San Diego Zoo Wildlife Alliance

San Diego Zoo Wildlife Alliance

@sandiegozoo

San Diego Zoo Wildlife Alliance is an international non-profit committed to inspiring passion for nature and creating a world where ✨ all ✨ life thrives.

San Diego, CA https://sandiegozoowildlifealliance.org/ Joined 2008-07-22 Date of Analysis: Dec 16, 2025

179,638

Followers

784

Following

22,174

Tweets

491.4

Avg Engagement

2,109

Listed

Yes

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @sandiegozoo'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:2008-07-22
  • Verification:Yes
  • Location:San Diego, CA

Data Summary

  • Tweets Analyzed:3,250
  • Avg Likes per Tweet:429.3
  • Avg Retweets per Tweet:62.2
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,250 tweets

The account consistently receives high average likes and retweets, indicating strong audience interaction. The use of humor and relatable content helps drive engagement and shares.

429.3

Avg Likes/Tweet

62.2

Avg Retweets/Tweet

1,395,135

Total Likes

202,022

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

51

Median Likes

9

Median Retweets

396

75th Percentile

162,859

Top Tweet

2.74

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

44.4%

Original

51.5%

Replies

3.2%

Retweets

1.0%

Quotes

0.0%

Threads

0.9%

With Media

61.4%

With Links

20.7%

With #Tags

55.0%

With @Mentions

32.5%

With Emojis

124

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

1.16

Reply/Original Ratio

0.3

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

83.0%

Weekday Posts

17.0%

Weekend Posts

Top Hashtags

#endextinction (42) #thezoosd (37) #caturday (36) #tonytuesday (14) #pandas4ever (12) #tongueouttuesday (9) #endangeredspeciesday (9) #aquademyawards (9) #dontapir (8) #fridayfeeling (7)

Most Mentioned

@sdzsafaripark (181) @twitch (48) @oregonzoo (36) @sandiegozoo (30) @animalplanet (30) @montereyaq (25) @metallica1331 (23) @zookeeperrick (23) @authenticpaint (17) @polarbears (12)

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 3,250 tweets

Content Type Distribution

Content Breakdown

Original Tweets 1,442 (44%)
Replies 1,674 (52%)
Retweets 103 (3%)
Quote Tweets 31 (1%)

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 103 retweets (3% 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 3,250 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 includes nature enthusiasts, animal lovers, and individuals interested in conservation efforts. The content appeals to both younger and older demographics, with a focus on visual and relatable posts.

Average

Audience Quality

24.1%

Suspicion Index

27.5%

Low-Quality %

41

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

36.9%

Empty Bio

24.9%

<10 Tweets

14.8%

Mass Following (>2K)

0.0%

New (<90 days)

50.7%

Low Ratio (<0.1)

0.0%

New (<180 days)

86.0%

No URL

18.2%

<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 Detector

Follower Reach & Influence

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

54,126,822

Total Potential Reach

41

Median Follower Reach

209

75th Percentile Reach

7.5%

>1K followers

0.9%

>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).

58.9%

Creators

29,448 accounts

16.2%

Consumers

8,082 accounts

24.9%

Dormant

12,470 accounts

450

Verified Followers

0.9% of total

6.1%

Professional Bios

founder, dev, analyst, etc.

0.1

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):

San Diego, CA (1,984) California, USA (602) United States (545) Los Angeles, CA (330) San Diego (282) USA (172) California (152) Chicago, IL (151) Texas, USA (125) Florida, USA (107)

612

Verified Followers

0.61% of total

13,148

Protected Accounts

13.02% of total

7 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 14,100,486 Wrestler Wrestling, Motivation, Self-promotion
@Interior 4,944,359 Government Official Conservation, Stewardship, Policy
@Wendys 3,908,518 Fast Food Fast food, fries, tweets
@Slash 3,585,389 Musician Music, Guitar, Rock
@AnimalPlanet 2,070,596 Entertainment Animals, Puppy Bowl, Discovery+
@Meghan_Trainor 1,987,488 Singer Music, Love, Collaboration
@SinghLions 1,333,812 Restaurateur Food, Travel, Influencer
@Cernovich 1,125,336 Author Hoaxed Movie, Cernovich Watch, Time
@funder 1,107,235 Journalist Politics, Journalism, Music
@kenjeong 1,009,225 Comedian Fart jokes, science, public health

Top Keywords in Follower Bios

love (3,852) life (2,421) lover (2,178) sheher (2,016) mom (1,976) san (1,560) music (1,394) diego (1,316) animal (1,266) world (1,252)

Top Hashtags in Follower Bios

#blm (242) #resist (182) #blacklivesmatter (164) #1 (106) #voteblue (81) #sandiego (66) #nature (51) #travel (47) #maga (45) #conservation (45)

57,647

Followers With Bio

43,349

Followers Without Bio

57.08%

% With Bio

42.92%

% 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 3,250 analyzed

519,392

Combined Engagement

473,971

Total Likes

45,421

Total Retweets

103,878

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

0%

With @Mentions

100%

With Links

Topical Analysis:

Wildlife Conservation Animal Welfare Nature Education Humor Engagement Storytelling

Key Insights & Takeaways

The account uses humor and relatable content to engage followers Visual and interactive tweets, such as those with links, drive higher engagement Consistent posting and a mix of educational and entertaining content keep the audience interested

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 179,638
  • + 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 @sandiegozoo reveals an well-established Twitter presence with 179,638 followers. The account demonstrates a conversation-first approach, averaging 491.4 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