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Journey analytics

Updated over 2 weeks ago


Overview

Journey analytics allow you to analyze the performance of your journey.

Sections overview

The Metrics section provides an overview of user progress through the journey β€” from entry to completion.
It also displays conversion data, showing how effectively the journey drives users toward the selected goal.

Metrics

The following section explains how to interpret each configuration element.


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1. Date range

The date range within a journey chart determines the absolute bounds for which journey events you want to include in your graph.

All dates and times in Intempt reflect the project time zone.

Tab value

Meaning

Description

Custom

Custom

You can select a specific date range, e.g., May 1 - May 31

Today

Today

Includes the current incomplete day up to the current second.

Yesterday

Yesterday

Includes the whole of the previous day from midnight to midnight.

7D

Last 7 days

Last 7 days and the query count from the current incomplete day up to the current second.

30D

Last 30 days

Last 30 days and the query count from the current incomplete day up to the current second.

3M

Last 3 months

Last 3 months and the query count from the current incomplete day up to the current second.

6M

Last 6 months

Last 6 months and the query count from the current incomplete day up to the current second.

12M

Last 12 months

Last 12 months and the query count from the current incomplete day up to the current second.

2. Legend

Legend helps users interpret the data presented in the visualization by labeling each data category.

You can disable/enable the display of time series data by clicking on the legend item.

7. Table view

The table displays time-series data for each of the journey transformers.

Columns

Each column in the table represents a specific period (monthly in this case), showing the progression and activities of users. This helps you observe trends over time, understand seasonal impacts, or gauge the effectiveness of changes made to the journey.

πŸ“˜ Good to know

Time-series columns will depend on the "Group by" selected above the chart.

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Rows

  • All Users. Shows the total number of users who have interacted with the campaign in some capacity.

  • Entered. Indicates the number of users who started the journey.

  • In Progress. Shows the number of users currently in a journey block but haven't moved to the next step, potentially due to waiting periods or lack of action. Changes in this number across months can reflect different user behaviors or adjustments in the journey's design.

  • Completed. Reflects the number of users who completed or exited the journey. Variations across months can indicate how alterations in journey design or external factors influence completion rates.

  • Failed. Indicates instances where a journey action failed (e.g., an email not being sent successfully). Useful for identifying technical issues or poorly performing actions within the journey.

  • Delivered. Refers to successful deliveries of communications, like emails or notifications, as part of the journey. Increases in deliveries can correlate with higher completion rates if the communications effectively prompt actions.

Interpreting the data

By analyzing these metrics, you can identify what's working well in your campaigns and what might need adjustment to improve user progression and completion rates.

  • Stability and change. The consistency in "Entered" users versus the variability in "In Progress" and "Completed" suggests adjustments or user responses are affecting journey progress and completion rates.

  • Troubleshooting. The "Failed" row can help identify where your journey is going wrong, potentially impacting its effectiveness.

  • Engagement insights. "Delivered" helps gauge the reach of your communications, integral to understanding the engagement level.

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