For most of its history, TV advertising worked on faith. Brands cast a wide net, trusted broad demographic charts, and crossed their fingers that the right viewers were on the other side of the screen. Streaming has ended that era. Platforms built on real commerce data now know what people actually buy, want, and search for, and that knowledge is turning TV into a performance channel where targeting is precise, interactions are possible, and results can finally be measured instead of guessed.
Nasir Bello has spent nearly a decade building the systems that keep modern streaming running. Currently a Network Systems Engineer at Rogers, he has previous experience as a Solutions Architect at Evertz where he supported major clients like NBC, Google, and Netflix. With a background rooted in hybrid cloud design and content delivery, Bello offers a clear view of the architectural and strategic shifts that are turning TV advertising into something far smarter than the industry ever imagined.
"Traditional TV ads were always a shot in the dark. Commerce platforms changed that because they know what people actually buy, what they search for, and where they live. Once you bring that level of real behavior into streaming, the ad stops being a guess and becomes a predictable, measurable part of the viewing experience," says Bello.
From search to seller: According to Bello, the key difference is the kind of data at play. E-commerce platforms use real purchase behavior instead of the inferred intent that search engines rely on, which eliminates the guesswork that defined old TV advertising and unlocks a level of precision television never had before. "Amazon is a seller with a rich inventory of granular data on individual purchases and buying behaviors. Because a customer has purchased certain things in the past, we can predict they will need this one, too. The data isn't speculative; it's reliable," he explains.
Guesswork vs. guarantee: That kind of direct line to the consumer is a serious advantage, and analysts know it. Other streaming platforms are left trying to stitch together a version of the viewer from scattered clues while Amazon starts with the real picture. "Platforms like Netflix or Hulu are trying their best to piece you together based on what they think is your profile. They don't have the full picture. But Amazon isn't trying to piece you together," states Bello. "They know exactly who you are."
But that predictive power is only valuable if consumers can act on it. This is addressed by an interactive architecture designed to transform passive viewing into a frictionless shopping experience. By embedding commerce directly into the video stream, platforms are "shortening the steps" between seeing a product and purchasing it, which in turn helps address consumer platform fatigue.
Frictionless flow: "Interactive video gamifies the ad experience. You can scan a QR code or do the shopping as you go, creating a continuous flow for the customer. Your video keeps playing, so you aren't losing attention because the ad experience happens right there in front of you," Bello notes.
Won, not lost: The architecture enabling the experience is designed to operate across a consumer's digital life. As users move between devices, the technology works to maintain a single, cohesive context for their journey. "With cross-device tracking, we can follow a customer as they move from their phone to a PC and onto a connected TV. We know it’s one person, so the ad experience can be transitioned seamlessly," he continues. "The customer isn't lost. We still have their context to leverage on the next device."
The technological evolution is happening alongside a parallel change in consumer behavior. After years of being conditioned to expect ad-free content, more and more viewers are opting for ad-supported models. Bello says this trend represents a logical return to a familiar value exchange driven by pragmatic consumer choice.
Roll with it: "With subscription fatigue across Netflix, Disney+, and Apple TV+, people are reverting to type. They recognize that watching a couple of ads is worth it to save a couple of bucks. Amazon put everyone on the ad tier by default, and the customer base is going with it," he says.
Naturally, the power to declare exactly who a customer is raises questions about privacy. Bello concludes that the path forward involves leveraging data responsibly within a closed system, improving the user experience while safeguarding user identity. "Privacy is a big thing. Privacy-first frameworks work to anonymize data and disassociate it from the person. However, platforms like Amazon that have data within their own closed ecosystem will leverage it more. They aren't 'selling' the data, they're just using it internally to improve the experience."
