Abbi Grace Summers
⚽️Freelance sports broadcaster 🎬🎥🎙📥MGMT: [email protected] Insta:@abbisummers 📸
52,161
Followers
1,215
Following
17,320
Tweets
841.6
Avg Engagement
186
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @AbbiSummers'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:2009-05-17
- Verification:No
- Location:London
Data Summary
- Tweets Analyzed:3,198
- Avg Likes per Tweet:123.6
- Avg Retweets per Tweet:718.0
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,198 tweetsHer tweets consistently receive high engagement, indicating a loyal and active audience. The use of emojis and hashtags helps to foster a sense of community and shared experience.
123.6
Avg Likes/Tweet
718.0
Avg Retweets/Tweet
395,209
Total Likes
2,296,130
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
1
Median Retweets
189
75th Percentile
669,689
Top Tweet
16.13
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
24.7%
Original
38.9%
Replies
28.9%
Retweets
7.5%
Quotes
0.0%
Threads
0.1%
With Media
38.0%
With Links
23.9%
With #Tags
79.9%
With @Mentions
44.1%
With Emojis
116
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.57
Reply/Original Ratio
0.26
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.5%
Weekday Posts
30.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,198 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 925 retweets (29% 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 3,198 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 appears to be primarily football fans, especially those supporting Tottenham Hotspur. The use of hashtags and references to specific matches suggests a niche, passionate fanbase.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
77
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)
91.1%
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.
26,033,265
Total Potential Reach
77
Median Follower Reach
249
75th Percentile Reach
6.4%
>1K followers
0.9%
>10K followers
0.3%
>50K followers
0.2%
>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
1,156
Protected Accounts
11.56% of total
6 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 | 14,097,234 | Wrestler | Wrestling, Motivation, Self-promotion |
| @richarlison97 | 1,644,074 | Footballer | Football, Copa America, Olympics |
| @EamonnHolmes | 1,163,699 | TV Presenter | TV, Trustee, Television |
| @ESPNUK | 1,099,333 | Sports Media | Sports, World Cup, Coverage |
| @IamMzilikazi | 555,612 | Musician | Pan-African music, Album, Rise |
| @FootyScran | 548,095 | Food Blogger | football, food, photography |
| @Gunnersc0m | 353,519 | Sports Media | Football, Arsenal, Betting |
| @eljonesuk | 337,135 | Sports Broadcaster | Football, Betting, Podcasting |
| @90min_Football | 262,206 | - | - |
| @DevlinOfficial | 229,650 | Musician | Music, Rap, Grime |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,165
Followers With Bio
3,835
Followers Without Bio
61.65%
% With Bio
38.35%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,198 analyzed1,040,885
Combined Engagement
0
Total Likes
1,040,885
Total Retweets
208,177
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @RoyalFamily: The Queen died peacefully at Balmoral this afternoon. The King and The Queen Consort will remain at Balmoral this evening and will return to London tomorrow. https://t.co/VfxpXro22W
RT @TiredActor: I’m losing my mind over this https://t.co/j7Zpq3qT3s
RT @Ahmedchats: Nobody : My mother during the 1st quarantine: https://t.co/6xDqMoQUT8
RT @FabrizioRomano: Brazilian legend Pelé has passed away at 82, one of the greatest of all time who changed the game. A man with a god-given talent, one of the names who will remain forever in the memory. All thoughts with the family. RIP, legend 🕊️ https://t.co/xxndio7gmM
RT @doglab: It takes 3.2 sec to RT and help find them this happened in #Bradford https://t.co/zOnnaiAOnm
Key Insights & Takeaways
She leverages her platform to connect with fans through emotional and nostalgic content. Her tweets often include a strong sense of identity and belonging tied to the Tottenham Hotspur community. She uses visual and emotional cues like emojis and hashtags to enhance engagement and foster interaction.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 52,161
- + 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 @AbbiSummers reveals an well-established Twitter presence with 52,161 followers. The account demonstrates a conversation-first approach, averaging 841.6 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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