Conviva unifies streaming video, ads and app analytics on one timeline

As media consolidation accelerates, Conviva's Streaming Experience Insights platform aims to close the measurement blind spots costing streamers subscribers.

By Disrupts Editorial Team Sun, 8 November 2026 AI level 2 of 5

AI level 2 of 5: drafted by our AI editorial assistant from the company's announcement; fact-checked, edited and signed off by Mark Walker, Editorial Director. What the levels mean

Brightly lit data center aisle lined with server racks showcasing neatly bundled multi-colored network cables connecting various equipment.

Conviva, the streaming analytics platform that pioneered quality-of-experience measurement two decades ago, has launched Streaming Experience Insights (SEI): a product that collapses video, advertising, and in-app behaviour into a single real-time timeline for every viewer session. The announcement arrives as the media industry undergoes its most aggressive consolidation wave in a generation, placing the platform squarely at the intersection of media technology, advertising infrastructure, and AI-powered operations.

SEI is delivered through Nexa, Conviva's natural-language analytics agent, which allows teams across engineering, ad operations, and the C-suite to query the unified dataset in plain language. The platform also exposes its data layer via Model Context Protocol (MCP), enabling customers to pipe Conviva's real-time census data directly into their own AI agents and internal workflows.

The consolidation pressure driving the need

The commercial logic behind SEI is inseparable from the structural upheaval reshaping global media. Paramount's reported $110 billion tie-up with Warner Bros. Discovery involves merging Paramount+ and HBO Max into a single streaming service, while European broadcaster MFE is consolidating its streaming footprint across multiple markets. Each merger stacks more viewers, devices, regions, and ad-serving systems onto a shared technology backbone, multiplying the failure points that fragmented analytics tools cannot see.

Conviva cites research indicating that 36% of US streaming subscribers have cancelled a service solely because of a poor user experience. The company says that when video, advertising, and app teams each operate from separate dashboards, no single team sees the complete journey of a viewer who churns. The one-timeline proposition is an attempt to make that invisible churn visible before it becomes irreversible.

The scale figures Conviva cites are notable. During this year's FIFA World Cup, the platform reportedly processed 56 million peak concurrent plays, which the company describes as the largest number of sessions ever measured in real time by an analytics platform. A single Nexa query across a global sports streamer's data surfaced 528,000 unfilled ad breaks from 18 million ad attempts on the tournament's opening day, with roughly 59,000 identified as recoverable before the following day's matches.

The agentic analytics wedge

The launch is as much a positioning move in the emerging agentic-AI market as it is a product release. Conviva's CEO Keith Zubchevich is direct about the competitive framing: "Putting a chatbot on top of a dashboard doesn't make you an AI company, and AI never cleans up bad data. If your platform samples, your agent guesses."

The argument cuts to a genuine structural tension in enterprise analytics. Most point-tool vendors sample data, introduce reporting latency, and cover only a slice of the session. An AI agent built on sampled or siloed data inherits those gaps. Conviva's claim is that twenty years of full-census, stateful, real-time data collection makes Nexa's answers materially more reliable than any agent trained on incomplete inputs. A major US sports broadcaster reportedly used the MCP integration during the World Cup to identify and disable 4K streaming only on the specific TV models where it was degrading viewing quality, leaving the higher-quality stream intact for everyone else.

For cross-sector strategists, the Conviva story sits at the convergence of three forces that are reshaping capital allocation in media and technology. First, the agentic-AI layer is becoming a genuine competitive moat in data-intensive industries: the quality of the underlying data platform, not the sophistication of the language model on top, determines whether an AI agent delivers operational value or plausible-sounding noise. Second, media consolidation is generating a class of super-scale streaming infrastructure problems that legacy analytics vendors were not architected to solve, opening a replacement cycle. Third, advertising monetisation on streaming platforms remains structurally inefficient, and any platform that can demonstrably reduce unfilled ad inventory at scale has a direct line to publisher revenue. Investors tracking the intersection of media-tech infrastructure and enterprise AI deployment will find the platform-versus-point-tool debate here worth watching closely.

Streaming Experience Insights is available to Conviva customers now, with Nexa and MCP access included.