Conviva Finds Agents Burn More Than 2.5 Minutes Gathering Context
Download our report today to dig into the research and discover critical insights into how consumer-facing AI agents can make or break your relationship with customers.
Download our report today to dig into the research and discover critical insights into how consumer-facing AI agents can make or break your relationship with customers.
New data shows that two-thirds of your most valuable customers take journeys your analytics were never built to see. The implications for AI agent design — and the analytics infrastructure behind them — are significant.
Funnel vision isn't a configuration problem or a dashboard gap. It's a structural consequence of using a measurement model designed for a straight-line journey to describe a buying behavior that is almost never straight-line.
Conviva research finds that consumer-facing agents spend an average of two minutes and 32 seconds establishing basic context before they can address a customer's actual request.
Events are what happened. Behavior is what it means. In the era of AI-mediated commerce, understanding the second is what matters.
Download Conviva's State of Digital Experience 2026 to find out what consumers actually do rather than what funnel models assume they do.
Everything eCommerce and AI teams were talking about at ShopTalk — and what to do about it.
Pattern analytics surfaces behavioral sequences your current stack misses. Learn how stateful, real-time intelligence differs from event-based analytics.
In the agentic era, product analytics must shift from collecting events to looking at the patterns that reflect customer experience.
Intellyx and Conviva report on why Digital Experience Analytics is what teams need to connect every agent interaction to real outcomes.
Know your customer’s behavior and patterns to protect the accuracy and efficiency of their journey while leveraging the speed and efficiency promised by AI agents and Google UCP.
Learn how Conviva Digital Product Insights (DPI) connects agent conversation patterns, digital product interaction, and business outcomes—automatically revealing where to optimize and what to build next.