SHEPLAYZ
◆ Internal · spec · what we need from YouTube → the brand report
What brands
need to see
The strategy rests on a future asset — the owned intelligence stack the portal fills. But brands are looking now, and the plan has no present-tense proof point. This is it: YouTube is the only asset that can produce a brand-grade audience report today — before a line of the portal or the capture pipeline exists. This page identifies exactly what we pull from YouTube, maps it to what a buyer needs to see, and links it back to the stack it's building toward.
already in the plan
Role 1 · reach
Top of the funnel
112K subs, a 1.7M-view hero clip — the rented-land audience every surface converts left-to-right into something we own. This is how YouTube shows up in every doc so far.
◆ the missing role
Role 2 · proof
The interim evidence engine
The same channel is the only asset that can produce a report a brand recognises — reach, geography, attention, a dollar figure — today, at zero build lift. The data already sits in the account.
one channel, two jobs — it fills the funnel and, before the stack exists, it carries the proof
The validation gap
The asset is future. The buyer is now.
The bridge is the whole point of this page. The intelligence stack — the thing brands ultimately pay for — is quarters away: it needs the portal built, capture live, behaviour accumulated. Meanwhile the revenue ladder's first rung is an audience report, and you can't climb it with a promise. YouTube closes the gap: it already holds a report-grade dataset, and the access is in hand. Producing the report is a pull-and-assemble job — not a build, not a wait. The rest of this page is the pull list.
The mapping
Every column a buyer needs — and where it comes from
Left: what a brand's buying team looks for (the same currency the WST / Story10 report trades in — reach, markets, GAV). Middle: the exact YouTube pull that fills it now. Right: where the owned stack takes each line once it exists.
What brands need to seethe box
What YouTube gives us now▸ the pull · YouTube Studio → Analytics → Advanced Mode → export
Where the owned stack takes it▸ the ceiling
Reach / audience size
The headline "people reached" number.
Unique viewers + subscribers
28-day unique viewers over a trailing 12 months = the honest reach figure (maps to their "households"). 112K subs beneath it as the relationship layer.Audience tab · Unique viewers
Portal actives
Identified, owned, unsampled — not a reach estimate but a named audience.
Markets / geography
Where the audience actually is — the by-market map.
Views by country
The exported country breakdown = your version of their 44-markets slide.Advanced Mode · Geography export◆ also settles MENA
Declared + on-ground location
Sign-in location and Gulf-time behaviour, not a viewing estimate.
Who they are
Demographic shape a sponsor can match to their target.
Age & gender
Sampled from signed-in viewers, % of watch time. Flag the sampling in-report so a sharp buyer doesn't.Audience tab · Age & gender
Declared, first-party
Self-selected follows and preferences — unsampled, complete.
Attention / engagement
Not just reach — did they actually watch and act.
Watch time · % viewed · reactions
Watch-time-in-hours = their "428 minutes of exposure," but real attention. Avg % viewed + likes/comments/shares are signals a broadcast sheet can't produce.Overview + Engagement
Sessions · return rate · follow graph
Repeat behaviour and declared affinity — the retention story.
Value — the $ number
A GAV-style figure that lets them compare us to any property.
GAV-equivalent (computed)
Monthly views × a sourced sports-video CPM. Exactly the move Story10 makes — done defensibly, with the math shown.see the value box below
A measurable CPM premium
Targetable, closed-loop, ROI-provable — worth more per unit than notional airtime.
Brand affinity
What else this audience cares about — the fit narrative.
Other channels they watch
A ready-made affinity story straight from the account.Audience · What your audience watches
Cross-surface behaviour
Affinity observed across portal, newsletter and site — owned, not inferred.
left is what gets you in the room · middle is what exists today · right is the upgrade the stack earns
The dollar figure, honestly
Put a defensible number on the audience — before the deeper data lands
Monthly views ÷ 1,000 × [sourced sports-video CPM] = GAV-equivalent
This is the single fastest way to speak the buyer's language. It's the identical logic behind Story10's $709K GAV — the only difference is we source the CPM and show the arithmetic, so a sophisticated buyer can't discount it on sight. Cite the benchmark in a footnote; never invent the rate.
Two guardrails. Headline the sustained monthly views, not the 1.7M hero clip — that's the peak, not the run-rate (the same power law as their Wu Yize slide, one clip carrying 5% of SNTV's entire week). And keep the claim to digital reach: YouTube is direct-to-consumer, not broadcast — don't borrow household-scale numbers that belong to a different mechanism.
Why this is the strategy, not a bolt-on
It's the plan's own move, one layer over
The whole ShePlayz strategy runs on one pattern: ship the cheap interim thing that checks the box now, earn the expensive upgrade later. The audience proof is that pattern applied to the B2B side.
The pattern you already ship
Fan Portal → Native app
The portal delivers the app's features on the web — checks the audience box at a fraction of the app's lift, before any native build. The app is the earned upgrade.
The same pattern, on the B2B side
YouTube report → Intelligence product
The report delivers the intelligence product's evidence — checks the brand box at a fraction of the stack's lift, before capture exists. The owned first-party report is the earned upgrade.
And it breaks the deadlock. The intelligence thesis needs data to sell; selling needs brand rooms; the rooms need proof. YouTube is proof that exists today, at zero build cost — it gets you in the room, and the revenue and momentum from being there is what funds the owned stack. Proof first, stack second.
◆ The near-term deliverable
Pull it now. Three payoffs.
The brand deck
Rung one of the revenue ladder — the audience report, assembled from the pulls above, in the buyer's own language.
The MENA answer
The same geography export settles whether the 112K audience is actually in the region.
The content signal
Top-content and traffic-source data show which clips travel and where discovery comes from — feeding the She Series and editorial.
The access is in hand — this is a pull-and-assemble job, not a build. The map above is the whole input list, and the geography export does double duty as the audience report and the MENA proof. The only step left is to run the exports and draft the one-page report off them.