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Neha Nagar engagement report

@nehanagarr - 129K followers on X

Measured over 20 original posts from a 30-day window, last computed on October 2, 2026.

Engagement

Middle of its size range
Per follower
0.066%
of 129K followers
Per impression
1.36%
6.2K views on a typical post
Reach
4.84%
of its followers see a post
Typical post
84
interactions (median)
Saved
0.113%
7 bookmarks on a typical post
Posting rate
0.67/day
active 57% of days
Peak time
14:00 UTC
Friday

A typical post picks up 84 interactions against 129K followers, an engagement rate of 0.066%. Measured over 20 original posts, its engagement rate beats 47% of 20,444 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 6.2K times each, and 1.36% of those impressions turn into an interaction. That is about 4.82% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.67 post a day over the last 30 days, with activity on roughly 57% of days. Most posts go out around 14:00 UTC, and Friday is the busiest day of the week. Of the 20 posts sampled, 5% carry an image or video. The account's strongest tracked post pulled 1.1K interactions, about 13x its own typical post.

Measured over 20 original posts from a 30-day window, last computed on October 2, 2026.

Compared with accounts its own size

Neha Nagar's engagement rate beats 47% 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 50% 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 0.066%, Neha Nagar sits above the 25th percentile of the 205,475 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,475 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,893 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 14:00 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: 14:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 14:00 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 video5% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 5% 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 922 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

  • Aug 23, 202613x their median

    5 new Aadhaar Card features you should definitely know about👇 The 'mAadhaar' app is now dead, and it's been replaced by the new 'Aadhaar' app, which brings some new features like 1. Update your details online No more centre visits for name, address, or DOB changes. Do it from the app for a flat ₹75 fee. 2. Link your email for free, but only till Dec 31 Link your email for free with your Aadhaar by December 31st. After that, it's a paid update. 3. See exactly where your Aadhaar was used Full authentication history, right in the app. Spot something suspicious? Report it on the spot. 4. Manage your whole family from one app Add up to 5 family members' Aadhaar profiles. No more borrowing everyone's phone for OTPs. 5. Lock your biometrics with one tap Lock or unlock your fingerprint/iris data instantly, greatly reducing chances of Aadhaar-linked fraud. Follow for more such interesting updates.

    89715220593K viewsView on X
  • Aug 27, 20266.0x their median

    Dear wives, you don't have to obey your husbands at home. Many women are forced to follow their husbands' commands after marriage. Not just in traditional families, but supposedly "modern" families too. But Karnataka HC just said that a wife doesn't have to obey her husband at home, and she can't be forced to do household chores or care for in-laws. And that's right. Marriage doesn't give the husband the right to control his wife. The court said household responsibilities should remain shared between men and women. And caring for each other's in-laws is voluntary, not forced. So the next time your spouse forces you with unreasonable demands, you're not alone and helpless. You have the law with you. The question is: Could someone abuse and weaponise the same?

    102113751936K viewsView on X
  • Aug 21, 20264.3x their median

    Your bike loan may soon get cheaper by 40-50%! Yes, RBI has proposed a major change that could expose one of the biggest tricks in two-wheeler loans. Generally, most bike and scooter loans use a flat-rate method. You pay interest on the original loan amount, even if it is the last EMI. But home loans work differently. They use the reducing-balance method, so you pay interest only on the amount you still owe. RBI wants to bring this system to two-wheeler loans, potentially from April 2027. Here's the math after this update: ₹2 lakh loan | 12% interest | 24 months Flat rate: ₹48,000 interest Reducing balance: ₹25,953 interest That's more than ₹22,000 saved, or nearly 46% less interest! A huge win for millions of bike owners. What's your take on this?

    3082926237K viewsView on X
  • Sep 2, 20263.8x their median

    Why did our Prime Minister tell us not to buy Gold AGAIN? See, India runs a current account deficit, which means it imports more than it exports. And two of India's biggest imports are oil and gold, and both of them are imported using US Dollars. Since the US-Iran war this year, oil prices have increased a lot, which means we now spend more US Dollars importing the same oil. And because of this, our current account deficit is increasing. Because of this increased deficit, the demand for Dollars increases, and this weakens the Indian Rupee. And to counter this, the PM is urging citizens to reduce their gold purchases. If Indians buy less Gold, we import less of it, which offsets the increased oil imports, keeping the Current Account Deficit in check, which helps control the fall of the Indian Rupee. So the simple reason why our PM told us not to buy Gold is so that the Indian Rupee doesn't fall further. But do you think it will work?

    17927102719K viewsView on X
  • Aug 19, 20262.8x their median

    Indian companies are choosing profits over people at a terrifying speed, and it should make you sweat. India's top 10 private banks cut 10,000 jobs in FY26 as they accelerate AI and automation across operations. At the same time, Paisabazaar's CTO just said that AI writes 86% of the platform's new code. No job cuts yet, but a lot of workload moved to AI. Even many fintech startups are letting AI handle 70-80% of their backend work, like KYC and customer profiling, snatching more jobs away from humans. None of this existed 12 months ago. This is what happens when companies discover AI is simply cheaper, faster, and doesn't ask for a raise like you, and most entry-level jobs are standing directly in the blast radius. A big chunk of India is employed in these entry-level jobs, making them extremely vulnerable to disruption. So here's the question that actually matters: If your job gets automated in the next 12 months, are you already prepared for it, or are you hoping you'll be the exception?

    1901826112K viewsView on X
  • Sep 24, 20262.5x their median

    Why did Policybazaar crash 37% today? And it wasn't just Policybazaar. Most insurance stocks fell sharply too. The reason is a single paper from IRDAI, India's insurance regulator, that could change how insurance is sold in India. Here's what it proposes: → Lower commissions for anyone selling insurance, with limits set by product and sales channel → Banks can't force you to buy insurance with a loan, and they'll earn far less when they do sell it → Every policy is tied to the person who sold it, and if it was mis-sold, they lose their commission ...and more. Almost every proposal comes down to one thing: distributors will earn less on every policy they sell. For insurance distributors, commissions are the core business. So when the regulator caps them, earnings take a direct hit, and the market priced that in today. The rules aren't final yet, but there's a bigger lesson here. Most investors worry about competition, demand, or margins. But in regulated businesses, the bigger threat is often the regulator itself, because a single policy change can wipe out half the P&L in a day. We saw it with Dream11 when real-money gaming was banned. Now insurance distributors are facing their own version of that moment.

    1732314215K viewsView on X
  • Sep 30, 20262.4x their median

    In the last 25 years, Nifty has gone through 5 phases where it delivered zero returns for two years or more: • Feb 2000-Dec 2003 (3 years, 10 months) • Jan 2008-Mar 2014 (6 years, 2 months) • Mar 2015-Mar 2017 (2 years) • Sep 2018-Nov 2020 (2 years, 2 months) • Mar 2024-Present (2 years, 6 months) Every few years, Nifty goes through a period of no returns, and each period was eventually followed by a strong rally. Yet this time, many people seem convinced that the Indian stock market is fundamentally broken. But the reality is that investors no longer have patience. Everybody wants a stock that can double their money in a month. And when they don't get that, they quit the game, convinced the market no longer works, often just before it starts rewarding the people who stayed. Keep this in mind: Equity is not a 2-3 year game; it's a 10-15 year game that rewards your patience.

    1541129415K viewsView on X
  • Aug 17, 20262.3x their median

    Trump just triggered the next big boom for Indian defence stocks. Trump is cutting military drills with South Korea, and he made the reason very clear: America won't defend everyone forever. Sounds unrelated to India, right? But here's the chain reaction: US steps back → allies like South Korea can't rely on the US defence anymore → they're forced to ramp up their own defence spending → that spending has to go somewhere And that "somewhere" is Indian defence companies. Don't be shocked if Indian defence companies start receiving large orders from the South Korean government soon. But the real question is... Is your portfolio positioned for this shift?

    1611218121K viewsView on X
  • Aug 11, 20261.8x their median

    3-star hotels may soon decide what your hospital room costs. The govt wants to cap hospital room rents using nearby 3-star hotel rates as the benchmark. Hotel charges ₹10k/night? Hospital can't charge more. Why? Private hospitals reportedly cost 10-15X more than public ones. This needs to be fixed. This sounds great on paper, but it has a lot of problems. 1. Hotels have 5 different room types. Which one's the benchmark? Cheapest or the fanciest? 2. Hotel room prices change heavily based on seasonality. 3. Half the country doesn't have a 3-star hotel nearby to even compare against. Great intent. Not a great idea, for now. But do you think this policy could hurt the quality of healthcare in India?

    114628011K viewsView on X
  • Aug 12, 20261.7x their median

    Is India's luxury real estate market a big bubble? India's top 1% earn much less than the 1% in the US. ₹71 lakh/year vs. ₹8 crores/year. So luxury homes should be way cheaper in India, right? Wrong. Take the Trump Tower in Noida. It is pricier than the Trump Tower in Chicago on a per-square-foot basis. Trump Tower Noida: ₹81,090 per sq. ft. Trump Tower Chicago: ₹76,320 per sq. ft. Somehow, the country that earns less has pricier luxury homes! And it's not that there aren't enough luxury homes. The number of UNSOLD luxury and ultra-luxury units in India have jumped 40-50% in the last year! This should make you seriously question the state of luxury real estate. Do you think luxury real estate is headed for a big correction?

    1001224511K 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 84 interactions against 129K followers, an engagement rate of 0.066%. Measured over 20 original posts, its engagement rate beats 47% of 20,444 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 6.2K times each, and 1.36% of those impressions turn into an interaction. That is about 4.82% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.67 post a day over the last 30 days, with activity on roughly 57% of days. Most posts go out around 14:00 UTC, and Friday is the busiest day of the week. Of the 20 posts sampled, 5% carry an image or video. The account's strongest tracked post pulled 1.1K interactions, about 13x its own typical post.

What is Neha Nagar's engagement rate on X?
Neha Nagar (@nehanagarr) has an engagement rate of 0.066%, based on the median interactions across 20 original posts from the last 30 days against 129,103 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.066%, Neha Nagar sits above the 25th percentile of the 205,475 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 @nehanagarr have real engagement?
Its engagement rate beats 47% of the tracked X accounts closest to it in follower count (20,444 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 @nehanagarr post?
Most posts go out around 14:00 UTC, and Friday is its busiest day, at roughly 0.67 posts per day across the measured window.

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