweets
29,839
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
60%
With Links
Topical Analysis:
Lil yachty song is hilarious cool...it's now my ring tone! https://t.co/XY1z9on0Nc
RT @lilyachty: Are u happy with life when u log off of here??
Alles Klar, Germany will win, count on it..... the hoff has spoken ✌🏼 https://t.co/LdvT9cgIn1
Congrats to Wales !! What A game!and Ben Woodburn ! Nice goal !!
Living large in Poland with new TV series! https://t.co/TEJWwMPnj2
Key Insights & Takeaways
He leverages his celebrity status to promote merchandise and engage with fans. His content often blends personal updates with sports commentary, appealing to a broad audience. He uses hashtags and links to drive traffic and maintain audience interest.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 443,491
- + 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 @DavidHasselhoff reveals an well-established Twitter presence with 443,491 followers. The account demonstrates a content-creator strategy, averaging 182.4 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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