Julia Davis
Columnist @TheDailyBeast, creator of the Russian Media Monitor, sanctioned by Russia, member of @TheEmmys. I watch Russian state TV, so you don't have to.
456,758
Followers
1,617
Following
116,374
Tweets
668.6
Avg Engagement
7,020
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @JuliaDavisNews'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:2010-01-16
- Verification:No
- Location:United States
Data Summary
- Tweets Analyzed:3,222
- Avg Likes per Tweet:321.6
- Avg Retweets per Tweet:347.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,222 tweetsJulia Davis's tweets typically receive a high level of engagement, with an average of 15,916 likes and 3,728 retweets per tweet. This indicates a strong and active community of followers who value her content.
321.6
Avg Likes/Tweet
347.0
Avg Retweets/Tweet
1,036,145
Total Likes
1,118,017
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
47
Median Retweets
351
75th Percentile
99,325
Top Tweet
1.46
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
8.3%
Original
29.9%
Replies
57.9%
Retweets
3.9%
Quotes
0.0%
Threads
0.2%
With Media
34.2%
With Links
2.2%
With #Tags
86.1%
With @Mentions
14.0%
With Emojis
109
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
3.62
Reply/Original Ratio
0.07
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
72.3%
Weekday Posts
27.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,222 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 1,867 retweets (58% 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 3,222 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 followersHer audience includes individuals interested in international news, politics, and media analysis. Many followers are likely engaged with current events and Russian geopolitical dynamics.
Average
Audience Quality
24.5%
Suspicion Index
33.6%
Low-Quality %
30
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
49.0%
Empty Bio
25.5%
<10 Tweets
10.1%
Mass Following (>2K)
0.0%
New (<90 days)
50.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.6%
No URL
18.3%
<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.
46,565,808
Total Potential Reach
30
Median Follower Reach
172
75th Percentile Reach
8.3%
>1K followers
1.1%
>10K followers
0.2%
>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).
57.5%
Creators
28,750 accounts
17.0%
Consumers
8,513 accounts
25.5%
Dormant
12,737 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):
1,552
Verified Followers
1.55% of total
8,355
Protected Accounts
8.36% of total
7 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 | 14,104,449 | Wrestler | Wrestling, Motivation, Self-promotion |
| @StationCDRKelly | 5,270,421 | Astronaut | Space, Endurance, Stars |
| @Leonardo_Padron | 2,996,008 | Writer | Escritor, Instagram, Literatura |
| @jeremypiven | 2,176,145 | Actor | acting, comedy, sports |
| @TeamYouTube | 1,615,323 | Support | support, education, updates |
| @rianjohnson | 1,064,240 | Director | Movies, Mystery, Sleuthing |
| @Podolyak_M | 1,034,224 | Adviser | Politics, Adviser, Ukraine |
| @Reportero24 | 945,826 | - | - |
| @TerryMoran | 924,532 | Journalist | News, National, Correspondent |
| @Haqeeqat_TV | 882,613 | Media Personality | Pakistan, YouTube, News |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
50,103
Followers With Bio
49,897
Followers Without Bio
50.1%
% With Bio
49.9%
% 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 3,222 analyzed253,994
Combined Engagement
44,524
Total Likes
209,470
Total Retweets
50,799
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
60%
With @Mentions
80%
With Links
Topical Analysis:
RT @POTUS: I just want to make a few things clear: The Holocaust happened. Hitler was a demonic figure. And instead of giving it a…
RT @POTUS: Moments ago I spoke to Brittney Griner. She is safe. She is on a plane. She is on her way home. https://t.co/FmHgfzrcDT
RT @TIME: TIME's 2022 Person of the Year: Volodymyr Zelensky and the spirit of Ukraine #TIMEPOY https://t.co/06Y5fuc0fG https://t.co/i8ZT3d…
Meanwhile in Russia: lots of long faces in the studio. https://t.co/HRyNFU03pq
During Russia's New Year special on state TV, they openly addressed the West to say, "Like it or not, Russia is enlarging!" The rest of the clip should give you a general idea as to the mood in the studio. https://t.co/EcBxhEabS0
Key Insights & Takeaways
Her content often highlights the contrast between Russian state narratives and international perspectives. She provides a unique perspective by analyzing Russian state TV, offering insights that many followers might not have access to. Her tweets frequently include clips and commentary that reveal the internal dynamics and contradictions within Russian media.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 456,758
- + 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 @JuliaDavisNews reveals an well-established Twitter presence with 456,758 followers. The account demonstrates a conversation-first approach, averaging 668.6 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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