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Phil engagement report

@philtalksgrowth - 45K followers on X

Measured over 22 original posts from a 30-day window, last computed on October 28, 2026.

Engagement

Bottom 10% for its size
Per follower
0.007%
of 45K followers
Per impression
0.353%
850 views on a typical post
Reach
1.89%
of its followers see a post
Typical post
3
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
0.97/day
active 60% of days
Peak time
09:00 UTC
Wednesday

A typical post picks up 3 interactions against 45K followers, an engagement rate of 0.007%. Measured over 22 original posts, its engagement rate beats 8% of 21,625 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 850 times each, and 0.353% of those impressions turn into an interaction. That is about 1.89% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.97 post a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 09:00 UTC, and Wednesday is the busiest day of the week. Of the 22 posts sampled, 55% carry an image or video and 18% link out. The account's strongest tracked post pulled 217 interactions, about 72x its own typical post.

Measured over 22 original posts from a 30-day window, last computed on October 28, 2026.

Compared with accounts its own size

Phil's engagement rate beats 8% of the tracked X accounts closest to it in follower count (21,625 accounts, accounts of similar size (decile 4 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 11% 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 0.007%, Phil sits above the 10th percentile of the 218,065 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.

p100.004%
p250.025%
p50 (median)0.149%
p750.705%
p902.63%
p9982.6%
Engagement rate as a share of followers, across the 218,065 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 21,725 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 percentile0.025%
50th percentile0.149%
75th percentile0.705%
90th percentile2.63%
99th percentile82.6%

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 09:00 UTC, and Wednesday 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: 09:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 09:00 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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
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 video55% of posts+111%+108% to +115%34K
Outbound link18% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 55% 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.
  • 18% 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 227 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

  • Nov 7, 202572x their median

    💎 Find the Next Crypto Gem: Season 3 Is Here! Trade selected tokens and share a 15,000 $USDT prize pool in this exclusive trading competition. Start trading and discover the next big gem on #KuCoin! 👉https://t.co/CVjEJYuTYt #Trading #CryptoGem https://t.co/tMtjStLq0j

    1323244987K viewsView on X
  • Dec 16, 202517x their median

    Just got our tickets for #asw26 🎟️ Looking forward to meeting many new partners across (mobile-) gaming, consumer apps, web3, fintech during @affiliatesummit west 2026 in Vegas! See you there 🥳

    409111.8K viewsView on X
  • May 17, 20256.0x their median

    AMA ALERT! RWAs are changing how we tokenize the world. But how do you actually build a successful RWA project? 🎙 “Tokenizing Reality: The Web3 RWA Playbook” How to raise funds, navigate compliance & build real-world utility in Web3. Hosted by @karimbanna (Brinc) with @SimplyAneri (XDC Ventures) & @philklink (Klink Finance) 🗓 May 20 | 2:30 PM UTC Set Reminder: https://t.co/JMGXSFv2wD

    102333.4K viewsView on X
  • Sep 29, 20265.3x their median

    What are you building right now? Drop the links to your project. 👇 I'll check out every reply and looking to connect with more builders.

    501101.1K viewsView on X
  • Oct 21, 20265.0x their median

    Solo founders what are you working on? Drop your domain, its never too early to get feedback 🚧👇

    40110927 viewsView on X
  • Oct 3, 20263.3x their median

    Having raised VC money, I met a lot of venture-backed founders who all agreed on one thing: SEO is a multi-year project with no clear ROI, so we'll get to it later. I didn't expect to see so many solo founders, bootstrapped teams and indie hackers absolutely nailing SEO and making it their core acquisition channel. Hats off to you guys 👏

    70301.1K viewsView on X
  • Oct 4, 20263.0x their median

    Go to these platforms to find affiliate programs and publishers in 2026: 1. @impactdotcom 2. @Affililandscape 3. @partnerstack 4. @Awin_US 5. @Rakuten 6. @admitad 7. FlexOffers 8. @shareasale 9. @Tradedoubler_ww 10. Pepperjam 11. @refersion 12. @tapfiliate 13. Post Affiliate Pro 14. Tune 15. @Everflow 16. Cake 17. HasOffers 18. LinkMink 19. Rewardful 20. ShareASale

    61201.2K viewsView on X
  • Oct 13, 20262.3x their median

    One of the best feelings building B2B is seeing your first paid customer where you have absolutely 0 touchpoints in your CRM 🥹 No automated outreach, no sales calls, no follow up sequence. 100% inbound and self-serve conversion into payment. Thats gold! 💰

    5020846 viewsView on X
  • Sep 26, 20262.0x their median

    One for the SEO experts. Whats your opinion on the @Lovable SEO&AI search review? Is it sufficient for indie hackers to just build a lovable project, linking it to @outrank_so for blogs and backlinks and waiting for it to grow? https://t.co/uCq9E8DuPC

    3030941 viewsView on X
  • Sep 25, 20262.0x their median

    We added self-signup to our B2B platform https://t.co/pwxJ4XkuVA earlier this year. It saved us 20+ hours every week. No more manually creating accounts. No more back-and-forth to get customers onboarded. The highest-ROI product work is often times removing yourself from the workflow.

    5010858 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 3 interactions against 45K followers, an engagement rate of 0.007%. Measured over 22 original posts, its engagement rate beats 8% of 21,625 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 850 times each, and 0.353% of those impressions turn into an interaction. That is about 1.89% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.97 post a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 09:00 UTC, and Wednesday is the busiest day of the week. Of the 22 posts sampled, 55% carry an image or video and 18% link out. The account's strongest tracked post pulled 217 interactions, about 72x its own typical post.

What is Phil's engagement rate on X?
Phil (@philtalksgrowth) has an engagement rate of 0.007%, based on the median interactions across 22 original posts from the last 30 days against 44,893 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.007%, Phil sits above the 10th percentile of the 218,065 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 @philtalksgrowth have real engagement?
Its engagement rate beats 8% of the tracked X accounts closest to it in follower count (21,625 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 @philtalksgrowth post?
Most posts go out around 09:00 UTC, and Wednesday is its busiest day, at roughly 0.97 posts per day across the measured window.

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