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.
β
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.
π Good to know
Time-series columns will depend on the "Group by" selected above the chart.
β
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.