Product Teams: Top 4 Ways to Embrace Digital Experience Analytics in the Agentic Era

1. Go beyond static funnels and use experience and engagement patterns to optimize conversion

Static funnels only show where users drop off, not why.
Conviva Digital Product Insights (DPI) analyzes consumer experience and engagement patterns to surface hidden intent, confusion, and inefficiency across the full journey — from first click, to AI-agent interaction, to checkout.

Instead of relying on drop-off reports or rage-click metrics, DPI automatically maps every user interaction into the contextual patterns that lead to higher engagement, stronger conversions, and what causes abandonment.

Instead of relying on intuition to make product decisions or hoping that A/B tests show some improvement, product teams can predict the impact of the changes they make.

Conviva DPI finds opportunities for revenue growth by continuously scanning millions of combinations of behavior patterns, user attributes, and performance measures. Locate underperforming segments, improve conversion.  

Example: A travel brand noticed repeated drop-offs in its booking funnel. Traditional analytics only showed that users were abandoning after checking availability. DPI revealed the pattern: a logged-in customer searched eight different routes in March, always choosing “pay with miles” before returning to the homepage. This behavior signaled strong purchase intent and brand loyalty, but also flexibility on destination — the traveler wanted to use points but was open to options. Armed with this insight, the team redesigned the search and filtering experience to better support flexible travel planning, improving conversion and customer satisfaction.

2. Use behavior patterns to go beyond what worked in your A/B test

Product teams that only look at outcome metrics to decide if experimental changes are worth rolling out to more users will miss critical context that only Conviva DPI can provide. Changes may confuse certain users and result in inefficient engagement. Treating an entire A/B test group as a single entity means that these nuances are missed, leading to sub-optimal decisions on A/B tests and features rollouts.

Example: A retailer tested a new search algorithm. At first glance, the test group showed a higher “add to cart” conversion rate. But deeper analysis revealed an underperforming segment: new customers using broad search terms were scrolling endlessly and repeatedly adjusting their searches. Instead of rolling out the new algorithm universally, the retailer adopted a hybrid approach — using the new algorithm for exact searches, while retaining the existing one for broader queries.  

3. Uncover Experience Breakdowns that Block Conversion

Even small experience issues can have an outsized impact on conversion. Traditional funnel metrics might show a drop-off at checkout, but they don’t explain why. Conviva Digital Product Insights (DPI) reveals the hidden behavioral patterns that pinpoint these moments of friction — so teams can fix what really matters to customers.

Example: A traveler selects their itinerary, proceeds to checkout, and tries to log in. They click “Forgot password,” wait five minutes, click it again, then abandon. DPI detects this pattern across hundreds of similar sessions — signaling that users likely never received the reset link or experienced a long delay in delivery. By connecting this behavioral signal to system performance data, the team identified a backend email latency issue and resolved it, recovering a measurable share of lost bookings.  

4. Identify high-value user segments

Product teams that rely on demographic-based segments or segments with pre-defined funnel journeys won’t succeed in the Agentic era. Using Conviva DPI, product teams can identify user segments based on behavior patterns that reveal user intention and frustration with how the product currently works.  Prioritizing product improvements to target these segments leads to significantly more predictable outcomes than traditional segments.

Example: An electronics retailer found a group of customers they called “laptop search refiners.” These were customers that did not use filters but used variations of the same laptop searches to find the right laptop. These customers looked at a lot of PDP’s but ultimately did not buy. The retailer added a “guide” feature that triggered when this behavior pattern was found that helped these customers find the right laptop for them, increasing conversion for this high-intent group of customers.  

As Conviva CEO Keith Zubchevich puts it:

“Static journeys are dead. Predictable customer paths are an illusion. With Conviva DPI, enterprises can see and respond to the real-time patterns that define every customer interaction. This is analytics built for what’s next.”  

Build a Continuous Feedback Loop Between Conversation and Outcome

The best AI experiences learn from production, not theory.
Conviva turns every conversation into outcome-driven intelligence — so teams can continuously sharpen prompts, improve workflows, and ship fixes that move the needle. 

Unlike dashboards or sample traces, DPI provides full-census, real-world data connecting:

  • What users say and do 
  • How agents respond 
  • Agent and customer engagement 

Every iteration becomes an opportunity to increase trust, resolution, and satisfaction at scale.

As more product teams shift to creating and optimizing AI Agents, understanding patterns within customer-to-agent conversations is vital to building agents that actually drive desired product outcomes. Product teams that understand the types of conversations that lead customers to fall back to the application to complete their task and the types of conversations that lead customers to conversion or issue resolution can use this information to optimize their agent. Fundamentally this requires tools like Conviva DPI that can stitch together behavior patterns that go back and forth between user app interactions and user agent conversations.

Learn more about the right way to optimize agents here.

The Takeaway

Product teams now operate across a fractured landscape of channels, journeys, and AI-driven touchpoints. Conviva Digital Product Insights brings them all together—revealing how every behavior connects to outcomes. 

The result?
✅ Continuous discovery of growth opportunities.
✅ Faster conversion optimization.
✅ Predictable, outcome-driven product performance

Conviva Digital Product Insights is now in public beta, with GA in 90 days.
 Request a demo at www.conviva.ai