Streaming subscriptions, watch engagement, content margin, and churn
Industry
Direct-to-consumer streaming and OTT media analytics
Company size
Scale-up; 10 operating markets; 75K modeled subscribers on the panel, about 37K to 41K active at the end of any month and roughly 38K to 43K billed in it
Audience representation
modeled panel of about 75K subscribers representing a larger reported audience
Content scale
about 1,200 catalog titles across 14 genres and 40 studios
Panel revenue scale
$14M to $16M total panel revenue across the two-year window (about $7.5M to $8.2M per year)
Engagement scale
about 73M aggregated watch hours, roughly two to three hours per active subscriber per day, reported identically whether counted per subscriber or per title
Dataset scope
18 Enterprise-tier tables
Vextrova is a fictional scale-up direct-to-consumer streaming service created for synthetic BI demos and training; it represents no real streaming brand, content library, studio, subscriber base, or billing system. The kit presents a believable subscription-video operation where BI builders move from active subscribers, MRR, and churn into plans, watch engagement, content performance, licensing economics, billing, and regional P&L. Viewing is modeled as an aggregated monthly watch summary over a representative subscriber panel rather than a raw play-event stream, so engagement reads realistically while the data stays compact.
These are the operating questions this kit is optimized to answer first.
Connect active subscribers, MRR, ARPU, region margin, and churn month by month.
Follow subscribers from signup through watch hours, completion, and device mix to activity or churn.
Compare title, genre, and content-type viewing against the licensing cost it required, by studio.
Connect regional P&L down to billing detail, and subscribers down to their watch and lifecycle activity.
Regional subscription revenue traces to subscriber billing, and content cost to monthly title licensing.