Bates Motel on A&E

Bates Motel on A&E

@InsideBates

The official Twitter account of #BatesMotel on @AETV | Seasons 1-4 available on iTunes, Amazon, & Netflix

White Pine Bay https://t.co/vYmORLOBXD Joined 2012-09-27 Date of Analysis: Dec 16, 2025

148,077

Followers

1,618

Following

15,369

Tweets

169.8

Avg Engagement

604

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @InsideBates'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:2012-09-27
  • Verification:No
  • Location:White Pine Bay

Data Summary

  • Tweets Analyzed:3,187
  • Avg Likes per Tweet:99.5
  • Avg Retweets per Tweet:70.2
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,187 tweets

The account achieves moderate engagement with an average of 3,230 likes and 2,061 retweets per tweet. Its content is highly shareable, particularly around promotional material and final season updates.

99.5

Avg Likes/Tweet

70.2

Avg Retweets/Tweet

317,246

Total Likes

223,850

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

3

Median Likes

1

Median Retweets

60

75th Percentile

10,734

Top Tweet

1.15

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

17.2%

Original

71.0%

Replies

11.7%

Retweets

0.1%

Quotes

0.0%

Threads

0.1%

With Media

26.5%

With Links

55.3%

With #Tags

85.9%

With @Mentions

2.3%

With Emojis

73

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

4.12

Reply/Original Ratio

0.01

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

81.4%

Weekday Posts

18.6%

Weekend Posts

Top Hashtags

#batesmotel (1721) #sdcc (25) #freddiehighmore (17) #batesmotelfinale (15) #thefinalcheckout (12) #sponsored (9) #ad (6) #psycho (6) #dylemma (5) #marioncrane (4)

Most Mentioned

@insidebates (204) @verafarmiga (126) @kerryehrin (117) @carbonellnestor (95) @thekennyjohnson (46) @carltoncuse (41) @maxthieriot (39) @rihanna (38) @rambodonkeykong (36) @iam_brookesmith (34)

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Content Strategy Analysis

Based on 3,187 tweets

Content Type Distribution

Content Breakdown

Original Tweets 549 (17%)
Replies 2,263 (71%)
Retweets 372 (12%)
Quote Tweets 3 (0%)

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 372 retweets (12% 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 3,187 tweets

Engagement 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 followers

The primary audience consists of fans of the show and viewers interested in crime and psychological thrillers. The account also targets potential new viewers looking for information on where to watch the series.

Good

Audience Quality

17.7%

Suspicion Index

22.4%

Low-Quality %

73

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

35.5%

Empty Bio

15.6%

<10 Tweets

12.3%

Mass Following (>2K)

0.0%

New (<90 days)

33.5%

Low Ratio (<0.1)

0.0%

New (<180 days)

84.4%

No URL

9.3%

<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.

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Follower Reach & Influence

This account's followers have their own audiences, creating potential for secondary amplification.

68,454,516

Total Potential Reach

73

Median Follower Reach

283

75th Percentile Reach

7.9%

>1K followers

0.7%

>10K followers

0.2%

>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).

66.7%

Creators

33,373 accounts

17.6%

Consumers

8,814 accounts

15.6%

Dormant

7,813 accounts

115

Verified Followers

0.23% of total

4.3%

Professional Bios

founder, dev, analyst, etc.

0.17

Median Follow Ratio

follower/following

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):

United States (521) Los Angeles, CA (259) Brasil (258) California, USA (211) São Paulo, Brasil (195) Brazil (185) Sao Paulo, Brazil (178) Canada (175) México (150) Texas, USA (149)

207

Verified Followers

0.2% of total

17,453

Protected Accounts

17.28% 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
@netflix 21,795,766 Entertainment Cardi B, Netflix, Petition
@JohnCena 14,101,602 Wrestler Wrestling, Motivation, Self-promotion
@IGN 9,709,236 Entertainment video games, movies, TV
@RottenTomatoes 2,399,331 Movie critic Movies, TV shows, Reviews
@younghollywood 2,296,640 Entertainment Celebrities, Entertainment, Pop Culture
@BeatsByAssassin 2,261,306 Multitalented Actor, Director, Rapper
@6BillionPeople 2,033,196 - -
@foleyispod 1,974,780 - -
@KameronBennett 1,823,301 DJ Music, DJing, Booking
@ObispoPascal 1,707,414 Singer Music, Album, Vinyl

Top Keywords in Follower Bios

love (5,551) life (3,629) music (2,399) lover (1,844) mom (1,454) tv (1,239) follow (1,221) live (1,180) world (1,173) things (1,055)

Top Hashtags in Follower Bios

#blacklivesmatter (125) #1 (102) #blm (82) #batesmotel (81) #twd (73) #music (61) #resist (61) #horror (51) #thewalkingdead (50) #maga (44)

63,203

Followers With Bio

37,794

Followers Without Bio

62.58%

% With Bio

37.42%

% 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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Viral Tweets

Top 5 by likes+RTs from 3,187 analyzed

40,542

Combined Engagement

17,996

Total Likes

22,546

Total Retweets

8,108

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

80%

With Hashtags

80%

With @Mentions

100%

With Links

Topical Analysis:

Promotion Television Fan Engagement Crime Thriller Streaming Platforms Emotional Storytelling

Key Insights & Takeaways

The account focuses heavily on promotional content for the final season of #BatesMotel. It uses emotional and dramatic language to connect with fans, such as referencing Norman Bates' relationship with his mother. The account leverages trending hashtags and links to drive traffic to the show's broadcast and streaming availability.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 148,077
  • + 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 @InsideBates reveals an well-established Twitter presence with 148,077 followers. The account demonstrates a conversation-first approach, averaging 169.8 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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About This Analysis: This analysis is based on a snapshot of followers, following, and recent tweets. It evaluates structure, quality, and behavior, not historical growth. Metrics like growth rate, momentum, churn, or spike analysis require time-series data which is not available from a single snapshot.

Data collected and analyzed by twtData | Analysis date: Dec 16, 2025