Are the unit economics safe to scale?
Review blended ARPU, contribution, CAC, payback, LTV:CAC, paid conversion and churn against management gates.
iMAGIC connects subscriber economics, revenue quality, ad monetization, content and viewing behavior, CTV growth and operating readiness in one leadership decision report.
The model separates attractive headline economics from the measurement, monetization and operating gaps that require management sign-off.
A healthy subscriber number can hide weak payback. Strong completion can coexist with poor ad yield. iMAGIC shows how the levers interact and what leadership should do next.
Review blended ARPU, contribution, CAC, payback, LTV:CAC, paid conversion and churn against management gates.
Test viewing hours, ad load, fill rate, eCPM, completion, CPCV, ad revenue per MAU and sales-channel mix.
Assess region, language depth, CTV share, content and viewing behavior, inventory readiness and package strategy.
Each output is designed to answer what the number means, why it matters, what can break the plan and who should act.
See the recommended management stance—scale, repair, hold or test—separately from forecast confidence.
Compare key metrics with India planning ranges and trace watch or risk signals to their operating cause.
Prioritize data verification, unit-economics recovery, CTV foundation or monetization expansion based on severity.
Turn the verdict into owners, actions, measurement checks, decision gates and the next management review.
Management review
Usable with review
Usable
Controlled
Repair first
Strong signal
Validate revenue definitions, units, benchmarks and ownership before new scale investment.
Repair weak acquisition or monetization levers through controlled tests and cohort review.
Scale only the operating path that clears confidence, payback and measurement gates.
The report combines executive summaries with diagnostic views so decision-makers can move from the headline verdict into the evidence without losing the business narrative.
Separates revenue, cost, monetization, CTV growth and retention instead of hiding them inside one blended score.
Trace ad revenue per MAU, funnel drop-off, user-versus-revenue distribution and capability readiness.
Connect language depth, content behavior, CTV share and ad-experience risk to the monetization strategy.
Assess controlled versus open demand, package readiness, sales priorities and the path to stronger yield.
Challenge subscription, ad-tier, CTV and regional growth assumptions before committing the roadmap.
Test inventory, yield, demand mix, package readiness and the evidence behind commercial targets.
Govern payback, LTV:CAC, contribution, confidence and scenario risk before capital is released.
Turn the verdict into measurable workstreams, owners, checkpoints and a learning loop.
Sign up for access or request a sample report to review how iMAGIC converts India OTT/CTV inputs into a leadership verdict, evidence, scenarios and action governance.
Every example below was generated by the live iMAGIC engine from purpose-built scenario inputs. Explore the business case, inspect the source assumptions and open the exact generated report.
Scale a balanced subscription and advertising model without weakening unit economics.
A national India OTT service with meaningful paid and CTV adoption entering its next growth phase.
Expand regional-language reach while protecting subscriber economics and ad yield.
A multilingual India streaming platform moving beyond its strongest language markets.
Repair advertising yield and viewer experience across a high-scale FAST proposition.
A large India ad-led streaming service with strong reach but weak fill, retention and monetization quality.