@mia.props
daily412K6.4xbreakoutMia Props · tiktok
social media monitoring
a manual watchlist only shows you the accounts you already know. 2mv studio records each tracked creator and video against its own baseline, then scans beyond that list for new short-form outliers while they are still gaining speed.
notifications ready: breakouts, distribution anomalies and niche discoveries can go to slack, discord, lark or feishu.
4 creators
@glowlab
weekly22K0.6xslippingGlow Lab · reels
@ourbrand
daily1.1K0.1xsuspected anomalyyour account · tiktok
@quietwealth
weekly87K1.1xsteadyQuiet Wealth · shorts
this panel is an illustration of the monitor view. numbers here are examples, not live data.
why monitor01 02 03
manual checks turn fast signals into late decisions
a monday screenshot cannot show when momentum started, whether 120K views is unusual for that account, or what broke out beyond the profiles you remembered to open.
late discovery costs the first response
when a format finally reaches your personal feed, faster teams have already filmed their second version. the useful window was earlier.
raw views create false winners
120K views can be a collapse for a large account and a breakout for a small one. the creator's own recent median separates reach from real outperformance.
distribution problems arrive silently
one weak upload proves nothing. several near-zero deliveries with a stable follower base form a pattern that a weekly glance cannot reveal.
monitoring workflow
maintain the known set, expand it with new evidence
tracking and discovery use different inputs. one builds a reliable history around selected creators and videos. the other searches outside that set for emerging outliers.
01 · keep tracking
turn selected creators and videos into a time series
send a creator, competitor, owned account or individual video from discover into tracking. 2mv studio records scheduled snapshots and automatically adds new uploads from tracked creators.
- choose hourly, daily or weekly snapshots for each row
- compare every result with that account's recent 10-post median
- separate sustained movement from a single unusual upload
tracked creators live
@mia.props
breakoutdaily, 184K followers
@glowlab
slippingweekly, 96K followers
@ourbrand
suspected anomalydaily, your account
@quietwealth
steadyweekly, 310K followers
02 · keep finding
scan beyond the creators already on your list
keep watching a niche from discover and 2mv studio continues checking tiktok, instagram reels and youtube shorts for posts that outperform their source account.
- surface outliers from accounts you did not know to follow
- rank small and large creators against their own normal range
- move a discovery into tracking or analysis for the next decision
found in your niches live
three step money reveal
new format3 accounts this week
@ledgerlia, 1.4M views
outlier12.8x own median
#sinkingfunds heating up
risingtag volume up 3x
@spendsense went quiet
watchno posts in 14 days
decision signals
read movement, not a pile of lifetime totals
each signal combines a definition, a comparison window and a decision. that is what makes monitoring useful between uploads.
- recent 10-post median
- sets an account-specific reference point, so a small creator's 40K post can outrank a large creator's ordinary 400K post.
- view velocity
- compares how quickly reach is still accumulating after publish, helping separate an accelerating post from one that has already flattened.
- cadence break
- flags a creator who stops, accelerates or changes posting rhythm, giving a team context before it interprets performance changes.
- distribution anomaly
- requires a sequence of unusually low deliveries against a stable audience. it signals suspected throttling, never a verdict from one weak post.
- cross-account format spread
- detects the same hook or structure clearing baseline across unrelated creators, which is stronger evidence than one isolated hit.
- channel-ready evidence
- sends the source link, baseline multiple and event type to slack, discord, lark or feishu, ready for a team to review without copying data by hand.
decision feed
every alert should explain why it deserves attention
a useful alert carries the event, its comparison point, its current velocity and a next check. the feed below shows how raw changes become decisions.
breakout
a product demo reopened after day two
4.8x baseline and daily velocity rose again. inspect the comment prompt before adapting the format.
distribution
reels delivery broke its normal range
five uploads stayed below 0.2x median while followers held. check account status before changing the creative.
new in niche
desk-reset hook crossed three accounts
three unrelated creators cleared 3x baseline in 48 hours. save the pattern before the niche fills with copies.
cadence
a weekly publisher missed two cycles
fourteen quiet days after a stable three-post cadence. review the open publishing gap in the shared topic set.
slipping
the before-and-after format is decaying
four consecutive posts lost velocity and stayed below median. remove it from next week's production slate.
the feed changes with the accounts you track and the niches you watch.
how it fits
find it, watch it, then take it apart
each tool answers a different question in the same workflow. use the boundary below to choose the right starting point.
questionsocial media monitoringviral video finderai video analyzer
what you bring
accounts, videos and niches worth watching
a topic, a page, a hashtag or one video
a single video link
what comes back
time series, anomaly flags and niche discoveries
a ranked set of outliers and the pattern they share
one post decoded beat by beat
when it runs
continuously, in the background
when you run a search
when you ask
what it answers
what changed while i was not looking
which videos matter right now
why this one worked
who uses it
the decisions monitoring shortens
- agency weekly account review
- read a client's movement against five direct competitors before the monday call, without rebuilding the comparison from screenshots.
- creator distribution diagnosis
- compare a weak upload with the recent series before rewriting the concept. a content miss and a delivery anomaly need different responses.
- in-house format timing
- confirm that a structure is spreading across unrelated accounts before assigning production, while the niche still has room for another version.
- brand creator due diligence
- watch a shortlist through several uploads before signing a campaign. recent direction is more useful than a lifetime follower total.
questions about monitoring
no. one low-view post cannot prove a shadow ban, and 2mv studio does not present it as certainty. a sustained run of abnormal delivery against a stable follower base is flagged as a suspected distribution anomaly for review.
no. tracking follows the creators and videos you select, while the niche scan looks beyond that watchlist for new posts that outperform their source account. both can appear in the same alert feed.
tracking builds a time series for a known creator or video. scanning searches a watched niche for unknown outliers. use tracking to measure change and scanning to expand what deserves attention.
yes, and most people should. your account sits in the same table as the competitors you measure against, so the comparison uses the same method for both sides.
tiktok, instagram reels and youtube shorts. tracked rows and scan results are labelled by platform, so you can tell whether a format is working everywhere or only in one place.
no. social listening usually tracks brand mentions, sentiment and conversations. this page covers short-form performance monitoring: account baselines, video velocity, cadence changes and new niche outliers.
you choose the schedule per row, from hourly for a video that is currently moving to weekly for an account you only want a trend line on. new uploads from a tracked creator get their own schedule from the moment they appear.
move a breakout into the ai video analyzer, add an unfamiliar creator to tracking, compare the format across the watched niche, or leave the signal in the feed until the next scheduled check confirms the direction.
Viral
no longer a mystery.
Start getting full visibility into what makes content go viral.