Kevin L. Jackson
USA Today & Wall Street Journal bestselling author, advisor, & technologist. https://t.co/JQmBpxpgul https://supplychainnow.com/brands/digital-transformers/…
85,195
Followers
44,425
Following
274,611
Tweets
7.0
Avg Engagement
1,336
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Kevin_Jackson'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:2008-12-05
- Verification:No
- Location:Virginia, USA
Data Summary
- Tweets Analyzed:3,243
- Avg Likes per Tweet:4.4
- Avg Retweets per Tweet:2.7
- Followers Analyzed:9,998
Engagement Analysis
Based on 3,243 tweetsKevin's tweets typically receive an average of 1,141 likes and 46 retweets, indicating moderate to high engagement. His content is well-received, especially when it highlights AI and digital transformation topics.
4.4
Avg Likes/Tweet
2.7
Avg Retweets/Tweet
14,162
Total Likes
8,686
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
1
Median Retweets
4
75th Percentile
2,539
Top Tweet
0.08
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
33.8%
Original
34.0%
Replies
31.8%
Retweets
0.5%
Quotes
0.0%
Threads
0.1%
With Media
97.5%
With Links
94.4%
With #Tags
81.7%
With @Mentions
6.6%
With Emojis
217
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
1.0
Reply/Original Ratio
0.01
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
64.3%
Weekday Posts
35.7%
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 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 1,030 retweets (32% 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 9,998 followersHis audience includes professionals in technology, business, and digital transformation fields. They are likely interested in AI integration, enterprise solutions, and innovation strategies.
Good
Audience Quality
18.2%
Suspicion Index
7.1%
Low-Quality %
642
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
11.0%
Empty Bio
5.7%
<10 Tweets
50.6%
Mass Following (>2K)
0.0%
New (<90 days)
14.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
56.1%
No URL
3.3%
<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.
55,407,933
Total Potential Reach
642
Median Follower Reach
2,388
75th Percentile Reach
41.3%
>1K followers
10.3%
>10K followers
1.8%
>50K followers
0.8%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
84.9%
Creators
8,486 accounts
9.4%
Consumers
941 accounts
5.7%
Dormant
571 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):
554
Verified Followers
5.54% of total
378
Protected Accounts
3.78% 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 |
|---|---|---|---|
| @saidercan | 1,032,708 | Philosopher | Teknoloji, Felsefe, Dijitalizm |
| @MikeyWax | 857,673 | Musician | music, singer-songwriter, new single |
| @KevinandTrevor | 695,306 | - | - |
| @Sweasy26 | 659,031 | Emoji Analyst | Emoji, Dictionary, Short Stories |
| @YoungBossSwagg | 608,400 | Music Producer | Trap music, producer, young boss |
| @VigilanteArtist | 568,861 | Digital Artist | Pop Art, Digital Art, iArt Movement |
| @TJHuntley | 525,791 | Poet | Poetry, Edgar Allan Poe, Starbucks |
| @Darryl_Sterdan | 498,423 | Music Critic | Music, Critic, Yapper |
| @xbiriy | 472,723 | - | - |
| @Rafa_Goz_ | 462,421 | Abogado | Derecho, Leyes, Defensor |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
8,905
Followers With Bio
1,095
Followers Without Bio
89.05%
% With Bio
10.95%
% 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 analyzed8,670
Combined Engagement
8,354
Total Likes
316
Total Retweets
1,734
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
40%
With @Mentions
100%
With Links
Topical Analysis:
What an amazing use of #AI! Turning Technology Into An Enabler With Human + AI Collaboration https://t.co/31bpZ0Rkju #ad
Would you like to learn more about #APOKI? Check out this Q&A. https://t.co/GisqYxSplz
#DigitalTransformation strategy drive change through significant process improvements. Enterprise resource planning (ERP) systems and subject matter expertise play vital roles. https://t.co/4V0tWlrQZ5 For more info: https://t.co/pJ6jUXSt44 @SAPCloudERP #ad https://t.co/oRWjhdMPgG
I have literally piloted planes around the globe! This experience is why I feel exceptionally qualified to act as your “Multi-Cloud Pilot.” https://t.co/QI7CFeR2AJ #VMwareEvangelist #Multicloud #MulticloudPilot
Building and Deploying IOWN with Dr. Masahisa Kawashima, NTT IOWN Technology Director. IOWN is an initiative for networks and information processing infrastructure focusing on optics to provide tremendous capabilities. https://t.co/Qo8y5IJkEx via @YouTube
Key Insights & Takeaways
Kevin emphasizes the importance of human-AI collaboration in driving innovation. He frequently discusses digital transformation and its impact on business processes. He promotes his work through strategic use of hashtags and links to articles and Q&A sessions.
Strengths
- + Established follower base of 85,195
- + 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 @Kevin_Jackson reveals an growing Twitter presence with 85,195 followers. The account demonstrates a conversation-first approach, averaging 7.0 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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