As AI advances across video advertising and streaming, individual platforms are becoming better at explaining their part of the stack. This article introduces a revenue-centred framework for connecting those partial views, diagnosing significant movements in net advertising revenue and turning fragmented evidence into one supported answer.

When the revenue answer arrives after the opportunity has gone Consider a composite scenario familiar to many video publishers. On Monday morning, four reports appear to tell four different stories: Player analytics reports viewing time up 9%. The ad server reports delivered impressions up 4%. The principal SSP reports average gross CPM up 6%. Finance reports recognised net advertising revenue down 8%. Sales sees weaker agency demand. Ad operations suspects unfilled connected

Streaming businesses have more analytics than ever, yet often struggle to explain why advertising revenue changed. This article explores why specialist platforms provide valuable but partial perspectives—and why cross-system diagnosis is the missing layer.

The monetisation question I keep hearing Over the past year, I’ve had conversations with broadcasters, streaming platforms, advertising sales organisations and technology vendors across Europe and Latin America. The discussions covered a broad range of topics, including FAST channel strategies, advertising operations, audience growth, platform evolution, measurement challenges and data strategy. Despite the variety of topics, I found myself returning to the same underlying qu

AI video generation has dominated headlines this past year, promising faster and more cost-effective content creation. However, the...

Gather sources of information If you're in the market for an ad server, you've probably only seen or know of a small handful. For those...

With advertising revenue forecasts painting a challenging environment for Traditional TV in the next couple of years and beyond, the...