Kelly Foran
North of England Reporter @itvnews. Outdoors lover 🌳 wannabe astronaut. 🚀
11,665
Followers
924
Following
8,314
Tweets
1,469.0
Avg Engagement
75
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @KellyForan'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:2009-11-19
- Verification:No
- Location:Manchester, England
Data Summary
- Tweets Analyzed:599
- Avg Likes per Tweet:31.5
- Avg Retweets per Tweet:1,437.5
- Followers Analyzed:11,609
Engagement Analysis
Based on 599 tweetsHer tweets typically receive around 1,248 likes and 82 retweets on average. She engages with her audience through personal stories and breaking news updates.
31.5
Avg Likes/Tweet
1,437.5
Avg Retweets/Tweet
18,867
Total Likes
861,056
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
28
75th Percentile
554,417
Top Tweet
125.93
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
15.0%
Original
51.3%
Replies
28.7%
Retweets
5.0%
Quotes
0.0%
Threads
2.3%
With Media
26.2%
With Links
5.7%
With #Tags
87.5%
With @Mentions
30.6%
With Emojis
99
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
3.41
Reply/Original Ratio
0.17
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.0%
Weekday Posts
29.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 599 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 172 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 599 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 11,609 followersHer audience is primarily interested in regional and national news, with a focus on the North of England. She also appeals to fans of sports and current events.
Good
Audience Quality
17.1%
Suspicion Index
19.0%
Low-Quality %
179
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
32.7%
Empty Bio
9.1%
<10 Tweets
22.4%
Mass Following (>2K)
0.0%
New (<90 days)
27.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
77.2%
No URL
5.3%
<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.
23,400,280
Total Potential Reach
179
Median Follower Reach
599
75th Percentile Reach
16.9%
>1K followers
2.3%
>10K followers
0.6%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
77.0%
Creators
8,944 accounts
13.9%
Consumers
1,612 accounts
9.1%
Dormant
1,053 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):
312
Verified Followers
2.69% of total
1,534
Protected Accounts
13.21% of total
10 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 |
|---|---|---|---|
| @itvnews | 2,614,542 | News broadcaster | News, UK, World |
| @larrykim | 729,627 | Entrepreneur | Startups, AdWords, Chatbots |
| @paul_steele | 647,817 | Travel Blogger | Travel, hiking, photography |
| @eliistender10 | 411,585 | Author | Books, Podcasting, Music |
| @bbcapprentice | 347,547 | TV Show | TV, Reality Show, Business |
| @BBCNWT | 332,911 | News broadcaster | News, Stories, Region |
| @GranadaReports | 330,546 | News broadcaster | News, Politics, Current Affairs |
| @AndyMitten | 322,973 | Journalist | Football, Journalism, Writing |
| @danroan | 313,885 | Sports Journalist | Sports, Journalism, Podcasts |
| @ChrisWheatley | 296,483 | Sports Journalist | Football, Arsenal, Reporting |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,814
Followers With Bio
3,795
Followers Without Bio
67.31%
% With Bio
32.69%
% 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 599 analyzed761,931
Combined Engagement
0
Total Likes
761,931
Total Retweets
152,386
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @ManUtd: Welcome 𝗵𝗼𝗺𝗲, @Cristiano 🔴 #MUFC | #Ronaldo
RT @MarcusRashford: https://t.co/bs9lksGM4q
RT @TheCricketGeek: Nothing better than this will happen all summer https://t.co/dSg6DfAaxy
RT @notinaboyband: Absolutely incredible opening to itv news tonight https://t.co/Hp5PDzmsfG
RT @jonathancmunro: It’s with a heavy heart that we have had to suspend @BBCNews operations in Russia until we assess impact of new laws wh…
Key Insights & Takeaways
She has a strong connection to her local area and has shared personal anecdotes about her career. She has transitioned from regional to national news, indicating a career shift. Her content often blends personal passion with professional reporting.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 11,665
- + 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 @KellyForan reveals an exceptionally influential Twitter presence with 11,665 followers. The account demonstrates a conversation-first approach, averaging 1,469.0 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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