Advanced Journey Analytics

Understand how cross-session journeys affect customer lifetime value

Go further than traditional analytics by examining journeys that users take over time and across devices. Comprehend complex journeys and find new opportunities to retain and upsell to customers.

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Capabilities

Benefits
Features
Use Cases

Analyze long-term trends

Find the patterns that reveal how returning users navigate and what actions they complete.

Analyze long-term trends

Find the highest-value customer segments and use your insights to improve their journeys.

Measure ROI

Evaluate how strategies, products, and roadmaps generate revenue, and what their return on investment (ROI) is.

Optimize product experiences

Practical insights around users, cohorts, and feature usage helps you make great decisions when improving products.

Key features of Advanced Journeys

Everything you need to understand (and optimize) complex user journeys

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Funnels

See how users interact with your digital experience at each funnel stage

Get an at-a-glance view of activity at each stage of your funnel, so you can instantly find conversion bottlenecks, drop-off points, and more. Start by viewing key metrics for each funnel stage, then jump to session replays and heatmaps to examine the why.

Capability - Frustration Scoring - Asset — Features - AI Insights

Journey analysis

See how users reach important points in their journey, across sessions and devices

Find the hidden paths and unexpected journeys that users take on their way to a conversion (or other key actions). Identify key moments of friction and engagement in your digital experiences—even when they involve user behaviors you haven’t been following.

Retention analysis

Pinpoint the experiences that keep users coming back

Identify which events and actions have the biggest impact on retention for key segments. Analyze every part of the users’ complex journeys so you can find opportunities to keep users engaging, converting, and coming back.

Common use cases

Make profitable, data-informed improvements to your digital experience

Understand user behavior

Find the best opportunities to tailor experiences for every segment

Create segments of users, then analyze their journeys and behaviors to understand what they care about. See which features they use, which content they engage with, what paths they take, and more—so you can find new opportunities to tailor their experiences.

[Visual] Capabilities - Surveys - Use Cases - Product Improvements - survey results

Improve conversions

See where (and how) to optimize your funnel and keep users moving forward

With Funnel Analysis, analyze predefined steps that users go through towards conversions—even across sessions and devices. See helpful metrics like completion and drop-offs at each point, so you can identify bottlenecks and optimize user flows.

Assess average revenue per user

Discover how user activities connect to spending and retention

Get a full breakdown of how much your different audiences spend, and how much they use your product or service. Find important events in user journeys, like the milestones leading towards a purchase, and see how they affect retention and revenue for key segments.

Understand and improve engagement

Know what captures customer’s attention throughout their journeys

View analyses of funnel metrics like views, time on page, and bounce rate to understand what captures (and loses) customers’ attention. Compare different events—like users viewing blogs or videos—to understand how they affect engagement and re-engagement.

Measure ROI and adoption

Prioritize the most profitable journeys and features

Analyze the customer journey from end to end to discover which paths are most and least likely to generate revenue. Track feature usage to understand how effective your product development and acquisition campaigns are, then prioritize changes accordingly.

Prevent churn

Understand why customers leave, and take action ahead of time

Analyze journeys to find commonalities between users who show signs of frustration or drop out before converting . Next, identify at-risk users based on their journey patterns and take proactive steps to address their needs.