Sian Berry
Green MP candidate for Brighton Pavilion. London AM since 2016. Candidate for Mayor of London 2008, 2016, 2021. She/her
58,004
Followers
10,950
Following
59,809
Tweets
230.4
Avg Engagement
600
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @sianberry'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:2012-01-29
- Verification:No
- Location:London
Data Summary
- Tweets Analyzed:3,237
- Avg Likes per Tweet:7.7
- Avg Retweets per Tweet:222.6
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,237 tweetsHer tweets typically receive an average of 755 likes and 140 retweets, indicating a moderate level of engagement. The engagement is consistent across her posts, suggesting a loyal and active audience.
7.7
Avg Likes/Tweet
222.6
Avg Retweets/Tweet
25,039
Total Likes
720,656
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
14
Median Retweets
62
75th Percentile
22,680
Top Tweet
3.97
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
3.0%
Original
14.0%
Replies
76.9%
Retweets
6.1%
Quotes
0.0%
Threads
0.7%
With Media
82.6%
With Links
26.2%
With #Tags
90.4%
With @Mentions
33.2%
With Emojis
231
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
4.62
Reply/Original Ratio
0.08
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
79.6%
Weekday Posts
20.4%
Weekend Posts
Top Hashtags
Most Mentioned
Want This Report as PDF?
We're building PDF export for these analytics reports. Register your interest to get early access.
Content Strategy Analysis
Based on 3,237 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 2,488 retweets (77% 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 3,237 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 followersHer audience primarily consists of politically interested individuals, especially in London, and those following local and national politics. Her content resonates with people concerned about urban issues and transportation.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
209
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
76.2%
No URL
100.0%
<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.
38,226,131
Total Potential Reach
209
Median Follower Reach
831
75th Percentile Reach
22.0%
>1K followers
3.3%
>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).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
819
Protected Accounts
8.19% 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 | 14,090,693 | Wrestler | Wrestling, Motivation, Self-promotion |
| @NOH8Campaign | 800,040 | Activism | equality, bullying, discrimination |
| @localscale | 605,902 | Platform Developer | impact, acceleration, initiatives |
| @BootstrapCook | 555,974 | - | - |
| @zammit_marc | 384,776 | Filmmaker | Film, Acting, Producing |
| @timberners_lee | 353,037 | Computer Scientist | technology, web standards, humanity |
| @ClimateHuman | 339,582 | Climate Scientist | Climate science, Degrowth, Fossil fuels |
| @JujuliaGrace | 274,710 | Healthcare Advocate | medicine, advocacy, healthcare |
| @IainDale | 271,318 | Broadcaster | Politics, Radio, Podcasts |
| @spencerrayner | 264,406 | Digital Marketer | Cryptocurrency, Education, Health & Wellness |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,762
Followers With Bio
2,238
Followers Without Bio
77.62%
% With Bio
22.38%
% 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.
Buy Follower Data
Export full follower list with profile details, bios, locations, and follower counts as CSV.
Buy Followers - from $15Buy Tweet Data
Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,237 analyzed92,669
Combined Engagement
0
Total Likes
92,669
Total Retweets
18,534
Avg per Tweet
Key Metrics for Viral Tweets
20%
With Media
20%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @TanjaBueltmann: Hi @BBC, As a German I can tell you this: when politicians speak in a language not dissimilar to that used in 1930s Germany, I recognise it. Why? Because I have been taught about it all my life—and that it needs to be called out and rejected. It’s a duty to do
RT @InternetH0F: https://t.co/8XkRVWGBot
RT @Aiannucci: Back of my Polling Card for local elections. For 1st time, photo ID is required. Card gives many options for elderly or those with disability. None, NONE, for younger or student voters. The policy is simply biased against younger voters, designed to suppress their
RT @crimlawuk: My @SkyNews interview exposing Braverman’s lies is approaching 2 million views. This is democracy in action. #BritainIsBetterThanTheTories https://t.co/pog4qOorIB
RT @Esqueer_: Not only did Greta Thunberg destroy Andrew Tate with her tweet, she made him so angry he inadvertently tipped off Romanian authorities of his presence in Romania with his lame comeback video. Greta is an absolute legend. https://t.co/VkuvYfZvAd
Key Insights & Takeaways
She frequently highlights urban issues such as traffic congestion and space usage. Her tweets often reference other political figures and media outlets, indicating a network of political and media connections. She emphasizes her long-standing relationship with Caroline Lucas, a key figure in the Green Party, which underscores her political identity and values.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 58,004
- + 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 @sianberry reveals an well-established Twitter presence with 58,004 followers. The account demonstrates a conversation-first approach, averaging 230.4 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.
Need Programmatic Access?
We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.
Register Interest for API Access