WISH-TV

WISH-TV

@WISH_TV

News headlines and information for Indianapolis & Central Indiana.

Indianapolis, Indiana https://www.wishtv.com/ Joined 2008-09-14 Date of Analysis: Dec 16, 2025

226,060

Followers

1,795

Following

317,606

Tweets

9.6

Avg Engagement

1,493

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @WISH_TV'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:2008-09-14
  • Verification:No
  • Location:Indianapolis, Indiana

Data Summary

  • Tweets Analyzed:3,250
  • Avg Likes per Tweet:3.0
  • Avg Retweets per Tweet:6.6
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,250 tweets

On average, tweets receive around 156 likes and 25 retweets, indicating a moderate level of audience interaction. The engagement appears to be consistent across the account's content.

3.0

Avg Likes/Tweet

6.6

Avg Retweets/Tweet

9,713

Total Likes

21,588

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

1

Median Likes

1

Median Retweets

5

75th Percentile

5,401

Top Tweet

0.04

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

65.8%

Original

0.2%

Replies

32.2%

Retweets

1.8%

Quotes

0.0%

Threads

0.7%

With Media

77.3%

With Links

7.0%

With #Tags

44.3%

With @Mentions

7.1%

With Emojis

168

Avg Length

Audience Reaction Profile

Broadcast

Focuses on original content over replies

0.0

Reply/Original Ratio

0.06

Quote/RT Ratio

Posting Rhythm

Somewhat Bursty

Occasional posting spikes

82.5%

Weekday Posts

17.5%

Weekend Posts

Top Hashtags

#inwx (43) #purdue (32) #thezoneextra (26) #marchmadness (21) #indianapolis (19) #colts (14) #trafficalert (12) #boilerup (10) #iu (9) #breaking (5)

Most Mentioned

@wish_tv (222) @adchernoff (170) @garrettbnews (140) @marcusbailey (99) @ryanmorsewx (69) @acwishtv (67) @sidelinestormer (62) @stormtrack8 (50) @nwsindianapolis (49) @stephmeadwx (48)

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Content Strategy Analysis

Based on 3,250 tweets

Content Type Distribution

Content Breakdown

Original Tweets 2,138 (66%)
Replies 7 (0%)
Retweets 1,046 (32%)
Quote Tweets 59 (2%)

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 1,046 retweets (32% 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 is likely residents of Indianapolis and Central Indiana interested in local news. The account also reaches a broader audience through its national policy coverage.

Average

Audience Quality

32.5%

Suspicion Index

47.6%

Low-Quality %

6

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

56.3%

Empty Bio

49.8%

<10 Tweets

5.4%

Mass Following (>2K)

0.0%

New (<90 days)

62.2%

Low Ratio (<0.1)

0.0%

New (<180 days)

90.8%

No URL

38.9%

<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.

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Follower Reach & Influence

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

36,640,021

Total Potential Reach

6

Median Follower Reach

47

75th Percentile Reach

3.1%

>1K followers

0.3%

>10K followers

0.1%

>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).

31.1%

Creators

15,530 accounts

19.2%

Consumers

9,577 accounts

49.8%

Dormant

24,893 accounts

233

Verified Followers

0.47% of total

4.3%

Professional Bios

founder, dev, analyst, etc.

0.06

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):

Indianapolis, IN (3,461) Indiana, USA (2,201) United States (586) Indiana (581) Indianapolis (379) Fishers, IN (250) Carmel, IN (229) Indianapolis, Indiana (195) Greenwood, IN (170) USA (157)

274

Verified Followers

0.27% of total

7,937

Protected Accounts

7.86% 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 14,100,283 Wrestler Wrestling, Motivation, Self-promotion
@PatMcAfeeShow 2,836,550 Sports commentator Sports, Betting, Entertainment
@StephanieAbrams 1,954,427 Meteorologist Weather, Meteorology, Morning TV
@SinghLions 1,334,220 Restaurateur Food, Travel, Influencer
@Loudwire 540,990 Music Journalist Rock, Metal, Subculture
@TheDemCoalition 522,111 Political Activist #TheResistance, #ImpeachmentTaskForce, Dems
@splinter_news 505,609 News Outlet News, opinions, under skin
@ChuckCallesto 485,407 Political Strategist Father, Candidate, Political
@MaggieHeroDog 411,123 Service Dog Golf, Music, Service Dogs
@2thank 395,042 Appreciation Coach Appreciation, Gratitude, Recognition

Top Keywords in Follower Bios

love (2,883) life (1,991) mom (1,518) indiana (1,464) wife (1,268) family (1,064) sports (974) music (909) husband (892) father (886)

Top Hashtags in Follower Bios

#1 (70) #colts (49) #maga (48) #fortheshoe (45) #blm (40) #resist (40) #blacklivesmatter (39) #indy (36) #pacers (33) #iubb (29)

33,800

Followers With Bio

67,196

Followers Without Bio

33.47%

% With Bio

66.53%

% 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 3,250 analyzed

11,304

Combined Engagement

0

Total Likes

11,304

Total Retweets

2,261

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

40%

With Hashtags

100%

With @Mentions

60%

With Links

Topical Analysis:

Local News Lgbtq+ Rights Policy Updates

Key Insights & Takeaways

The account frequently shares news about local policies and legislation affecting the LGBTQ+ community. It highlights both entertainment and news content, suggesting a balanced approach to content curation. There is a focus on current events, particularly those with social and political implications.

Strengths

  • + Established follower base of 226,060
  • + 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 @WISH_TV reveals an growing Twitter presence with 226,060 followers. The account demonstrates a content-creator strategy, averaging 9.6 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