Why Outdated cost frameworks are a barrier to Growth

By Edit Kovács, VP EMEA & Latam, Accedo

They fail to capture the opportunity cost of the investment, use data that is outdated or inaccurate, miss the hidden costs of slow time-to-market or misaligned product decisions, the latter of which can lead to heavy investment in features that do little to reduce churn or grow lifetime value - or worse, reduce them!
 
In a slower moving, more predictable video streaming environment, treating TCO as a static metric made perfect sense, but now it’s becoming increasingly apparent that legacy TCO approaches are no longer fit for purpose. Forward-thinking OTT leaders are beginning to treat TCO as a lever for growth, but this does require a shift in mindset. Providers need to better align technology, data, and spending with the real metrics that drive sustainable growth, but this is only possible by moving beyond static TCO models toward outcome-driven models.
 
Operating in a Dynamic OTT Environment
 Static TCO models focus on CapEx and OpEx trade-offs, and as such, don’t provide a full picture. They fail to capture the hidden costs already mentioned and don’t factor in all of the shifting variables at play in a dynamic OTT environment. For example, technology is evolving at unprecedented speed, so what is considered efficient and effective today may well be outdated tomorrow. In addition, user expectations shift quickly and continuously. Competition is also intensifying which makes slow iteration cycles a significant business risk.
 
A modern approach to TCO requires a continuous feedback loops between data, architecture and user experience. Services must become self-aware, adjusting operations in real time to meet business goals and user expectations. TCO needs to be approached as a system in constant motion rather than as a snapshot.
 
The Key to Driving Sustainable Growth
 
Achieving sustainable growth going forward isn’t just about managing spend or doing optimization. A service optimized for the lowest upfront cost will often struggle with long-term adaptability. Instead, it’s about using smarter orchestration, building in agility through modularity, and ensuring continuous optimization leveraging data. Let’s unpack these.
 
Orchestration, particularly when powered by AI, is a key component of this approach because it enables platforms to continually fine-tune operations, workflows, and experiences to maximize return on investment.
 
Modular, composable architectures are critical because they reduce the cost of change: instead of rebuilding systems or forcing integration workarounds, teams can plug and play capabilities as needed. This reduces waste, enables faster experimentation, and insulates the platform from long-term technical debt.
 
Data is another core pillar because real-time telemetry, user behavior signals and operational metrics make it possible to monitor and adjust performance continuously. Services can then use live data to steer investment decisions, rather than relying on static roadmaps or quarterly reviews.
 
Final Thoughts
By treating TCO as a living system, OTT leaders are in a much better position to be able to respond to change and volatility with precision. It connects investment to impact in real time, ensuring that spend is continuously justified by outcomes. Without this shift, video service providers risk falling behind because they are trapped in rigid systems and are unable to adapt quickly enough to market signals or user expectations. And as I’m sure everyone reading this will agree, whichever way you look at it, that is certainly not a good place to be.

LC