Social — W27 Sun — Temerarii Media Back Office

postW27-Sun-social-1kindSocialweekW27daySundate2026-07-05campaignhub-launchcadence5/day floor × 9 channels

Copy the published post text

Data & Analytics for Marketers

copy ready · render pending

Output-policy spec format · dimensions (asset_specs.output_policy)

formatnative cut · 9:16 · 1:1 · 16:9 dims1080×1920 · 1080×1080 · 1920×1080 cadence5/day floor × 9 channels

Channels 9 destinations

TikTokInstagramLinkedInX/TwitterFacebookThreadsPinterestBlueskyYouTube

This post a distinct social asset — its own angle, storyboard, and cuts

social-W27-Sun-1

5-distinct-social/day · 9:16 master → 1:1 / 16:9 cuts per channel

Channel-cuts this asset → 9 native captions (one master · per-platform aspect+copy)

Channel	Native caption
Tiktok	How marketers read their own data without a stats degree (AI-assisted). Turn on the free GA4 to BigQuery export, ask a model to write the SQL, then let it score tonight's leads overnight. You wake up to a short list, not a 200-row spreadsheet. Reports tell you what happened. A model tells you what's next.
Instagram	Stop dreading the dashboard. GA4 to BigQuery, free export. Ask a model for the SQL. Score leads overnight. Wake up to a short list. #marketinganalytics #ga4 #bigquery #aimarketing #datadriven
Linkedin	Most marketing teams treat analytics like a dental visit: necessary, dreaded, over fast. The practical move for W27: 1. Turn on the free GA4 to BigQuery export so every event lands in a queryable table. 2. Use a model to translate plain-English questions into SQL. You stop waiting on an analyst. 3. Feed a quarter of closed deals into a small scoring model and let it rank tonight's leads overnight. The difference: a report describes the past. A scoring layer points at the twelve leads worth calling tomorrow instead of the two hundred sitting in a sheet. This is AI-assisted, and we disclose it. The takeaway is ownership: your team should be able to ask its own data a question and get an answer the same day.
X	Turn on the free GA4 to BigQuery export. Ask a model to write the SQL. Let it score tonight's leads overnight. You wake up to 12 calls worth making, not 200. temerarii.com
Facebook	Most marketers treat the dashboard like a dental visit. Here's a calmer way: turn on the free GA4 to BigQuery export, ask a model to write the SQL for your questions, then let a small model score tonight's leads overnight. You wake up to a short call list instead of a giant spreadsheet. Want the setup? Visit temerarii.com.
Threads	You don't need a stats degree to read your own numbers. Turn on the free GA4 to BigQuery export, have a model write the SQL, and let it score tonight's leads overnight. Wake up to 12 calls worth making, not 200.
Pinterest	Marketing analytics for non-analysts: GA4 to BigQuery free export, AI-written SQL, and overnight lead scoring. A simple, evergreen workflow to turn raw event data into a short, prioritized call list every morning. Predictive marketing data made plain.
Bluesky	Turn on the free GA4 to BigQuery export, have a model write the SQL, and let it score tonight's leads overnight. Wake up to the 12 calls worth making, not 200. temerarii.com
Youtube	Marketing Analytics Without a Stats Degree: GA4, BigQuery & AI Lead Scoring Most marketers dread the dashboard. This walks through a calmer, more useful path: turn on the free GA4 to BigQuery export so every event becomes queryable, use a model to translate plain-English questions into SQL, and feed a quarter of closed deals into a small scoring model that ranks tonight's leads overnight. A report tells you what happened. A scoring layer tells you which twelve leads to call tomorrow. AI-assisted and disclosed. Learn more at temerarii.com.

Composition layer × scene 9 scenes · this post's OWN storyboard (distinct per asset)

#	Layer (comp_id · still · tier)	Beat	Timecode	Motion	Logo	Audio	VO / on-screen / caption
1	still pending matches intent shared field signature-3d	open	0–5.5s	spatial-parallax	icon·liquid-chrome	♪ bed_in	Most marketers still treat a dashboard like a dentist visit. Necessary, dreaded, over fast. on-screen: Most marketers fear the data
	expected on screen: black ground · knot hero in the shared Signal Field · Magister leads · node-graph · spatial-parallax · icon·liquid-chrome logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldvisual node-graphshape knotground blacktreatment liquid-chromemotion spatial-parallaxpower summoninstrument summon→Most marketers fear the data
2	still pending matches intent shared field signature-3d	hook	5.5–12.8s	kinetic-build	icon·wireframe	♪ node_lock	Here is the part nobody tells you. You do not need a stats degree to read your own numbers. on-screen: You don't need a data degree
	expected on screen: black ground · knot hero in the shared Signal Field · Magister leads · mark · kinetic-build · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldvisual markshape knotground blacktreatment wireframemotion kinetic-buildpower laser-lockinstrument laser-trace→You don't need a data degree
3	still pending matches intent NumberedList template	teach	12.8–20.1s	kinetic-build	icon·wireframe	♪ node_lock	Turn on the free GA4 to BigQuery export, and every click lands in a table you can actually query. on-screen: Pipe GA4 events to BigQuery
	expected on screen: black ground · a NumberedList panel over a dimmed Signal Field · Magister leads · node-graph · kinetic-build · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id NumberedListvisual node-graphshape knotground blacktreatment wireframemotion kinetic-buildpower morphinstrument morph+laser→Pipe GA4 events to BigQuerycurate items, nodes
4	still pending matches intent RankList template	proof	20.1–27.400000000000002s	receipts-count	icon·wireframe	♪ node_lock	Then ask a model to write the SQL for you. You type a question, it hands back the query. on-screen: Ask the table in plain words
	expected on screen: black ground · a RankList panel over a dimmed Signal Field · Magister leads · receipts · receipts-count · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id RankListvisual receiptsshape knotground blacktreatment wireframemotion receipts-countpower receiptsinstrument spotlight→Ask the table in plain wordscurate rows, statsLabels
5	still pending matches intent BuildLog template	diff	27.4–34.699999999999996s	crossfade-8f	icon·wireframe	♪ node_lock	A normal report tells you what happened. Wire a model on top and it tells you what comes next. on-screen: Reports describe, this predicts
	expected on screen: black ground · a BuildLog panel over a dimmed Signal Field · Magister leads · code · crossfade-8f · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id BuildLogvisual codeshape knotground blacktreatment wireframemotion crossfade-8fpower morphinstrument morph→Reports describe, this predictscurate codeLines, lines
6	still pending matches intent ChecklistCard template	teach	34.7–41.7s	kinetic-build	icon·wireframe	♪ node_lock	Feed last quarter of deals into a small model and let it score tonight's leads while you sleep. on-screen: Score every lead nightly
	expected on screen: black ground · a ChecklistCard panel over a dimmed Signal Field · Magister leads · node-graph · kinetic-build · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id ChecklistCardvisual node-graphshape knotground blacktreatment wireframemotion kinetic-buildpower morphinstrument morph+laser→Score every lead nightlycurate items, nodes
7	still pending matches intent StatScoreboard template	proof	41.7–48.0s	receipts-count	icon·wireframe	♪ node_lock	Now your team calls the twelve leads it flagged, not the two hundred in the spreadsheet. on-screen: Chase the 12 it flags
	expected on screen: black ground · a StatScoreboard panel over a dimmed Signal Field · Magister leads · receipts · receipts-count · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id StatScoreboardvisual receiptsshape knotground blacktreatment wireframemotion receipts-countpower receiptsinstrument spotlight→Chase the 12 it flagscurate pillar, stats, statsLabels
8	still pending matches intent WireframeMock template	step	48.0–55.3s	kinetic-build	icon·wireframe	♪ node_lock	So the move is simple. Export to BigQuery, ask in plain words, score leads, act on the short list. on-screen: Step: export, query, score, act
	expected on screen: black ground · a WireframeMock panel over a dimmed Signal Field · Magister leads · pipeline · kinetic-build · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id WireframeMockvisual pipelineshape knotground blacktreatment wireframemotion kinetic-buildpower throwinstrument laser-trace→Step: export, query, score, actcurate stages, steps
9	still pending matches intent shared field signature-3d	resolve	55.3–63.0s	coalescence	icon·liquid-chrome	♪ bed_out	That is data that works the night shift. The Big T-M builds the pipe so you just read the answer. on-screen: Data that works the night shift
	expected on screen: black ground · knot hero in the shared Signal Field · Magister leads · coalescence · coalescence · icon·liquid-chrome logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldvisual coalescenceshape knotground blacktreatment liquid-chromemotion coalescencepower coalescenceinstrument coalescence→Data that works the night shift

Cross-links this post in the day's output set

→ Day (full output set) → Source video → Media (audience preview) → Calendar → Storyboard hub