Dexter Blackstock
CEO of Mediconnect a Blockchain based solution aimed to revolutionise the pharmaceutical industry. @mediconnectuk
61,654
Followers
704
Following
3,715
Tweets
86.7
Avg Engagement
361
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @dexblackstock23'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:2009-07-08
- Verification:No
- Location:London
Data Summary
- Tweets Analyzed:3,152
- Avg Likes per Tweet:12.4
- Avg Retweets per Tweet:74.2
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,152 tweetsDex's tweets receive a high level of engagement, with an average of 962 likes and 805 retweets per post. His content is well-received, indicating a strong connection with his followers.
12.4
Avg Likes/Tweet
74.2
Avg Retweets/Tweet
39,197
Total Likes
234,005
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
1
Median Retweets
14
75th Percentile
58,912
Top Tweet
1.41
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
46.3%
Original
18.2%
Replies
32.4%
Retweets
3.1%
Quotes
0.0%
Threads
0.1%
With Media
24.1%
With Links
30.2%
With #Tags
70.1%
With @Mentions
9.7%
With Emojis
97
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.39
Reply/Original Ratio
0.1
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.9%
Weekday Posts
27.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,152 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 1,020 retweets (32% 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 3,152 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 includes professionals in the pharmaceutical and tech industries, as well as sports fans due to his involvement with Nffc. The audience is also interested in blockchain solutions and community-driven initiatives.
Average
Audience Quality
28.5%
Suspicion Index
38.2%
Low-Quality %
34
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
48.4%
Empty Bio
38.7%
<10 Tweets
16.1%
Mass Following (>2K)
0.0%
New (<90 days)
46.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.3%
No URL
28.0%
<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.
32,481,422
Total Potential Reach
34
Median Follower Reach
246
75th Percentile Reach
9.0%
>1K followers
1.6%
>10K followers
0.6%
>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).
41.9%
Creators
4,189 accounts
19.4%
Consumers
1,945 accounts
38.7%
Dormant
3,866 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):
53
Verified Followers
0.53% of total
721
Protected Accounts
7.21% of total
7 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 | 14,075,057 | Wrestler | Wrestling, Motivation, Self-promotion |
| @6BillionPeople | 2,014,011 | - | - |
| @SinghLions | 1,327,408 | Restaurateur | Food, Travel, Influencer |
| @Swannyg66 | 915,616 | Commentator | Cricket, Commentating, Speaking |
| @ericschiffer | 697,007 | CEO | business, media, author |
| @LayahHeilpern | 613,735 | Author | Bitcoin, Empowerment, Consulting |
| @nickmangwana | 559,671 | Government Official | Politics, Current Affairs, Zimbabwe |
| @FourFourTwo | 508,557 | Football Magazine | Football, Magazine, World |
| @DavidHasselhoff | 447,267 | Actor | SEE IT, BELIEVE IT, LIVE IT |
| @IvanOnTech | 409,573 | Blockchain Developer | Web3, Infrastructure, Serverless Dapps |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,160
Followers With Bio
4,840
Followers Without Bio
51.6%
% With Bio
48.4%
% 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 3,152 analyzed140,291
Combined Engagement
0
Total Likes
140,291
Total Retweets
28,058
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
0%
With Links
Topical Analysis:
RT @IanWright0: Everybody knows what Match of the Day means to me, but I’ve told the BBC I won’t be doing it tomorrow. Solidarity.
RT @drakkardnoir: Live without pretending, Love without depending, Listen without defending, Speak without offending.
RT @drakkardnoir: Seven days without love makes one weak.
RT @Drake: Made statements never gave statements.
RT @GaryLineker: Please. Stop. Lying.
Key Insights & Takeaways
Dex is actively promoting his company's mission and solutions in the pharmaceutical industry. He engages with his audience by sharing personal and community-related content. His use of hashtags and calls to action helps drive interaction and visibility.
Strengths
- + Established follower base of 61,654
- + 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 @dexblackstock23 reveals an growing Twitter presence with 61,654 followers. The account demonstrates a content-creator strategy, averaging 86.7 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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