Jon Favreau
The other one. @PodSaveAmerica, @CrookedMedia, https://t.co/mKXKFl0EF4, https://crooked.com/podcast-series/the-wilderness/
1,403,296
Followers
1,696
Following
15,942
Tweets
1,598.2
Avg Engagement
10,802
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @jonfavs'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: Mega Influencer (1M+)
- Account Age:2010-04-07
- Verification:No
- Location:Los Angeles, CA
Data Summary
- Tweets Analyzed:3,209
- Avg Likes per Tweet:661.9
- Avg Retweets per Tweet:936.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,209 tweetsJonfavs' tweets receive high engagement, with an average of 60,563 likes and 6,130 retweets per tweet, indicating strong audience interaction.
661.9
Avg Likes/Tweet
936.3
Avg Retweets/Tweet
2,124,086
Total Likes
3,004,597
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
32
Median Retweets
625
75th Percentile
407,973
Top Tweet
1.14
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
11.7%
Original
21.9%
Replies
53.9%
Retweets
12.5%
Quotes
0.0%
Threads
0.0%
With Media
34.6%
With Links
7.2%
With #Tags
81.4%
With @Mentions
3.1%
With Emojis
134
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.87
Reply/Original Ratio
0.23
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
78.7%
Weekday Posts
21.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,209 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 1,730 retweets (54% 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 3,209 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 followersTheir audience is primarily politically engaged individuals, likely leaning liberal, given the nature of their content and affiliated accounts.
Average
Audience Quality
25.3%
Suspicion Index
33.1%
Low-Quality %
34
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
46.9%
Empty Bio
26.5%
<10 Tweets
11.6%
Mass Following (>2K)
0.0%
New (<90 days)
52.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.2%
No URL
19.2%
<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.
58,076,026
Total Potential Reach
34
Median Follower Reach
168
75th Percentile Reach
7.3%
>1K followers
1.0%
>10K followers
0.3%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
55.0%
Creators
27,511 accounts
18.5%
Consumers
9,238 accounts
26.5%
Dormant
13,251 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):
1,487
Verified Followers
1.49% of total
11,361
Protected Accounts
11.36% of total
6 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 | 14,105,049 | Wrestler | Wrestling, Motivation, Self-promotion |
| @carmeloanthony | 9,197,752 | Basketball Player | Basketball, Fashion, Philanthropy |
| @BenStiller | 5,608,100 | Actor | UNHCR, Goodwill Ambassador, Refugees |
| @ReeseW | 2,977,321 | Actress | Acting, Producing, Activism |
| @m_ebrard | 2,631,416 | Diplomat | Diplomacy, Politics, International Relations |
| @biz | 2,609,452 | Entrepreneur | technology, entrepreneurship, philanthropy |
| @KennyHamilton | 1,793,128 | Manager | Music, Management, Entertainment |
| @shirtsthtgohard | 1,411,200 | Fashion Influencer | shirts, designs, creators |
| @Lesdoggg | 1,402,761 | Comedian | Comedy, Stand-up, Actress |
| @alfranken | 1,193,065 | Politician | Politics, Minnesota, Democrat |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
55,147
Followers With Bio
44,853
Followers Without Bio
55.15%
% With Bio
44.85%
% 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 3,209 analyzed955,724
Combined Engagement
181,509
Total Likes
774,215
Total Retweets
191,145
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
60%
With Links
Topical Analysis:
RT @Schwarzenegger: I love the Russian people. That is why I have to tell you the truth. Please watch and share. https://t.co/6gyVRhgpFV
RT @WhiteHouse: Congresswoman Marjorie Taylor Greene had $183,504 in PPP loans forgiven. https://t.co/4FoCymt8TB
RT @GavinNewsom: Abortion is legal in California. It will remain that way. I just signed a bill that makes our state a safe haven for wom…
Can’t believe we’re doing this shit again
Oh no he self-doxxed https://t.co/W6X17epkGN
Key Insights & Takeaways
High engagement suggests a loyal and active audience interested in political content. Content often includes strong reactions to political events, indicating a passionate stance. Affiliation with media outlets like PodSaveAmerica and CrookedMedia shapes the tone and direction of their tweets.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,403,296
- + 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 @jonfavs reveals an exceptionally influential Twitter presence with 1,403,296 followers. The account demonstrates a conversation-first approach, averaging 1,598.2 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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