Sienna Rodgers
Senior Writer, @TheHouseMag. Former Editor, @LabourList. Other: @guardian, TV, radio.
36,735
Followers
3,766
Following
14,184
Tweets
1,580.6
Avg Engagement
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @siennamarla'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:2009-01-01
- Verification:No
- Location:London, England
Data Summary
- Tweets Analyzed:599
- Avg Likes per Tweet:130.3
- Avg Retweets per Tweet:1,450.3
- Followers Analyzed:37,744
Engagement Analysis
Based on 599 tweetsHer tweets receive a high average number of likes and retweets, indicating strong audience interaction. The engagement suggests her content is both informative and timely.
130.3
Avg Likes/Tweet
1,450.3
Avg Retweets/Tweet
78,049
Total Likes
868,710
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
7
Median Likes
8
Median Retweets
151
75th Percentile
679,232
Top Tweet
43.03
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
21.7%
Original
37.6%
Replies
32.2%
Retweets
8.5%
Quotes
0.0%
Threads
0.3%
With Media
28.5%
With Links
2.5%
With #Tags
52.4%
With @Mentions
14.7%
With Emojis
156
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.73
Reply/Original Ratio
0.26
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
84.6%
Weekday Posts
15.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 599 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 193 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 599 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 37,744 followersHer audience is primarily interested in politics, media, and current events. They are likely to be politically engaged individuals and professionals in related fields.
Good
Audience Quality
19.0%
Suspicion Index
14.7%
Low-Quality %
316
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
23.4%
Empty Bio
9.3%
<10 Tweets
34.9%
Mass Following (>2K)
0.0%
New (<90 days)
26.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
78.7%
No URL
5.9%
<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.
139,162,047
Total Potential Reach
316
Median Follower Reach
1,128
75th Percentile Reach
27.3%
>1K followers
3.9%
>10K followers
0.9%
>50K followers
0.4%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
80.6%
Creators
30,428 accounts
10.1%
Consumers
3,796 accounts
9.3%
Dormant
3,520 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):
1,464
Verified Followers
3.88% of total
4,761
Protected Accounts
12.61% of total
9 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 | 14,105,718 | Wrestler | Wrestling, Motivation, Self-promotion |
| @stephenfry | 12,297,133 | - | - |
| @radioleary | 2,659,300 | - | - |
| @jeremycorbyn | 2,525,607 | Politician | politics, activism, socialism |
| @Peston | 1,340,203 | Journalist | politics, education, writing |
| @SadiqKhan | 1,153,600 | Politician | Politics, Environment, London |
| @mrjamesob | 1,130,532 | Radio Host | Politics, Radio, Author |
| @OwenJones84 | 1,026,190 | - | - |
| @campbellclaret | 1,006,038 | Writer | Writing, Communication, Mental Health |
| @LDN | 1,000,368 | Travel Guide | London, Guide, Handpicked |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
28,901
Followers With Bio
8,843
Followers Without Bio
76.57%
% With Bio
23.43%
% 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 599 analyzed793,269
Combined Engagement
15,011
Total Likes
778,258
Total Retweets
158,654
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
40%
With Links
Topical Analysis:
RT @RoyalFamily: The Queen died peacefully at Balmoral this afternoon. The King and The Queen Consort will remain at Balmoral this evening…
RT @davidmackau: this remains an all-time story about the queen https://t.co/hI2yNUac0H
RT @TimothyDSnyder: Russia has a hunger plan. Vladimir Putin is preparing to starve much of the developing world as the next stage in his w…
Labour source: “My jaw is on the table at how damaging this is for the Tories. We couldn’t pay for this.”
RT @DanJohnsonNews: Conservative MP Charles Walker seems broken by tonight's events - tells @BBCNews he is livid with colleagues https://t.…
Key Insights & Takeaways
Her tweets often highlight internal Labour Party dynamics and political strategy. She frequently reports on by-elections and campaign activities. She covers key political figures and their public statements.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 36,735
- + 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 @siennamarla reveals an exceptionally influential Twitter presence with 36,735 followers. The account demonstrates a conversation-first approach, averaging 1,580.6 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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