01
a baseline turns luck into evidence.
you cannot call a post a winner without knowing what that account usually does. reading the whole catalogue sets the normal range first, so the outliers stop being guesswork.
drop in a handle and 2mv studio reads that creator across tiktok, instagram and youtube at once: what they publish, how often, which posts broke their own baseline, and the formula underneath it that you can shoot yourself.
a single breakdown explains why one post worked. an account read explains whether it was a format or an accident, which is the only version worth copying.
01
you cannot call a post a winner without knowing what that account usually does. reading the whole catalogue sets the normal range first, so the outliers stop being guesswork.
02
posting rhythm shows what the creator has decided to be reliable about. it also shows what they quietly dropped after it stopped working, which is often the most useful part.
03
the tiktok cut, the reels version and the shorts edit are rarely the same decision. seeing all three side by side shows which choices are the format and which are just platform habits.
the same read runs on any public account, yours or a competitor's, so two profiles can be compared without swapping methods halfway.
output pattern
core
What the account actually makes, grouped into formats rather than counted as posts, so the repeatable shape becomes visible.
cadence and consistency
core
How often posts land, whether the rhythm holds through slow weeks, and whether the strong posts cluster or arrive at random.
hook habits
core
The opening moves the account reuses across its catalogue, and which of them show up most often on the posts that travel.
outliers versus baseline
core
The account's own normal range, then the posts that broke it, and what those posts share that the baseline posts do not.
topic territory
high
The subjects the account owns, the ones it borrows, and where it drifts away from the audience it already trained.
audience signal
high
Who reacts, which posts pull comments instead of passive views, and whether new arrivals stay for the next post.
growth trajectory
high
The direction of travel across recent months, and whether any lift traces back to a format change or a single lucky post.
reusable formula
output
The account's pattern written as something you can shoot: structure, length, hook device, pacing and closing move.
the read dimensions stay the same across platforms. what changes is the evidence each platform makes public, so the analysis leans on different surfaces per account.
catalogue shape
TikToka single feed of short posts, so format changes are easy to date.
Instagramreels, carousels and grid posts mixed, so the format split matters.
YouTubeshorts and long form side by side, plus playlists and series naming.
hook surface
TikTokfirst frame plus spoken opener and on-screen text.
Instagramcover frame, first line of the caption and the opening beat.
YouTubetitle and thumbnail on long form, anti-swipe frame on shorts.
cadence evidence
TikTokpost dates across the feed show rhythm and gaps clearly.
Instagramrhythm reads per format, since reels and grid often run on separate clocks.
YouTubeupload dates plus run length show how much production each slot costs.
audience reaction
TikTokcomment threads and duet or stitch activity on the strong posts.
Instagramcomment tone and saves language, the keep it for later signal.
YouTubecomment depth on long form, where viewers write more than a line.
reuse potential
TikTokfastest to test a format, cheapest to be wrong on.
Instagrambest for turning one winning idea into several formats.
YouTubebest for proving a series can carry attention past a minute.
TikTok profile analyzer
tiktok
format families, posting rhythm, opening moves and the outlier posts that broke the feed's own baseline.
open →Instagram profile analyzer
reels, carousels and grid read separately, so the reach format and the keep format stop getting mixed up.
open →YouTube channel analyzer
youtube
series structure, upload cadence, title and thumbnail patterns, plus the shorts to long form handoff.
open →step 01
Start with what this account normally does: format, length and rhythm. Everything after this is measured against that line, not against the platform at large.
step 02
Pull the posts that broke the baseline and put them next to each other. What they share is the candidate format; what they do not share is noise.
step 03
Write the shared structure as a sentence you could hand to an editor. If it cannot be written as a shooting instruction, it is not a pattern yet.
step 04
Pick the version of that pattern you can film with your own subject and setting, then post it into your own cadence rather than replacing your whole plan.
these are the numbers people quote about profiles, and what each one can honestly support as a decision.
followers
Accumulated audience, built over the account's whole history.
Context only. Never read it without recent per-post reach next to it.
average views per post
The account's current baseline reach.
The line every outlier is measured against. It is the first number to establish.
engagement rate
Reactions relative to reach or audience size.
Read as a trend for that one account. Cross-account comparisons need the same size and niche.
posting cadence
How often posts land, and how steady the gaps are.
Tells you the production cost of the strategy before you try to match it.
outlier ratio
How many posts clear the baseline by a wide margin.
A high ratio means a format is working. A single spike means one idea got lucky.
saves and shares
Keeps and forwards on the strong posts.
Saves point to reference value; shares point to expansion. They call for different formats.
follower count tells you how strong an account is.
Followers record the past. What a post reaches now depends on the format, so a smaller account with a working formula is the better thing to study.
posting more is a strategy.
Cadence only compounds once the format holds. Volume on a weak format trains the wrong audience and makes the account harder to correct later.
one viral post proves the account cracked it.
Until a second post of the same shape lands in range, the format is unproven. The account read is what separates a repeatable move from a one-time hit.
you should copy the biggest account in the niche.
The biggest account often coasts on recognition you do not have. The accounts worth copying are the ones whose recent posts outperform their own history.
engagement rate is a single truth.
The same rate means different things at different sizes and in different niches. Read it against that account's own trend instead of a published benchmark.
Native dashboards tell you what happened on your own posts. Reading an account as a body of work tells you which shape produced it, and it works on the accounts you cannot log into, which is where the next format usually comes from.
It reads a public account as a body of work rather than a list of posts: the formats it repeats, how often it publishes, which posts beat its own baseline, and the shooting formula those posts share.
Yes. Enter a handle and 2mv Studio looks for that creator on TikTok, Instagram and YouTube, then reads each account with the same dimensions so the three can be compared directly.
Yes, as long as the account is public. The read uses published posts, so no dashboard access is needed and competitor accounts work exactly like your own.
The video analyzer decodes one post beat by beat. The profile analyzer reads the whole account to tell you whether that post was a format or an accident.
No. The analysis stays on public posts and the patterns inside them. It does not pull follower lists, private insights or personal data.
Start from the baseline, look at the outliers, write the shared structure as a shooting instruction, then film your own version of it inside your existing cadence.
Start getting full visibility into what makes content go viral.