DHL Stormers

DHL Stormers

@THESTORMERS

Official Twitter page of the #DHLStormers. #iamastormer

Cape Town, South Africa https://t.co/eToaOa07HG Joined 2009-05-08 Date of Analysis: Dec 16, 2025

277,978

Followers

695

Following

18,543

Tweets

47.7

Avg Engagement

858

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @THESTORMERS'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:2009-05-08
  • Verification:No
  • Location:Cape Town, South Africa

Data Summary

  • Tweets Analyzed:3,249
  • Avg Likes per Tweet:40.0
  • Avg Retweets per Tweet:7.7
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,249 tweets

The account maintains a consistent level of engagement with average likes and retweets, indicating a loyal and active fan base. The use of hashtags and links enhances interaction and visibility.

40.0

Avg Likes/Tweet

7.7

Avg Retweets/Tweet

129,935

Total Likes

25,170

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

19

Median Likes

3

Median Retweets

53

75th Percentile

2,579

Top Tweet

0.17

Engagement per 1K Followers

Normalized influence metric

Long Tail

Engagement Pattern

Mix of hits and regular posts

Posting Behavior

Content style and format preferences

Broadcaster

Primarily shares original content

72.6%

Original

5.2%

Replies

17.9%

Retweets

4.3%

Quotes

0.0%

Threads

0.2%

With Media

67.8%

With Links

81.5%

With #Tags

62.2%

With @Mentions

42.9%

With Emojis

185

Avg Length

Audience Reaction Profile

Broadcast

Focuses on original content over replies

0.07

Reply/Original Ratio

0.24

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

58.5%

Weekday Posts

41.5%

Weekend Posts

Top Hashtags

#iamastormer (2178) #dhldelivers (2041) #urc (1097) #thefaithful (103) #bulvsto (76) #shavsto (71) #stovlio (68) #stovbul (65) #liovsto (52) #stovsha (50)

Most Mentioned

@vodacom (962) @thestormers (313) @urcofficial (172) @championscup (107) @dhlafrica (71) @wp_rugby (71) @brightrockza (71) @vodacomrugga (64) @springboks (62) @urcofficial_rsa (54)

Want This Report as PDF?

We're building PDF export for these analytics reports. Register your interest to get early access.

Register Interest

Content Strategy Analysis

Based on 3,249 tweets

Content Type Distribution

Content Breakdown

Original Tweets 2,360 (73%)
Replies 168 (5%)
Retweets 582 (18%)
Quote Tweets 139 (4%)

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 582 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 3,249 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 rugby fans, especially those supporting the Stormers, as well as potential new members joining the fan base. The content is tailored to engage and inspire loyalty among sports enthusiasts.

Average

Audience Quality

32.1%

Suspicion Index

44.0%

Low-Quality %

13

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

51.9%

Empty Bio

48.9%

<10 Tweets

8.6%

Mass Following (>2K)

0.0%

New (<90 days)

59.9%

Low Ratio (<0.1)

0.0%

New (<180 days)

93.3%

No URL

36.1%

<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 Detector

Follower Reach & Influence

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

38,628,646

Total Potential Reach

13

Median Follower Reach

77

75th Percentile Reach

3.9%

>1K followers

0.4%

>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).

30.2%

Creators

15,078 accounts

20.9%

Consumers

10,454 accounts

48.9%

Dormant

24,468 accounts

82

Verified Followers

0.16% of total

3.6%

Professional Bios

founder, dev, analyst, etc.

0.07

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):

Cape Town, South Africa (2,145) South Africa (1,995) Johannesburg, South Africa (882) Cape Town (520) Pretoria, South Africa (481) Durban, South Africa (325) Port Elizabeth, South Africa (276) East London, South Africa (181) Bloemfontein, South Africa (170) Johannesburg (144)

98

Verified Followers

0.1% of total

5,988

Protected Accounts

5.99% of total

6 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 14,101,989 Wrestler Wrestling, Motivation, Self-promotion
@BeatsByAssassin 2,263,722 Multitalented Actor, Director, Rapper
@GraemeSmith49 1,476,761 Cricketer South Africa, Cricket, Leadership
@soledadobrien 1,318,136 Journalist working, mom, journalist
@SABreakingNews 950,634 News Outlet News, South Africa, Breaking
@AxieInfinity 878,793 Gaming Battle, Collect, Earn
@SamHeughan 750,959 Actor Scotland, Whisky, Fitness
@Abramjee 714,433 Consultant Crime Watch, Social Cohesion, Tax Justice
@IOL 659,496 News Outlet News, Change, Stories
@263Chat 577,413 Media Organization Zimbabwe, Media, National dialogue

Top Keywords in Follower Bios

rugby (3,101) love (2,885) life (2,361) sport (2,126) music (1,851) god (1,616) news (1,383) sports (1,267) entertainment (1,216) south (1,013)

Top Hashtags in Follower Bios

#rugby (65) #mufc (35) #ynwa (35) #1 (25) #lfc (20) #springboks (18) #ggmu (14) #love (14) #loverugby (14) #i (13)

38,932

Followers With Bio

61,068

Followers Without Bio

38.93%

% With Bio

61.07%

% 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.

Buy Follower Data

Export full follower list with profile details, bios, locations, and follower counts as CSV.

Buy Followers - from $15

Buy Tweet Data

Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.

Buy Tweets - from $15

Viral Tweets

Top 5 by likes+RTs from 3,249 analyzed

7,242

Combined Engagement

6,360

Total Likes

882

Total Retweets

1,448

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

80%

With Hashtags

80%

With @Mentions

80%

With Links

Topical Analysis:

Community Engagement Team Success Fan Interaction

Key Insights & Takeaways

The account prioritizes community building by welcoming new fans and celebrating team achievements. It leverages hashtags like #iamastormer and #dhldelivers to reinforce brand identity and fan connection. The inclusion of links suggests a focus on driving traffic to official channels or events.

Strengths

  • + Established follower base of 277,978
  • + 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 @THESTORMERS reveals an growing Twitter presence with 277,978 followers. The account demonstrates a content-creator strategy, averaging 47.7 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.

Need Programmatic Access?

We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.

Register Interest for API Access

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