Doug Davidson
EMMY winning actor-The Young and the Restless
110,425
Followers
15,283
Following
27,606
Tweets
536.2
Avg Engagement
363
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @DougDavidsonYR'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:2013-03-27
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,187
- Avg Likes per Tweet:62.8
- Avg Retweets per Tweet:473.4
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,187 tweetsWhile his tweets receive a decent number of likes, retweets are relatively low, suggesting a less interactive audience.
62.8
Avg Likes/Tweet
473.4
Avg Retweets/Tweet
200,299
Total Likes
1,508,623
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
7
Median Likes
2
Median Retweets
93
75th Percentile
357,068
Top Tweet
4.86
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
5.9%
Original
21.6%
Replies
26.5%
Retweets
46.0%
Quotes
0.0%
Threads
0.4%
With Media
69.7%
With Links
13.2%
With #Tags
49.0%
With @Mentions
24.8%
With Emojis
93
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
3.66
Reply/Original Ratio
1.74
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.0%
Weekday Posts
31.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,187 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 844 retweets (26% 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 3,187 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 followersHis audience appears to be fans of his acting career and those interested in celebrity news and personal updates.
Average
Audience Quality
27.7%
Suspicion Index
34.8%
Low-Quality %
31
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
51.7%
Empty Bio
29.7%
<10 Tweets
15.3%
Mass Following (>2K)
0.0%
New (<90 days)
53.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.0%
No URL
17.8%
<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.
23,859,125
Total Potential Reach
31
Median Follower Reach
116
75th Percentile Reach
4.7%
>1K followers
0.9%
>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).
43.6%
Creators
4,363 accounts
26.7%
Consumers
2,667 accounts
29.7%
Dormant
2,970 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):
95
Verified Followers
0.95% of total
1,032
Protected Accounts
10.32% 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 |
|---|---|---|---|
| @JohnCena | 14,093,376 | Wrestler | Wrestling, Motivation, Self-promotion |
| @ACTBrigitte | 880,548 | National Security Expert | National Security, Terrorism, Author |
| @NOH8Campaign | 799,039 | Activism | equality, bullying, discrimination |
| @iownjd | 772,009 | Lawyer | learn, inspire, engage |
| @PalmerReport | 516,848 | Political Analyst | - |
| @THE_THEO_FORD | 472,422 | - | - |
| @460k_ | 460,411 | - | - |
| @GuntherEagleman | 293,134 | Retired Law Enforcement | America First, Pro Life, Baseball Fan |
| @robtswthrayguns | 258,090 | Inventor | synthwave, NFT, NSFW |
| @ZeekArkham | 236,122 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,830
Followers With Bio
5,170
Followers Without Bio
48.3%
% With Bio
51.7%
% 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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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,187 analyzed677,142
Combined Engagement
0
Total Likes
677,142
Total Retweets
135,428
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @elonmusk: I hope that even my worst critics remain on Twitter, because that is what free speech means
RT @elonmusk: Also, I’m buying Manchester United ur welcome
RT @Gerashchenko_en: A cat was saved from under the rubble in Turkey. It now refuses to leave its rescuer's side. https://t.co/Nveaxu3QrG
RT @elonmusk: https://t.co/YhpHKcCYXz
RT @johnnystantoniv: I just found out the person killed in the Laguna Woods shooting yesterday was my primary care physician, Dr. John Cheng. Absolute hero. He attacked the gunman and helped save so many in that church. I just wanted his name to be known. He will be missed. https
Key Insights & Takeaways
He often shares personal and emotional messages, indicating a focus on connecting with his fans on a personal level. His tweets include both gratitude and reflections on his career, showing a mix of professional and personal content. He occasionally references other celebrities and public figures, which may help in maintaining relevance and engagement.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 110,425
- + 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 @DougDavidsonYR reveals an well-established Twitter presence with 110,425 followers. The account demonstrates a conversation-first approach, averaging 536.2 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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