Josh Goldberg
Lots of Blue Jays tweets. Some you'll love & some you'll probably hate. There will also be GIFs. @DFA_POD
10,809
Followers
932
Following
33,037
Tweets
68.9
Avg Engagement
200
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @JGoldberg12'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:2012-05-07
- Verification:No
- Location:Toronto, Ontario
Data Summary
- Tweets Analyzed:500
- Avg Likes per Tweet:55.6
- Avg Retweets per Tweet:13.3
- Followers Analyzed:9,531
Engagement Analysis
Based on 500 tweetsThe account has an average of 660 likes and 26 retweets per tweet, indicating moderate engagement with the content.
55.6
Avg Likes/Tweet
13.3
Avg Retweets/Tweet
27,797
Total Likes
6,636
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
0
Median Retweets
79
75th Percentile
2,543
Top Tweet
6.37
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
27.4%
Original
49.0%
Replies
16.4%
Retweets
7.2%
Quotes
0.0%
Threads
0.0%
With Media
30.6%
With Links
6.8%
With #Tags
66.6%
With @Mentions
4.0%
With Emojis
93
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.79
Reply/Original Ratio
0.44
Quote/RT Ratio
Posting Rhythm
Consistent
Regular posting cadence
64.8%
Weekday Posts
35.2%
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 82 retweets (16% 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 9,531 followersThe audience is primarily interested in Blue Jays baseball, with a mix of fans who enjoy both positive and critical takes.
Good
Audience Quality
18.5%
Suspicion Index
22.1%
Low-Quality %
92
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
36.7%
Empty Bio
11.6%
<10 Tweets
15.3%
Mass Following (>2K)
0.0%
New (<90 days)
38.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
85.2%
No URL
7.4%
<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.
19,836,713
Total Potential Reach
92
Median Follower Reach
333
75th Percentile Reach
12.1%
>1K followers
2.8%
>10K followers
0.5%
>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).
74.2%
Creators
7,076 accounts
14.2%
Consumers
1,349 accounts
11.6%
Dormant
1,106 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):
366
Verified Followers
3.84% of total
854
Protected Accounts
8.96% 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 |
|---|---|---|---|
| @thereallisaann | 1,988,529 | Sports Bettor | Fantasy Sports, Sports Betting, Podcast |
| @JoeyBats19 | 1,050,014 | Baseball Player | Baseball, Philanthropy, Sports |
| @EdKrassen | 882,280 | Journalist | Politics, Journalism, Author |
| @ZachBoychuk | 830,510 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @OldTakesExposed | 636,003 | Sports Analyst | Sports, Unprophetic, Fun Stuff |
| @MelissaJoanHart | 631,948 | Actress | Family, Acting, Motherhood |
| @jonmorosi | 441,471 | Sports Journalist | Baseball, Hockey, Broadcasting |
| @KingJosiah54 | 263,422 | Content Creator | Netflix, Fubo, Wave TV |
| @robtswthrayguns | 259,725 | Inventor | synthwave, NFT, NSFW |
| @StaceyDales | 235,116 | Sports Analyst | NFL, College Hoops, Pro Basketball |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,029
Followers With Bio
3,502
Followers Without Bio
63.26%
% With Bio
36.74%
% 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 500 analyzed5,915
Combined Engagement
3,258
Total Likes
2,657
Total Retweets
1,183
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
80%
With Links
Topical Analysis:
RT @PitchingNinja: Megan Thee Stallion vs. José Ramírez https://t.co/amKGcy0VZj
Blue Jays Twitter if Yusei Kikuchi has a good start tonight and the Jays win https://t.co/qyY1Pi7F2Y
Words I never thought I’d say: I like Kevin Kiermaier
Matt Chapman's offensive contributions on the 2023 Blue Jays so far https://t.co/W45C8mTyiU
Waited months to watch Blue Jays ball and this is what we're treated to https://t.co/WZYX4X7Onl
Key Insights & Takeaways
The account frequently shares game-related updates and predictions, which likely drive engagement. Personal opinions on players like Kevin Kiermaier and Matt Chapman show a blend of fandom and critique. The use of GIFs adds a visual and entertaining element to the content.
Strengths
- + Established follower base of 10,809
- + 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 @JGoldberg12 reveals an growing Twitter presence with 10,809 followers. The account demonstrates a conversation-first approach, averaging 68.9 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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