Auntie Anne’s
CONFETTI NUGGETS ARE HERE!
88,233
Followers
21,968
Following
90,862
Tweets
72.7
Avg Engagement
714
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @AuntieAnnes'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:2009-04-27
- Verification:No
- Location:48 states and 25 countries
Data Summary
- Tweets Analyzed:3,230
- Avg Likes per Tweet:66.6
- Avg Retweets per Tweet:6.1
- Followers Analyzed:10,999
Engagement Analysis
Based on 3,230 tweetsAuntieAnnes's tweets receive a high number of likes and retweets, indicating strong audience interaction and interest.
66.6
Avg Likes/Tweet
6.1
Avg Retweets/Tweet
215,150
Total Likes
19,628
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
4
Median Likes
0
Median Retweets
55
75th Percentile
27,430
Top Tweet
0.82
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
33.9%
Original
61.4%
Replies
0.4%
Retweets
4.3%
Quotes
0.0%
Threads
0.1%
With Media
18.4%
With Links
1.8%
With #Tags
65.0%
With @Mentions
11.7%
With Emojis
63
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.81
Reply/Original Ratio
10.77
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
84.2%
Weekday Posts
15.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,230 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 13 retweets (0% 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 3,230 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 10,999 followersThe audience appears to be fans of pop culture, particularly Taylor Swift, and enjoys light-hearted, community-driven content.
Average
Audience Quality
26.7%
Suspicion Index
30.1%
Low-Quality %
27
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
40.3%
Empty Bio
29.0%
<10 Tweets
14.3%
Mass Following (>2K)
0.0%
New (<90 days)
57.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
83.6%
No URL
19.9%
<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.
15,074,766
Total Potential Reach
27
Median Follower Reach
139
75th Percentile Reach
4.7%
>1K followers
0.9%
>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).
48.7%
Creators
5,361 accounts
22.2%
Consumers
2,444 accounts
29.0%
Dormant
3,194 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):
137
Verified Followers
1.25% of total
940
Protected Accounts
8.55% 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 |
|---|---|---|---|
| 2,257,446 | Social Media Influencer | Dropping trends, gems, tweets | |
| @sherylunderwood | 1,321,746 | TV Host | Talk show, radio, sorority |
| @NYXCosmetics | 1,247,341 | Makeup Artist | Makeup, Artistry, Cruelty-free |
| @HyperX | 1,219,660 | Gaming | Gaming, Community, Support |
| @256GBMemes | 634,008 | Meme Creator | memes, phone, trolling |
| @DanceMomHolly | 548,024 | Educator | Dance, Education, Motherhood |
| @SlimJim | 513,470 | Snack Influencer | meat, long boi, champions |
| @LosPollosTV | 359,155 | Streamer | Gaming, Sniping, Twitch |
| @redbox | 282,537 | Entertainment | Movies, Tweeting, Entertainment |
| @eos | 270,677 | Social Media Manager | Crypto, Social Media, Nostalgia |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,569
Followers With Bio
4,430
Followers Without Bio
59.72%
% With Bio
40.28%
% 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 3,230 analyzed71,878
Combined Engagement
65,725
Total Likes
6,153
Total Retweets
14,376
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
60%
With @Mentions
0%
With Links
Topical Analysis:
see you all at midnight :,)
one month until new taylor swift album!!!! ms swift pls let us send u some pretzels
We're partnering with @Cashapp to give away $30,000 from 9am ET – 9pm ET for #NationalAuntieDay. Tell us why you need the dough using #NationalAuntieAnnesDay, #entry, tag @AuntieAnnes + include your $cashtag for a chance to win some serious dough.
@bassbutterflyyy We just opened one in Wylie, TX 🤠
@Baileymoon15 *puts on crown* 👸
Key Insights & Takeaways
The account frequently interacts with fans and celebrities, creating a sense of community. Content often includes excitement about new releases and events, which drives engagement. The use of emojis and casual language makes the account feel friendly and approachable.
Strengths
- + Established follower base of 88,233
- + 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 @AuntieAnnes reveals an growing Twitter presence with 88,233 followers. The account demonstrates a conversation-first approach, averaging 72.7 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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