Measure, Explain, Predict

The service is structured across three tiers

Measure

The most important subscription
service KPIs tracked longitudinally

% pop taking out a new / additional subscription per quarter

% provider share of new/additional subscriptions

% provider share of first-time subscribers

% provider share of additional subscriptions

% provider share of switched subscriptions

Source of customer acquisition

Destination of customer churn

Multiple subscribers % and brand (same category e.g. video)

Overall ‘sign-up process’ score (0-10 new subscribers)

Subscription installed base (millions + % share) by provider

Subscription provider Net Promoter Score

Brand funnels (Consideration > Purchase Intention > Sales > Conversion)

Average subscription value (€)

% subscribers on free trials

Free trial > Paid subscriber conversion rate (%)

Weekly usage penetration

Non streaming video usage (Pay TV, theatre, rentals, online etc.)

Planned Subscription Cancellations (%)

A complete understanding
of the category KPIs

Subscription Triggers

Subscription Pre-Purchase Research Touchpoints (Paid for/Owned/Earned)

Subscription Purchase Drivers

Subscription payment split by band, ad supported and free trials

Experience diagnostics (drivers of satisfaction/dissatisfaction across key areas)

Film / TV /Sports series driving subscriber satisfaction

Film / TV /Sports series most recommended by friends/family

Film / TV /Sports driving subscriber sign ups/cancellations

Cable TV provider NPS

Location services used e.g. in home, whilst commuting

Platform used to access service e.g. Smart TV app, TV Stick (Fire TV…)

Full demographic breakdown by Subscriber type and brand

Attitudes and genre by subscriber type and brand

Subscription importance ranking

Cancellation reasons

Content analysis suite

Using machine learning to accurately predict future consumer behaviour

Churn propensity model

Key Decision Drivers Analysis

NPS Scenario Model