Jake Wood
Actor with a boxing podcast @poundpodcast Represented by @alex_segal at @intertalent Email [email protected] CAMEO https://www.cameo.com/mrjakedwood
416,569
Followers
2,407
Following
20,173
Tweets
82.5
Avg Engagement
348
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @mrjakedwood'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: Macro Influencer (100K+)
- Account Age:2012-02-27
- Verification:No
- Location:UK
Data Summary
- Tweets Analyzed:3,220
- Avg Likes per Tweet:32.9
- Avg Retweets per Tweet:49.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,220 tweetsHis tweets typically receive a high number of likes and some retweets, indicating a loyal and engaged fan base.
32.9
Avg Likes/Tweet
49.6
Avg Retweets/Tweet
106,008
Total Likes
159,746
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
1
Median Retweets
14
75th Percentile
60,633
Top Tweet
0.2
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
25.1%
Original
27.7%
Replies
43.1%
Retweets
4.0%
Quotes
0.0%
Threads
4.0%
With Media
34.6%
With Links
8.2%
With #Tags
82.3%
With @Mentions
54.1%
With Emojis
96
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.1
Reply/Original Ratio
0.09
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.5%
Weekday Posts
26.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,220 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 1,389 retweets (43% 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 3,220 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 50,000 followersHis audience includes fans of his acting roles and boxing enthusiasts due to his podcast and boxing-related tweets.
Average
Audience Quality
26.5%
Suspicion Index
31.6%
Low-Quality %
30
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
47.6%
Empty Bio
25.5%
<10 Tweets
11.5%
Mass Following (>2K)
0.0%
New (<90 days)
60.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.8%
No URL
15.6%
<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.
74,863,974
Total Potential Reach
30
Median Follower Reach
131
75th Percentile Reach
4.7%
>1K followers
0.8%
>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).
49.6%
Creators
24,819 accounts
24.9%
Consumers
12,455 accounts
25.5%
Dormant
12,726 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):
692
Verified Followers
0.69% of total
15,291
Protected Accounts
15.14% of total
8 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 | 14,104,277 | Wrestler | Wrestling, Motivation, Self-promotion |
| @KSI | 8,818,070 | Musician | Music, Rap, Collaboration |
| @ollymurs | 6,828,613 | Singer | Music, Touring, Summer |
| @Joe_Sugg | 4,709,862 | Entertainer | Entertainment, Comedy, Theatre |
| @Channel4News | 2,471,740 | Journalist | News, Stories, Inspire |
| @talkSPORT | 2,194,369 | Sports broadcaster | Sports, Radio, Station |
| @amirkingkhan | 2,088,264 | Boxer | Boxing, Champion, President |
| @6BillionPeople | 2,036,007 | - | - |
| @AmandaHolden | 2,014,318 | Entertainer | Family, Acting, Singing |
| @KatiePrice | 1,842,435 | Influencer | YouTube, Subscribe, Channel |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
52,314
Followers With Bio
48,685
Followers Without Bio
51.8%
% With Bio
48.2%
% 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 3,220 analyzed130,647
Combined Engagement
22,154
Total Likes
108,493
Total Retweets
26,129
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
40%
With Links
Topical Analysis:
RT @biel_m04: NOTHING PERSONAL .. LONDON IS RED ❤️
RT @Arsenal: As a result of listening to you and the wider football community over recent days we are withdrawing from the proposed Super L…
Have just cancelled my @dazngroup @DAZNBoxing subscription. Not paying to watch YouTubers chase each other around a ring #goodbye 👋🏼
That’s a wrap. After 15 years on Albert Square it’s finally time to say goodbye to Max Branning today. I will miss Eastenders and the people here so much. Thanks to everyone for all your support 🙌🏼❤️ https://t.co/8mVJceJpcl
RT @Arsenal: Playing football 𝗧𝗵𝗲 𝗔𝗿𝘀𝗲𝗻𝗮𝗹 𝗪𝗮𝘆 ™️ https://t.co/70E1HTiw5h
Key Insights & Takeaways
He has publicly canceled his subscription to a boxing streaming service, indicating a shift in his personal media consumption habits. He has announced his final appearance on EastEnders, highlighting the end of a long-running role. He uses Twitter to share personal and professional updates, maintaining a direct connection with his audience.
Strengths
- + Established follower base of 416,569
- + 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 @mrjakedwood reveals an growing Twitter presence with 416,569 followers. The account demonstrates a conversation-first approach, averaging 82.5 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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