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User Guide: Journey Analysis

Updated yesterday

Overview

Journey Analysis turns your traffic data into clear insights by showing actual paths users take through your website. It's especially useful for improving funnels, making content easier to find, and reducing bounce rates.

You'll be able to:

  • See the sequence of pages visitors go through

  • Spot the most common routes to conversions

  • Find where people get stuck, confused, or drop off

  • Notice unexpected navigation patterns

Instead of guessing how visitors move around your site, you can use real behavior data to improve navigation, content placement, and the overall user experience.


Accessing Journey Analysis

It's easy to access Journey Analysis in Heatmap.

  1. Log in to your Heatmap.com account

  2. Navigate to Journey Analysis from the side menu

Understanding the Journey Visualization

When looking at a journey map you'll start to see different paths users take when navigating on your website.

The journey map displays:

  • Starting points: Where users begin their journey on your site

  • Page node steps: Individual pages from multiple steps in the user path

  • Connection lines: Visual flows between pages, with thickness indicating traffic volume

Setting Up Your Analysis

Reviewing Journey Analysis reports in heatmap are simple.

Step 1: View Your Initial Data

When you first open Journey Analysis, you'll see all sessions displayed within the first step. This gives you an overview of your site's traffic and entry points.

Step 2: Set Your Date Range

Adjust the date range to review the specific timeframe you want to analyze:

  • Click the date picker in the top-right corner

  • Select from preset ranges or choose a custom date range

Step 3: Apply Filters

Apply specific filters to ensure you're reviewing the right user segment. You can filter by device type, traffic source, geography, user type, or create custom segments based on user behavior.

Step 4: Expand Entry Pages to Explore

To start analyzing the data:

  1. Look at the entry pages displayed in Step 1

  2. Entry pages highlight the first page users visit when landing on your site

  3. Click on any entry page you'd like to expand and dig further into

  4. The most visited entry pages will appear at the top of the list

Step 5: Explore User Paths

Once you click into any entry page:

  1. Additional pages will expand to the right, showing the next step users are taking

  2. The thickness of connecting lines indicates how many users followed that path

  3. Continue clicking on subsequent pages to explore deeper into the journey

  4. Collapse any branch by clicking the arrow icon to simplify your view

As you interact with the nodes, you'll start to identify the common paths users are taking through your site.

Common Journey Patterns to Look For

  1. The Expected Path

    • Users follow your intended navigation flow (for example: Homepage β†’ Product β†’ Cart β†’ Checkout)

    • Action: Reinforce this path with clear CTAs and progressive disclosure

  2. The Shortcut Path

    • Users skip expected intermediate steps

    • Action: Ensure shortcuts are available and intuitive. Consider adding quick access links.

  3. The Loop

    • Users repeatedly visit the same pages

    • Action: May indicate confusion or missing information. Review page content and navigation clarity.

  4. The Unexpected Discovery

    • Users find valuable pages through unconventional paths

    • Action: Consider promoting these pages more prominently or improving discoverability.


Best Practices

1. Start with Clear Questions

Before analyzing, define what you want to learn:

  • Where are users dropping off in my funnel?

  • How do users discover my key pages?

  • Are users finding what they need?

2. Review Different Time Periods

Look at journey changes over time:

  • Before/after website updates

  • Seasonal variations

  • Campaign impact

3. Combine with Other Data

Use journey analysis alongside:

  • Heatmaps: See what users click within pages

  • Session recordings: Watch individual user journeys

  • Conversion funnels: Quantify drop-off rates

4. Segment Your Analysis

Different user groups behave differently:

  • New vs. returning visitors

  • Mobile vs. desktop users

  • Traffic source segments

5. Focus on High-Impact Paths

Prioritize optimization for:

  • High-traffic paths with unexpected patterns

  • Paths leading to key conversions

  • Paths with high drop-off rates


Need Help?

If you have questions or need assistance:

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