Dave DiCello
Born, raised and proudly live in the great Steel City of Champions. Pittsburgh cityscape/wedding photographer. Pens fan. Marathon runner. Husband and dad.
127,704
Followers
948
Following
42,132
Tweets
386.5
Avg Engagement
490
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @DaveDiCello'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:2009-11-05
- Verification:No
- Location:Pittsburgh
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:356.0
- Avg Retweets per Tweet:30.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsHis tweets receive a high number of likes and retweets, indicating strong audience interaction. The engagement is consistent across his posts, suggesting a loyal and active follower base.
356.0
Avg Likes/Tweet
30.4
Avg Retweets/Tweet
1,157,090
Total Likes
98,929
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
203
Median Likes
13
Median Retweets
611
75th Percentile
8,422
Top Tweet
3.03
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
50.7%
Original
48.7%
Replies
0.0%
Retweets
0.6%
Quotes
0.0%
Threads
4.3%
With Media
63.1%
With Links
44.6%
With #Tags
39.6%
With @Mentions
0.1%
With Emojis
209
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.96
Reply/Original Ratio
0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
77.8%
Weekday Posts
22.2%
Weekend Posts
Top Hashtags
Most Mentioned
Want This Report as PDF?
We're building PDF export for these analytics reports. Register your interest to get early access.
Content Strategy Analysis
Based on 3,250 tweetsContent Type Distribution
Content Breakdown
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.
Posting Patterns & Optimal Timing
Based on 3,250 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 50,000 followersHis audience is primarily local Pittsburgh residents and sports enthusiasts, with a focus on visual storytelling and community events. They engage with his content through likes and retweets, showing interest in his photography and personal updates.
Average
Audience Quality
21.2%
Suspicion Index
28.9%
Low-Quality %
54
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
42.2%
Empty Bio
22.0%
<10 Tweets
10.6%
Mass Following (>2K)
0.0%
New (<90 days)
41.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.1%
No URL
15.6%
<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.
37,065,997
Total Potential Reach
54
Median Follower Reach
234
75th Percentile Reach
6.7%
>1K followers
0.8%
>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).
61.0%
Creators
30,496 accounts
17.0%
Consumers
8,494 accounts
22.0%
Dormant
11,010 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):
472
Verified Followers
0.47% of total
13,837
Protected Accounts
13.7% of total
8 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 |
|---|---|---|---|
| @6BillionPeople | 2,033,068 | - | - |
| @DailyLoud | 1,733,411 | Music Blogger | Hip-Hop, Music, Updates |
| @SinghLions | 1,333,564 | Restaurateur | Food, Travel, Influencer |
| @soledadobrien | 1,317,905 | Journalist | working, mom, journalist |
| @JimCantore | 1,281,598 | Meteorologist | Weather, Meteorology, Nature |
| @bernabephoto | 1,014,913 | Photographer | Photography, Travel, Wildlife |
| @iownjd | 776,808 | Lawyer | learn, inspire, engage |
| @ARTEM_KLYUSHIN | 719,633 | Politician | Russian politics, diplomacy, international relations |
| @glennkirschner2 | 719,464 | Legal Analyst | Law, Justice, Politics |
| @SleepSkee | 709,938 | Musician | Music, Independent, Artist |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
49,441
Followers With Bio
51,555
Followers Without Bio
48.95%
% With Bio
51.05%
% 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 $15Buy Tweet Data
Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,250 analyzed25,802
Combined Engagement
22,808
Total Likes
2,994
Total Retweets
5,160
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
0%
With @Mentions
20%
With Links
Topical Analysis:
This lightning strike in #Pittsburgh was one of the closest I've ever captured, and certainly one of the clearest and most dramatic. This isn't a composite; all these bolts happened within a fraction of a second, creating a terrifyingly beautiful scene. A new all time favorite. h
Well that's gonna go down as one of the best sunsets I've ever shot, in #Pittsburgh or anywhere else. It's almost hard to believe what I was seeing, with mammatus clouds moving in after the storms this afternoon. Just some absolutely otherworldly, Stranger Things like views. http
So sad to hear that Franco Harris passed away, just days before the 50th Anniversary of the Immaculate Reception and his number being retired. I was downtown when I heard, so I made a stop at the site of the greatest play in NFL history. Rest in peace to a Pittsburgh legend. htt
Last night's full lunar eclipse was absolutely incredible to capture over #Pittsburgh. In this view, just minutes after the maximum eclipse, the moon can be seen sitting atop one of the spires of PPG Place. I have so many images to get through, and I can't wait to share them. htt
I honestly completely forgot that I shot this image during the snow in #Pittsburgh last week with everything else I shot that night and since. The black and gold worked perfectly and the snow added this great painterly effect...up there as a new favorite in my snowglobe series. h
Key Insights & Takeaways
He leverages his local ties to Pittsburgh for content relevance and connection. His photography is a key part of his online presence, showcasing his skills and attracting followers. He often ties personal experiences with local events, enhancing emotional engagement with his audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 127,704
- + 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 @DaveDiCello reveals an well-established Twitter presence with 127,704 followers. The account demonstrates a content-creator strategy, averaging 386.5 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