Melissa McBride
I play Carol on AMC's The Walking Dead.
843,160
Followers
6,041
Following
2,807
Tweets
882.7
Avg Engagement
2,392
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @mcbridemelissa'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:2011-07-02
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:2,795
- Avg Likes per Tweet:690.4
- Avg Retweets per Tweet:192.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 2,795 tweetsMelissa's tweets typically receive a high number of likes and retweets, indicating strong audience interaction. Her posts often include links to fan events and personal messages, which drive engagement.
690.4
Avg Likes/Tweet
192.4
Avg Retweets/Tweet
1,929,563
Total Likes
537,721
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
42
Median Likes
19
Median Retweets
479
75th Percentile
42,285
Top Tweet
1.05
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
33.1%
Original
52.7%
Replies
11.3%
Retweets
3.0%
Quotes
0.0%
Threads
1.1%
With Media
36.6%
With Links
46.2%
With #Tags
73.7%
With @Mentions
7.4%
With Emojis
90
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.59
Reply/Original Ratio
0.27
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.9%
Weekday Posts
29.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,795 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 315 retweets (11% 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 2,795 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 followersHer audience primarily consists of fans of The Walking Dead and other TV shows, as well as general entertainment enthusiasts. The audience is highly engaged, showing interest in her personal updates and show-related content.
Average
Audience Quality
24.5%
Suspicion Index
28.4%
Low-Quality %
15
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
37.1%
Empty Bio
29.2%
<10 Tweets
6.8%
Mass Following (>2K)
0.0%
New (<90 days)
58.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.4%
No URL
19.8%
<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.
31,008,825
Total Potential Reach
15
Median Follower Reach
85
75th Percentile Reach
3.9%
>1K followers
0.3%
>10K followers
0.1%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
49.6%
Creators
24,804 accounts
21.1%
Consumers
10,575 accounts
29.2%
Dormant
14,621 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):
309
Verified Followers
0.31% of total
13,770
Protected Accounts
13.77% 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 | 14,105,422 | Wrestler | Wrestling, Motivation, Self-promotion |
| @pattonoswalt | 4,673,052 | Comedian | comedy, acting, podcasting |
| @strombo | 843,419 | Broadcaster | Music, Motorcycles, Pho |
| @NOH8Campaign | 801,964 | Activism | equality, bullying, discrimination |
| @glennkirschner2 | 717,678 | Legal Analyst | Law, Justice, Politics |
| @shortyawards | 548,054 | Awards | social media, awards, community |
| @Reflog_18 | 537,332 | - | - |
| @DebnamCarey | 502,484 | Actress | Actress, Australian, Instagram |
| @JohnBarrowman | 486,345 | Actor | - |
| @reportersalles | 479,865 | Journalist | Conservadora, armamentista, antifeminista |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
62,829
Followers With Bio
37,171
Followers Without Bio
62.83%
% With Bio
37.17%
% 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 2,795 analyzed142,505
Combined Engagement
117,066
Total Likes
25,439
Total Retweets
28,501
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
#TWD100 Many many thanks! It’s started. https://t.co/C3pcgBK9eS
❤️ https://t.co/QuozgnF64u
Hiya!! ❤️ #SDCC2017 #TWDFamily https://t.co/spPukgR27W
#SDCC2017 #TWDFamily https://t.co/YcbDjysMgo
I'm certain I've never felt such a mix of surreal and real at the same time #TheWalkingDead #Carl #RickGrimes #ChandlerRiggs #AndyLincoln oh, the heart. #Beautiful and #Heartbreaking https://t.co/tKij4PpwxI
Key Insights & Takeaways
She frequently interacts with fans through personal messages and event promotions Her content is heavily focused on her role in The Walking Dead and fan engagement She uses Twitter to share gratitude and connect with her fanbase
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 843,160
- + 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 @mcbridemelissa reveals an well-established Twitter presence with 843,160 followers. The account demonstrates a conversation-first approach, averaging 882.7 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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