Sunderland Echo
News, sport & lifestyle from Sunderland, Durham & the North East. Visit our Facebook page: https://www.facebook.com/unsupportedbrowser and follow us on Instagram @SunderlandEcho.
61,008
Followers
696
Following
132,305
Tweets
1.7
Avg Engagement
453
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @SunderlandEcho'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:2008-07-05
- Verification:No
- Location:Sunderland, UK
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:1.3
- Avg Retweets per Tweet:0.4
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,250 tweetsOn average, tweets receive around 81 likes and 14 retweets, indicating moderate engagement. The account's content is likely shared by followers interested in local and sports-related updates.
1.3
Avg Likes/Tweet
0.4
Avg Retweets/Tweet
4,377
Total Likes
1,285
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
2
75th Percentile
222
Top Tweet
0.03
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
91.6%
Original
0.5%
Replies
7.9%
Retweets
0.0%
Quotes
0.0%
Threads
0.5%
With Media
99.4%
With Links
25.6%
With #Tags
17.8%
With @Mentions
28.3%
With Emojis
107
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.01
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
77.9%
Weekday Posts
22.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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 257 retweets (8% 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 3,250 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 followersThe primary audience is residents of Sunderland, Durham, and the North East, interested in local news and events. The account also attracts sports fans, particularly those following Sunderland AFC.
Average
Audience Quality
32.3%
Suspicion Index
49.1%
Low-Quality %
5
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
56.9%
Empty Bio
52.2%
<10 Tweets
6.2%
Mass Following (>2K)
0.0%
New (<90 days)
56.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.5%
No URL
41.3%
<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.
17,249,850
Total Potential Reach
5
Median Follower Reach
59
75th Percentile Reach
4.4%
>1K followers
0.4%
>10K followers
0.1%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
29.6%
Creators
2,955 accounts
18.3%
Consumers
1,828 accounts
52.2%
Dormant
5,217 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):
34
Verified Followers
0.34% of total
792
Protected Accounts
7.92% of total
4 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 | 14,076,004 | Wrestler | Wrestling, Motivation, Self-promotion |
| @IamMzilikazi | 553,943 | Musician | Pan-African music, Album, Rise |
| @bindelj | 102,623 | Journalist | Feminism, Campaigning, Journalism |
| @ukfashionbible | 88,314 | Fashion Blogger | Fashion, Worldwide Shipping |
| @Dr_Black | 65,544 | Professor | #CompSci, #BiasinAI, Podcast |
| @senthazalravi | 62,854 | - | - |
| @TerryCairney | 53,110 | Football Fan | Blackburn, Cornwall, Accrington |
| @electpoliticsuk | 37,471 | - | - |
| @reviewsofcool | 30,756 | - | - |
| @BASCnews | 29,269 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,308
Followers With Bio
5,692
Followers Without Bio
43.08%
% With Bio
56.92%
% 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 3,250 analyzed705
Combined Engagement
602
Total Likes
103
Total Retweets
141
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
"It should be an easy vote winner" https://t.co/VvaXfxEhrT
He feels he should be compensated for the lost burger: https://t.co/D4WWQUYt3g
Some breaking news from court: https://t.co/2a2JatsXOZ
A moving tribute from #SAFC fans: https://t.co/5Jph9MtnTn
Huge news for Sunderland 🎥🎬🎞 https://t.co/F9ABm2q59f
Key Insights & Takeaways
The account uses a mix of news, sports, and lifestyle content to maintain engagement. It leverages local events and community stories to connect with followers. Top tweets often include links to multimedia content, suggesting a focus on visual storytelling.
Strengths
- + Established follower base of 61,008
- + 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 @SunderlandEcho reveals an growing Twitter presence with 61,008 followers. The account demonstrates a content-creator strategy, averaging 1.7 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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