Radix Analytics Private Limited

Data Science for Broadcast Media & OTT

What we don't do:

What we do:

Advertising Revenue Management through
- Ad-Deal Proposals Inventory & Pricing customization
- Spot / RO revenue optimization
Channel content scheduling/programming & promo planning
OTT recommendation engine

Selling right inventory to the right advertiser at the right price can easily result in 10% revenue gain
Optimized allocation of daily FCT to ad-spots & correct placement in breaks, ensures that the right advertisements reach the right audience segments at the right time, significantly increases ad revenue and effectiveness
Automating content scheduling/programming ensures rights utilization, avoids viewer fatigues and delivers variety to retain/increase viewership
OTT content recommendation helps retain viewers on the platform, customize experience and increases subscription revenue

Social media analysis to integrate viewer feedback into content development, improving reality content (quiz shows, matches, sports)
Promoting right shows at right time, on resonating content helps increase viewership. Managing promo placement is an optimization problem!

Advertising proposals are traditionally aimed at clinching the deal with limited view on inventory fill, other client deals, prices etc.
Result: servicing issues; imbalanced inventory fill; false promises; makegoods
Develop a system that has near-realtime visibility into the inventory fill status
Customize prices & inventory allocation to meet advertiser needs while ensuring servicing of the deal
Ensure business rules, pricing rules etc are met, violations are highlighted and approval processes streamlined
Provide good visualization, post-eval & makegoods

Advertiser-specific price variation and demand-driven pricing of inventory
Planned inventory overfill to manage day-to-day demand (RO) variation & avoid wastage
Reduced servicing issues and make goods effort
Improved pipeline visibility
Sales executives performance tracking
Negotiations history tracking for future reference
Improved handling of Make goods
Streamlined, accurate and faster billing

Duration of spots to be allocated in a break usually exceed available inventory – which spots should be aired and which should be dropped – a decision made every single day for every program/break aired
How do we ensure maximum revenue in the above process?
Where can the dropped spots be allocated?
Reduce human effort in this activity and enable inventory fill till the very last
Perform the above task in few minutes
Allow ample human intervention, overrides etc.

Designed and developed a software with following features

Assured allocation at spot, brand, advertiser, deal level
Even distribution of spots of different brands, products, clients when the rates are same
Long term even distribution of spots across day-parts from each deal
Placement of spots to ensure higher viewership to higher valued spots
Maximizes revenue ( 2-4% incremental gain)
Automates the spot allocation process
Respects FCT Caps & all allocation rules & deal conditions