Ian Lavery MP
Proud to be the Labour MP for Wansbeck🌹
96,005
Followers
6,086
Following
7,219
Tweets
882.0
Avg Engagement
779
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @IanLaveryMP'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:2011-05-18
- Verification:Yes
- Location:Wonderful Wansbeck
Data Summary
- Tweets Analyzed:3,187
- Avg Likes per Tweet:493.6
- Avg Retweets per Tweet:388.4
- Followers Analyzed:10,999
Engagement Analysis
Based on 3,187 tweetsHis tweets receive a high average number of likes and retweets, indicating strong audience interaction and interest in his political views.
493.6
Avg Likes/Tweet
388.4
Avg Retweets/Tweet
1,573,147
Total Likes
1,237,792
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
15
Median Likes
81
Median Retweets
718
75th Percentile
33,689
Top Tweet
9.19
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
38.2%
Original
3.1%
Replies
47.2%
Retweets
11.5%
Quotes
0.0%
Threads
0.5%
With Media
76.7%
With Links
32.0%
With #Tags
72.1%
With @Mentions
27.6%
With Emojis
201
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.08
Reply/Original Ratio
0.24
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
78.2%
Weekday Posts
21.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,187 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 1,505 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 3,187 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 10,999 followersHis audience includes supporters of the Labour Party and individuals interested in UK politics and public services.
Average
Audience Quality
22.1%
Suspicion Index
22.7%
Low-Quality %
110
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
34.1%
Empty Bio
17.3%
<10 Tweets
25.3%
Mass Following (>2K)
0.0%
New (<90 days)
38.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.5%
No URL
11.3%
<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.
10,947,477
Total Potential Reach
110
Median Follower Reach
469
75th Percentile Reach
14.5%
>1K followers
1.1%
>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).
65.7%
Creators
7,224 accounts
17.1%
Consumers
1,877 accounts
17.3%
Dormant
1,898 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):
76
Verified Followers
0.69% of total
827
Protected Accounts
7.52% of total
5 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 |
|---|---|---|---|
| @SinghLions | 1,330,596 | Restaurateur | Food, Travel, Influencer |
| @MisterSalesman | 388,304 | Author | Books, Writing, Hosting |
| @ProfKarolSikora | 329,042 | Oncologist | Oncology, Proton Beam Therapy, Medical Education |
| @conquerer1 | 236,214 | Entertainer | MUSIC, AWARDS, CELEBRITIES |
| @natalieben | 184,944 | Politician | Green politics, environmental activism, social justice |
| @IAMCouncil | 165,258 | Advocacy | advocacy, peace, justice |
| @JYH7 | 143,754 | Footballer | Football, Philippines, United Kingdom |
| @MeatballMolly | 135,092 | MMA Fighter | UFC, Flyweight, NextGenerationMMA |
| @SocialistNHS | 131,552 | - | - |
| @RoiLopezRivas | 119,730 | Geologist | Gobierno, URSS, Chavista |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,249
Followers With Bio
3,750
Followers Without Bio
65.91%
% With Bio
34.09%
% 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 3,187 analyzed122,041
Combined Engagement
80,699
Total Likes
41,342
Total Retweets
24,408
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
40%
With Links
Topical Analysis:
I know who I’d trust every second of the day. @jeremycorbyn https://t.co/ZpyzqEWvJk
You can’t believe it can you ? The nurses who took us through the pandemic are balloting for Industrial action. Our National hero’s are having to beg for decent wages.
RT @jeremycorbyn: The Tories have been in power for over nine years. If they really wanted to fund our NHS properly, they'd have done it by now.
Boris Johnson tonight on the BBC "I've given you the most important metric which is, never mind life expectancy, never mind cancer outcomes, look at wage growth." I beg to differ! Ghastly appalling disregard for our people. https://t.co/TmOLV3k2Wh
For the avoidance of doubt I support a publicly owned Rail Network. Mail, Energy and Water too.
Key Insights & Takeaways
He frequently aligns with prominent Labour figures like Jeremy Corbyn He emphasizes the importance of public ownership in sectors like rail, energy, and water He highlights the challenges faced by healthcare workers during the pandemic
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 96,005
- + 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 @IanLaveryMP reveals an well-established Twitter presence with 96,005 followers. The account demonstrates a content-creator strategy, averaging 882.0 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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