Anneliese Dodds
Labour and Co-op MP for Oxford East. Shadow Women & Equalities Secretary, Chair of @UKLabour Party and National Policy Forum. Rose Hill resident. Views own.
85,889
Followers
955
Following
9,379
Tweets
456.1
Avg Engagement
775
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @AnnelieseDodds'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:2012-03-08
- Verification:Yes
- Location:Oxford, England
Data Summary
- Tweets Analyzed:3,243
- Avg Likes per Tweet:180.8
- Avg Retweets per Tweet:275.4
- Followers Analyzed:10,999
Engagement Analysis
Based on 3,243 tweetsHer tweets typically receive high engagement, with an average of nearly 10,000 likes and over 3,000 retweets. This indicates a strong and active audience interested in her content.
180.8
Avg Likes/Tweet
275.4
Avg Retweets/Tweet
586,196
Total Likes
893,019
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
5
Median Likes
24
Median Retweets
311
75th Percentile
42,596
Top Tweet
5.31
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
44.0%
Original
4.1%
Replies
44.8%
Retweets
7.1%
Quotes
0.0%
Threads
0.1%
With Media
78.4%
With Links
28.9%
With #Tags
63.3%
With @Mentions
10.7%
With Emojis
232
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.09
Reply/Original Ratio
0.16
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 3,243 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 1,454 retweets (45% 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 3,243 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 followersHer audience includes political supporters, policy enthusiasts, and those interested in social justice issues. She engages with a mix of followers from across the UK and beyond.
Average
Audience Quality
24.5%
Suspicion Index
28.5%
Low-Quality %
65
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
41.0%
Empty Bio
23.4%
<10 Tweets
19.7%
Mass Following (>2K)
0.0%
New (<90 days)
46.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.1%
No URL
16.0%
<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.
25,202,586
Total Potential Reach
65
Median Follower Reach
328
75th Percentile Reach
11.6%
>1K followers
1.2%
>10K followers
0.3%
>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).
57.2%
Creators
6,290 accounts
19.4%
Consumers
2,131 accounts
23.4%
Dormant
2,578 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):
100
Verified Followers
0.91% of total
817
Protected Accounts
7.43% 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 |
|---|---|---|---|
| @JohnCena | 14,097,888 | Wrestler | Wrestling, Motivation, Self-promotion |
| @NOH8Campaign | 799,114 | Activism | equality, bullying, discrimination |
| @ZimEye | 427,277 | Journalist | Zimbabwe, Africa, Journalism |
| @zammit_marc | 386,332 | Filmmaker | Film, Acting, Producing |
| @peterndoro | 363,860 | Journalist | Journalism, Broadcasting, Africa |
| @CHIMPSINSOCKS | 240,885 | - | - |
| @bdnews24 | 224,418 | News Aggregator | Bangladesh, News, Independent |
| @fratusll | 173,743 | - | - |
| @womensaid | 149,794 | Advocacy | domestic abuse, women, children |
| @TheBodyShopUK | 147,534 | Beauty retailer | beauty, sustainability, self-love |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,493
Followers With Bio
4,506
Followers Without Bio
59.03%
% With Bio
40.97%
% 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 3,243 analyzed123,174
Combined Engagement
43,650
Total Likes
79,524
Total Retweets
24,635
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
0%
With Links
Topical Analysis:
RT @Keir_Starmer: This was a test of the Prime Minister and he has failed it. It is an insult to sacrifices made by the British people that Boris Johnson has chosen to take no action against Dominic Cummings.
RT @Ed_Miliband: What incompetence. What failure of governance. Boris Johnson can't blame Theresa May, he can't blame John Major, he can't blame judges, he can't blame civil servants, he can't sack the Cabinet Secretary again. There's only one person responsible - him. Me in the
Families aren’t staying at home because they're waiting for a tenner off their meal. They're staying at home because they're still worried about coronavirus. We don’t just need incentives. We need confidence.
Drop in GDP, Apr-Jun 2020 🇩🇪 -10.1% 🇪🇺 -11.9% 🇧🇪 -12.2% 🇮🇹 -12.4% 🇫🇷 -13.8% 🇵🇹 -14.1% 🇬🇧 -20.4% We’ve already got the worst excess death rate in Europe. Now we’re on course for the worst recession too. A downturn was inevitable after lockdown - Johnson’s jobs crisis wasn’t.
Length of furlough scheme by country 🇩🇪 24 months 🇫🇷 24 months 🇦🇺 12 months 🇮🇪 12 months 🇬🇧 8 months Other governments know that millions of workers still need targeted help to get through this crisis. Our government thinks it knows better.
Key Insights & Takeaways
Her tweets often focus on economic inequality and the impact of government policies on everyday people. She uses data and statistics to support her arguments, particularly regarding GDP and furlough schemes. She emphasizes the importance of addressing social issues like poverty and healthcare access.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 85,889
- + 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 @AnnelieseDodds reveals an well-established Twitter presence with 85,889 followers. The account demonstrates a content-creator strategy, averaging 456.1 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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