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.
Download Conviva's State of Digital Experience 2026 to find out what consumers actually do rather than what funnel models assume they do.
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.
Context graphs are essential for consumer-facing AI agents. Learn how they work — and what it takes to build a good one
How GSIs build AI agent consulting practices with recurring revenue. A three-stage framework: design, training, and continuous optimization.
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.
Events are what happened. Behavior is what it means. In the era of AI-mediated commerce, understanding the second is what matters.
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.
Clients aren't buying strategy decks anymore — they want proof before they sign. Learn how GSIs can walk into deals with revenue-ranked behavioral data from the client's own digital experience, and win outcome-based engagements before the competition knows what hit them.
To thrive in the agentic era, teams need to operate with AI as a central part of how they think and work, not as a downstream tool.
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.
Conviva recently introduced Predictive Intelligence: automatic identification of factors that strongly drive conversion in user workflows. This is the first in a series of posts about the technical ideas behind it.
In the agentic era, product analytics must shift from collecting events to looking at the patterns that reflect customer experience.
