Objective
Television Media is facing serious competition from various online platforms that offer on-demand streaming services. Following the digital infrastructure expansion in developing countries, major media houses are actively re-evaluating their portfolios to capture audience attention and maximize overall subscription revenue.
On similar lines, a top-tier Media corporation partnered with us to identify which exact channel linear networks and programmatic bundles would attract television viewers, alongside discovering the precise pricing sweet spots to scale revenue metrics.
The corporate stakeholders targeted several critical operational questions:
- Which individual channels should be grouped into multi-pack bundles and which must be sold strictly à la carte
- What constitutes the optimal price architecture for complex bundles versus independent channels
- What is the precise price elasticity and sensitivity of various content tiers
- What counter-strategies should be deployed if competitors aggressively shift their linear or OTT bundle pricing
The Solution: Interactive Menu-Based Conjoint (MBC)
For a multi-choice bundling problem of this scale, we deployed the most advanced mathematical trade-off technique available: Menu-Based Conjoint (MBC) analysis.
However, the study presented immense complexity from both a survey visualization and discrete choice analysis perspective due to the sheer volume of native networks, premium tiers, and cross-operator packages. To circumvent this friction, our team utilized expertsurvey programming servicesto engineer a highly responsive, interactive custom storefront module.
Respondents navigated a realistic marketplace interface where they could choose a base bundle, add specialized genre packs, or select standalone channels alongside dynamically shifting price anchors. Different configurations of network bundles and standalone channels were systematically exposed to varying consumer groups to observe real-time trade-off behavior patterns.
Study Metrics & Methodological Framework
Outputs & Strategic Business Insights
Following data collection from 5,000 respondents across metropolitan hubs in India, a comprehensive conjoint choice simulator was constructed. This tool ran deep statistical iterations to isolate distinct shares of preference and revenue curves across thousands of potential à la carte and bundled permutations.
The simulator models delivered immediate actionable intelligence:
- Bundle Redesign: Re-architected legacy, underperforming packages by discarding low-utility elements and substituting high-demand content.
- Hero Channel Identification: Isolated the exact networks possessing high enough individual brand equity to command strong standalone margins.
- The HD Premium Factor: Quantified the exact percentage-lift incremental revenue High-Definition (HD) content tiers could draw across specific viewer demographics.
To deliver maximum functionality to the client's executive leadership, these advanced econometric algorithms were integrated into tailoreddata visualization dashboards. This interactive market simulator allowed business analysts to test hypothetical competitive pricing shifts and map the resulting audience volume movements automatically.
The final deliverable equipped the client with explicit packaging matrices and a national price-optimization strategy that successfully safeguarded market share while building sustainable revenue pathways.
