Natalee Harris💕
MTV 😁
194,311
Followers
3,940
Following
2,931
Tweets
116.7
Avg Engagement
152
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @NataleeValleys'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:2012-05-22
- Verification:No
- Location:Wales, United Kingdom
Data Summary
- Tweets Analyzed:2,146
- Avg Likes per Tweet:7.2
- Avg Retweets per Tweet:109.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 2,146 tweetsHer tweets receive moderate engagement, with an average of 235 likes and 14 retweets per post.
7.2
Avg Likes/Tweet
109.5
Avg Retweets/Tweet
15,519
Total Likes
234,956
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
6
75th Percentile
93,466
Top Tweet
0.6
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
29.6%
Original
40.6%
Replies
25.6%
Retweets
4.2%
Quotes
0.0%
Threads
0.2%
With Media
33.0%
With Links
21.2%
With #Tags
68.9%
With @Mentions
36.9%
With Emojis
76
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.37
Reply/Original Ratio
0.17
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
82.0%
Weekday Posts
18.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,146 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 549 retweets (26% 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 2,146 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 followers are likely young adults interested in entertainment and self-expression.
Average
Audience Quality
23.2%
Suspicion Index
36.5%
Low-Quality %
46
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
55.0%
Empty Bio
29.2%
<10 Tweets
6.2%
Mass Following (>2K)
0.0%
New (<90 days)
39.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.2%
No URL
17.9%
<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.
76,365,173
Total Potential Reach
46
Median Follower Reach
146
75th Percentile Reach
3.0%
>1K followers
0.7%
>10K followers
0.3%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
43.3%
Creators
21,634 accounts
27.5%
Consumers
13,751 accounts
29.2%
Dormant
14,615 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):
61
Verified Followers
0.06% of total
14,229
Protected Accounts
14.09% of total
10 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 | 14,100,028 | Wrestler | Wrestling, Motivation, Self-promotion |
| @cometaorg | 7,803,677 | - | - |
| @GordonRamsay | 7,695,967 | Chef | Cooking, Food, Restaurants |
| @DJPaulyD | 3,599,772 | DJ | Music, DJing, Booking |
| @MrPeterAndre | 3,088,355 | Entertainer | Family, Music, Television |
| @Variety | 2,911,164 | Entertainment industry | Entertainment, Business, Variety |
| @BeatsByAssassin | 2,261,933 | Multitalented | Actor, Director, Rapper |
| @JamesArthur23 | 2,058,141 | Singer | Music, Singer, Songwriter |
| @6BillionPeople | 2,033,733 | - | - |
| @VickyPattison | 1,808,493 | Reality TV Star | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
46,227
Followers With Bio
54,772
Followers Without Bio
45.77%
% With Bio
54.23%
% 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 2,146 analyzed169,303
Combined Engagement
0
Total Likes
169,303
Total Retweets
33,861
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @baileyyjayee: I’ve cried from laughing each time I’ve watched this video 😂 the way he shakes him at the end 😭😂 https://t.co/6HmZnYNSwe
RT @ItsMe_NeNe_: that one grain of loyalty sent me🤣🤣🤣🤣 https://t.co/WrWKapsuMU
RT @uhhnani_: proof that right person, wrong time is a thing. we didn’t work out freshman year, broke up, grew up, & came back together whe…
RT @PoliceWarr: We have attended reports of a group of youths coughing at NHS staff stating they have Coronavirus. The youths will be pros…
RT @susannareid100: BREAKING: @piersmorgan offers to pay the parking tickets of any NHS health worker who gets fined during this crisis. Sa…
Key Insights & Takeaways
She addresses body image concerns and the impact of media on young girls. She uses personal anecdotes to connect with her audience. Her content often blends humor with heartfelt messages.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 194,311
- + 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 @NataleeValleys reveals an well-established Twitter presence with 194,311 followers. The account demonstrates a conversation-first approach, averaging 116.7 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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