1,227
Sales calls booked
Since January 2024. Every call booked with us, held or cancelled
What our data says
We sell one thing: how to sell more online. So rather than tell you we measure things, here is what our own measuring actually found. Some of it contradicts the standard advice. Take any of it and use it.
You should be able to look at how someone works before you book a call with them. This is that. It rebuilds itself every week from the same file the work runs on, and the part most people leave out is at the bottom: what we still cannot measure.
Last updated 2026-09-07. Counted, not estimated. Updated every week.
What we found
All four are from our main Instagram account, 1,680 posts. We have not run the same test on the other platforms yet.
Carousels start conversations. Reels get seen.
Reels average 798 likes against 225 for carousels and photos, so reels win reach comfortably. Flip it to comments and it reverses: 12 per carousel versus 45 per reel. That matters because a comment, not a view, is what becomes a lead.
Based on 1,665 reels and 106 carousels/photos.
The longer opening line beat the punchy one.
Openings of 80 to 150 characters average 1,012 likes on reels and 411 on carousels. Openings under 40 characters average 793 and 341. Short and snappy lost in both formats. Enough of the idea to be worth stopping for seems to beat a clever fragment.
Based on 1,120 long openings, 153 short ones.
Half our posts do almost nothing. That is the normal shape.
The average post gets 724 likes. The MEDIAN post gets 46. The best got 86,232. The average is dragged up by a handful of outliers, which is why an average is the easiest number to hide behind. Anyone showing you their average and not their median is showing you their best day.
Based on 1,988 posts.
The word you ask for moved the rate more than we expected
Every post asks people to comment a word. We tracked which word turned into an actual lead across 307 posts, and the spread was much wider than we expected.
“AUDIT” turned into a real lead 52% of the time. “PRESETS” managed 6%. Same account, same audience, same effort, 8 times the result.
| The word | Posts | Comments | Became a lead | Rate | |
|---|---|---|---|---|---|
| AUDIT | 66 | 266 | 139 | 52% | |
| COURSE | 43 | 164 | 76 | 46% | |
| STUDIO | 28 | 135 | 48 | 36% | |
| TRAINING | 59 | 232 | 65 | 28% | |
| EDITOR | 47 | 224 | 45 | 20% | |
| VALUE | 12 | 65 | 7 | 11% | |
| PRESETS | 52 | 264 | 17 | 6% |
Swipe the table sideways to see every column.
Read it with the obvious catch in mind: each word sits behind a different offer, so part of this gap is what people were asking for, not the word itself. We store up to six comments per post, so the comment counts are a floor. The rate is the finding. Tests with fewer than ten posts are left out rather than dressed up as a result.
What we cannot measure yet
The useful half of measuring anything is knowing where you are blind. These are ours, in public, until they are fixed.
The calibre of the people who come to us
We count how many. We do not yet count who. One enquiry from an operator running eight figures is worth more than a hundred that are curious, and right now our own numbers cannot tell those apart. This is the one we are building next, and until it exists, treat every volume number on this page as exactly that: volume.
Clicks on the links we send
No tracking on outbound links yet, so a click is not counted anywhere.
What visitors actually do on this site
We can see visits and roughly how long people stay. None of it is wired into this page yet, so nothing here is drawn from it.
Who actually turns up to a booked call
We briefly thought we had this. The old booking tool has a no-show checkbox, and almost every call came back clean, which looked like a very high show-up rate. Then we checked how the field works: it defaults to clean and only changes if someone goes back and ticks it, and nobody ever did. So a blank meant nothing at all, not attendance. A show rate built on it was already written into this page and we pulled it the same day. Booked we can prove. Turned up we cannot, on either system.
What it is drawn from
None of the above is worth much without knowing how much data sits under it. This is the sample, not the argument.
111,529
Comments our posts received
Since April 2016. Counted on our own posts, across Instagram, Facebook, YouTube and TikTok. We store at most six comment texts per post, so this is what we received, not what we read
5,018
Posts analysed
Instagram, Facebook, YouTube and TikTok, every post we have pulled
180,684
People following the work
Instagram, Facebook, YouTube and TikTok combined. Threads adds about 20,600 more, and we leave it out of this total on purpose: Threads seeds itself from the Instagram account, so counting it would count most of the same people twice
7,690
People who asked us for something
Asked for something of ours, rather than being imported
Sources: our CRM calendars for calls, our own post data for comments and reach, the live platform APIs for audience. Where a record started later than the work did, we publish the count we can prove rather than an estimate of the rest. We would rather under-claim.
Want this pointed at your business
Bring your own numbers to the call. We will tell you what they say.