Maitland Ward Baxter
AVN Best Lead Actress / XBIZ POTY 🏆@Simonschuster/@atriabooks Best Selling Author 📚 @newleafliterary✍🏻 @Fleshlight 🔦
602,909
Followers
5,089
Following
18,722
Tweets
1,934.3
Avg Engagement
2,106
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MaitlandWard'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:2010-03-31
- Verification:No
- Location:Hollywood/NYC/On an airplane
Data Summary
- Tweets Analyzed:3,240
- Avg Likes per Tweet:1,777.7
- Avg Retweets per Tweet:156.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,240 tweetsHer tweets receive a high average number of likes and retweets, showing strong audience interaction and interest.
1,777.7
Avg Likes/Tweet
156.7
Avg Retweets/Tweet
5,759,687
Total Likes
507,586
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
12
Median Likes
17
Median Retweets
885
75th Percentile
30,606
Top Tweet
3.21
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
28.7%
Original
46.3%
Replies
23.4%
Retweets
1.6%
Quotes
0.0%
Threads
0.5%
With Media
41.2%
With Links
6.8%
With #Tags
80.1%
With @Mentions
72.7%
With Emojis
90
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.61
Reply/Original Ratio
0.07
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.2%
Weekday Posts
25.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,240 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 758 retweets (23% 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 3,240 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 likely includes fans of her acting career, readers of her books, and followers of her personal brand.
Below Average
Audience Quality
38.0%
Suspicion Index
56.3%
Low-Quality %
22
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
68.5%
Empty Bio
55.4%
<10 Tweets
10.9%
Mass Following (>2K)
0.0%
New (<90 days)
68.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.7%
No URL
44.2%
<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.
22,083,244
Total Potential Reach
22
Median Follower Reach
54
75th Percentile Reach
1.9%
>1K followers
0.4%
>10K followers
0.1%
>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).
26.3%
Creators
13,149 accounts
18.3%
Consumers
9,131 accounts
55.4%
Dormant
27,720 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):
276
Verified Followers
0.27% of total
23,173
Protected Accounts
22.94% of total
3 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 | 1,990,229 | Sports Bettor | Fantasy Sports, Sports Betting, Podcast |
| @violetsaucy | 1,764,169 | Adult Entertainer | Anime, Gaming, Modeling |
| @MilesSTEREOS | 861,619 | Musician | Guitarist, Writer, Producer |
| @subgirl0831 | 845,841 | Content Creator | Buffalo Bills, Gym, Twitch |
| @ZachBoychuk | 829,848 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @thejessicadrake | 803,876 | Adult Film Star | sex, wicked, onlyfans |
| @reislin_model_ | 765,286 | Adult Entertainer | Adult Content, Awards, Amateur |
| @savannahbondxxx | 695,537 | - | - |
| @theemmamag | 651,295 | Adult entertainer | deleted, backup, squirt |
| @alexasmorganx | 633,033 | Content Creator | OnlyFans, Modeling, Fitness |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
33,402
Followers With Bio
67,594
Followers Without Bio
33.07%
% With Bio
66.93%
% 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 3,240 analyzed130,848
Combined Engagement
119,035
Total Likes
11,813
Total Retweets
26,170
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
This is me walking up to your door 😏 https://t.co/o3gKIY9bXq
Who needs air bags? https://t.co/Uv4CkTtn80
Happy Sunday 🍈🍈 https://t.co/tRN6QuK84Z
Kool-Aid 💜 https://t.co/Brld2QpVHZ
Homebody 💙 https://t.co/UumGftSZn9
Key Insights & Takeaways
She leverages her personal brand and achievements to maintain engagement. Her content often includes personal and lifestyle elements, which resonate with her audience. She uses a mix of humor and self-promotion to keep her followers engaged.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 602,909
- + 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 @MaitlandWard reveals an exceptionally influential Twitter presence with 602,909 followers. The account demonstrates a conversation-first approach, averaging 1,934.3 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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