BIG Phil Campion
Former SAS Trooper, Official Champion of the Cadet Force. Best selling Author who has presented TV for Sky #BigPhilsWar TikTok @bigphilcampion01
60,156
Followers
604
Following
20,059
Tweets
81.6
Avg Engagement
68
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @bigphilcampion'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:2012-04-04
- Verification:No
- Location:Man Town
Data Summary
- Tweets Analyzed:3,230
- Avg Likes per Tweet:72.9
- Avg Retweets per Tweet:8.7
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,230 tweetsHis tweets receive a high number of likes and retweets, indicating strong audience interaction. The use of hashtags and mentions suggests a strategic approach to engagement.
72.9
Avg Likes/Tweet
8.7
Avg Retweets/Tweet
235,394
Total Likes
28,222
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
13
Median Likes
1
Median Retweets
70
75th Percentile
3,877
Top Tweet
1.36
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
34.3%
Original
39.8%
Replies
8.9%
Retweets
17.0%
Quotes
0.0%
Threads
0.2%
With Media
58.5%
With Links
13.6%
With #Tags
60.5%
With @Mentions
52.7%
With Emojis
87
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.16
Reply/Original Ratio
1.92
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.7%
Weekday Posts
25.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,230 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 286 retweets (9% 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 3,230 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 military enthusiasts, patriots, and individuals interested in political and social issues. They are likely drawn to his authoritative and passionate tone.
Average
Audience Quality
22.4%
Suspicion Index
27.1%
Low-Quality %
67
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
41.5%
Empty Bio
20.2%
<10 Tweets
16.5%
Mass Following (>2K)
0.0%
New (<90 days)
42.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.4%
No URL
12.8%
<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.
10,562,567
Total Potential Reach
67
Median Follower Reach
259
75th Percentile Reach
9.2%
>1K followers
0.9%
>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).
60.0%
Creators
5,996 accounts
19.8%
Consumers
1,984 accounts
20.2%
Dormant
2,020 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):
108
Verified Followers
1.08% of total
1,130
Protected Accounts
11.3% of total
6 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 |
|---|---|---|---|
| @MichaelVaughan | 1,560,926 | Model | Cricket, Fashion, Business |
| @solalexasch | 680,434 | Musician | Music, Travel, Tattoos |
| @danwootton | 512,634 | Journalist | News, Presenter, Columnist |
| @estebangerbasi | 483,793 | Activista | Dios, Paz, Democracia |
| @thecoastguy | 349,272 | Archaeologist | Archaeology, History, Nature |
| @calvinrobinson | 281,688 | Broadcaster | Politics, Media, Bitcoin |
| @phillyrob1 | 271,972 | Unknown | East Coast, Philly, Rob |
| @PennyMordaunt | 242,088 | Politician | Royal Navy, Trade, Author |
| @beverleyturner | 149,400 | Journalist | Journalism, Broadcasting, Parenting |
| @ToniaBuxton | 127,336 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,850
Followers With Bio
4,150
Followers Without Bio
58.5%
% With Bio
41.5%
% 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 3,230 analyzed15,393
Combined Engagement
13,886
Total Likes
1,507
Total Retweets
3,079
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
Once again stepping up to the plate and leading by example. God Save The Queen. https://t.co/pswPcm9bpb
It’s Independence Day #leave #BrexitDay #IndependenceDay @piersmorgan @LeaveEUOfficial #BrexitEve #BrexitReality #democracy https://t.co/TKMiE17waw
You train hard for a reason #fighteasy 👊🏻 https://t.co/TglzV2v794
Sorted 👍🏻 #standuptoterror https://t.co/LgsGkl3fSG
Decorated and really rightly so. Brave men afford us our liberty 🇬🇧 https://t.co/TmtMgizL32
Key Insights & Takeaways
He leverages his military background to build credibility and authority. His content often aligns with nationalistic and political themes, resonating with a specific demographic. He uses a mix of personal storytelling and public commentary to engage his audience.
Strengths
- + Established follower base of 60,156
- + 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 @bigphilcampion reveals an growing Twitter presence with 60,156 followers. The account demonstrates a conversation-first approach, averaging 81.6 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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