Simon Lightwood MP
Labour & Co-operative MP for Wakefield. (Parliamentary Candidate for Wakefield and Rothwell) Shadow Minister for Local Transport.
13,655
Followers
3,918
Following
6,134
Tweets
524.1
Avg Engagement
115
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @simonlightwood'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:2009-04-08
- Verification:Yes
- Location:Wakefield / Westminster
Data Summary
- Tweets Analyzed:3,236
- Avg Likes per Tweet:37.0
- Avg Retweets per Tweet:487.1
- Followers Analyzed:13,445
Engagement Analysis
Based on 3,236 tweetsHis tweets receive a high number of likes and retweets, indicating strong audience interaction. The engagement suggests a loyal and active following.
37.0
Avg Likes/Tweet
487.1
Avg Retweets/Tweet
119,713
Total Likes
1,576,262
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
6
Median Retweets
83
75th Percentile
710,050
Top Tweet
38.38
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
45.0%
Original
4.4%
Replies
46.8%
Retweets
3.8%
Quotes
0.0%
Threads
0.3%
With Media
77.0%
With Links
33.7%
With #Tags
67.3%
With @Mentions
7.8%
With Emojis
160
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.1
Reply/Original Ratio
0.08
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
77.1%
Weekday Posts
22.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,236 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 1,514 retweets (47% 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 3,236 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 13,445 followersHis followers are likely interested in politics, local governance, and social issues. The audience appears to be engaged with current events and political discourse.
Good
Audience Quality
16.6%
Suspicion Index
11.5%
Low-Quality %
489
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
19.0%
Empty Bio
6.3%
<10 Tweets
37.2%
Mass Following (>2K)
0.0%
New (<90 days)
18.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
73.8%
No URL
4.0%
<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.
62,617,368
Total Potential Reach
489
Median Follower Reach
1,589
75th Percentile Reach
34.8%
>1K followers
5.3%
>10K followers
1.1%
>50K followers
0.5%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
84.4%
Creators
11,345 accounts
9.3%
Consumers
1,249 accounts
6.3%
Dormant
851 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):
492
Verified Followers
3.66% of total
1,197
Protected Accounts
8.9% 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 | 14,106,569 | Wrestler | Wrestling, Motivation, Self-promotion |
| @UKLabour | 1,003,050 | Politics | Politics, Social Justice, Equality |
| @DanielNewman | 814,197 | Actor | WALKINGDEAD, MARVEL, LGBTQ* |
| @DavidLammy | 796,735 | Politician | Politics, Justice, Football |
| @WipeHomophobia | 697,610 | - | - |
| @krishgm | 695,963 | Journalist | News, Unreported World, Podcast |
| @AngelaRayner | 656,988 | Politician | Politics, Labour Party, Future of Work |
| @TayeDiggs | 648,816 | Actor | acting, chocolate, hosting |
| @RogerBezanis | 460,280 | Health Expert | Whole Food Raw Foodism, Diagnostic Face Reading, Health Expert |
| @YvetteCooperMP | 431,232 | Politician | Politics, Constituency casework, Labour |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
10,884
Followers With Bio
2,561
Followers Without Bio
80.95%
% With Bio
19.05%
% 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 3,236 analyzed833,063
Combined Engagement
14,074
Total Likes
818,989
Total Retweets
166,613
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @POTUS: Thank you for everything. My last ask is the same as my first. I'm asking you to believe—not in my ability to create change, but in yours.
RT @jeremycorbyn: Wrong. People were marching because we love our NHS and hate what the Tories are doing to it. Healthcare is a human right. https://t.co/Pmo2xYSqZh
RT @UKLabour: There cannot be one rule for Dominic Cummings and another for the British people. https://t.co/ji9m9vg3WS
RT @JoshHalliday: Goosebumps! The amazing moment Manchester crowd joins in with woman singing Oasis - Don't Look Back in Anger after minutes silence https://t.co/Cw4mOq8yde
Attended my first #PMQs today with @AngelaRayner wiping the floor with a winking Deputy Prime Minister, who once said people using food banks are not in poverty but have “a cash flow problem” He's spent over a million pounds on private jet flights in 9 months! Enough is enough.
Key Insights & Takeaways
He frequently shares political events and public engagement moments, which resonate with his audience. His content often includes personal gratitude and acknowledgment of public trust, which strengthens his connection with followers. He uses Twitter to highlight key political issues and campaign for his party's agenda.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 13,655
- + 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 @simonlightwood reveals an well-established Twitter presence with 13,655 followers. The account demonstrates a content-creator strategy, averaging 524.1 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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