Paul Dickov
Former Footballer and Manager, Ambassador for @ManCity and Director of Sport for @Uniprofootball - bringing the best of football and education together.
66,865
Followers
1,223
Following
4,683
Tweets
360.7
Avg Engagement
128
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @OfficialPDickov'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:2016-06-13
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,220
- Avg Likes per Tweet:317.3
- Avg Retweets per Tweet:43.4
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,220 tweetsHis tweets receive high average likes and retweets, indicating strong audience interaction. The content is often humorous and controversial, driving engagement.
317.3
Avg Likes/Tweet
43.4
Avg Retweets/Tweet
1,021,798
Total Likes
139,660
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
40
Median Likes
7
Median Retweets
335
75th Percentile
24,392
Top Tweet
5.39
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
46.4%
Original
4.3%
Replies
30.1%
Retweets
19.3%
Quotes
0.0%
Threads
0.7%
With Media
65.1%
With Links
43.4%
With #Tags
73.6%
With @Mentions
71.1%
With Emojis
123
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.09
Reply/Original Ratio
0.64
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
62.8%
Weekday Posts
37.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,220 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 968 retweets (30% 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 3,220 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 football fans, former players, and individuals interested in sports management. The content appeals to those who enjoy match discussions and player interactions.
Average
Audience Quality
27.7%
Suspicion Index
30.2%
Low-Quality %
58
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
43.2%
Empty Bio
28.1%
<10 Tweets
20.0%
Mass Following (>2K)
0.0%
New (<90 days)
54.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.5%
No URL
17.2%
<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.
22,988,532
Total Potential Reach
58
Median Follower Reach
196
75th Percentile Reach
4.7%
>1K followers
0.6%
>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).
45.6%
Creators
4,556 accounts
26.4%
Consumers
2,637 accounts
28.1%
Dormant
2,807 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):
59
Verified Followers
0.59% of total
676
Protected Accounts
6.76% of total
3 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 | 14,075,055 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Joey7Barton | 2,828,803 | Footballer | Football, Philosophy, Self-improvement |
| @thedavidseaman | 444,753 | Footballer | Football, England, Trophies |
| @Moreno | 428,844 | Influencer | Business, Manager, Serious |
| @AliceProject_mb | 359,819 | Idol | Music, Idol, Performance |
| @HellsBellsy | 286,667 | Darts Player | Darts, Football, Metal Detecting |
| @PFA | 205,571 | Athlete Advocate | Football, Players, Guidance |
| @reid6peter | 179,057 | Musician | Music, Sharks, Sunny Day |
| @Box2BoxBola | 169,175 | Podcast Hosts | Football, Podcast, Southeast Asia |
| @Rubywax | 154,391 | Comedian | mental health, writer, comedian |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,684
Followers With Bio
4,316
Followers Without Bio
56.84%
% With Bio
43.16%
% 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 3,220 analyzed57,961
Combined Engagement
45,579
Total Likes
12,382
Total Retweets
11,592
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
60%
With @Mentions
60%
With Links
Topical Analysis:
Could not agree with @JackGrealish more 😂💙😂 https://t.co/D2yKu8457w
RT @21LVA: COMUNICADO OFICIAL: https://t.co/8Ooaef92ro
Really not sour grapes at all…..watched it again & again & again……how the fuck is that not offside 🤷♂️
I do love a knee slide @JackGrealish 💙 https://t.co/r7dQ1Y65ga
Erling Haaland £51m 21Yrs old 👊 Julian Alvarez £14m 22Yrs old 👊 Kalvin Phillips £42m 26Yrs old 👊 That’s how you do transfer business folks 👏👏 #futuresblue 💙💙💙
Key Insights & Takeaways
He frequently reacts to player actions, especially involving Jack Grealish, showing a personal connection to the players. His content is often lighthearted and humorous, which helps in maintaining audience interest. He uses emojis and informal language to create a friendly and relatable tone.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 66,865
- + 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 @OfficialPDickov reveals an well-established Twitter presence with 66,865 followers. The account demonstrates a content-creator strategy, averaging 360.7 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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