Andrea Brooks
175,072
Followers
8,605
Following
26,620
Tweets
1,705.0
Avg Engagement
982
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @AndreasChoice'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:2009-03-04
- Verification:No
- Location:Los Angeles, CA
Data Summary
- Tweets Analyzed:2,947
- Avg Likes per Tweet:15.4
- Avg Retweets per Tweet:1,689.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 2,947 tweetsThe account maintains a steady level of engagement, suggesting a loyal and active follower base interested in entertainment and lifestyle content.
15.4
Avg Likes/Tweet
1,689.6
Avg Retweets/Tweet
45,518
Total Likes
4,979,122
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
2
Median Retweets
31
75th Percentile
243,621
Top Tweet
9.74
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
45.0%
Original
37.3%
Replies
17.7%
Retweets
0.0%
Quotes
0.0%
Threads
1.0%
With Media
29.5%
With Links
9.2%
With #Tags
58.8%
With @Mentions
17.2%
With Emojis
64
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.83
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
76.9%
Weekday Posts
23.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,947 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This is a content-creator focused account that primarily shares original thoughts, ideas, and media. With original content dominating their feed, they position themselves as a source of new information rather than a curator. This strategy works well for establishing thought leadership.
The 522 retweets (18% 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 2,947 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 followersThe audience likely includes fans of entertainment content, nostalgia-driven posts, and followers of popular creators like Bethany Mota and Shane Dawson.
Good
Audience Quality
19.4%
Suspicion Index
25.8%
Low-Quality %
45
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
38.0%
Empty Bio
22.9%
<10 Tweets
8.8%
Mass Following (>2K)
0.0%
New (<90 days)
35.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
81.1%
No URL
13.6%
<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.
151,005,360
Total Potential Reach
45
Median Follower Reach
201
75th Percentile Reach
5.4%
>1K followers
1.0%
>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).
54.6%
Creators
27,307 accounts
22.5%
Consumers
11,268 accounts
22.9%
Dormant
11,425 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):
173
Verified Followers
0.17% of total
15,719
Protected Accounts
15.72% of total
9 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 |
|---|---|---|---|
| @justinbieber | 112,988,384 | Singer | Music, Justice, Album |
| @JohnCena | 14,100,424 | Wrestler | Wrestling, Motivation, Self-promotion |
| @TreySongz | 13,416,366 | Singer | Music, R&B, Homecoming |
| @AustinMahone | 8,844,196 | Singer | music, fashion, travel |
| @GordonRamsay | 7,695,862 | Chef | Cooking, Food, Restaurants |
| @bretmanrock | 5,532,382 | Influencer | Makeup, Fashion, Comedy |
| @Lilly | 5,250,609 | Unknown | Fun, Lilly, Having |
| @lifeaseva | 4,560,024 | Influencer | sustainability, energy, lifestyle |
| @pokimanelol | 4,273,703 | Streamer | gaming, streaming, content creation |
| @MatthewEspinosa | 3,746,506 | Actor | Acting, Writing, Podcasting |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
60,972
Followers With Bio
39,028
Followers Without Bio
60.97%
% With Bio
39.03%
% 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 2,947 analyzed1,116,158
Combined Engagement
0
Total Likes
1,116,158
Total Retweets
223,232
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @landon_hanna: So, you’re sick of isolation? https://t.co/FaYs6i5Fpm
RT @DareBear1226: This could literally save a life. Save a family. My god https://t.co/fNjAykt5NH
RT @arifakeasmile: please share! https://t.co/ErFaTAITuk
RT @TheElleyy: It costs $0.00 to retweet & help me grow my small business Crochet sweater handmade by me🥺💕 https://t.co/EgBZXxsmMW
RT @Travon: They've been treated like they treat black people for two weeks and they're having a mental breakdown.
Key Insights & Takeaways
The user frequently references popular creators and nostalgic moments, indicating a focus on relatability and fan interaction. Collaborations with influencers like Shane Dawson suggest an interest in expanding reach and engaging with broader audiences. The use of links in tweets points to a strategy of directing followers to external content or videos.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 175,072
- + Strong original content creation
- + 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 @AndreasChoice reveals an exceptionally influential Twitter presence with 175,072 followers. The account demonstrates a content-creator strategy, averaging 1,705.0 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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