Jeremiah Paprocki
The Voice of Wrigley Field @cubs | PA Announcer: @UICFlames & @Chicagoredstars | Email: jpaprocki5@gmail.com
13,154
Followers
794
Following
4,412
Tweets
77.0
Avg Engagement
81
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @jtheannouncer'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:2015-05-03
- Verification:No
- Location:Chicago, IL
Data Summary
- Tweets Analyzed:500
- Avg Likes per Tweet:54.8
- Avg Retweets per Tweet:22.2
- Followers Analyzed:12,879
Engagement Analysis
Based on 500 tweetsTheir tweets receive consistent engagement, indicating a loyal and active audience. The average likes and retweets suggest a moderate level of interaction with their content.
54.8
Avg Likes/Tweet
22.2
Avg Retweets/Tweet
27,415
Total Likes
11,082
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
8
Median Likes
0
Median Retweets
50
75th Percentile
1,833
Top Tweet
5.85
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
27.0%
Original
27.4%
Replies
13.2%
Retweets
32.4%
Quotes
0.0%
Threads
0.2%
With Media
66.6%
With Links
7.6%
With #Tags
49.6%
With @Mentions
20.8%
With Emojis
66
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.01
Reply/Original Ratio
2.45
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.2%
Weekday Posts
26.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 500 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 66 retweets (13% 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 500 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 12,879 followersTheir audience primarily consists of sports fans, especially Cubs supporters, and individuals interested in sports broadcasting. The audience is likely engaged with sports events and behind-the-scenes content.
Good
Audience Quality
15.3%
Suspicion Index
16.1%
Low-Quality %
154
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
29.1%
Empty Bio
5.8%
<10 Tweets
18.1%
Mass Following (>2K)
0.0%
New (<90 days)
30.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
82.2%
No URL
3.2%
<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.
25,482,984
Total Potential Reach
154
Median Follower Reach
425
75th Percentile Reach
11.0%
>1K followers
1.7%
>10K followers
0.5%
>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).
84.5%
Creators
10,889 accounts
9.7%
Consumers
1,247 accounts
5.8%
Dormant
743 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):
373
Verified Followers
2.9% of total
1,731
Protected Accounts
13.44% 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 |
|---|---|---|---|
| @Cubs | 2,607,331 | Sports Team | Baseball, Chicago, Sports |
| @SiriouslySusan | 1,778,316 | Voice Actor | Voice acting, singing, speaking |
| @CynthiaLIVE | 1,426,076 | Entrepreneur | Personal Branding, Keynote Speaking, Columnist |
| @nprscottsimon | 1,035,887 | Journalist | Books, Journalism, Family |
| @rogerhamilton | 929,461 | Entrepreneur | education, entrepreneurship, futurism |
| @mkraju | 636,397 | Journalist | Politics, Chicago sports, Wisconsin Badgers |
| @marshawright | 523,309 | Entrepreneur | Entrepreneurship, Marketing, Author |
| @jonmorosi | 441,480 | Sports Journalist | Baseball, Hockey, Broadcasting |
| @JonB_954 | 434,060 | Real Estate | Music, Real, Humor |
| @roywoodjr | 420,502 | Comedian | Comedy, Podcasting, FAMU |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
9,136
Followers With Bio
3,743
Followers Without Bio
70.94%
% With Bio
29.06%
% 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 500 analyzed8,216
Combined Engagement
4,613
Total Likes
3,603
Total Retweets
1,643
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
60%
With @Mentions
100%
With Links
Topical Analysis:
My First 100 @Cubs Games In Office #ItsDifferentHere https://t.co/wrt3DIm3vI
"Go Cubs Go" ft. THE LIGHTS https://t.co/2wB38Dd0lZ
RT @MLB: New on-field rules are coming in 2023, and we have answers for your questions: https://t.co/Zk1KFZMumG https://t.co/hFyrkagA34
RT @Cubs: Happy #OpeningDay to all who celebrate! https://t.co/CyTTTNIMf7
It has been built. I arrived. #FieldofDreamsGame https://t.co/6llF7YlUry
Key Insights & Takeaways
Their top tweets include personal milestones like their first 100 Cubs games in the office, which adds a relatable and nostalgic element. They often collaborate with other verified accounts, which may help in increasing their reach and credibility. Their use of hashtags like #ItsDifferentHere and #FieldofDreamsGame suggests a focus on storytelling and fan engagement.
Strengths
- + Established follower base of 13,154
- + 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 @jtheannouncer reveals an growing Twitter presence with 13,154 followers. The account demonstrates a conversation-first approach, averaging 77.0 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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