Jake from State Farm
Good neighbor vibes only ✌🏽 Follow me on my other socials 👇🏽
88,377
Followers
1
Following
29,591
Tweets
132.3
Avg Engagement
189
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @JakeStateFarm'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:2013-02-22
- Verification:No
- Location:Bloomington, IL
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:125.3
- Avg Retweets per Tweet:7.0
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,249 tweetsThe account consistently receives high likes and retweets, indicating strong audience interaction and interest in the content.
125.3
Avg Likes/Tweet
7.0
Avg Retweets/Tweet
406,995
Total Likes
22,840
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
0
Median Retweets
26
75th Percentile
56,662
Top Tweet
1.5
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
22.7%
Original
74.7%
Replies
0.6%
Retweets
2.0%
Quotes
0.0%
Threads
1.2%
With Media
21.4%
With Links
19.7%
With #Tags
82.3%
With @Mentions
39.0%
With Emojis
62
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
3.29
Reply/Original Ratio
3.67
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
90.2%
Weekday Posts
9.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,249 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 18 retweets (1% 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 3,249 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 10,000 followersThe audience appears to be primarily interested in lifestyle, humor, and brand-related content, with a focus on younger demographics.
Good
Audience Quality
18.5%
Suspicion Index
18.0%
Low-Quality %
28
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
24.7%
Empty Bio
18.8%
<10 Tweets
5.9%
Mass Following (>2K)
0.0%
New (<90 days)
49.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
84.2%
No URL
11.3%
<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.
2,410,023
Total Potential Reach
28
Median Follower Reach
82
75th Percentile Reach
2.5%
>1K followers
0.2%
>10K followers
0.0%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
58.6%
Creators
5,858 accounts
22.6%
Consumers
2,260 accounts
18.8%
Dormant
1,882 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):
65
Verified Followers
0.65% of total
993
Protected Accounts
9.93% of total
2 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 |
|---|---|---|---|
| @JaylaPage10 | 434,270 | Influencer | astrology, bay area, unproblematic |
| @Jamalhinton12 | 146,373 | Influencer | Thanksgiving, BlackMP, Water |
| @GoldenboyFTW | 142,791 | Esports Commentator | Esports, Gaming, Commentating |
| @piinkpunanii | 75,905 | Content Creator | Girlfriend, Pansexual, Creator |
| @montanaa_m | 39,485 | - | - |
| @SH4KIR4 | 35,397 | - | - |
| @thatssuncle_don | 31,809 | - | - |
| @rekkadraws_ | 30,447 | - | - |
| @fighthubtv39 | 26,697 | - | - |
| @DEEDOUBLEYOU___ | 25,914 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,528
Followers With Bio
2,472
Followers Without Bio
75.28%
% With Bio
24.72%
% 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 3,249 analyzed184,389
Combined Engagement
179,419
Total Likes
4,970
Total Retweets
36,878
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
Putting in work for all the State Farm good neighbors out there 💪🏽 https://t.co/XigJoWpKAR
When Jake from State Farm sees you buying jeans instead of khakis 😳 https://t.co/Vdb9Z4l0KD
When in doubt, wear khakis and red. https://t.co/iTgjv1XIMA
Pick a good vibe. Any good vibe. https://t.co/kVhJ8uivBj
My latest piece really speaks to me. Mainly, it says "woof." https://t.co/zlF0iE98Fb
Key Insights & Takeaways
The content often blends humor with brand messaging, making it relatable and engaging. The use of emojis and casual language helps create a friendly and approachable tone. The account effectively leverages personal anecdotes to connect with followers.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 88,377
- + 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 @JakeStateFarm reveals an well-established Twitter presence with 88,377 followers. The account demonstrates a conversation-first approach, averaging 132.3 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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