User Journey Analysis

User Journey Analysis that Reveals Every Step

Mapping and analyzing the complete user journey across every touchpoint to eliminate friction, improve experience, and increase conversion at every stage.

The Path to Conversion

Your users don't experience your brand the way you designed it. They take unexpected paths, encounter invisible friction, and make decisions based on factors you've never measured. Our User Journey Analysis service uses behavioral data, session analysis, and cohort research to reveal exactly how real users navigate your digital experience and where they leave value behind.

The Old Way

Assumed Journeys

The Intelegencia Way

Mapped Journeys

Designed Path Only Measured
All Paths Tracked & Analyzed
No Session-Level Insight
Session-Level Behavioral Insight
Aggregate Data Masks Problems
Segment-Specific Journey Views
Friction Invisible to Team
Friction Quantified & Prioritized
Optimization Based on Guesses
Optimization Based on Evidence

Behavioral Path Analysis

We analyze the actual navigation paths users take through your site or app (not just the designed path) to discover unexpected routes, common dead ends, and high-exit pages that demand intervention.

Navigation Flow Visualization
Most Common Path Mapping
Dead-End Page Identification
Cross-Device Journey Stitching
Entry Point & Exit Point Analysis
Behavioral Path Analysis
Friction Point Identification

Friction Point Identification

We isolate every point in the user journey where momentum breaks (high-exit pages, form abandonment, rage clicks, slow-load moments, and confusing UI patterns) and quantify the revenue impact of each friction source.

Rage Click & Error Click Detection
Form Field Drop-Off Analysis
Page Speed Impact Measurement
Confusion Pattern Recognition
Revenue Impact Quantification

Segment & Cohort Journey Views

Different user segments experience different journeys. We break journey analysis down by acquisition channel, device type, geographic market, and behavioral cohort to surface segment-specific patterns that aggregate data hides.

Channel-Specific Journey Mapping
New vs. Returning User Paths
Mobile vs. Desktop Journey Comparison
Cohort Retention Pathway Analysis
High-Value Segment Journey Modeling
Segment & Cohort Journey Views

Vertical Journey Logic

Journey mapping and friction diagnosis tuned to how each industry's users actually navigate, surfacing the drop-off points aggregate data hides.

E-commerce

Browse-to-checkout path analysis and cart-abandonment diagnosis.

SaaS

Onboarding and feature-adoption journey mapping across sessions.

FinTech

Multi-step application journeys and drop-off quantification.

Media

Content-consumption paths and subscription funnel analysis.

Journey Analysis Process

Five steps that map real user paths and eliminate friction, covering tracking audits, behavioral path visualization, segment analysis, and priority-ranked optimization roadmaps.

1

Tracking Audit

Ensuring all relevant user interactions are instrumented and measured.

2

Journey Mapping

Visualizing the actual paths users take across your digital experience.

3

Friction Diagnosis

Identifying and quantifying the impact of each friction point.

4

Segment Analysis

Isolating journey differences across key user segments and cohorts.

5

Optimization Roadmap

Prioritizing improvements by revenue impact and implementation feasibility.

Measured Performance. Proven Growth.

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Journey Visibility
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Friction Reduction
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Task Completion
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Revenue Impact

Frequently Asked Questions
About User Journey Analysis

Here you will find answers to questions we get asked the most about our offerings.

We work with Google Analytics 4, Amplitude, Mixpanel, Hotjar, FullStory, and Heap depending on your existing stack.

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