SaaS — topic-perf-saas — Temerarii Media Back Office

post topic-perf-saaskind topicweek —date —campaign performance-pillarpillar performancebeat —asset videoduration 54.7sground blackscenes 9

Checklist the per-video bar — engine/sim

95.7/100

plain languagevo coverageno dead airuniquenesscaption fitcompletenesscleanliness

quantitative quality · weights learn from your reviews (engine.sim.memory review topic-perf-saas good|bad)

⚠ 2 flag(s) — not yet ship-ready: copy_generictoo_complex · see docs/strategy/VIDEO-CHECKLIST.md

Composition comp · template family · expected output

composition SceneReelfamily / template SceneReel

9:16 Reelrendered1:1 Squarepending16:9 Widepending9:16 4Kpending1:1 4Kpending16:9 4KpendingGIF (SMS)pending

▶ open rendered mp4

expected output: 1/7 rendered — same matrix the /media preview surfaces for this asset.

Composition layer × scene 9 scenes · 54.7s · comp_id + rendered still + tier + the script

#	Layer (comp_id · still · tier)	Beat	Timecode	Motion	Logo	Audio	VO / on-screen / caption
1	still pending matches intent shared field signature-3d	open	0–6.1s	spatial-parallax	icon·liquid-chrome	♪ —	For SaaS the whole game is the trial: the first week decides whether someone pays or vanishes. on-screen: SaaS lives or dies on the trial
	expected on screen: black ground · dodeca hero in the shared Signal Field · Mensor leads · node-graph · spatial-parallax · icon·liquid-chrome logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldvisual node-graphshape dodecaground blacktreatment liquid-chromemotion spatial-parallaxpower summoninstrument summon→three-mark
2	still pending matches intent ComparisonTable template	legacy	6.1–11.5s	crossfade-8f	icon·ember-fill	♪ —	The old way gave every new signup the same tour, whether they were a founder or a finance lead. on-screen: Old way: same onboarding for everyone
	expected on screen: black ground · a ComparisonTable panel over a dimmed Signal Field · Mensor leads · crossfade-8f · icon·ember-fill logo · caption bottom-left spec (the prompt): comp_id ComparisonTableshape dodecaground blacktreatment ember-fillmotion crossfade-8fpower morphinstrument decay→three-symboliccurate colA, colB, rows
3	still pending matches intent NumberedList template	teach	11.5–17.9s	kinetic-build	icon·wireframe	♪ —	Step one, we read the signup details and route each user toward the feature their role actually needs first. on-screen: Step 1
	expected on screen: black ground · a NumberedList panel over a dimmed Signal Field · Mensor leads · node-graph · kinetic-build · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id NumberedListvisual node-graphshape dodecaground blacktreatment wireframemotion kinetic-buildpower morphinstrument morph+laser→html-in-canvas-panelcurate items, nodes
4	still pending matches intent ChecklistCard template	teach	17.9–24.7s	kinetic-build	icon·white-knockout	♪ —	Step two, the model writes a specific in-app nudge for the moment a user stalls, not a generic banner. on-screen: Step 2: model writes the in-app nudge
	expected on screen: black ground · a ChecklistCard panel over a dimmed Signal Field · Mensor leads · node-graph · kinetic-build · icon·white-knockout logo · caption bottom-left spec (the prompt): comp_id ChecklistCardvisual node-graphshape dodecaground blacktreatment white-knockoutmotion kinetic-buildpower morphinstrument morph+laser→three-diagramcurate items, nodes
5	still pending matches intent BlueprintGrid template	teach	24.7–31.2s	kinetic-build	icon·liquid-chrome	♪ —	Step three, a model scores usage patterns and flags the accounts quietly drifting toward cancellation. on-screen: Step 3
	expected on screen: black ground · a BlueprintGrid panel over a dimmed Signal Field · Mensor leads · node-graph · kinetic-build · icon·liquid-chrome logo · caption bottom-left spec (the prompt): comp_id BlueprintGridvisual node-graphshape dodecaground blacktreatment liquid-chromemotion kinetic-buildpower morphinstrument morph+laser→html-in-canvas-codecurate nodes, rows
6	still pending matches intent LegacyCard template	teach	31.2–37.6s	kinetic-build	icon·ember-fill	♪ —	Step four, a flagged account triggers a tailored win-back through the API, fired the day risk spikes. on-screen: Step 4: trigger the save, via API
	expected on screen: black ground · a LegacyCard panel over a dimmed Signal Field · Mensor leads · node-graph · kinetic-build · icon·ember-fill logo · caption bottom-left spec (the prompt): comp_id LegacyCardvisual node-graphshape dodecaground blacktreatment ember-fillmotion kinetic-buildpower morphinstrument morph+laser→three-flowcurate nodes
7	still pending matches intent KpiGrid template	proof	37.6–43.6s	receipts-count	icon·wireframe	♪ —	The trial-to-paid rate before and after the changes is right there, plain numbers, no rounding up. on-screen: Receipts: trial-to-paid moved [receipt: conversion]
	expected on screen: black ground · a KpiGrid panel over a dimmed Signal Field · Mensor leads · receipts · receipts-count · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id KpiGridvisual receiptsshape dodecaground blacktreatment wireframemotion receipts-countpower receiptsinstrument spotlight→html-in-canvas-receiptscurate kpis, statsLabels
8	still pending matches intent shared field signature-3d	futurist	43.6–48.800000000000004s	spatial-parallax	icon·white-knockout	♪ —	Soon the onboarding rewrites its own steps from what last week's users actually clicked. on-screen: Next: onboarding that builds itself
	expected on screen: black ground · dodeca hero in the shared Signal Field · Mensor leads · spatial-parallax · icon·white-knockout logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldshape dodecaground blacktreatment white-knockoutmotion spatial-parallaxpower spatial-parallaxinstrument laser-fire→three-forward
9	still pending matches intent shared field signature-3d	resolve	48.8–54.699999999999996s	coalescence	icon·liquid-chrome	♪ swell	Pick one onboarding step and split it by role this week. Smallest change, biggest leak fixed. on-screen: Tailor one onboarding step by role
	expected on screen: black ground · dodeca hero in the shared Signal Field · Mensor leads · coalescence · coalescence · icon·liquid-chrome logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldvisual coalescenceshape dodecaground blacktreatment liquid-chromemotion coalescencepower coalescenceinstrument coalescence→three-coalescence

Format stack 3 aspects · same scenes[], re-cropped

9:16

1080×1920

Stories · TikTok · YouTube Shorts · Reels

1:1

1080×1080

LinkedIn · Facebook · Instagram

16:9

1920×1080

X/Twitter · YouTube · LinkedIn video

Channels 12 destinations

LinkedInX/TwitterYouTubeInstagramFacebookThreadsTikTokPinterestBlueskyEmailSMSBlog

Social captions supplemental published copy · per channel (comp_id level)

tiktokFor SaaS the whole game is the trial. The first week decides who pays and who vanishes. (AI-assisted) The method: read the signup details and route each user to the feature their role needs first. The model writes a specific in-app nudge for the moment they stall, not a generic banner. Score usage patterns to flag accounts drifting toward cancel. Fire a tailored win-back through the API the day risk spikes. Do one thing: pick one onboarding step and split it by role this week.

instagramFor SaaS, the trial is the whole game. The method: Route new users by their role, not a generic tour Write the nudge for the moment they stall Score usage to flag quiet churn Fire a win-back via API when risk spikes The trial-to-paid rate sits right there, no rounding up. #saas #productled #onboarding #aimarketing #temerarii

linkedinFor SaaS, the whole game is the trial. The first week decides whether someone pays or vanishes. Here is how we run trial conversion now, in full: 1. Read the signup details and route each user toward the feature their role actually needs first. 2. The model writes a specific in-app nudge for the moment a user stalls, not a generic banner. 3. A model scores usage patterns and flags the accounts quietly drifting toward cancellation. 4. A flagged account triggers a tailored win-back through the API, fired the day risk spikes. The takeaway: stop giving every signup the same tour. Route by role and act on stall signals. The trial-to-paid rate before and after the changes is right there, plain numbers, no rounding up. This week: pick one onboarding step and split it by role. Smallest change, biggest leak fixed.

xFor SaaS the whole game is the trial. Route new users by role, not a generic tour. Write the nudge for the moment they stall. Score usage to flag quiet churn. Fire a win-back via API when risk spikes. Split one onboarding step by role this week. Biggest leak fixed.

facebookFor SaaS, the whole game is the trial. The first week decides whether someone pays or vanishes. The full method: read the signup details and route each user to the feature their role needs first. Let the model write a specific in-app nudge for the moment they stall, not a generic banner. Score usage patterns to flag accounts drifting toward cancel. Fire a tailored win-back through the API the day risk spikes. This week: pick one onboarding step and split it by role.

threadsFor SaaS the whole game is the trial. The first week decides who pays and who vanishes. Route new users by role, not a generic tour. Write the nudge for the moment they stall. Score usage to flag quiet churn. Fire a win-back via API when risk spikes. Split one onboarding step by role this week.

pinterestSaaS trial conversion method: route new signups by their role, write in-app nudges for the moment users stall, score usage to flag quiet churn, and fire tailored win-backs through an API. A give-it-away guide to lifting trial-to-paid conversion in product-led SaaS.

blueskyFor SaaS the whole game is the trial. Route new users by role, not a generic tour. Write the nudge for the moment they stall. Score usage to flag quiet churn. Fire a win-back via API when risk spikes. Split one onboarding step by role this week. Biggest leak fixed.

youtubeSaaS Trial Conversion: Role Routing, Stall Nudges, Churn Scoring, API Win-Backs For SaaS, the whole game is the trial. The first week decides whether someone pays or vanishes. Here is the full method, given away. The steps: 1. Read the signup details and route each user toward the feature their role actually needs first. 2. The model writes a specific in-app nudge for the moment a user stalls, not a generic banner. 3. A model scores usage patterns and flags the accounts quietly drifting toward cancellation. 4. A flagged account triggers a tailored win-back through the API, fired the day risk spikes. The trial-to-paid rate before and after the changes is right there, plain numbers, no rounding up. What is coming: onboarding that rewrites its own steps from what last week's users actually clicked. Your one next step: pick one onboarding step and split it by role this week. Smallest change, biggest leak fixed. Method over hype. Receipts over claims.

Cross-links every lens is a view on this one record

→ Wireframe · scenes → Calendar week → Media (audience preview)→ Storyboard hub → Day view → Channel view