Line of Duty
Official account for @BBCOne’s #LineOfDuty | Written & Created by @Jed_Mercurio and @WorldProds.
264,844
Followers
850
Following
3,253
Tweets
270.1
Avg Engagement
207
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Line_of_duty'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:2013-12-16
- Verification:No
- Location:London, UK
Data Summary
- Tweets Analyzed:3,134
- Avg Likes per Tweet:210.4
- Avg Retweets per Tweet:59.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,134 tweetsThe account consistently receives high engagement, indicating strong fan interaction. Its tweets often include links to streaming platforms, enhancing viewer access.
210.4
Avg Likes/Tweet
59.6
Avg Retweets/Tweet
659,521
Total Likes
186,866
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
11
Median Retweets
99
75th Percentile
14,671
Top Tweet
1.02
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
23.9%
Original
22.4%
Replies
49.4%
Retweets
4.4%
Quotes
0.0%
Threads
0.3%
With Media
64.7%
With Links
56.5%
With #Tags
84.6%
With @Mentions
15.3%
With Emojis
102
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.94
Reply/Original Ratio
0.09
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
67.7%
Weekday Posts
32.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,134 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 1,547 retweets (49% 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 3,134 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 followersThe primary audience consists of fans of the show and viewers interested in crime dramas. The account appeals to a broad demographic, particularly those who follow BBC content.
Average
Audience Quality
22.3%
Suspicion Index
32.4%
Low-Quality %
40
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
49.0%
Empty Bio
23.5%
<10 Tweets
8.0%
Mass Following (>2K)
0.0%
New (<90 days)
44.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.8%
No URL
15.8%
<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.
34,576,685
Total Potential Reach
40
Median Follower Reach
171
75th Percentile Reach
5.1%
>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).
56.5%
Creators
28,263 accounts
20.0%
Consumers
10,006 accounts
23.5%
Dormant
11,731 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):
132
Verified Followers
0.13% of total
15,917
Protected Accounts
15.92% of total
8 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 | 14,102,038 | Wrestler | Wrestling, Motivation, Self-promotion |
| @scott_mills | 1,265,454 | Radio Host | Entertainment, Music, Radio |
| @NOH8Campaign | 801,413 | Activism | equality, bullying, discrimination |
| @tinch | 670,371 | - | - |
| @russell_kane | 610,108 | Comedian | comedy, Man Baggage, mirth |
| @bbctms | 514,076 | Cricket Commentators | Cricket, Commentary, Iconic |
| @thelumineers | 458,933 | Musicians | music, album, band |
| @AlisonHammond | 448,257 | TV Presenter | Tv, Broadcaster, Presenter |
| @zammit_marc | 387,744 | Filmmaker | Film, Acting, Producing |
| @P_Wicks01 | 386,315 | Reality TV Star | Pirates, Defence, Management |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
50,799
Followers With Bio
49,201
Followers Without Bio
50.8%
% With Bio
49.2%
% 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 3,134 analyzed61,532
Combined Engagement
54,892
Total Likes
6,640
Total Retweets
12,306
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
100%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
Mother of God… Mate, set your reminder for Sunday 21st March, 9pm. #LineOfDuty returns to @BBCOne & @BBCiPlayer! https://t.co/YUzzx2783v
Once an AFO always an AFO #LineOfDuty https://t.co/i4C83Zapfy
All of us after this episode... #LineOfDuty https://t.co/hgcmp8KSaz
When you're impatiently waiting for 9pm, but you're also sad series 6 is nearly over! #MixedEmotions #LineOfDuty https://t.co/kskbrOkBmm
It had to be done... Merry Christmas from all of us at #LineOfDuty https://t.co/vfPV5KUEgv
Key Insights & Takeaways
The account uses trending hashtags to increase visibility and reach a wider audience. It frequently shares promotional content for upcoming episodes, keeping followers informed and excited. Engagement is driven by emotional and dramatic content, such as reactions to key episodes.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 264,844
- + 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 @Line_of_duty reveals an well-established Twitter presence with 264,844 followers. The account demonstrates a content-creator strategy, averaging 270.1 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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