Coaching case study

Mandeep Dhaliwal case study: 920 views a reel, then 82,652

This Mandeep Dhaliwal case study covers 5 July 2026 to 22 August 2026 on a Canadian nursing coach's account. She had published 191 reels herself over 39 months, at a median of 920 views and a best of 20,671. The 19 reels since have a median of 82,652 and 4.6 million organic views between them, and 17 of the 19 beat her all-time best. That is 89.8 times on the median. Nothing here was boosted.

Mandeep Dhaliwal, nursing licensing coach in Canada
mandeepcoach_
Mandeep Dhaliwal
416
posts
10,119
followers
31
following
What we produced in 47 days
4.6M
views
196,891
engagement

Who is Mandeep Dhaliwal?

A registered nurse in Canada who coaches internationally educated nurses through the exams that lead to a Canadian licence, the NCLEX-RN, the REx-PN and the CPNRE. Her students are mostly nurses who qualified in India and want to practise here. She runs it as Focused Nursing Prep Classes and she teaches the classes herself.

She is the first coach on our roster and the audience is unusual for us. Almost every other client on this site sells to people already in Canada. Hers are watching from Punjab, Kerala and the Gulf and deciding whether a move is possible at all, so the account has to answer a question rather than advertise a service.

The reason this page exists is the length of what came before it. She had been publishing since 18 March 2023: 191 reels over 39 months, a median of 920 views, and one reel in three years that passed twenty thousand. That is the longest before period we have on any client, which makes it the most solid baseline we have ever had to measure against.

The figures, from a full scrape of the profile on 24 August 2026: 19 reels since 5 July 2026, 4,639,898 views, 196,891 likes and comments. The mean reel did 244,205 and the median did 82,652. 8 reels passed a hundred thousand and one passed a million. She went from 500 followers before we started to 10,119, which is 20.2 times and 9,619 new followers in seven weeks.

The work: reels

The six biggest of the 19. Every one of them beat her whole previous three years in a single afternoon. Tap any tile to open it on Instagram.

What did Mandeep Dhaliwal ask for?

Reach, from someone who had already tried hard to get it. She was not a client who needed convincing to post. She had posted 191 times. The account had a clear subject, a real practitioner behind it and 39 months of consistency, and it was averaging fewer than two thousand views a reel.

The caption is what changed, and you can see it from outside. Of the 19 reels immediately before we started, 18 had no caption at all beyond a row of hashtags, several of them the same row repeated. Every one of the 19 reels since carries a written caption that makes one specific point and ends in a single word to comment: NURSE, RN, EXAM, HELP. That single-keyword close is our house rule on every account we run, and on this one it arrived with the results.

The second change was subject discipline. 6 of those last 19 reels were fundraising and awareness posts carrying tags like #savealife and #donate, published on an account about nursing licences. They are decent things to post and they were teaching the feed the wrong subject. Everything since is about the licensing path.

The reels that travel are journeys, not procedure. Sort the 19 by subject and the split is total. 10 of them are somebody's route, an origin story, or a comparison of nursing in one country against another: median 223,970 views, and 91% of everything the run has done. 5 are licensing procedure, which documents get evaluated and how the rules differ by province: median 52,206. There is no overlap at all between the two. The weakest journey reel did 72,068 and the strongest procedure reel did 70,729, and every one of the eight reels over a hundred thousand is a journey reel.

That is the same shape we have found on six other accounts in unrelated industries, and it is the thing worth planning around. The procedure content is not wasted. It is what a person needs once they have decided, and the two reels that fell back under her old best are the two most procedural ones on the account. The job is to lead with the journey and keep the procedure for the people the journey brings.

The floor moved, which is the part we did not expect. Every other account on this site has to explain a gap between its mean and its median, because a handful of reels carry the total. Here the mean lift is 141.8 times and the median lift is 89.8 times, and those two numbers being close is the finding. The smallest reel of the whole run did 9,796 views, more than ten times what a typical reel of hers used to do.

And the run is cooling. The 9 reels in July had a median of 217,703. The 10 in August have a median of 53,672. That is a real fall inside a short window and we would rather write it here than have you find it. It is also still 58 times her career median, so what has come down is the ceiling rather than the floor. Holding that floor through the autumn is the job now.

Which reels built the account?

Four of them written up, in order of views. The dates matter as much as the numbers: the second went out on day three and the last two went out in the third week of August, because the honest test of a big reel is what the account does after it.

1.9M Jul 2026 · Instagram

A comparison of how nurses are treated in the two countries, made by somebody who has worked as one in both. 1,858,723 views, 90,825 likes and 4,237 comments, which is more engagement on one reel than the account had collected in the previous three years.

It is 40% of everything the run has done, so it is fair to ask whether it is the whole result. It is not. Remove this reel from the dataset entirely and the median lift is still 84.1x and the mean lift is still 89.7x.

What would we repeat on the next coaching account?

  1. Volume was never the problem. 191 reels over 39 months at a median of 920 views. She was doing the work. What was missing was a written caption, one point per reel, and something to do at the end of it.
  2. A caption is not a hashtag field. 18 of her last 19 reels before us had nothing under them but tags. Every reel since makes one claim and ends in one word to comment. It is the cheapest change on this list and it is the one you can see from the outside.
  3. Lead with the journey, keep the procedure for later. Sorted by subject, the 19 reels separate completely: 10 journey reels at a median of 223,970 against 5 procedure reels at 52,206, with nothing overlapping. We have now seen that shape on seven accounts in industries that share nothing, which is why we script the route before the rulebook.
  4. Check the lift with the biggest reel deleted. Any agency can find you an account where one reel carries the quarter. Pull the top reel out of this dataset and the median lift is still 84.1 times. That test is the difference between a result and a screenshot, and we run it on every account before we write it up.
  5. Publish the direction of travel, not just the peak. July's median was 217,703 and August's is 53,672. We would rather put that on the page than let a prospect find it. Holding the floor through the autumn is the job on this account now.

Questions about this Mandeep Dhaliwal case study

It is arithmetic on a public account and the rows are checked into our repo. She published 191 reels between 18 March 2023 and 24 June 2026 at a median of 920 views. The 19 reels since 5 July 2026 have a median of 82,652. On the mean it is 141.8 times, 1,722 against 244,205. Both figures are on this page because the median is the one that describes a typical reel.

That is the right question and it has a clean answer. The biggest reel is 40% of the window's views and the top two are 59%. So take the biggest one out of the dataset altogether: the median lift is still 84.1 times and the mean lift is still 89.7 times. 17 of the 19 reels beat her all-time best of 20,671, set over three years of publishing. The smallest reel of the run did 9,796, which is more than ten times her career median.

No, and it is worth being straight about it. The 9 reels in July had a median of 217,703. The 10 in August have a median of 53,672, about a quarter of it. That is a real decline over a short window. It is also still 58 times her career median, so the floor has moved even as the ceiling has come down. Reach per reel is the open question on this account and we would rather write that than wait for you to find it.

The visible change is the caption. Of the 19 reels immediately before we started, 18 had no caption at all beyond a string of hashtags, and 6 of them were fundraising posts rather than nursing content. Every one of the 19 reels since carries a written caption making one specific point and ending in a single word to comment. That is our house rule and you can scroll her grid and watch it start.

Yes. 500 before we started, 10,119 now, so 20.2 times and 9,619 new followers in seven weeks. The current figure is from a scrape of the profile on 24 August 2026 and you can check it yourself. The starting figure is ours, from managing the account, rather than from an archived snapshot, so we will say plainly that it is a number you are taking on our word. What can be checked is that it reconciles: 9,619 followers off 4,639,898 views is a 0.21% follow rate, which is ordinary for Reels, and a median of 920 views on a 500-follower account is exactly what you would expect.

On its own, no. 19 reels over 47 days is a short run and one strong month can flatter any account. What makes this one worth publishing early is the size of the before period: 191 reels over 39 months is the longest baseline we have on any client, so the thing being compared against is not a guess. The most conservative cut available compares our 19 against her last 19, published that June, and it is still 35.9 times on the median.

Journeys worked and procedure did not, with no overlap between them. 10 of the 19 reels are a route, an origin story or a comparison of nursing in one country against another, and they have a median of 223,970 views and 91% of the total. 5 are licensing procedure, and they have a median of 52,206. The weakest journey reel beat the strongest procedure reel, and all eight reels over a hundred thousand are journeys. The procedure content still matters, because it is what somebody needs after they have decided, and the two reels that dropped back under her old best are the two most procedural on the account.

Hers. Mandeep is a registered nurse who has practised in India and Canada, and the account is her voice: we script, edit and publish it with her. Where a reel puts something on screen about pay, timelines or the route into Canada, that is her statement about her own field. This page reports what her reels reached, and it does not restate any of her claims as ours.

No. We measured views, comments and likes. We have not seen her enrolment numbers and we do not report on outcomes we cannot audit. Her own marketing makes claims about the nurses she has helped and their results, and those are hers to make and hers to stand behind.

Every figure here is organic Instagram, with no boosting behind it. We do sell Meta and Google campaigns as a separate service and we report the two apart. Facebook is not included, and this is a full scrape of the Instagram profile taken on 24 August 2026.

What this Mandeep Dhaliwal case study proves

191 reels over 39 months at a median of 920 views, then 19 reels at a median of 82,652. It is the largest lift we have measured on any account, and the part worth carrying into the next one is that the median moved almost as far as the mean did. Delete her biggest reel from the dataset and the median lift is still 84.1 times. Set against that, August is running at a quarter of July, which is the open question here and is written up above rather than left out. The method is on our case studies page, and the account with the closest before period to hers is the Varun Kalia case study, a realtor who had published 186 reels himself before we started.

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