Conviva Recognized Across Multiple G2 Fall 2025 Reports: A Leader in Digital Analytics
Conviva is named a G2 Fall 2025 Leader in Digital Analytics, with top rankings in DEM, ease of implementation, and regional growth.
Conviva is named a G2 Fall 2025 Leader in Digital Analytics, with top rankings in DEM, ease of implementation, and regional growth.
Understand how traditional metrics can mislead—and how to fix it. Learn how Simpson’s Paradox impacts decision-making and how Conviva helps you see what others miss.
Download the full report to understand where brands are falling short—and what it takes to win in 2025.
Streaming services can now gauge what their viewers watch, how long they watch it, what problems they face during the process, which devices they use, where they like to watch, average viewing time, abandonment patterns, and binge-watching habits—among many, many more metrics at the census level.
Once the global network launched their segment-based playlists, it enjoyed a 10% increase in average viewer minutes with higher consumption across multiple series targeted to the prized youth demographic.
The Punjab Kings teamed up with Conviva for a competitive edge to monitor their new name change and build the most inclusive social community for their fans.
Learn how a U.S.-based streaming business with tens of millions of users was able to resolve calls faster and reduce call center operations by $564,000.
Learn how this integrated media organization used Conviva's unique combination of consulting, retention analysis, industry benchmarking, and performance reports to grow revenue and reduce churn.
Netflix revealed some insights around Squid Game that we can all learn from on how they make data-driven decisions with robust viewership data. So how can you be like Netflix and use viewership and engagement data to deliver amazing content experiences?
Doubtnut teamed up with Conviva to illuminate blind spots and safeguard students’ offline video learning. Doubtnut implemented Conviva Experience Insights for real-time quality of experience (QoE) monitoring and Viewer Insights to granularly slice and dice learning assets and troubleshoot problematic clips.
Every publisher wants to monetize viewers across all their platforms, including streaming, in a clear, consistent way. For this reason, good exposure data to feed into a co-viewing algorithm is important to the publisher so that they can sell against the full set of viewers that they reach.
The publisher was looking to increase their reach and presence globally by expanding offerings for both live and VOD content. In order to do this, they needed to better understand their global streaming business, including content delivery and consumption, requiring visibility into a comprehensive set of metrics to improve their infrastructure.