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Radhika Gupta engagement report

@iRadhikaGupta - 499K followers on X

Measured over 9 original posts from a 30-day window, last computed on October 27, 2026.

Engagement

Middle of its size range
Per follower
0.028%
of 499K followers
Per impression
1.07%
13K views on a typical post
Reach
2.65%
of its followers see a post
Typical post
141
interactions (median)
Saved
0.106%
14 bookmarks on a typical post
Posting rate
1.47/day
active 63% of days
Peak time
04:00 UTC
Sunday

A typical post picks up 141 interactions against 499K followers, an engagement rate of 0.028%. Measured over 9 original posts, its engagement rate beats 49% of 21,185 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 13K times each, and 1.07% of those impressions turn into an interaction. That is about 2.65% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.5 posts a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 04:00 UTC, and Sunday is the busiest day of the week. Of the 9 posts sampled, 56% carry an image or video and 11% link out. The account's strongest tracked post pulled 599 interactions, about 4.2x its own typical post. Recurring topics include #mfinvesting, #mutualfundsahihai, #stayinvested.

Measured over 9 original posts from a 30-day window, last computed on October 27, 2026. Recurring tags: #mfinvesting, #mutualfundsahihai, #stayinvested.

Compared with accounts its own size

Radhika Gupta's engagement rate beats 49% of the tracked X accounts closest to it in follower count (21,185 accounts, accounts of similar size (decile 10 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 49% 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 0.028%, Radhika Gupta sits above the 25th percentile of the 212,825 accounts in this comparison. That places it in the below the median band, which runs 0.025% to 0.146%.

p100.004%
p250.025%
p50 (median)0.146%
p750.697%
p902.61%
p9983.0%
Engagement rate as a share of followers, across the 212,825 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,436 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 percentile0.146%
75th percentile0.697%
90th percentile2.61%
99th percentile83.0%

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 04:00 UTC, and Sunday 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: 04:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 04:00 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: Sunday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Sunday
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 video56% of posts+111%+108% to +115%34K
Outbound link11% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 56% 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.
  • 11% 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 262 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

  • Jun 19, 20254.2x their median

    It's here! Every time someone told me money is too difficult or finance too complex, a part of me felt sad—and wondered, what can I do? This is the answer. Over the past year, @avasthiniranjan and I created Mango Millionaire—a simple, complete money friend for the aam junta. It’s not a stock market or behavioural finance book, but one that answers real questions like: What do I do if I earn ₹30,000 a month? Should I rent or buy? How much insurance do I really need? After 20 years in finance, making money as simple as dal chawal has been tough—but incredibly rewarding. Mango Millionaire is now open for pre-order at the link below. All author proceeds go towards financial literacy for India. If you're looking to make finance simple—or know someone who is—join the journey! Link: https://t.co/efi0b8jrbG

    439401146183K viewsView on X
  • Oct 2, 20263.3x their median

    Captain Smit Machchhar, thank you. You are a role model for every one of us, and you make the flag fly a little higher. Our children grow up hearing stories of fictional superheroes. Today, I’m going to tell my son yours.

    428343019K viewsView on X
  • Sep 11, 20262.2x their median

    A strait closes in the Gulf, a bond yield moves in Mumbai, and a chip rule in Washington changes plans in Pune. Geopolitics, macroeconomics, and technology are no longer separate...they are one connected system. More information won't help you navigate this, but a better lens will. The Entropy Trap by Mickey Maini offers just that, treating the financial system like a physical one: stored stress doesn't vanish, and calm is often misleading before structural shifts hit. It’s not a doom book; it’s a tool for managing capital and leading businesses. Instead of forecasting exact numbers, measure the state of the system you’re in. The book gave me perspective that understanding coming change in the global system is key to understanding the india story. Link - https://t.co/0kpvPfhkgZ

    269356017K viewsView on X
  • Sep 8, 20261.9x their median

    Most investors start with an absolute goal. "I need 10% returns." "I need to retire comfortably." "I need my money to beat inflation and grow." Then something strange happens. The fund delivers what it promised. The goal is on track. But a newer, hotter fund appears. It made more. Suddenly, what was good enough isn't good enough anymore. Absolute becomes relative. Money moves. Fund managers feel pressure to keep up. Risks get stretched. Portfolios become more aggressive. Everyone chases the latest winner. The irony is that the investor's goal may not have changed at all. In investing, performance matters. Too little performance is a problem. But too much performance should also make you ask questions. Because in markets, there is rarely a free lunch. Extraordinary returns often come with extraordinary risks, sometimes visible, sometimes hidden. The best investing is not about finding the fund that wins every year. It's about finding an approach that gets you where you need to go, and having the discipline to stay with it. The biggest wealth destroyer is often not poor performance. It's the constant search for better performance.

    1982938335K viewsView on X
  • Oct 18, 20261.7x their median

    Every return opportunity starts with risk. https://t.co/TwDJrYItub

    1933110112K viewsView on X
  • Sep 16, 20261.6x their median

    Dear Investor, Data helps us make better decisions. But it can also shorten our time horizon. Think about the things we hold patiently: FDs, single malts, private businesses, even ancestral furniture in our homes. None of them come with a live NAV flashing on our phones every second. Stocks and mutual funds are different. We can check them anytime. And because we can, we do. Here's the irony: volatility rises the more often you look. The investment hasn't changed. Only the frequency of observation has. Maybe the answer is to evaluate investments over the horizon they were designed for. An overnight fund can be judged daily. An equity fund probably can't. On a lighter but no so light note, imagine if your house had a live NAV. It wouldn't become more volatile. You'd just notice the volatility more. Then you'd check it ten times a day, compare it with your neighbour's, obsess over whether you paid the right price, and have the occasional anxiety attack. The house wouldn't have changed. Only your experience of owning it would. Love, Zindagi

    1881918416K viewsView on X
  • Aug 23, 20261.6x their median

    Many people ask me, "Do I need a SIF?" That's the wrong question. Don't ask for the product. Show me the problem. - Need a more efficient alternative to traditional fixed income? Meet Hybrid Long Short (better yield solution) - Looking for high-alpha opportunities? Meet Ex Top 100 (alpha solution) - Want core equity exposure with a little extra alpha and lower noise? Meet Equity Long Short (efficient beta solution) Portfolios don't need more products. They need better solutions to existing problems.

    1781527227K viewsView on X
  • Oct 3, 2026

    What doesn't challenge you, doesn't change you.

    173148217K viewsView on X
  • Oct 23, 2026

    Lucky number 7! Won my first Business Today MPW award in 2019 when I was a newish AMC CEO and we managed less than 20,000 crores in AUM. Same award, seventh time, at nearly ten times the size. Somewhere along the way, I also became an author, Shark, mommy and owner of 300+ sarees. Loving the journey, raring to go. To team @EdelweissMF, thank you for doing the compounding. Grateful to lead a truly special team.

    148521210K viewsView on X
  • Oct 7, 2026

    How often do you check your NAV? Daily: 46% chance you see red Monthly: 39% Yearly: 23% Every 3 years: 6% Every 5 years: 0% In this case, Kumbhkaran was the wise one. Source: @EdelweissMF internal analysis https://t.co/DDj1229MU2

    1051715412K 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

#mfinvesting#mutualfundsahihai#stayinvested

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 141 interactions against 499K followers, an engagement rate of 0.028%. Measured over 9 original posts, its engagement rate beats 49% of 21,185 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 13K times each, and 1.07% of those impressions turn into an interaction. That is about 2.65% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.5 posts a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 04:00 UTC, and Sunday is the busiest day of the week. Of the 9 posts sampled, 56% carry an image or video and 11% link out. The account's strongest tracked post pulled 599 interactions, about 4.2x its own typical post. Recurring topics include #mfinvesting, #mutualfundsahihai, #stayinvested.

What is Radhika Gupta's engagement rate on X?
Radhika Gupta (@iRadhikaGupta) has an engagement rate of 0.028%, based on the median interactions across 9 original posts from the last 30 days against 498,665 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.028%, Radhika Gupta sits above the 25th percentile of the 212,825 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 @iRadhikaGupta have real engagement?
Its engagement rate beats 49% of the tracked X accounts closest to it in follower count (21,185 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 @iRadhikaGupta post?
Most posts go out around 04:00 UTC, and Sunday is its busiest day, at roughly 1.47 posts per day across the measured window.

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