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AIDA engagement report

@aidappcom - 124K followers on X

Measured over 13 original posts from a 30-day window, last computed on October 2, 2026.

Engagement

Bottom 10% for its size
Per follower
0.003%
of 124K followers
Per impression
0.241%
1.7K views on a typical post
Reach
1.30%
of its followers see a post
Typical post
4
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
0.43/day
active 43% of days
Peak time
10:00 UTC
Friday

A typical post picks up 4 interactions against 124K followers, an engagement rate of 0.003%. Measured over 13 original posts, its engagement rate beats 10% of 20,444 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 1.7K times each, and 0.241% of those impressions turn into an interaction. That is about 1.34% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.43 posts a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 10:00 UTC, and Friday is the busiest day of the week. Of the 13 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 17 interactions, about 4.3x its own typical post.

Measured over 13 original posts from a 30-day window, last computed on October 2, 2026. Recurring tag: #aida.

Compared with accounts its own size

AIDA's engagement rate beats 10% of the tracked X accounts closest to it in follower count (20,444 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 13% 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 0.003%, AIDA sits below the 10th percentile of the 204,880 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,880 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,891 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 percentile0.004%
25th percentile0.024%
50th percentile0.143%
75th percentile0.678%
90th percentile2.55%
99th percentile82.4%

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 10:00 UTC, and Friday 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: 10:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 10:00 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: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Friday
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 link0% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 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.
  • 0% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
  • Its average post runs 261 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.

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

  • Jul 8, 20264.3x their median

    Let's clear up a misconception. AIDA isn't just a tool. It is a trading environment that brings together charts, swaps, wallets, signals, liquidity, and execution into one connected workflow. Simply put, with AIDA, every decision starts with context and ends with action. We believe trading should feel like one continuous workflow, not a collection of disconnected tabs. 😉 Jump on https://t.co/eADB5zPny7 to get started and experience a seamless workflow!

    124102.1K viewsView on X
  • Aug 14, 20263.8x their median

    Friday Tip: Use AIDA to turn attention into activity AIDA is a tools to build, track engagement, and understand what is actually driving growth Going viral only gets people talking about your project Real growth shows up in retention, engaging with community, and product usage https://t.co/JbjYEfzRV6

    132002.1K viewsView on X
  • Jul 6, 20263.3x their median

    We are built to handle the hard part that comes after the launch day hype and before the beautiful metrics fade. With Social Booster, we give you the tools to track creator performance, verify participation, and measure ongoing community engagement, filtering out the noise so you can see exactly what drives long-term value. We've filtered the noise, relax and enjoy your launchday hype!

    93102.1K viewsView on X
  • Aug 12, 20263.0x their median

    You paid. The KOL posted. Views came in But what did the campaign actually achieve? Likes and views don’t show who clicked, traded, or took action AIDA SocialBooster helps you track: • Clicks and users • Community activity • Campaigns that drive action • Measurable results https://t.co/lLL3uVSlRn

    91202.1K viewsView on X
  • Jul 10, 20262.8x their median

    As an experienced trader, one of the best ways to think about the market is to imagine that every trade comes with a confidence score. Stop looking for guarantees. Instead, learn to judge what the market is quietly telling you. The truth is, the market is never certain. So stop asking whether a move will happen and start asking how likely it is. The more pieces that line up, the stronger your conviction. That is why AIDA brings those signals together in one place, giving you the context to make better decisions with greater confidence. Read the market in probabilities, not guesses.

    91102.5K viewsView on X
  • Jul 3, 20262.8x their median

    Hey there! Before you hit swap just because you think you've found the best price, I need you to know that the number on the screen is only part of the trade. As an experienced trader, you should look beyond the price and always: • Check liquidity depth. • Compare routing options. • Read market signals before you click confirm. We're here to make things easier by ensuring we bring routing, liquidity, and real-time market data into one single view so you can stop chasing prices and start executing with full context.

    81202.3K viewsView on X
  • Aug 17, 20262.5x their median

    Attention can arrive overnight. Liquidity takes time. If thousands are talking but orderbooks stay thin, that hype turns into slippage and missed execution. AIDA bridges the gap - turning social momentum into real market depth and active trading. https://t.co/PjaYNMFvhP

    72012.0K viewsView on X
  • Jul 31, 20262.5x their median

    Imagine judging a Web3 project the same way you judge a trade. You wouldn't place an order based on price alone. You'd check the order book, look at the liquidity, measure the depth, and understand what's happening beneath the surface before making a move. Web3 growth deserves the same approach. A spike in users or trading volume doesn't always tell the full story. The real signals come from sustained activity, community participation, liquidity, and how the ecosystem continues to perform after the hype fades. That's why AIDA helps you look beyond the headline numbers, bringing the data that matters into one place so you can make decisions with greater confidence.

    60401.9K viewsView on X
  • Sep 7, 20262.3x their median

    Too many tabs shouldn’t be part of trading. AIDA brings discovery, analysis, liquidity, routing, wallet and execution into one workflow. Less switching, more trading. https://t.co/sNdLAoot3O

    80102.1K viewsView on X
  • Aug 24, 20262.3x their median

    A token launch is just the beginning. The real challenge is turning that momentum into community growth, participation, and trading activity. AIDA brings it all together, helping projects turn launch momentum into sustained growth. https://t.co/pzlM7eutbc

    70201.9K 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.

Recurring topics

#aida

The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.

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Reading these numbers

A typical post picks up 4 interactions against 124K followers, an engagement rate of 0.003%. Measured over 13 original posts, its engagement rate beats 10% of 20,444 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 1.7K times each, and 0.241% of those impressions turn into an interaction. That is about 1.34% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.43 posts a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 10:00 UTC, and Friday is the busiest day of the week. Of the 13 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 17 interactions, about 4.3x its own typical post.

What is AIDA's engagement rate on X?
AIDA (@aidappcom) has an engagement rate of 0.003%, based on the median interactions across 13 original posts from the last 30 days against 123,525 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.003%, AIDA sits below the 10th percentile of the 204,880 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 @aidappcom have real engagement?
Its engagement rate beats 10% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the bottom 10% for its size 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 @aidappcom post?
Most posts go out around 10:00 UTC, and Friday is its busiest day, at roughly 0.43 posts per day across the measured window.

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