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.
How GSIs build AI agent consulting practices with recurring revenue. A three-stage framework: design, training, and continuous optimization.
Download Conviva's State of Digital Experience 2026 to find out what consumers actually do rather than what funnel models assume they do.
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.
In the agentic era, product analytics must shift from collecting events to looking at the patterns that reflect customer experience.