Blair Davenport
WWE NXT
82,094
Followers
646
Following
763
Tweets
478.3
Avg Engagement
390
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @BDavenportWWE'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: Mid-Tier (10K+)
- Account Age:2010-11-27
- Verification:No
- Location:London, England
Data Summary
- Tweets Analyzed:284
- Avg Likes per Tweet:244.9
- Avg Retweets per Tweet:233.4
- Followers Analyzed:10,000
Engagement Analysis
Based on 284 tweetsThe account has a high average engagement rate with 3,786 likes and 172 retweets per tweet, indicating strong audience interaction.
244.9
Avg Likes/Tweet
233.4
Avg Retweets/Tweet
69,559
Total Likes
66,277
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
25
Median Retweets
214
75th Percentile
37,583
Top Tweet
5.83
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
11.3%
Original
16.5%
Replies
59.2%
Retweets
13.0%
Quotes
0.0%
Threads
0.4%
With Media
77.1%
With Links
53.5%
With #Tags
79.6%
With @Mentions
47.5%
With Emojis
104
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.47
Reply/Original Ratio
0.22
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
80.6%
Weekday Posts
19.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 284 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 168 retweets (59% 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 284 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 followersThe audience likely includes WWE fans, particularly those interested in NXT, and younger demographics due to the account's tone and content.
Average
Audience Quality
26.2%
Suspicion Index
28.6%
Low-Quality %
60
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
42.1%
Empty Bio
23.2%
<10 Tweets
19.0%
Mass Following (>2K)
0.0%
New (<90 days)
55.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.5%
No URL
15.2%
<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.
8,415,721
Total Potential Reach
60
Median Follower Reach
181
75th Percentile Reach
4.6%
>1K followers
0.5%
>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).
56.4%
Creators
5,642 accounts
20.3%
Consumers
2,034 accounts
23.2%
Dormant
2,324 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):
83
Verified Followers
0.83% of total
1,007
Protected Accounts
10.07% of total
4 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 |
|---|---|---|---|
| @WWENXT | 1,675,366 | Wrestler | WWE, NXT, Wrestling |
| @SlimJim | 514,901 | Snack Influencer | meat, long boi, champions |
| @WWENikkiCross | 501,322 | Wrestler | WWE, Superstar, Scotland |
| @WWEIndia | 417,304 | Wrestling | WWE, India, Wrestling |
| @zammit_marc | 385,764 | Filmmaker | Film, Acting, Producing |
| @davidmweissman | 348,576 | - | - |
| @WWEArmstrong | 295,672 | Producer | Wrestling, Producing, Beach |
| @USANetwork | 274,144 | Entertainment | WWE, Barmageddon, Chucky |
| @BrunoSigwela | 119,122 | Talk Show Host | Talk, King, Mind |
| @DijakWWE | 115,383 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,788
Followers With Bio
4,212
Followers Without Bio
57.88%
% With Bio
42.12%
% 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 284 analyzed58,034
Combined Engagement
19,665
Total Likes
38,369
Total Retweets
11,607
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
RT @AMAZlNGNATURE: I can't stop watching this 😂 https://t.co/xJ5rcw44t8
Last leg day of the year! 🍑🤪 Hope everyone has a safe and happy New Years 🥰 https://t.co/BHUnVtgQEz
🔝🔝🔝 #NXTUK #WWE https://t.co/TW8o0EcpAK
A vibe 🔝 🖤 https://t.co/H2eAR4my4C
Whoops 😬 BRB 👌 https://t.co/l6uAHwj5no
Key Insights & Takeaways
The account uses emojis and hashtags to create a fun and engaging tone. It frequently shares content related to WWE NXT events and promotions. The use of trending topics and hashtags like #NXTUK helps increase visibility and reach.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 82,094
- + 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 @BDavenportWWE reveals an well-established Twitter presence with 82,094 followers. The account demonstrates a conversation-first approach, averaging 478.3 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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