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Andrew Bolis engagement report

@AndrewBolis - 345K followers on X

Measured over 30 original posts from a 30-day window, last computed on September 3, 2026.

Engagement

Middle of its size range
Per follower
0.046%
of 345K followers
Per impression
1.32%
12K views on a typical post
Reach
3.53%
of its followers see a post
Typical post
157
interactions (median)
Saved
0.692%
82 bookmarks on a typical post
Posting rate
2.57/day
active 60% of days
Peak time
11:00 UTC
Monday

A typical post picks up 157 interactions against 345K followers, an engagement rate of 0.046%. Measured over 30 original posts, its engagement rate beats 51% of 6,874 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 12K times each, and 1.32% of those impressions turn into an interaction. That is about 3.46% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.6 posts a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 11:00 UTC, and Monday is the busiest day of the week. Of the 30 posts sampled, 100% carry an image or video, 90% are part of a thread and 43% link out. The account's strongest tracked post pulled 1.7K interactions, about 11x its own typical post.

Measured over 30 original posts from a 30-day window, last computed on September 3, 2026.

Compared with accounts its own size

Andrew Bolis's engagement rate beats 51% of the tracked X accounts closest to it in follower count (6,874 accounts, accounts of similar size (decile 8 of 10)). A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.

On engagement per impression rather than per follower it beats 55% of the same group. When those two numbers disagree, the gap is about how far its posts travel rather than how people react to them.

Where this sits in the catalog

At 0.046%, Andrew Bolis sits above the 25th percentile of the 66,691 accounts in this comparison. That places it in the below the median band, which runs 0.016% to 0.1%.

p100.002%
p250.016%
p50 (median)0.1%
p750.499%
p902.09%
p99118.6%
Engagement rate as a share of followers, across the 66,691 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 56,485 times apart and a linear axis would flatten everything below the median into a single point.
Show the percentile table
Engagement rate percentiles
PercentileEngagement rate
10th percentile0.002%
25th percentile0.016%
50th percentile0.1%
75th percentile0.499%
90th percentile2.09%
99th percentile118.6%

This ruler is the whole measured catalog, not a size-matched group: it shows where the raw rate falls across every account we can measure, all of which are large. For a like-for-like comparison, read the size-band percentile above instead. See how the bands are built

Posting timing

This account posts most often around 11:00 UTC, and Monday is its busiest day of the week. The bars below are the catalog-wide pattern, with this account's own busiest slot marked. They do not show how this account performs at each hour: we keep one aggregate per account, not one per hour, so that measurement does not exist in our data.

Engagement by hour posted, UTCTwenty-four bars, one per UTC hour. Each bar shows how posts published in that hour compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest hour: 11:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 11:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%89K
01:00 UTC-2%90K
02:00 UTC-3%88K
03:00 UTC-4%94K
04:00 UTC-5%76K
05:00 UTC-4%75K
06:00 UTC-5%86K
07:00 UTC-5%93K
08:00 UTC-4%108K
09:00 UTC-4%124K
10:00 UTC-3%129K
11:00 UTC-3%141K
12:00 UTC-3%154K
13:00 UTC-3%167K
14:00 UTC-4%173K
15:00 UTC-2%176K
16:00 UTC-3%171K
17:00 UTC-3%159K
18:00 UTC-2%149K
19:00 UTC-2%141K
20:00 UTC-1%131K
21:00 UTC0%116K
22:00 UTC-2%100K
23:00 UTC-1%90K
Engagement by day of weekSeven bars, one per weekday, Sunday first. Each bar shows how posts published on that day compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest day: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Monday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%393K
Monday+1%483K
Tuesday-2%520K
Wednesday-3%472K
Thursday-2%430K
Friday-3%447K
Saturday+2%393K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Formats this account uses

Its own posting mix on the left, and what each of those formats does across every account we track on the right. Only formats where the effect clears our publish test appear here, so an empty row is a format we could not measure rather than one that does nothing.

This account's posting mix compared with catalog-wide effects
FormatThis accountCatalog effect95% intervalAccounts behind it
Image or video100% of posts+111%+108% to +115%34K
Outbound link43% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 100% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 111% above the same accounts' other posts.
  • 43% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
  • Its average post runs 1065 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above the same accounts' other posts.

These are catalog-wide differences applied to this account's own posting mix, not a measurement of how each format performs for this account specifically. We keep one median per account, not one per format per account, so the second thing is not something this data can tell you.

Best tweets

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    38240301127K viewsView on X
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    26225268415K viewsView on X
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    Everyone should have a faceless YouTube channel that makes $390 a day. Usually, I'd charge $83 for this guide, but today it's yours 100% free. Like + comment 'YT' and I'll send you my step-by-step guide for FREE. Must follow me to get the guide in DM. FREE for next 48 hours. https://t.co/qILbyEvA26

    19418200017K viewsView on X
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    16128193013K viewsView on X
  • Aug 30, 20261.7x their median

    AI is replacing people without the right skills. Build AI skills to future-proof your career. Knowing AI tools isn’t enough. It’s critical to learn the right AI skills. These 9 skills outline how professionals work with AI, from basic interaction to system-level execution. Building a few of them will expand your career options and opportunities. Here’s the full breakdown of each skill: [ 🔖 bookmark this post for later ] 1️⃣ Prompt Engineering Write clear instructions that produce consistent, useful AI results. Most people type one prompt and fix the output later. Professionals structured prompts that deliver repeatable outcomes across tools and tasks. Tools: Claude, ChatGPT 2️⃣ Workflow Automation Link platforms together to let AI handle your repetitive work. This is how teams eliminate manual handoffs and turn routine processes into background systems. Tools: n8n, Zapier 3️⃣ AI Image Generation Produce professional-grade visuals for ads and products via text. Instead of waiting on designers or stock assets, teams generate visuals on demand and iterate instantly. Tools: NanoBanana (Gemini), Recraft 4️⃣ Vibe Coding Ship working prototypes rapidly without deep manual code knowledge. The technical wall is gone; founders are now launching functional products by describing their ideas instead of hiring expensive developers. Tools: Lovable, Replit 5️⃣ Custom GPTs Create tailored AI assistants for specific tasks without code. This turns AI from a general tool into a system that understands your workflows, tone, and use cases. Tools: OpenAI GPT Builder, Poe 6️⃣ AI Video Generation Turn concepts into cinematic video content without editing expertise. Scale video marketing and training at lower costs by generating polished scenes from text scripts. Tools: Synthesia, Runway 7️⃣ AI-Assisted Development Write and debug code faster using real-time AI guidance. Developers focus on logic and architecture while AI handles syntax, errors, and refactoring. Tools: Cursor, Google Antigravity 8️⃣ Agentic Coding Assign full coding tasks to AI agents that strategize and execute. Instead of guiding every step, you define goals and let agents plan and complete the work. Tools: OpenAI Codex, Claude Code 9️⃣ RAG Systems Link AI to your internal data for relevant, business-specific responses. This replaces generic outputs with answers grounded in your documents, systems, and knowledge base. Tools: LangChain, Haystack AI tools aren’t enough. It’s critical to build AI skills. Use this roadmap to: ➟ Identify which AI skills support your role or team ➟ Start with one skill and apply it in real work ➟ Expand only after you see results That’s how AI becomes a long-term asset, not a distraction. 📌 Get Advanced ChatGPT Guide (free): https://t.co/kOBWfKrBaX 👉 Follow me @AndrewBolis for more and 🔄 Repost this to help others use AI

    1675842418K viewsView on X

Ranked by total interactions across everything we have tracked for this account, which is a longer history than the 30-day window the rates above use. The multiple compares each post to this account's own median.

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Reading these numbers

A typical post picks up 157 interactions against 345K followers, an engagement rate of 0.046%. Measured over 30 original posts, its engagement rate beats 51% of 6,874 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 12K times each, and 1.32% of those impressions turn into an interaction. That is about 3.46% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.6 posts a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 11:00 UTC, and Monday is the busiest day of the week. Of the 30 posts sampled, 100% carry an image or video, 90% are part of a thread and 43% link out. The account's strongest tracked post pulled 1.7K interactions, about 11x its own typical post.

What is Andrew Bolis's engagement rate on X?
Andrew Bolis (@AndrewBolis) has an engagement rate of 0.046%, based on the median interactions across 30 original posts from the last 30 days against 345,118 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.046%, Andrew Bolis sits above the 25th percentile of the 66,691 accounts in this comparison. Those comparison accounts are all large ones, because our scanning cadence is weighted towards big accounts, so this is a ranking among peers of similar scale rather than a ranking across X.
Does @AndrewBolis have real engagement?
Its engagement rate beats 51% of the tracked X accounts closest to it in follower count (6,874 accounts), which puts it in the middle of its size range group. Ranking inside a size band matters because engagement rate falls as accounts grow, so a raw rate would mostly re-measure the follower count. It is a starting point for a look at follower quality, not a verdict on it.
When does @AndrewBolis post?
Most posts go out around 11:00 UTC, and Monday is its busiest day, at roughly 2.57 posts per day across the measured window.

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